Asymmetric Capital-Tax Competition, Unemployment and Losses from Capital Market Integration

Size: px
Start display at page:

Download "Asymmetric Capital-Tax Competition, Unemployment and Losses from Capital Market Integration"

Transcription

1 Asymmetc Captal-Tax Cmpettn, Unemplyment and Lsses fm Captal Maet Integatn Rüdge Pethg Fede Klleß CESIFO WORKING PAPER NO CATEGORY : PUBLIC FINANCE SEPTEMBER 2009 An electnc vesn f the pape may be dwnladed fm the SSRN webste: fm the RePEc webste: fm the CESf webste: Twww.CESf-gup.g/wpT

2 CESf Wng Pape N Asymmetc Captal-Tax Cmpettn, Unemplyment and Lsses fm Captal Maet Integatn Abstact In a mult-cunty geneal equlbum ecnmy wth mble captal and gd-wage unemplyment, cuntes may dffe n captal endwments, pductn technlges and gd wages. Gvenments tax captal at the suce t maxmze natnal welfae. They accunt f tax base espnses t the tax and tae as gven the wld-maet nteest ate. We specfy cndtns unde whch - n cntast t fee tade wth undstted lab maets - welfae declnes and unemplyment nceases n sme cuntes () when mvng fm autay t tade wthut taxatn and/ () when mvng fm tade wthut taxatn t tax cmpettn. JEL Cde: E24, H25, H87, J64, R3, F2. Keywds: captal taxatn, asymmetc tax cmpettn, gd wages, unemplyment, lsses fm tade. Rüdge Pethg Unvesty f Segen Depatment f Ecnmcs Heldelnstasse Segen Gemany pethg@vwl.ww.un-segen.de Fede Klleß Unvesty f Segen Depatment f Ecnmcs Heldelnstasse Segen Gemany lless@vwl.ww.un-segen.de

3 Asymmetc captal-tax cmpettn, unemplyment and lsses fm captal maet ntegatn The pblem The ntenatnal mblty f captal has massvely nceased ve the last decades, gvenments dstt tade by taxng subsdzng captal, and unemplyment s a pesstent phenmenn n many cuntes. The fee-tade paadgm pmses gans fm ntenatnal tade n a pefectly cmpettve wld n the absence f taxatn but leaves unansweed the questn what the allcatve mpact s f tade when captal s mble, when cuntes suffe fm unemplyment, and when the gvenments engage n captal-tax cmpettn. The pesent pape ams at explng the mpact f captal maet ntegatn n a multcunty ecnmy wth hetegeneus cuntes, pesstent gd-wage unemplyment and captal-tax cmpettn. Each cunty pduces the same cnsumptn gd wth the help f lab and captal, and unemplyment esults fm excessvely hgh and gd wage ates. Cuntes may dffe wth espect t the gd wage ates, captal endwments and pductn technlges. Gvenments levy captal taxes at the suce whse ates ae nt sgn cnstaned and whse evenues ae ecycled t the cnsumes. Gvenments chse the tax t maxmze natnal ncme (= welfae) tang accunt f hw the dmestc fms' demands f captal espnd t the tax. We use that mdel t nvestgate the changes n the cuntes' allcatn and welfae, when mvng fm autay t tade wthut taxatn and fm tade wthut taxatn t tax cmpettn. Thee s a lage and gwng lteatue n captal tax cmpettn. The classc papes f Zdw and Meszws (986) and Wlsn (986) analyze the mpact f captal-tax cmpettn n the pvsn f publc gds when lab maets ae pefectly cmpettve. Sme f the subsequent lteatue t up the ssue f tax cmpettn n the pesence f lab maet dsttns, e.g. Fuest and Hube (999), Lete-Mnte et al. (2003), Egget and Gee (2004), Ogawa et al. (2006) and Anssn and Wehe (2008). Hweve, these studes assume dentcal cuntes and theefe yeld lmted nsght nly n allcatve effects f the tanstn fm autay t tade and tax cmpettn. Symmetc tax cmpettn means that tade des nt tae place and that neffcences f tax cmpettn, f any, ht all cuntes ale. The sze f the cuntes' ppulatns (= lab endwment) may vay as well. Hweve, snce all cuntes ae assumed t suffe fm unemplyment the ppulatn sze s elevant. 2

4 Asymmetc tax cmpettn s studed, e.g., by Wlsn (99), Bucvetsy (99), DePate and Myes (994), Pealta and van Ypesele (2005) and Sat and Thsse (2007). But nne f these cntbutns deals wth lab maet dsttns and unemplyment 2. Pealta and van Ypesele (2005) addess the ssue f 'gans fm tade' and fnd f quadatc pductn functns that " fscal cmpettn edes sme, but nt all, f the gans fm lbealzatn." (bdem, p. 259). As we wll pesent cases f tade lsses n the pesent pape, Pealta and van Ypesele's esult suggests that t s the cmbnatn f asymmetc tax cmpettn and lab maet dsttns that has the ptental f endeng captal maet ntegatn unfavable f sme cuntes. Tang the tme-hned fee-tade paadgm as a efeence, thee s, f cuse, a lage lteatue n tade unde vaus cndtns f secnd best. In the pesent cntext the cntbutns f Kemp and Negsh (970) and Eatn and Panagaya (979) ae wth mentnng wh fcus n gans fm tade when cmmdtes ae taxed and fact maets ae dstted. Hweve, they d nt mdel captal-tax cmpettn. Me ecently, the ssue f gans fm tade has been lned t captal-tax cmpettn, e.g. by Kessle et al. (2003) and Lcwd and Mas (2006), wh analyze captal-tax fnanced edstbutn plces and vtng n ecnmes wthut lab maet dsttns. Al et al. (2009) pesent a mdel f tw cuntes whch ae dentcal except that the lab maet n ne cunty s pefectly cmpettve and unnzed n the the cunty. They detemne cndtns unde whch ethe cunty pefes autay t captal maet ntegatn. In the mdel, n tax cmpettn taes place. Summng up, t u nwledge the cnsequences f captal maet ntegatn n a multcunty ecnmy wth lab maet dsttns and asymmetc captal-tax cmpettn have nt yet been analyzed n the lteatue. The pesent pape ams t fll that gap. It cnsdes 'small cuntes' as n Zdw and Meszws (986) and Wlsn (986) athe than mdelng gvenments playng Nash n tax ates. Wth the cncept f gd-wage unemplyment u mdel elates mst clsely t Ogawa et al. (2006). We devate fm the appach by dppng the ssue f publc-gd pvsn 3, by cnsdeng hetegeneus cuntes and by addessng the cnsequences f mvng fm autay t tade and captal-tax cmpettn. Fuest and Hube (999) and late Ogawa et al. (2006) shw that a gvenment's ptmal captal tax 2 A lmtng case s Sat and Thsse (2007) wh cnsde a lab maet wth hetegeneus slls, cstly tanng and the need f matchng the fms' sll needs. Yet the analyss elates t full emplyment except f a hnt n the cncludng emas that fscal cmpettn mght well tgge unemplyment n a cunty. 3 The ssue f ptmal pvsn f publc gds s dpped n many cntbutns t the tax cmpettn lteatue such as Lete-Mnte et al. (2003), Egget and Gee (2004), Pealta and van Ypesele (2005) and Sat and Thsse (2007). Suppessng the fscal pupse f captal taxatn allws slatng the welfae-maxmzng gvenment's ncentve t stmulate dscuage the use f captal n pductn. 3

5 ate may be pstve negatve dependng n whethe captal and lab ae substtutes cmplements n pductn 4. These ppetes f the pductn technlgy wll tun ut t have a ma mpact n the allcatve cnsequences f captal maet ntegatn. That s why we wll analyze technlges wth captal and lab beng ethe substtutes cmplements. Ultmately, t s an empcal ssue, f cuse, what the elevant pductn technlgy s le. Hweve, as the petanng empcal evdence s qute cmplex, f nt ambguus, e.g. Glches (969), Begstöm and Panas (992) and Duffy et al. (2004), t appeas t be apppate and necessay clafyng the analytcal cnsequences f altenatve assumptns n pductn technlges. The pape s ganzed as fllws. Afte havng ntduced the mdel n Sectn 2, we dentfy cndtns n Sectn 3 unde whch cuntes gan lse n the tanstn fm autay t tade f captal s ntenatnally mble and gvenments d nt tax captal. In Sectn 4 we fst chaacteze an ndvdual gvenment's ptmal captal tax plcy and shw that t nceases dmestc emplyment f sme gven wld maet ate f nteest. Then we nvestgate the allcatve dsplacement effects that ccu when the ecnmy mves fm tade wthut captal taxatn t captal-tax cmpettn. Unde cetan cndtns that tanstn tuns ut t be welfae deceasng f sme cuntes. Sectn 5 cmbnes the esults fm the tw pevus sectns and dentfes cndtns unde whch sme cuntes suffe a welfae lss and a se n unemplyment n the tanstn fm autay t tax cmpettn. Sectn 7 cncludes. Fmal pfs f all ppstns ae delegated t the Appendx. 2 The mdel: gd wages, mble captal and captal taxatn Cnsde an n-cunty ecnmy n whch each cunty =,, n pduces the amunt y Y (, ) = () f a cnsumptn gd by means f captal nput and lab nput accdng t the stctly cncave 5 pductn functn Y that exhbts pstve fst devatves. The cnsumptn gd and captal ae taded n cmpettve wld maets at pce p and nteest ate 4 If the utput Y(, ) s pduced wth captal nput and lab nput, captal and lab ae sad t be substtutes n pductn, f Y < 0, and cmplements, f Y > 0. 5 Assumng stctly cncave pductn functns s ndspensble because thewse we wuld nt btan welldefned fact demand functns. See equatn (2) belw. Unftunately, n the geneal fm stctly cncave pductn functns gve lmted nsghts nly. Theefe, we wll late cnsde me specfc paametc functnal fms as well. 4 y

6 , espectvely. Immble lab s taded n dmestc maets at the wage ate, =,, n. The gvenments f all cuntes tax captal at the suce such that the 'aggegate' pduce n cunty faces the afte-tax ental ate f captal, w ρ : = + t, whee t s the sgnuncnstaned 6 captal tax ate. Fm maxmzes pfts π : = y w ρ as a pce tae gvng se t the standad fact demand functns = K ( ρ, w ) and = L ( ρ, w ), (2) whee 7 K = Y / D < ρ 0, Kw =Y / D, Lw = Y / D< 0, Lρ = Y / D, and D: = YY ( Y ) 2 0 > ; Y may be pstve negatve. Except f bef efeences t the benchma mdel wth flexble wage ates we fcus exclusvely n scenas f pesstent gd wages that ae suffcently hgh as t mae all cuntes suffe fm unemplyment. Me fmally, dente by the numbe f cnsumes esdng n cunty, let each cnsume ffe ne unt f lab and cnsde stuatns f excess supply f lab, 8 m m L ( ρ, w > ) f all =,, n (3) Accdng t (3), m L ( ρ, w ) > 0 cnsumes ae unemplyed and the L (, w ) ρ bs ffeed by fm ae andmly allcated t cnsumes. As cnsumes spend the ncme n a sngle cnsumptn gd nly we can d wthut utlty functns. The natnal ncme f cunty s x : = + π + t + w, whee s cunty 's aggegate captal endwment and whee pfts π and the tax evenues t ae ecycled t the cnsumes 9. Cmbnng (), (2) and π = y w ρ yelds natnal ncme (= welfae) x as a functn f, t and w: (,, ): (, ), (, ) (, ) X t w = Y K + t w L + t w K + t w. (4) 6 If t < 0, captal s subsdzed. T avd clumsy wdng we wll use the tem tax espectve f the sgn f t. 7 Captal lettes dente functns and subscpts t captal lettes dente fst devatves. T smplfy ntatn we Y Y wte nstead f etc. 8 Me pecsely, (3) s assumed t hld n all equlba t be specfed belw. 9 We need nt specfy the shaes f pfts and tax evenues allcated t ndvdual cnsumes because we efan fm fcusng n utlty dstbutns. 5

7 The gvenment f cunty =,, n s suppsed t maxmze natnal ncme X ( t,, w ) wth espect t the captal tax ate. As the defntn f t (,, ) X t w n (4) shws, t accunts f the mpact f tax vaatns n ts fm's fact demands (2) but taes as gven the wld pce,, f captal. F pedetemned tax ates t,..., tn the cndtn f cleang the wld captal maet s = K ( + t, ) w. (5) If (5) s satsfed, the wld maet f the cnsumptn gd s als cleaed whch fllws fm summng (4) ve all. The cncept f geneal equlbum f the n-cunty ecnmy s staghtfwad: F gven captal endwments,..., n and f pesstent gd wage ates w,..., wn a tax-cmpettn equlbum wth unemplyment s fmally detemned by the set = { n ( ) =,..., n} whee the allcatn ( x, y,, ) =,..., E: t,..., t,, x, y,, n and the nteest ate satsfy the equatns () (5) f ( t,..., t n ), and whee gvenment =,, n chses ts tax ate t as t maxmze (4). { n =,..., n} It wll tun ut t be useful t cnsde als equlba E: t,..., t,, ( x, y,, ) = n whch tax ates ae exgenusly fxed athe than ptmally chsen by the gvenments. We wll call such equlba cnstant-tax tade equlba n cntast t tax-cmpettn equlba as defned n the last paagaph. Nte that the n-tax tade equlbum ( ) t =... = t n 0 s a specal cnstant-tax tade equlbum. When we late nvestgate the ncdence f tax cmpettn, we wll explt an equvalence between tax-cmpettn equlba and cnstant-tax tade equlba whch ases because due t (5) the captal maet equlbum depends n and t,..., tn thugh ρ,..., ρ n nly. In fmal tems, we state that equvalence n Ppstn (Neutalty f unfm vaatns n tax ates). { n,..., n} If E : t,..., t,, ( x, y,, ) = s a tax-cmpettn equlbum a cnstant-tax = { θ n θ θ =,..., n} tade equlbum, E : t,..., t,, ( x, y,, ) equlbum f all θ <. = + + s a cnstant-tax tade θ 6

8 Ppstn s a standad esult n tax ncdence they. Unfm vaatns n captal tax ates ae nn-dsttnay because the ttal supply f captal ( = ) s pefectly pce nelastc. Thus unfm changes n all tax ates can be exactly ffset by changes n the nteest ate f equal sze and ppste sgn. Ppstn wll be used n the pf f u man esult n Sectn 4.2 belw. 3 Fm autay t tade wthut taxatn Ou fst step twad nvestgatng gans lsses fm tax cmpettn s t exple the allcatve changes that ccu when the cuntes mve fm autay t tade n the absence f captal taxatn. F the mdel ntduced n the pevus sectn, the efeence scena f autay s staghtfwad. All captal maets ae natnal and (5) s eplaced by = K ( + t, w ) f =,, n wth dentng the nteest ate n cunty. Nte fst that n autay captal taxatn s nn-dsttnay because the supply f captal s pefectly nelastc n each cunty. Hence we set t 0, f cnvenence. Snce we allw cuntes t dffe n the fundamentals 'captal endwments', 'pductn technlges' and 'wage ates', the equlbum nteest ate n autay wll geneally dffe acss cuntes. Usng the geneal functnal fm () f the pductn functn t s had t specfy ppetes f the mappng fm the fundamentals t the autac equlbum nteest ate. We theefe est t CES pductn functns n Ppstn 2 (Detemnants f the sze f the equlbum nteest ate n autay) Suppse captal s untaxed and cunty 's pductn functn s CES,.e. t satsfes e, (6) e e ( ) = ( + ) Y, a a a whee a > 0, a > 0, a > 0, σ >, 0 b σ, b ] 0,[, and e ( σ ) : = / σ. F any gven elastcty f substtutn, σ > 0, σ, cunty 's autac equlbum nteest ate, a, s deceasng n ts captal endwment, Fllwng an ncease n the gd wage ate, ses / emans unchanged / declnes dependng n whethe. a σ s geate than / equal t / smalle than c ( b ) = / >. 7

9 Clealy, expandng the captal endwment nceases captal abundance and hence educes the pce f captal ( ). Inceasng the wage ate maes captal scace ( ) less scace a ( ) dependng n whethe captal and lab ae substtutes ( σ > c ) cmplements a ( σ < c ). Ppstn 2 can be cnvenently used t cmpae the autac equlbum nteest ate f dffeent cuntes whse pductn functns ae CES. T see that suppse sme cuntes and ae chaactezed by the paametes (, w ) and (, ) mplctly Ppstn 2 defnes a functn, say a w and bseve that h h R, such that ha = R ( h, wh ) f h =,. If bth cuntes use the same pductn functn ( R = R = R), they have the same autac nteest ate ( a = a ), f and nly f R(, w) = R(, w). Meve, the nequalty a > a hlds, f, cetes pabus, ethe { < w w } { > and σ > c } { w < w and σ < c }. Suppse nw that all cuntes have attaned the autac equlbum and the bdes ae subsequently pened f tade n captal and the cnsumptn gd whle all gvenments efan fm taxatn. It s staghtfwad fm (5) (wth t 0 f all ) that the n-tax tade mn max equlbum nteest ate, dented, satsfes, mn, when s the smallest and a a a max a mn a max a s the lagest autac equlbum nteest ate f all cuntes and <. F any cunty wth autac nteest ate a the allcatve cnsequences f the tanstn fm autay t the n-tax tade equlbum clealy depend n the sgn f the dffeence a. We tae ths dffeence as u pnt f depatue f analyzng the mpact f mvng fm autay t the n-tax tade equlbum and explctly allw f dffeent pductn technlges. The esults ae summazed n Ppstn 3 (Tanstn fm autay t n-tax tade) Suppse all gvenments efan fm taxatn ( t 0 f all ) and cnsde the tanstn f the n-cunty ecnmy fm ts autay equlbum (subscpt a) t ts ze-tax tade equlbum (subscpt ). () The allcatve mpacts f that tanstn ae summazed n Table. () Suppse the cases 7 n Table apply and the pductn functns ae Cbb- Duglas, defned by 8

10 ( ) = Y, α β f all wth α > 0, β > 0and α + β = : b <. (7) If the pductn functns ae the same acss cuntes ( α = α and β = β, all ) then the fllwng equvalences hld: > > < < = ω = a = a x = xa, (8) < < > > whee : nw = and ω : =. β c n w β c () If Case 6 n Table apples and the pductn functn s CES, (6), cunty lses fm tade f the elastcty f substtutn n pductn, σ, satsfes ( )( w + q ) a w σ > c + > c, whee q : = w a σ σ and c : = >. b > a = a < a L < 0 L > 0 L = 0 L > < 0 L = 0 L > 0 L < 0 Case N y x a a y -? - 0 +? + a x ) a? (-) ? (-) ) ) F detals see the Ppstns 2 and 2 + Table : Allcatve mpacts f the tanstn fm autay t n-tax tade A few emas n Table ae n de. The tp w dstngushes the cases n whch cunty 's autac equlbum nteest ate, a, s lwe than, equal t hghe than the wld maet nteest ate n the n-tax tade equlbum,. Nte that ne can cmbne that nfmatn wth the esults establshed n Ppstn 2 t tace the dffeence a t dffeences n captal endwments and gd wages 0. The secnd w n Table elates t ppetes f 0 Recall that Ppstn 2 allws dentfyng the captal endwments and the wage ates as detemnants f the dffeences a f the case f dentcal CES pductn functns. 9

11 the lab demand f cunty 's fm, whch n tun ae detemned by ppetes f the pductn functn as shwn n equatn (2). T be me specfc, f pductn functns ae Cbb-Duglas, (7), we have Y > 0. Hence f Cbb-Duglas the Cases, 4 and 7 apply. CES pductn functns (6) exhbt Y < > 0, f and nly f σ > < c. Theefe, such functns ae examples f the Cases 2, 4 and 6, f σ > c, f the Cases, 4 and 7, f σ < c, and f the nfe-edge Cases 3 and 5, f σ = c. Case 4 s tval but nt entely unnteestng f sme cnclusns n the next sectn. Fgue : Illustatn f the cases and 6 n Table The esults lsted n Table can be easly llustated. In Fgue we tae up the Cases and 6 f Table that ae unclea n the sgn f x x a and leave the llustatn f the the cases t the eade. In bth panels f Fgue, ya s gven by the aea 0BC, and y s gven by 0AE. In Case captal s expted, and the value f these expts s equal t the aea DE n the left panel f Fgue. In Case 6 captal s mpted, and the value f these mpts s equal t the aea DE n the ght panel f Fgue. It fllws that n Case [Case 6] we have x = 0AED such that x s smalle than / equal t / geate than x a, f and nly f the aea ABFE [ABCF] s geate than / equal t / smalle than DFC [DFE]. Accdng t Table cunty unambguusly gans fm tade n the Cases 2, 3 and 7, whle the welfae change n the Cases and 6 emans unclea f geneal pductn functns. T gan addtnal nsghts n changes f natnal ncme n the unclea cases, we have specfed 0

12 the pductn technlgy n Ppstn 3 by Cbb-Duglas functns thus estctng the fcus f Ppstn 3 t the Cases 7 f Table, as agued abve. The stng esult f Ppstn 3 s that wth Cbb-Duglas functns cuntes lse fm tade and suffe fm hghe unemplyment - n Case f Table and they gan fm tade and eny hghe emplyment - n Case 7 f Table. Ppstn 3 demnstates that cuntes wth CES pductn functns may als lse fm tade f the elastcty f substtutn s lage enugh. As mentned abve, f CES pductn functns we can use Ppstn 2 t specfy cndtns n fundamentals unde whch a cunty wll expt mpt captal afte the bdes ae pened. F Cbb-Duglas functns Ppstn 3 establshes an even me nfmatve clea elatnshp between the dffeence n nteest ates, a, n the ne hand and captal endwments and wages f all cuntes, n the the hand. It s theefe wthwhle analyzng and ntepetng (8) n sme me detal. Suppse fst the cuntes dffe n the captal endwments nly. If the level f gd wages s the same n all cuntes, we have ω = f all such that (8) s tuned nt > > < = = x = x < < > a a Unde these cndtns cunty lses [gans] fm tade, f and nly f ts captal endwment exceeds [falls sht f] the cuntes' aveage captal endwment,. If captal s elatvely. abundant ( > ), cunty 's equlbum nteest ate n autay s lw ( < ) and s a bund t se when captal s ntenatnally taded. Recall that K < 0 hlds f all stctly cncave pductn functns, and that L < 0 hlds because f (7). Theefe cunty wll use less captal and lab and wll cnsequently pduce less utput, s much less, that the (new) evenues fm exptng captal d nt cmpensate f the eductn n utput. 2 Cnvesely, cuntes wth a elatvely small captal endwment ( < ) wll face a lwe nteest ate n tade equlbum ( such that the exta value f utput s geate than the expendtue n captal mpts. Ths ea > ) whch, n tun, bsts the nput f bth captal and lab Case 7 apples f me geneal pductn functns as well. 2 Nte that f the wage ate wee flexble, wuld shn t este the full emplyment equlbum n the lab maet whch wuld then tend t bst dmestc pductn. w

13 sult cnfms the gans fm tade stated aleady unde me geneal cndtns n the Case 7 f Table. T fcus n the le played by gd wages, suppse all cuntes ae endwed wth the same amunt f captal, =... = n =, but dffe wth espect t the wage ates. Invng (8), we establsh the fllwng equvalences: > > > < = ω w = w = a x = xa, whee < < < > βc βc w w : =. n Hence n that case, thee s a pstve numbe w, the same f all cuntes, such that cunty lses / s equally well ff / gans fm tade, f and nly f ts wage s abve / equal t / belw w. The magntude f the theshld value w s unclea. We wuld le t nw, n patcula, hw w elates t w : = w /n, the aveage wage. One can shw 3 that ( ) w> w, f and nly f βc β c + βc. n > w / w > 0 In the wds, n an ecnmy wth a suffcently lage numbe f cuntes nly thse cuntes lse fm tade whse wage ate s well abve the aveage wage ate. Nte that the theshld value whch needs t be exceeded f the numbe f cuntes t be lage enugh depends n the level f wage ates and n paametes f the Cbb-Duglas technlgy. T hghlght the cnsequences f gd wages n the tanstn fm autay t tade fm anthe pespectve, we establsh w Ppstn 4 (Tanstn fm autay t n-tax tade wth flexble wages) Suppse that all gvenments efan fm taxatn ( t 0 f all ), that wages ae flexble, and that pductn functns ae Cbb-Duglas, (7), the same acss cuntes. The tanstn f the n-cunty ecnmy fm autay (subscpt a) t ts n-tax tade equlbum (subscpt ) s chaactezed by > > < > βγ nm = m = a w = wa x = x < < > > a, whee m = (9) βγ m 3 The pf s pvded at the end f the Appendx. 2

14 As expected, Ppstn 4 cnfms f the mdel at hand the geneal gans-fm-tade esult f ecnmes wth a full set f pefectly cmpettve maets. In the pesent cntext the pupse f Ppstn 4 s t use (9) as a efeence f futhe ntepetatn f the equvalences (8) fm Ppstn 3. T eep the expstn smple, we estct that cmpasn t wage ates and lab endwments satsfyng the cndtn ω = m =, whch hlds, e.g., f we set w = w2 =... = wn n Ppstn 3 and m = m2 =... = mn n Ppstns 4. Obvusly, n that case the fst equvalences n (8) and (9) ae the same. Hweve, (9) shws that mantanng full emplyment f lab afte penng the bdes esults n a lwe wage ate n captalch cuntes and a hghe wage ate n captal-p cuntes. In the captal-ch cunty we fnd that w < wa < w, whee the wage ates w and wa, espectvely, ae equlbum ates n autay and tade n the flexble-wage scena f Ppstn 4, whle w s the gd wage ate f Ppstn 3. Hence when the wage ate s gd, allwng f tade wdens the dffeence between the gd wage ate and the espectve equlbum wage ates n case f flexble wages ( ) ( w w > w w a ). As a cnsequence, the lab maet dsequlbum s aggavated and unemplyment ses, whch n tun educes natnal ncme (last equvalence n (8)). In cntast, f the captal-p cunty we fnd the nequaltes whch mply that penng the bdes f tade educes the dffeence between the gd wage ate and the espectve equlbum wage ates n case f flexble wages wa < w < w ( w w ) < ( w w ) a. Theefe tade dmnshes the lab maet dsequlbum and thus ases emplyment as well as natnal ncme. 4 Fm tade wthut taxatn t captal tax cmpettn Havng clafed the allcatve cnsequences f the tanstn fm autay t tade wthut taxatn n the pevus sectn we nw tae as u pnt f depatue the tade equlbum wthut taxatn and analyze the allcatve mpact f tax cmpettn. As a fst step twad that end t s necessay and useful t tae a clse l at the gvenment's ptmzatn calculus. 4. Ppetes and mplcatns f an ndvdual gvenment's ptmal captal tax By assumptn, gvenments chse the captal tax as t secue the maxmum natnal ncme (= welfae), (4), f any gven nteest ate. The esultant ptmal tax ates ae chaacte- 3

15 zed n Ppstn 5 (Ppetes f the ptmal captal tax). 4, 5 Gvenment 's ptmal tax ate satsfes the cndtn wl t = = K ρ wy ρ Y. (0) If the pductn functns ae CES, (6), Cbb-Duglas, (7), espectvely, (0) s tuned nt t = σ σ ρ σ σρ + ( / ) a a cw σ c and t = β < 0. () whee a > 0, a > 0, σ, c : / ( b ) = and ρ : = + t. Snce L >0 Y < < > 0, the ptmal tax ate s negatve f the pductn functn s Cbb- Duglas. In case f CES pductn functns we have Y < > 0, f and nly f σ > < c, and theefe t < > 0 f and nly f σ < > c. When pductn functns ae Cbb-Duglas, the ptmal tax ates ae unfm acss cuntes, f and nly f the technlgy s the same n all cuntes. Inteestngly, dffeences wth espect t the captal endwments and wage ates d nt tanslate nt dffeences n ptmal tax ates. When pductn functns ae CES, the ptmal tax ates ae the same acss cuntes, f and nly f all cuntes have dentcal pductn functns and dentcal wage ates. Dffeences n captal endwments d nt matte. Cases f unfm dentcal tax ates wll be f sme nteest n Sectn 4.2 belw. By pesuppstn, f the gvenment sets ts tax ate accdng t (0), the cunty's ncme s maxmzed. But t s nt clea hw ncme maxmzatn changes the level f emplyment, n patcula, f we allw f dffeent sgns f Y. We pvde the answe n Ppstn 6 (Incme maxmzatn always pmtes emplyment) 4 Nte that n (0) the tems L and K ρ ρ ae functns f t. 5 The equatn (0) has been deved by Fuest and Hube (999) and late by Ogawa et al. (2006). Fuest and Hube (999) emply a ght-t-manage mdel f wage baganng f the lab maet. When they mdel gvenments maxmzng utlty f a gven wage ate; they deve an ptmal tax ate n the equatn (26) equal t (0) f e ' = 0. Ogawa et al. (2006) deve (0) n a setup whee gvenments levy a head tax and a captal tax and fnance a publc gd. Iespectve f these dffeences, the atnale f levyng the captal tax n the pesent mdel s the same as n Fuest and Hube (999) and Ogawa et al. (2006). 4

16 t Let be the ptmal tax ate f gvenment (satsfyng (0)), f sme nteest ate pevals. Iespectve f the sgn f (.e. the sgn f ) t s tue that the gvenment's ptmal tax ate nceases emplyment alng wth natnal ncme as cmpaed t the n-tax stategy ( +, ) > (, ) L t w L w. t T see the atnale f that synegsm bseve that the change n natnal ncme esultng fm a small vaatn n the tax ate s gven by Y X YK YL K = + = ( ) K wl t ρ l ρ ρ ρ + = ρ ρ tk ρ + wl, ρ f the wage ate s gd. If the lab maet wee pefectly cmpettve, the tem YL ρ wth Y = w wuld be absent. As an mmedate mplcatn ptmalty wuld eque t abstan fm taxatn ( X t = 0 t =0). Hweve, snce the wage ate s gd, the devatve f natnal ncme wth espect t the tax ate s equal t the sum f the cmpnents ( ρ ) K ρ and wl ρ. T ntepet these tems suppse captal s taxed ( t ρ 0 = > ) n the ntal stuatn and the tax ate s nceased, dt = dρ > 0. We then bseve the patal magnal beneft effect K ρ > 0 f nceased captal expt evenues educed expendtues n captal mpts, and ρ < 0 s the magnal cst f educed utput. Hence ρ <. The K ρ ( ) 0 K ρ sgn f wl ρ depends n whethe Y > 0 0 Y <. If Y > 0, the dp n captal nput (fllwng dt = dρ > 0 ) dmnshes the magnal pductvty f lab,, cetes pabus. Y Hweve, the fst-de cndtn f pft maxmzatn, Y = w, and the gd wage ate w nduce the fm t 'este' the fme level f Y. It des s by educng ts lab nput, L ρ < 0 such that wl ρ < 0 s anthe magnal cst tem yeldng ( ρ ) 0 X = K + wl < t ρ ρ, f t > 0. T attan the fst-de cndtn f a maxmum f t s theefe necessay t chse ρ < and hence a captal subsdy, t < 0, n ths scena. x Analgus aguments apply t the case Y < 0. Recall the qualfcatn f Ppstn 6 that gvenment 's pmtn f emplyment s subect t the cndtn that t taes the nteest ate as gven. T fx u deas tae as the baselne the n-tax tade equlbum wth ts equlbum nteest ate and suppse that all gven 5

17 ments ntduce the ptmal captal tax tang the nteest ate as gven. The clea mplcatn f Ppstn 6 s that all cuntes wll ase the ncme as well as the level f emplyment. The bad news s, hweve, that the wld captal maet wll nt be n equlbum anyme. Hence t este equlbum the wld nteest ate wll have t change, n geneal, gvng se t the pssblty that tax cmpettn may patly ffset pehaps even defeat the gvenment's efft t pmte bth welfae and emplyment. We wll study that ssue n the fllwng subsectn. 4.2 The mpact f tax cmpettn as cmpaed t tade wthut taxatn Statng fm the scena f tade wthut taxatn we wsh t detemne hw tax cmpettn changes the allcatn attaned n the n-tax tade equlbum. In the wds, we nw tae as a benchma the n-tax tade equlbum and cmpae the petanng allcatn wth the allcatn attaned n tax-cmpettn equlbum. Analgus t the le f the dffeence a n case f the tanstn fm autay t tade (Ppstn 3), the change n the nteest ate fm (n-tax tade equlbum) t (tax-cmpettn equlbum) wll nw tun ut t play an mptant le. It s theefe mptant t nw what detemnes the sgn f the dffeence all, then. A clea-cut answe s pssble, f sgn t s the same f all. If t < > because < K ( + t, w ). In that case must se t este equ- lbum n the captal maet, (5). Lewse, f t > 0 f all, then because > K ( t, + w ). Nw must declne t este equlbum n the captal maet. If technlges ae mxed such that t < 0 f sme cuntes and t > 0 f thes, the dffeence may tae n ethe sgn. Keepng these pelmnaes n mnd we ae nw eady t cmpae the allcatns f the ntax tade equlbum and the tax-cmpettn equlbum n Ppstn 7 (Tanstn fm tade wthut taxatn t tax cmpettn) Cnsde the n-tax tade equlbum E : t 0,..., t 0,, ( x, y,, ) < { =,..., } n n 0 f = = = and { n,..., n} the asscated tax-cmpettn equlbum E : t,..., t,, ( x, y,, ) =, whee = x, y,, t satsfes (0) f all. The allcatn ( ) =,..., n x, y,, f the tax-cmpettn equlbum devates fm the n-tax tade allcatn ( ) =,..., n as shwn n Table 2. 6

18 sgn sgn L ρ sgn ( t + ) ( ) y y x x N. > t + < ) L ρ < 0 t + > L ρ > 0 t + > ? - 0 L ρ t + = = 0 L ρ = t = < L 0 ρ > ) : = L ρ < 0 t + < t + > ? + t + < ? - Table 2: Tanstn fm tade wthut taxatn t tax cmpettn Table 2 calls f sme cmments. The vey fst clumn lsts the pssble cnstellatns f the espectve equlbum nteest ates analgus t the tp w n Table. As n Table, each f the Cases - 8 f Table 2 s chaactezed by the sgn f L ρ (secnd clumn) but a new attbute s the sgn f t + (thd clumn). The meanng and le f the tem t + s made pecse n the pf f Ppstn 7 n the Appendx. Thee we shw that f the nteest ate f the n-tax tade equlbum pevals (athe than the nteest ate f the taxcmpettn equlbum) and f all gvenments chse tax-cmpettn equlbum s attaned. 6 t +, then the allcatn f the It s nfmatve t cmbne the esults f Table 2 wth the nfmatn pvded n Ppstn 5. Recall fm () that L ρ < 0 hlds, n patcula but nt nly, f Cbb-Duglas functns and CES functns satsfyng σ < c. Yet f the technlgy s Cbb-Duglas, the Cases and 2 apply nly f the Cbb-Duglas functns dffe acss cuntes. Othewse Case 4 apples. Case 5 epesents a nfe-edge case cespndng t the Cases 3 and 5 f Table whch happens t ccu when all pductn functns ae when all pductn functns ae 6 Cnsde f example the cnstellatn > ( = 0 > ) and L ρ < 0 n Table 2. Owng t L ρ < 0 we have t 0 such that may tae n ethe sgn geneatng ne f the Cases, 2 4. < t + 7

19 CES wth σ = c. The ppetes f pductn functns leadng t the Cases 6, 7 and 8 n Table 2 can be ndentfed n analgy t the ppetes n the Cases, 2 and 3. Nte fnally that f > and L 0 ρ > (Case 3), t + < 0 s nt a feasble utcme. If < and L 0 ρ < (Case 6), t + > 0 s nt a feasble utcme ethe. A necessay cndtn f the Cases 3 and 6 t ccu s that thee ae technlges exhbtng Y > 0 f sme cuntes and Y < 0 f thes. In thse specal tax-cmpettn equlba n whch the tax ates t,..., tn ae unfm acss cuntes (Case 4 and tvally Case 5 f Table 2) 7 the allcatns f the tax-cmpettn equlbum E and the n-tax tade equlbum. Tax cmpettn then has n allcatve mpact at all. E cncde as a cnsequence f Ppstn Cnsde next the tax ncdence n the plausble case f tax cmpettn whee tax ates dffe acss cuntes. Fcusng n emplyment we bseve, athe unexpectedly, that vaatns n emplyment ae clea n sgn unde all cndtns: Unless tax ates ae unfm (see abve) emplyment ethe mpves shns. F ethe sgn f the dffeence emplyment declnes [nceases] f ( ) 0 [ t ( t + ) > 0 t t + < ]. The cnstellatn t < 0 and ( t ) 0 + > vce vesa ccus unde tw cndtns: () t and must exhbt ppste sgns and () t must be suffcently clse t ze. Whle all sgns f changes n fact nputs and ncme ae clea, the changes n the level f utput ae ambguus n the Cases 3, 7 and 8 whee sgn ( ) ( ) s negatve. The stng esult f Ppstn 7 s that cuntes may lse fm tax cmpettn f the scena f tade wthut taxatn s taen as the baselne. Unde the cndtns specfed n Ppstn 7 cunty may suffe a welfae lss and such a lss can ccu unde vaus assumptns. Cunty 's technlgy may satsfy Y > 0 (Cases 2 and 6) Y < (Cases 3 and 8) the cnstellatn > (Cases 2 and 3) 0 < (Cases 6 and 8) may be gven. T see the dvng fce f the welfae lss, cnsde Case 2 n Table 2 as an example. t + wll be pstve, f cunty 's tax ate t s negatve but elatvely small n abslute value (see 7 Case 4 apples, e.g., when all cuntes pduce wth dentcal Cbb-Duglas functns when all cuntes pduce wth dentcal CES functns and the gd wage ates ae dentcal. See u cmments n Ppstn 5. 8

20 the pf f Ppstn 7) 8. Hence n tax-cmpettn equlbum we fnd that ( +, ) = L ( + t +, w ) < L ( w ) L t w, because L ρ < 0 s pesuppsed n Case 2, and ( +, ) = ( + +, ) < ( ) K t w K t w K, w because K ρ < 0. The staghtfwad mplcatn s that the utput shns ( y ). On the the hand, snce < y <, cunty 's value f expts ses the cst f ts mpts declnes. Hweve that patal ncme ncease s smalle than the lss fm educed pductn because the pe unt cst f captal as an nput, + t +, s hghe than, the pe unt evenue fm nceased captal expts fm educed captal mpts. 5 Fm autay t tax cmpettn Ppstn 3 scutnzed the shft fm autay t the n-tax tade equlbum and Ppstn 7 analyzed the allcatve mpact f mvng fm the n-tax tade equlbum t the taxcmpettn equlbum. It s theefe necessay cmbnng bth steps n an efft t answe the questn what the allcatve cnsequences ae f ndvdual cuntes f mvng fm autay t tax cmpettn. As f ncme changes, clse nspectn f the Tables and 2 eveals that the sgn f thse changes s unclea n seveal cases. Obvusly, snce the sgn f the dffeence x xa s unclea n the Cases and 6 f Table, the net welfae change fm autay t tax cmpettn s bund t be ambguus. Hweve, even f the patal welfae effects n the Tables and 2 ae clea n sgn, the net effect s als ambguus, wheneve the patal effects exhbt ppste sgns. Althugh t s nt pssble t fully explt the cmplex nfmatn pesented n the Ppstns 3 and 7, we estct u attentn t changes n unemplyment and welfae and select sme specfc cases n Ppstn 8 (Lsses fm autay t tax cmpettn). Cnsde the tanstn f the n-cunty ecnmy fm autay t tax cmpettn. () Cunty suffes a welfae lss, f all cuntes use dentcal Cbb-Duglas pductn functns, (7), and f > ω hlds. 8 F example, f all pductn functns ae Cbb-Duglas and dffe acss cuntes wth espect t the paamete β, we cnclude fm > 0 (whch s pesuppsed n Case 2) and t = β < 0 fm equatn () that t = t + = β + > 0, f β, β,..., β. 2 n β s a suffcently small cmpnent n ( ) 9

21 () Cunty suffes a welfae lss, f the pductn functns satsfy Y > 0 f all (as e.g. n case f Cbb-Duglas CES wth σ < c ), f a = and f t s small enugh n abslute value elatve t the the cuntes' ptmal tax ates. () Cunty suffes a welfae lss, f a (mplyng > > ), f ts pductn functn σ > c + w + q w, and s CES satsfyng ( )( )/ - ethe f Y < 0 f all and t s small enugh elatve t the the cuntes' ptmal tax ates, - f all cuntes use the same CES pductn functn as cunty and wage ates ae the same acss cuntes. (v) In all scenas f the Ppstns 8, 8 and 8 cunty suffes fm nceasng unemplyment n the tanstn fm autay t tax cmpettn. The pncpal message f Ppstn 8 s that captal maet lbealzatn wth tax cmpettn can lead t sng unemplyment and welfae lsses unde vaus cndtns. Welfae lsses can be deved by cmbnng n vaus ways the cuntes' fundamentals,.e. the wage ates, captal endwments and pductn technlges. It s cnceded that all cases pesented n Ppstn 8 mae use f cndtns that ae me less estctve. Yet all these cndtns ae suffcent but nt necessay. In u vew, t s theefe safe t cnectue that lsses fm tax cmpettn ae nt an elusve phenmenn. Tae f example Ppstn 8. Its ange and elevance - s cetanly lmted because the cndtn a = s vey specal, f t s fulflled at all f any cunty. Hweve, a welfae lss wll als ccu f the cndtn f Ppstn 8 s eplaced by a = a enugh. When the cndtn as lng as f the dffeence a s small (Case 4 f Table ) s weaened n ths nn-gus way, welfae lsses can als be dentfed n the Cases 3, 6 and 8 f Table 2. Meve, n all cases f unfm ptmal tax ates whch we dentfed n u emas n equatn () sme cuntes lse when mvng fm autay t tax cmpettn, f and nly f they lse n the tanstn fm autay t tade wthut taxatn. a = 7 Cncludng emas We have shwn that unemplyment maedly changes the mpact f captal maet lbealzatn and captal-tax cmpettn amng hetegeneus cuntes as cmpaed t the case f 20

22 pefectly cmpettve lab maets. Wth autay as the efeence scena, the ntductn f ntenatnal captal mblty and tax cmpettn tuned ut t have the ptental f educng the welfae and/ f exacebatng unemplyment n sme cuntes. Hence such cuntes wll nt be n fav f captal maet lbealzatn unless they succeed n emvng wage gdty. Snce we allwed cuntes t dffe wth espect t captal endwments, gd wage ates and pductn technlges, thee s a geat vaety f utcmes and welfae changes whch can hadly be chaactezed cmpletely. Nnetheless, we dentfed a numbe f specfc cases whee cuntes suffe hghe unemplyment and a welfae lss dung the tanstn fm autay t tax cmpettn and taced the easns f that utcme. As culd be expected, less geneal assumptns n pductn functns yelded me nfmatve esults. F example, n case f Cbb-Duglas technlgy we wee able t fully chaacteze the allcatve dsplacement effects. We shwed that n the tanstn fm autay t tax cmpettn cuntes fae the bette, cetes pabus, the geate s the captal endwment the lwe s the gd wage ate. The gd-wage assumptn s a vey smple and case way t mdel unemplyment gven the geat vaety f sphstcated and cmplex thees f nn-cmpettve wage fmatn develped n lab ecnmcs (Ncel 990). One small step n elaxng that assumptn n futue eseach w wuld be t etan dwnwad gdty but allw f upwad flexble wages. Me cmplex and aguably me ealstc lab maet thees have aleady been emplyed n sme studes f captal-tax cmpettn wth lab-maets mpefectns sme f whch we have efeenced n the Intductn. Hweve, as we pnted ut, nne f these studes tacles unemplyment and hetegeneus cuntes. The tade-ff between ealstc cmplexty n mdelng, tactablty and nfmatve nsghts appeas t necesstate and waant cmpmses. Refeences Al, M., Lete-Mnte, M., and Llyd-Baga, T. (2009), "Unnzed lab maets and glbalzed captal maets", Junal f Intenatnal Ecnmcs 78, Anssn, T., and Wehe, S. (2008), "Publc gds, unemplyment and plcy cdnatn", Regnal Scence and Uban Ecnmcs 38, Begstöm, V., and Panas, E. E. (992), "Hw bust s the captal-sll cmplementaty hypthess?", The Revew f Ecnmcs and Statstcs 74,

23 Bucvetsy, S. (99), "Asymmetc tax cmpettn", Junal f Uban Ecnmcs 30, 7-8 DePate, J. A., and Myes, G. M. (994), "Stategc captal tax cmpettn: A pecunay extenalty and a cectve devce", Junal f Uban ecnmcs 36, Duffy, J., Papagegu, C. and Peez-Sebastan, F. (2004), "Captal-sll cmplementaty? Evdence fm a panel f cuntes", The Revew f Ecnmcs and Statstcs 86, Eatn, J., and Panagaya, A. (979), "Gans fm tade unde vaable etuns t scale, cmmdty taxatn, taffs and fact maet dsttns", Junal f Intenatnal Ecnmcs 9, Egget, W., and Gee, L. (2004), "Fscal plcy, ecnmc ntegatn and unemplyment", Junal f Ecnmcs 82, Fuest, C., and Hube, B. (999), "Tax cdnatn and unemplyment", Intenatnal Tax and Publc Fnance 6, 7-26 Glches, Z. (969), "Captal-sll cmplementaty", The Revew f Ecnmcs and Statstcs 5, Kemp, M., and Negsh, T. (970), "Vaable etuns t scale, cmmdty taxes, fact maet dsttns and the mplcatns f tade gans", The Swedsh Junal f Ecnmcs 72, - Kessle, A.S., Lülfesmann, C., and Myes, G. M. (2003), "Ecnmc vesus pltcal symmety and the welfae cncen wth maet ntegatn and tax cmpettn", Junal f Publc Ecnmcs 87, Lete-Mnte, M., Machand, M., and Pesteau, P. (2003), "Emplyment subsdy wth captal mblty", Junal f Publc Ecnmc They 5, Lcwd, B., and Mas, M. (2006), "Tax ncdence, maty vtng and captal maet ntegatn", Junal f Publc Ecnmcs 90, Ncell, S. (990), "Unemplyment: A suvey", Ecnmc Junal 00, Ogawa, H., Sat, Y., and Tama, T. (2006), "A nte n unemplyment and captal tax cmpettn", Junal f Uban Ecnmcs 60,

24 Pealta, S., and van Ypesele, T. (2005), "Fact endwments and welfae levels n an asymmetc tax cmpettn game", Junal f Uban Ecnmcs 57, Sat, Y., and Thsse, J.-F. (2007), "Cmpetng f captal when lab s hetegeneus", Eupean Ecnmc Revew 5, Wlsn, J. D. (986), "A they f nteegnal tax cmpettn", Junal f Uban Ecnmcs 9, Wlsn, J. D. (99), "Tax cmpettn wth nteegnal dffeences n fact endwments", Regnal Scence and Uban Ecnmcs 2, Zdw, G. R., and Meszws, P. (986), "Pgu, Tebut, ppety taxatn, and the undepvsn f lcal publc gds", Junal f Uban Ecnmcs 9, Appendx Pf f Ppstn. In the tax-cmpettn equlbum { n ( ),..., n} = ) E : = t,..., t,, x, y,, the captal maet s n equlbum, by pesuppstn: = K ( + t, : = θ w. Cnsde ], [ θ and defne t : = t + f all and θ. Then we bvusly have = K ( t, w) K ( t, w) + = + Pf f Ppstn 2. Unde cndtns f pefect cmpettn the elastcty f substtutn eads σ = dq w / q d w /, whee : q =. Reaange ths equatn t btan σ wˆ σ ˆ = ˆq. ( ) Futheme, cnsde σ wˆ ˆ ˆ ( ) qˆ = as well as ˆ cw + q c q = σ wˆ σ ˆ w + q w + q σ ˆ = ˆq t btan afte sme eaangements f tems. n ˆ ( σ c ) w + q ˆ w = + σ w + cq σ w + cq w ˆ, whee ˆ = ˆa ( ) c : = / b >. If we set = and hence fllws. That pves Ppstn 2. ˆ = ˆ n that equatn, and = a 23

25 Pf f Ppstn 3. Ppstn 3: Dente by x and x a the natnal ncmes when the nteest ate s and, espectvely. Obvusly, that mples a x xa = f = a, and f dx / d s mntne n we ae able t detemne the sgn f the dffeence x xa. Dffeentatn f x wth espect t yelds dx ( wl d = ) (A) and dx d wl = =. Suppse that > a and 0. Then a L > ( ) ( a ) = K,w < K,w = dx and theefe 0 d >, pvng x > xa f the case 2 n Table. Alng the same lnes we shw that x > xa n the cases 3 and 7 and x < xa n case 5 n Table. In the cases and 6 the sgn f dx / d s unclea. Ppstn 3: (a) We fst bseve that the tem y tuns nt y = q = b α ( ) q when the pductn functn s Cbb-Duglas. Inteest ates may dffe acss cuntes n autay but they ae unfm n the asscated ze-tax equlbum. We als nw that b α b α q = q b α b = q =, because α q α = s the fst- α de cndtn f pft maxmzatn. Hence Fm ths nfmatn the equatns (, ) Y αγ b α y = =, whee γ : =. α αγ α = and a Y (, a ) a = (A2) fllw, whee the ndexes a and efe t the autay equlbum and the ze-tax equlbum, espectvely. We wte the dffeence n ncme f cunty autay t fee-tade as and cnsde (A2) t btan a ( αγ ) + αγ fllwng a swtch fm (, ) (, ) ( ) x = x x = Y Y a a a a αγ ( αγ ) αγ ( ) ( αγ ) ( ) x x a = a + + αγ ( ) = ( αγ ) = + +. (A3) 24

26 a (b) Next we detemne the vaables, and f the Cbb-Duglas pductn functn. The fst-de cndtns f pft maxmzatn β = yeldng αw α β = α l and w α β β l = mply β β β β c α β w = 0, whee c : =. (A4) b In autay, we have a = such that (A4) s tuned nt β β β β ( β ) c = w. (A5) αβ a In case f fee tade we cnvet (A4) nt ( β) c βc ( β) c βc = w. Inve the equlbum α β cndtn n the wld captal maet, = ( ) c βc ( ) α, equvalently, β β c βc β w, t btan = = c ( ) c ( ) β c c w β β β : = = α β and n n β β β α β βc c w c = n β β β c w ( ) c β ( β ) c = αβ (A6) n T detemne tems, we cmbne (A4) and (A6) whch yelds, afte sme eaangement f β c nw = ω, whee ω : =. (A7) β c w (c) Inve fm (A5) and fm (A6) cmbned wth (A7) and bseve that a β β β β > β β < a ( ) ( ) ( β c ) c β > β β αβ w ω αβ w < ω <. (A8) > (d) We nw nset (A5), (A6) and (A7) n (A3): αγ = [ ] x c c ω κ ω κ β β ( + αγ ) αβ ( β) ( β) + β ( β ) c β w 25

27 = ( β) c ( β) c δ ω + αγ ( + αγ ) a, (A9) whee β β αβ δ : = and ω β ( β ) c β w κ : =. Fm (A9) t s staghtfwad that x 0, f = ω = κ ω =. T specfy hw αγ x espnds t changes n cnsde the devatves f (A9) ( αγ ) d x d = αδ ( β ) c ω β b α (A0) ( ) ( β ) 2 αγ 2 αδ c β = ω d ( β ) c α α. (A) d x b These devatves mply ( αγ ) d x > > b 0 ω < < d α and 2 ( αγ ) d x > β b 0 2 > ω < + <. d α α ( αγ ) d x d b = 0 s attaned f = α ω b and nsetng = α ω n (A) yelds d ( x ) ( β ) 2 2 c 2 2 αγ αδ β = > 0 d ( β ) c α. Hence αγ x attans ts unque mnmum at b = <. We have shwn abve that x = 0, f =. F ths value f α ω ω ω (A0) tuns nt ( αγ ) d x d = αβ γ δ ( β ) c 0 > β. Theefe, at ts mnmum αγ x s negatve. Meve, snce < 0 f = 0 accdng t (A9), we cnclude that > 0 f x x 0, ω, = 0 f = ω and < 0 f ω, nω. x x d = > f all [, ] a Ppstn 3: In Case 6 wl ( ) 0 x < x. Snce CES mples L a dx = ( σ c ) w + q dx we fnd that 0 s suffcent f d > hlds, f f all [, ] a 26

28 σ w q > c + whee φ : = φ w + σ a w and q : = a σ. Snce s deceasng and φ s nceasng n, t fllws that [, ] a f all φ φ. That pves Ppstn 3. Pf f Ppstn 4. The stategy f pf s smla t that f Ppstn 3. Cunty 's a ncme s xa = y = α m β n autay and a α β ( ) ( ) x = y = m (A2) unde fee tade. In the latte case pft maxmzatn mples α β α m =. (A3) Cmbnng (A2) and (A3) yelds α β α β α β α α = + ( α ) x m m m α m β = + α α m β. Hence ( α) α α β α β α β a. x = x x = m + m m (A4) Next we shw that = m. Fm (A3) we have α = β αm. Invng = fm (5) yelds β α m α =, α α β α = m and n α α β ( ) ( α ) = α m α n. Inset fm the last equatn n α = β αm t btan = m. Use ths nfmatn t tun (A4) nt ( α) α α α β α α β α β x = m m + m m m. (A5) It s staghtfwad fm (A5) that x = 0 f = m. T specfy hw x espnds t changes n when s ept cnstant, cnsde the devatves f (A5), d x d ( ) 2 β α α α d x = αm m and ( ) 2 2 = β α α α m. d 27

29 Snce the fst devatve mples d x d 0 m and > > < < 2 d x > 0, x fm (A5) d attans ts unque mnmum at = m. Pf f Ppstn 5. Equatn (0) s staghtfwad fm the fst-de cndtn f maxmzng (4) wth espect t t : X YK YL K t = ρ + l ρ = ( ) ρ ρ ρ K + wl ρ = tk ρ ρ + wl = 0. () fllws fm cmbnng the equatn (0) wth (6) and (7) and the petanng fact demand functns. Pf f Ppstn 6. Suppse that L ρ < 0 and hence t < 0. Statng fm 0, successve eductns f that L ρ > 0 t and hence decease t ρ = + and theefe ncease L ( t, w) t = +. Suppse next t > 0. Statng fm t = 0 successve nceases n ncease ρ = + t and theefe als ncease L ( t, w) +. Pf f Ppstn 7. The pf pceeds n seveal steps. Fst we pve the Clam: Asscated wth the equlbum E s an 'auxlay' cnstant-tax tade equlbum 9 { n ( ) =,..., n} E : = t,..., t,, x, y,, wth the fllwng ppetes: x, y,, (a) ( ) = ( ), =,..., n x, y,, ( t t ) = ( t + t + ) =,..., n,..., n t,..., n, = and hence = =.,..., n n E cntans pstve and negatve tax ates, f the tax ates t,..., t n (b) ( t t ) n E dffe acss cuntes; thewse t =... = t n = 0. The exstence f the cnstant-tax tade equlbum E : = t,..., t n,, ( x, y,, ) { =,..., n} as defned n pat (a) f the Clam fllws mmedately fm Ppstn. Nte that (5) mples = K (, w ) = K ( t, w ) + = K ( t, w ) + + = K ( + t, w ). Pat (b) f the Clam pstulates that f tax ates t,..., tn dffe acss 9 E pvdes the nfmatn abut the tax ates needed f shftng fm the n-tax tade equlbum allcatn t the tax-cmpettn equlbum allcatn whle eepng unchanged the nteest ate pevalng n the ntax tade equlbum. 28

30 cuntes, the tax ates t,..., t need t cntan negatve and pstve cmpnents. Suppse n nt. Then sgn t mn = sgn t max wth t mn 0 and t max ae the mnmum and maxmum cmpnents f ( t t ) K (, w ) (, t max 0, whee t mn,..., n, espectvely. That bvusly mples = K + t w ) cntadctng the fact that E s an equlbum. If the tax ates t,..., tn ae unfm acss cuntes, the (asscated) tax ates t,..., t n ae als unfm because by defntn f t t s tue that t : = + t f all and satsfy t =... = t n = 0 by cnstuctn f E. Ths cmpletes the pf f the Clam. Wth ths nfmatn we pceed t establsh Ppstn 7. We fst fcus n the change n emplyment nduced by mvng fm E t E by pvng the equvalence ( t t ) > < 0 L ( + t, w) = L ( + t, w) > < (, ) L w. Cnsde the case that ( ) ( t 0 and t 0. We nw that t 0 L ρ 0 and theefe L + t, w L, w ). Smlaly, f t 0 and t 0, we have t 0 L 0 and theefe ( ) ( L + t, w L, w shw that ( t t ) 0 L ( + t, w ) L (, w ) The sgn f the dffeence equal t the sgn f ( t Kρ ) ) as well. Based n ths nfmatn t s staghtfwad t., snce K ρ < 0. (secnd clumn f Table 2) s easly calculated as beng It emans t pve the sgns n the last clumn f Table 2. Set ρ = + and dffeentate x = y + wth espect t t : t ρ dx dt = YK + YL K = t K + wl = t + K wl ρ ρ ρ ρ ρ ρ ρ K ρ. (A6) dx Fm t 0 dt = = wl dx fllws sgn t 0 sgn L = dt = and f dx / dt s mntne n we ae t able t detemne the sgn f the dffeence x x. Cmbne / wl ρ + t = + t ( ) t btan ( ) ( ) ( ) wl ρ wl ρ + t, w wl ρ + t, w = = K K + t, w K + t, w ρ ρ ρ K ρ fm (A6) wth = t and hence 29

31 dx dt ( ) ( ) ρ ρ = t t K = K We cnclude fm (A7) that x > x <. (A7) > and t < 0 (Case ) < and t > 0 (Case 7) > and t > 0 (Cases 2 and 3) < and t < 0 (Cases 6 and 8). The Case 4 n Table 2 s bvus. Pf f Ppstn 8. Ppstn 8 fllws fm cmbnng Case f Table wth Case 4 f Table 2 and Ppstn 3. Ppstn 8 fllws fm cmbnng Case 4 f Table wth Case 2 f Table 2. The fst pat f Ppstn 8 fllws fm cmbnng Case 6 f Table wth Case 8 f Table 2 and Ppstn 3. The secnd pat f Ppstn 8 fllws fm cmbnng Case 6 f Table wth Case 4 f Table 2 and Ppstn 3. ( w ) Pf f the clam: + βc βc n > 0 βc > w > w. w We eaange the nequalty w w > < 0 and btan w w > < 0 βc w βc w > n < n βc w < βc w n > n βc ( w ) w βc < > n + βc ( ) βc + w βc < βc w > n. (A8) Wth w > 0 f =,, n the nequalty (A8) pfs the clam. 30

32 CESf Wng Pape Sees f full lst see Twww.cesf-gup.g/wpT (addess: Pschngest. 5, 8679 Munch, Gemany, ffce@cesf.de) 2733 Fancesc Cnnella and Jachm Wnte, Sze Mattes! Bdy Heght and Lab Maet Dscmnatn: A Css-Eupean Analyss, July Samuel Bwles and Sanda Planía Reyes, Ecnmc Incentves and Scal Pefeences: A Pefeence-based Lucas Ctque f Publc Plcy, July Gay Butless, Lessns f the Fnancal Css f the Desgn f Natnal Pensn Systems, July Helmuth Ceme, Fuz Gahva and Pee Pesteau, Fetlty, Human Captal Accumulatn, and the Pensn System, July Hans Jale Knd and Fan Stähle, Maet Shaes n Tw-Sded Meda Industes, July Pamela Campa, Alessanda Casac and Pala Pfeta, Gende Cultue and Gende Gap n Emplyment, August Sebastan Gechet, Supplementay Pvate Health Insuance n Selected Cuntes: Lessns f EU Gvenments?, August Lef Danzge, Endgenus Mnpsny and the Pevese Effect f the Mnmum Wage n Small Fms, August Yan Dng and Jhn Whalley, A Thd Beneft f Jnt Nn-OPEC Cabn Taxes: Tansfeng OPEC Mnply Rent, August Valentna Bsett, Cal Caa and Massm Tavn, Clmate Change Mtgatn Stateges n Fast-Gwng Cuntes: The Benefts f Ealy Actn, August Chstna Felfe, The Wllngness t Pay f Jb Amentes: Evdence fm Mthes Retun t W, August Jög Fane, Chstan Kanzw, Wlfgang Lennge and Alexanda Väth, Efft Maxmzatn n Asymmetc N-Pesn Cntest Games, August Bun S. Fey and Pal Pamn, Mang Wld Hetage Tuly Glbal: The Cultue Cetfcate Scheme, August Fan N. Calend, Is Scal Secuty behnd the Cllapse f Pesnal Savng?, August Catena Lesegang and Mac Runel, Cpate Incme Taxatn f Multnatnals and Fscal Equalzatn, August 2009

Selective Convexity in Extended GDEA Model

Selective Convexity in Extended GDEA Model Appled Mathematcal Scences, Vl. 5, 20, n. 78, 386-3873 Selectve nvet n Etended GDEA Mdel Sevan Shaee a and Fahad Hssenadeh Ltf b a. Depatment f Mathematcs, ehan Nth Banch, Islamc Aad Unvest, ehan, Ian

More information

is needed and this can be established by multiplying A, obtained in step 3, by, resulting V = A x y =. = x, located in 1 st quadrant rotated about 2

is needed and this can be established by multiplying A, obtained in step 3, by, resulting V = A x y =. = x, located in 1 st quadrant rotated about 2 Ct Cllege f New Yk MATH (Calculus Ntes) Page 1 f 1 Essental Calculus, nd edtn (Stewat) Chapte 7 Sectn, and 6 auth: M. Pak Chapte 7 sectn : Vlume Suface f evlutn (Dsc methd) 1) Estalsh the tatn as and the

More information

Hotelling s Rule. Therefore arbitrage forces P(t) = P o e rt.

Hotelling s Rule. Therefore arbitrage forces P(t) = P o e rt. Htelling s Rule In what fllws I will use the tem pice t dente unit pfit. hat is, the nminal mney pice minus the aveage cst f pductin. We begin with cmpetitin. Suppse that a fim wns a small pa, a, f the

More information

Electric potential energy Electrostatic force does work on a particle : Potential energy (: i initial state f : final state):

Electric potential energy Electrostatic force does work on a particle : Potential energy (: i initial state f : final state): Electc ptental enegy Electstatc fce des wk n a patcle : v v v v W = F s = E s. Ptental enegy (: ntal state f : fnal state): Δ U = U U = W. f ΔU Electc ptental : Δ : ptental enegy pe unt chag e. J ( Jule)

More information

Module 9 Thin and thick cylinders

Module 9 Thin and thick cylinders Mdule 9 Thn and thck cylndes Vesn 2 ME, IIT Khaagu Lessn 3 Desgn ncles f thck cylndes Vesn 2 ME, IIT Khaagu Instuctnal Objectves: At the end f ths lessn, the students shuld have the knwledge f: Falue thees

More information

Introduction of Two Port Network Negative Feedback (Uni lateral Case) Feedback Topology Analysis of feedback applications

Introduction of Two Port Network Negative Feedback (Uni lateral Case) Feedback Topology Analysis of feedback applications Lectue Feedback mple ntductn w Pt Netwk Negatve Feedback Un lateal Case Feedback plg nalss eedback applcatns Clse Lp Gan nput/output esstances e:83h 3 Feedback w-pt Netwk z-paametes Open-Ccut mpedance

More information

If there are k binding constraints at x then re-label these constraints so that they are the first k constraints.

If there are k binding constraints at x then re-label these constraints so that they are the first k constraints. Mathematcal Foundatons -1- Constaned Optmzaton Constaned Optmzaton Ma{ f ( ) X} whee X {, h ( ), 1,, m} Necessay condtons fo to be a soluton to ths mamzaton poblem Mathematcally, f ag Ma{ f ( ) X}, then

More information

Lecture 2 Feedback Amplifier

Lecture 2 Feedback Amplifier Lectue Feedback mple ntductn w-pt Netwk Negatve Feedback Un-lateal Case Feedback plg nalss eedback applcatns Clse-Lp Gan nput/output esstances e:83hkn 3 Feedback mples w-pt Netwk z-paametes Open-Ccut mpedance

More information

Cost, revenue and profit efficiency measurement in DEA: A directional distance function approach

Cost, revenue and profit efficiency measurement in DEA: A directional distance function approach Cst, evenue and pft effcency measuement n DEA: A dectnal dstance functn appach Besh K. Sah a, Mahmd Mehdlzad b, Kau Tne c a Xave Insttute f Management, Bhubaneswa 75 03, Inda b Depatment f Mathematcs,

More information

Multistage Median Ranked Set Sampling for Estimating the Population Median

Multistage Median Ranked Set Sampling for Estimating the Population Median Jounal of Mathematcs and Statstcs 3 (: 58-64 007 ISSN 549-3644 007 Scence Publcatons Multstage Medan Ranked Set Samplng fo Estmatng the Populaton Medan Abdul Azz Jeman Ame Al-Oma and Kamaulzaman Ibahm

More information

LEAP FROG TECHNIQUE. Operational Simulation of LC Ladder Filters ECEN 622 (ESS) TAMU-AMSC

LEAP FROG TECHNIQUE. Operational Simulation of LC Ladder Filters ECEN 622 (ESS) TAMU-AMSC LEAP FOG TEHNQUE Opeatnal Smulatn f L Ladde Fltes L pttype lw senstvty One fm f ths technque s called Leapf Technque Fundamental Buldn Blcks ae - nteats - Secnd-de ealzatns Fltes cnsdeed - LP - BP - HP

More information

8 Baire Category Theorem and Uniform Boundedness

8 Baire Category Theorem and Uniform Boundedness 8 Bae Categoy Theoem and Unfom Boundedness Pncple 8.1 Bae s Categoy Theoem Valdty of many esults n analyss depends on the completeness popety. Ths popety addesses the nadequacy of the system of atonal

More information

CHAPTER GAUSS'S LAW

CHAPTER GAUSS'S LAW lutins--ch 14 (Gauss's Law CHAPTE 14 -- GAU' LAW 141 This pblem is ticky An electic field line that flws int, then ut f the cap (see Figue I pduces a negative flux when enteing and an equal psitive flux

More information

T-model: - + v o. v i. i o. v e. R i

T-model: - + v o. v i. i o. v e. R i T-mdel: e gm - V Rc e e e gme R R R 23 e e e gme R R The s/c tanscnductance: G m e m g gm e 0 The nput esstance: R e e e e The utput esstance: R R 0 /c unladed ltage gan, R a g R m e gmr e 0 m e g me e/e

More information

Section 3: Detailed Solutions of Word Problems Unit 1: Solving Word Problems by Modeling with Formulas

Section 3: Detailed Solutions of Word Problems Unit 1: Solving Word Problems by Modeling with Formulas Sectn : Detaled Slutns f Wrd Prblems Unt : Slvng Wrd Prblems by Mdelng wth Frmulas Example : The factry nvce fr a mnvan shws that the dealer pad $,5 fr the vehcle. If the stcker prce f the van s $5,, hw

More information

ME 3600 Control Systems Frequency Domain Analysis

ME 3600 Control Systems Frequency Domain Analysis ME 3600 Cntl Systems Fequency Dmain Analysis The fequency espnse f a system is defined as the steady-state espnse f the system t a sinusidal (hamnic) input. F linea systems, the esulting utput is itself

More information

OBJECTIVE To investigate the parallel connection of R, L, and C. 1 Electricity & Electronics Constructor EEC470

OBJECTIVE To investigate the parallel connection of R, L, and C. 1 Electricity & Electronics Constructor EEC470 Assignment 7 Paallel Resnance OBJECTIVE T investigate the paallel cnnectin f R,, and C. EQUIPMENT REQUIRED Qty Appaatus 1 Electicity & Electnics Cnstuct EEC470 1 Basic Electicity and Electnics Kit EEC471-1

More information

Wp/Lmin. Wn/Lmin 2.5V

Wp/Lmin. Wn/Lmin 2.5V UNIVERITY OF CALIFORNIA Cllege f Engneerng Department f Electrcal Engneerng and Cmputer cences Andre Vladmrescu Hmewrk #7 EEC Due Frday, Aprl 8 th, pm @ 0 Cry Prblem #.5V Wp/Lmn 0.0V Wp/Lmn n ut Wn/Lmn.5V

More information

P 365. r r r )...(1 365

P 365. r r r )...(1 365 SCIENCE WORLD JOURNAL VOL (NO4) 008 www.scecncewoldounal.og ISSN 597-64 SHORT COMMUNICATION ANALYSING THE APPROXIMATION MODEL TO BIRTHDAY PROBLEM *CHOJI, D.N. & DEME, A.C. Depatment of Mathematcs Unvesty

More information

WYSE Academic Challenge Sectional Mathematics 2006 Solution Set

WYSE Academic Challenge Sectional Mathematics 2006 Solution Set WYSE Academic Challenge Sectinal 006 Slutin Set. Cect answe: e. mph is 76 feet pe minute, and 4 mph is 35 feet pe minute. The tip up the hill takes 600/76, 3.4 minutes, and the tip dwn takes 600/35,.70

More information

V. Principles of Irreversible Thermodynamics. s = S - S 0 (7.3) s = = - g i, k. "Flux": = da i. "Force": = -Â g a ik k = X i. Â J i X i (7.

V. Principles of Irreversible Thermodynamics. s = S - S 0 (7.3) s = = - g i, k. Flux: = da i. Force: = -Â g a ik k = X i. Â J i X i (7. Themodynamcs and Knetcs of Solds 71 V. Pncples of Ievesble Themodynamcs 5. Onsage s Teatment s = S - S 0 = s( a 1, a 2,...) a n = A g - A n (7.6) Equlbum themodynamcs detemnes the paametes of an equlbum

More information

Work, Energy, and Power. AP Physics C

Work, Energy, and Power. AP Physics C k, Eneg, and Pwe AP Phsics C Thee ae man diffeent TYPES f Eneg. Eneg is expessed in JOULES (J) 4.19 J = 1 calie Eneg can be expessed me specificall b using the tem ORK() k = The Scala Dt Pduct between

More information

Consider the simple circuit of Figure 1 in which a load impedance of r is connected to a voltage source. The no load voltage of r

Consider the simple circuit of Figure 1 in which a load impedance of r is connected to a voltage source. The no load voltage of r 1 Intductin t Pe Unit Calculatins Cnside the simple cicuit f Figue 1 in which a lad impedance f L 60 + j70 Ω 9. 49 Ω is cnnected t a vltage suce. The n lad vltage f the suce is E 1000 0. The intenal esistance

More information

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M

Integral Vector Operations and Related Theorems Applications in Mechanics and E&M Dola Bagayoko (0) Integal Vecto Opeatons and elated Theoems Applcatons n Mechancs and E&M Ι Basc Defnton Please efe to you calculus evewed below. Ι, ΙΙ, andιιι notes and textbooks fo detals on the concepts

More information

A New Method for Solving Integer Linear. Programming Problems with Fuzzy Variables

A New Method for Solving Integer Linear. Programming Problems with Fuzzy Variables Appled Mathematcal Scences, Vl. 4, 00, n. 0, 997-004 A New Methd fr Slvng Integer Lnear Prgrammng Prblems wth Fuzzy Varables P. Pandan and M. Jayalakshm Department f Mathematcs, Schl f Advanced Scences,

More information

Active Load. Reading S&S (5ed): Sec. 7.2 S&S (6ed): Sec. 8.2

Active Load. Reading S&S (5ed): Sec. 7.2 S&S (6ed): Sec. 8.2 cte La ean S&S (5e: Sec. 7. S&S (6e: Sec. 8. In nteate ccuts, t s ffcult t fabcate essts. Instea, aplfe cnfuatns typcally use acte las (.e. las ae w acte eces. Ths can be ne usn a cuent suce cnfuatn,.e.

More information

Summary chapter 4. Electric field s can distort charge distributions in atoms and molecules by stretching and rotating:

Summary chapter 4. Electric field s can distort charge distributions in atoms and molecules by stretching and rotating: Summa chapte 4. In chapte 4 dielectics ae discussed. In thse mateials the electns ae nded t the atms mlecules and cannt am fee thugh the mateial: the electns in insulats ae n a tight leash and all the

More information

Generating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences

Generating Functions, Weighted and Non-Weighted Sums for Powers of Second-Order Recurrence Sequences Geneatng Functons, Weghted and Non-Weghted Sums fo Powes of Second-Ode Recuence Sequences Pantelmon Stăncă Aubun Unvesty Montgomey, Depatment of Mathematcs Montgomey, AL 3614-403, USA e-mal: stanca@studel.aum.edu

More information

Shell Stiffness for Diffe ent Modes

Shell Stiffness for Diffe ent Modes Engneerng Mem N 28 February 0 979 SUGGESTONS FOR THE DEFORMABLE SUBREFLECTOR Sebastan vn Herner Observatns wth the present expermental versn (Engneerng Dv nternal Reprt 09 July 978) have shwn that a defrmable

More information

Set of square-integrable function 2 L : function space F

Set of square-integrable function 2 L : function space F Set of squae-ntegable functon L : functon space F Motvaton: In ou pevous dscussons we have seen that fo fee patcles wave equatons (Helmholt o Schödnge) can be expessed n tems of egenvalue equatons. H E,

More information

Feedback Principle :-

Feedback Principle :- Feedback Prncple : Feedback amplfer s that n whch a part f the utput f the basc amplfer s returned back t the nput termnal and mxed up wth the nternal nput sgnal. The sub netwrks f feedback amplfer are:

More information

CHAPTER 24 GAUSS LAW

CHAPTER 24 GAUSS LAW CHAPTR 4 GAUSS LAW LCTRIC FLUX lectic flux is a measue f the numbe f electic filed lines penetating sme suface in a diectin pependicula t that suface. Φ = A = A csθ with θ is the angle between the and

More information

Circuits Op-Amp. Interaction of Circuit Elements. Quick Check How does closing the switch affect V o and I o?

Circuits Op-Amp. Interaction of Circuit Elements. Quick Check How does closing the switch affect V o and I o? Crcuts Op-Amp ENGG1015 1 st Semester, 01 Interactn f Crcut Elements Crcut desgn s cmplcated by nteractns amng the elements. Addng an element changes vltages & currents thrughut crcut. Example: clsng a

More information

Announcements Candidates Visiting Next Monday 11 12:20 Class 4pm Research Talk Opportunity to learn a little about what physicists do

Announcements Candidates Visiting Next Monday 11 12:20 Class 4pm Research Talk Opportunity to learn a little about what physicists do Wed., /11 Thus., /1 Fi., /13 Mn., /16 Tues., /17 Wed., /18 Thus., /19 Fi., / 17.7-9 Magnetic Field F Distibutins Lab 5: Bit-Savat B fields f mving chages (n quiz) 17.1-11 Pemanent Magnets 18.1-3 Mic. View

More information

14 The Boole/Stone algebra of sets

14 The Boole/Stone algebra of sets 14 The Ble/Stne algebra f sets 14.1. Lattces and Blean algebras. Gven a set A, the subsets f A admt the fllwng smple and famlar peratns n them: (ntersectn), (unn) and - (cmplementatn). If X, Y A, then

More information

5.1 Moment of a Force Scalar Formation

5.1 Moment of a Force Scalar Formation Outline ment f a Cuple Equivalent System Resultants f a Fce and Cuple System ment f a fce abut a pint axis a measue f the tendency f the fce t cause a bdy t tate abut the pint axis Case 1 Cnside hizntal

More information

A) (0.46 î ) N B) (0.17 î ) N

A) (0.46 î ) N B) (0.17 î ) N Phys10 Secnd Maj-14 Ze Vesin Cdinat: xyz Thusday, Apil 3, 015 Page: 1 Q1. Thee chages, 1 = =.0 μc and Q = 4.0 μc, ae fixed in thei places as shwn in Figue 1. Find the net electstatic fce n Q due t 1 and.

More information

Scalars and Vectors Scalar

Scalars and Vectors Scalar Scalas and ectos Scala A phscal quantt that s completel chaacteed b a eal numbe (o b ts numecal value) s called a scala. In othe wods a scala possesses onl a magntude. Mass denst volume tempeatue tme eneg

More information

Optimization of the Electron Gun with a Permanent Ion Trap

Optimization of the Electron Gun with a Permanent Ion Trap 4.3.-178 Optmzatn f the Electn Gun wth a Pemanent In Tap We Le Xabng Zhang Jn Dng Fe Dpla Technlg R&D CenteSutheat Unvet Nangjng Chna Danel den Engelen Pduct and Pce Develpment(PPD)LG.Phlp Dpla 5600 MD

More information

ME311 Machine Design

ME311 Machine Design ME311 Machne Desgn Lectue 8: Cylnes W Dnfel Nv017 Fafel Unvesty Schl f Engneeng Thn-Walle Cylnes (Yu aleay cvee ths n Bee & Jhnstn.) A essuze cylne s cnsee t be Thn-Walle f ts wall thckness s less than.5%

More information

hitt Phy2049: Magnetism 6/10/2011 Magnetic Field Units Force Between Two Parallel Currents Force Between Two Anti-Parallel Currents

hitt Phy2049: Magnetism 6/10/2011 Magnetic Field Units Force Between Two Parallel Currents Force Between Two Anti-Parallel Currents 6/0/0 Phy049: Magsm Last lectue: t-avat s and Ampee s law: Magc eld due t a staght we Cuent lps (whle bts)and slends Tday: emnde and aaday s law. htt Tw lng staght wes pece the plane f the pape at vetces

More information

A Note on Equivalences in Measuring Returns to Scale

A Note on Equivalences in Measuring Returns to Scale Internatnal Jurnal f Busness and Ecnmcs, 2013, Vl. 12, N. 1, 85-89 A Nte n Equvalences n Measurng Returns t Scale Valentn Zelenuk Schl f Ecnmcs and Centre fr Effcenc and Prductvt Analss, The Unverst f

More information

Design of Analog Integrated Circuits

Design of Analog Integrated Circuits Desgn f Analg Integrated Crcuts I. Amplfers Desgn f Analg Integrated Crcuts Fall 2012, Dr. Guxng Wang 1 Oerew Basc MOS amplfer structures Cmmn-Surce Amplfer Surce Fllwer Cmmn-Gate Amplfer Desgn f Analg

More information

Chapter 23: Electric Potential

Chapter 23: Electric Potential Chapte 23: Electc Potental Electc Potental Enegy It tuns out (won t show ths) that the tostatc foce, qq 1 2 F ˆ = k, s consevatve. 2 Recall, fo any consevatve foce, t s always possble to wte the wok done

More information

Tian Zheng Department of Statistics Columbia University

Tian Zheng Department of Statistics Columbia University Haplotype Tansmsson Assocaton (HTA) An "Impotance" Measue fo Selectng Genetc Makes Tan Zheng Depatment of Statstcs Columba Unvesty Ths s a jont wok wth Pofesso Shaw-Hwa Lo n the Depatment of Statstcs at

More information

(5) Furthermore, the third constraint implies the following equation: (6)

(5) Furthermore, the third constraint implies the following equation: (6) T-Element Refactng System f Gaussan and Annula-Gaussan Beams Tansfmatn Abdallah K. Che *, Nabl I. Khachab, Mahmud K. Habb Electcal Engneeng Depatment, Cllege f Engneeng and Petleum, Kuat Unvesty, P. O.

More information

Cork Institute of Technology. Spring 2005 DCE 3.5 Thermodynamics & Heat Transfer (Time: 3 Hours) Section A

Cork Institute of Technology. Spring 2005 DCE 3.5 Thermodynamics & Heat Transfer (Time: 3 Hours) Section A Ck Insttute f echnlgy Bachel f Engneeng (Hnus) n Chemcal and Pcess Engneeng Stage 3 Bachel f Engneeng n Chemcal and Pcess Engneeng Stage 3 (NFQ Level 8) Spng 005 DCE 3.5 hemdynamcs & Heat ansfe (me: 3

More information

IGEE 401 Power Electronic Systems. Solution to Midterm Examination Fall 2004

IGEE 401 Power Electronic Systems. Solution to Midterm Examination Fall 2004 Jós, G GEE 401 wer Electrnc Systems Slutn t Mdterm Examnatn Fall 2004 Specal nstructns: - Duratn: 75 mnutes. - Materal allwed: a crb sheet (duble sded 8.5 x 11), calculatr. - Attempt all questns. Make

More information

Exercises for Frequency Response. ECE 102, Fall 2012, F. Najmabadi

Exercises for Frequency Response. ECE 102, Fall 2012, F. Najmabadi Eecses Fequency espnse EE 0, Fall 0, F. Najabad Eecse : Fnd the d-band an and the lwe cut- equency the aple belw. µ n (W/ 4 A/, t 0.5, λ 0, 0 µf, and µf Bth capacts ae lw- capacts. F. Najabad, EE0, Fall

More information

The Greatest Deviation Correlation Coefficient and its Geometrical Interpretation

The Greatest Deviation Correlation Coefficient and its Geometrical Interpretation By Rudy A. Gdeon The Unvesty of Montana The Geatest Devaton Coelaton Coeffcent and ts Geometcal Intepetaton The Geatest Devaton Coelaton Coeffcent (GDCC) was ntoduced by Gdeon and Hollste (987). The GDCC

More information

More Effective Optimum Synthesis of Path Generating Four-Bar Mechanisms

More Effective Optimum Synthesis of Path Generating Four-Bar Mechanisms Junal f Multdscplnay Engneeng Scence and Technlgy (JMEST) ISSN: 59- Vl. Issue 5, May - 5 Me Effectve Optmum Synthess f Path Geneatng Fu-Ba Mechansms Wen-Y Ln Depatment f Mechancal Engneeng De Ln Insttute

More information

EEE2146 Microelectronics Circuit Analysis and Design. MIC2: Investigation of Amplifier Parameters of a Common-Collector Amplifier

EEE2146 Microelectronics Circuit Analysis and Design. MIC2: Investigation of Amplifier Parameters of a Common-Collector Amplifier EEE2146 Mcelectncs Ccut Analyss and Desgn Expement MIC2 MIC2: Inestgatn f Amplfe Paametes f a Cmmn-Cllect Amplfe Ttal Pecentage: 5% (Fm 40% Cusewk Mak) 1. Objecte T nestgate the ltage and cuent gans and

More information

Microelectronics Circuit Analysis and Design. ac Equivalent Circuit for Common Emitter. Common Emitter with Time-Varying Input

Microelectronics Circuit Analysis and Design. ac Equivalent Circuit for Common Emitter. Common Emitter with Time-Varying Input Micelectnics Cicuit Analysis and Design Dnald A. Neamen Chapte 6 Basic BJT Amplifies In this chapte, we will: Undestand the pinciple f a linea amplifie. Discuss and cmpae the thee basic tansist amplifie

More information

element k Using FEM to Solve Truss Problems

element k Using FEM to Solve Truss Problems sng EM t Slve Truss Prblems A truss s an engneerng structure cmpsed straght members, a certan materal, that are tpcall pn-ned at ther ends. Such members are als called tw-rce members snce the can nl transmt

More information

FEEDBACK AMPLIFIERS. β f

FEEDBACK AMPLIFIERS. β f FEEDBC MPLFES X - X X X * What negatve eedback? ddng the eedback gnal t the nput a t patally cancel the nput gnal t the ample. * What eedback? Takng a ptn the gnal avng at the lad and eedng t back t the

More information

Chapter 7. Systems 7.1 INTRODUCTION 7.2 MATHEMATICAL MODELING OF LIQUID LEVEL SYSTEMS. Steady State Flow. A. Bazoune

Chapter 7. Systems 7.1 INTRODUCTION 7.2 MATHEMATICAL MODELING OF LIQUID LEVEL SYSTEMS. Steady State Flow. A. Bazoune Chapter 7 Flud Systems and Thermal Systems 7.1 INTODUCTION A. Bazune A flud system uses ne r mre fluds t acheve ts purpse. Dampers and shck absrbers are eamples f flud systems because they depend n the

More information

Online Appendix to Position Auctions with Budget-Constraints: Implications for Advertisers and Publishers

Online Appendix to Position Auctions with Budget-Constraints: Implications for Advertisers and Publishers Onlne Appendx to Poston Auctons wth Budget-Constants: Implcatons fo Advetses and Publshes Lst of Contents A. Poofs of Lemmas and Popostons B. Suppotng Poofs n the Equlbum Devaton B.1. Equlbum wth Low Resevaton

More information

Consumer Surplus Revisited

Consumer Surplus Revisited Consume Suplus Revsted Danel Schaffa Unvesty of Rchmond School of Law Novembe 3, 2018 Economsts have long studed how changes n pces affect consume wellbeng. Despte the consdeable pogess made towads esolvng

More information

Electric Charge. Electric charge is quantized. Electric charge is conserved

Electric Charge. Electric charge is quantized. Electric charge is conserved lectstatics lectic Chage lectic chage is uantized Chage cmes in incements f the elementay chage e = ne, whee n is an intege, and e =.6 x 0-9 C lectic chage is cnseved Chage (electns) can be mved fm ne

More information

A Brief Guide to Recognizing and Coping With Failures of the Classical Regression Assumptions

A Brief Guide to Recognizing and Coping With Failures of the Classical Regression Assumptions A Bef Gude to Recognzng and Copng Wth Falues of the Classcal Regesson Assumptons Model: Y 1 k X 1 X fxed n epeated samples IID 0, I. Specfcaton Poblems A. Unnecessay explanatoy vaables 1. OLS s no longe

More information

Section 4.2 Radians, Arc Length, and Area of a Sector

Section 4.2 Radians, Arc Length, and Area of a Sector Sectin 4.2 Radian, Ac Length, and Aea f a Sect An angle i fmed by tw ay that have a cmmn endpint (vetex). One ay i the initial ide and the the i the teminal ide. We typically will daw angle in the cdinate

More information

PHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle

PHYS 705: Classical Mechanics. Derivation of Lagrange Equations from D Alembert s Principle 1 PHYS 705: Classcal Mechancs Devaton of Lagange Equatons fom D Alembet s Pncple 2 D Alembet s Pncple Followng a smla agument fo the vtual dsplacement to be consstent wth constants,.e, (no vtual wok fo

More information

_J _J J J J J J J J _. 7 particles in the blue state; 3 particles in the red state: 720 configurations _J J J _J J J J J J J J _

_J _J J J J J J J J _. 7 particles in the blue state; 3 particles in the red state: 720 configurations _J J J _J J J J J J J J _ Dsrder and Suppse I have 10 partcles that can be n ne f tw states ether the blue state r the red state. Hw many dfferent ways can we arrange thse partcles amng the states? All partcles n the blue state:

More information

Prices, capacities and service levels in a congestible Bertrand duopoly *

Prices, capacities and service levels in a congestible Bertrand duopoly * Pces, capactes and sevce levels n a congestble etand duopoly * uno De oge and Kut Van Dende bstact We study the duopolstc nteacton between congestble facltes that supply pefect substtutes and make sequental

More information

CONVEX COMBINATIONS OF ANALYTIC FUNCTIONS

CONVEX COMBINATIONS OF ANALYTIC FUNCTIONS rnat. J. Math. & Math. S. Vl. 6 N. (983) 33534 335 ON THE RADUS OF UNVALENCE OF CONVEX COMBNATONS OF ANALYTC FUNCTONS KHALDA. NOOR, FATMA M. ALOBOUD and NAEELA ALDHAN Mathematcs Department Scence Cllege

More information

A) N B) 0.0 N C) N D) N E) N

A) N B) 0.0 N C) N D) N E) N Cdinat: H Bahluli Sunday, Nvembe, 015 Page: 1 Q1. Five identical pint chages each with chage =10 nc ae lcated at the cnes f a egula hexagn, as shwn in Figue 1. Find the magnitude f the net electic fce

More information

Chapter Fifiteen. Surfaces Revisited

Chapter Fifiteen. Surfaces Revisited Chapte Ffteen ufaces Revsted 15.1 Vecto Descpton of ufaces We look now at the vey specal case of functons : D R 3, whee D R s a nce subset of the plane. We suppose s a nce functon. As the pont ( s, t)

More information

Unifying Principle for Active Devices: Charge Control Principle

Unifying Principle for Active Devices: Charge Control Principle ES 330 Electncs II Supplemental Tpc #1 (August 2015) Unfyng Pncple f Actve Devces: hage ntl Pncple Dnald Estech An actve devce s an electn devce, such as a tansst, capable f delveng pwe amplfcatn by cnvetng

More information

Rigid Bodies: Equivalent Systems of Forces

Rigid Bodies: Equivalent Systems of Forces Engneeng Statcs, ENGR 2301 Chapte 3 Rgd Bodes: Equvalent Sstems of oces Intoducton Teatment of a bod as a sngle patcle s not alwas possble. In geneal, the se of the bod and the specfc ponts of applcaton

More information

Optimization Frequency Design of Eddy Current Testing

Optimization Frequency Design of Eddy Current Testing 5th WSEAS Int. Cnfeence n Appled Electagnetcs, Weless and Optcal Cuncatns, Tenefe, Span, Decebe 14-16, 2007 127 Optzatn Fequency Desgn f Eddy Cuent Testng NAONG MUNGKUNG 1, KOMKIT CHOMSUWAN 1, NAONG PIMPU

More information

ME2142/ME2142E Feedback Control Systems. Modelling of Physical Systems The Transfer Function

ME2142/ME2142E Feedback Control Systems. Modelling of Physical Systems The Transfer Function Mdellng Physcal Systems The Transer Functn Derental Equatns U Plant Y In the plant shwn, the nput u aects the respnse the utput y. In general, the dynamcs ths respnse can be descrbed by a derental equatn

More information

Chapter 6 : Gibbs Free Energy

Chapter 6 : Gibbs Free Energy Wnter 01 Chem 54: ntrductry hermdynamcs Chapter 6 : Gbbs Free Energy... 64 Defntn f G, A... 64 Mawell Relatns... 65 Gbbs Free Energy G(,) (ure substances)... 67 Gbbs Free Energy fr Mtures... 68 ΔG f deal

More information

Chapter I Matrices, Vectors, & Vector Calculus 1-1, 1-9, 1-10, 1-11, 1-17, 1-18, 1-25, 1-27, 1-36, 1-37, 1-41.

Chapter I Matrices, Vectors, & Vector Calculus 1-1, 1-9, 1-10, 1-11, 1-17, 1-18, 1-25, 1-27, 1-36, 1-37, 1-41. Chapte I Matces, Vectos, & Vecto Calculus -, -9, -0, -, -7, -8, -5, -7, -36, -37, -4. . Concept of a Scala Consde the aa of patcles shown n the fgue. he mass of the patcle at (,) can be epessed as. M (,

More information

N = N t ; t 0. N is the number of claims paid by the

N = N t ; t 0. N is the number of claims paid by the Iulan MICEA, Ph Mhaela COVIG, Ph Canddate epatment of Mathematcs The Buchaest Academy of Economc Studes an CECHIN-CISTA Uncedt Tac Bank, Lugoj SOME APPOXIMATIONS USE IN THE ISK POCESS OF INSUANCE COMPANY

More information

3. A Review of Some Existing AW (BT, CT) Algorithms

3. A Review of Some Existing AW (BT, CT) Algorithms 3. A Revew of Some Exstng AW (BT, CT) Algothms In ths secton, some typcal ant-wndp algothms wll be descbed. As the soltons fo bmpless and condtoned tansfe ae smla to those fo ant-wndp, the pesented algothms

More information

Interest Rates and Inflation Stability:

Interest Rates and Inflation Stability: Inteest Rates and Inflaton Stablty: GV INVEST 09 Recent Expeence and the Cochane Ctque May 2017 João Lído Bezea Bsneto¹ In the last decade, the feld of monetay economcs has undegone a knd of foced evoluton.

More information

CS579 - Homework 2. Tu Phan. March 10, 2004

CS579 - Homework 2. Tu Phan. March 10, 2004 I! CS579 - Hmewk 2 Tu Phan Mach 10, 2004 1 Review 11 Planning Pblem and Plans The planning pblem we ae cnsideing is a 3-tuple descibed in the language whse syntax is given in the bk, whee is the initial

More information

Economics 101. Lecture 4 - Equilibrium and Efficiency

Economics 101. Lecture 4 - Equilibrium and Efficiency Economcs 0 Lecture 4 - Equlbrum and Effcency Intro As dscussed n the prevous lecture, we wll now move from an envronment where we looed at consumers mang decsons n solaton to analyzng economes full of

More information

Example

Example hapte Exaple.6-3. ---------------------------------------------------------------------------------- 5 A single hllw fibe is placed within a vey lage glass tube. he hllw fibe is 0 c in length and has a

More information

In the OLG model, agents live for two periods. they work and divide their labour income between consumption and

In the OLG model, agents live for two periods. they work and divide their labour income between consumption and 1 The Overlapping Generatins Mdel (OLG) In the OLG mdel, agents live fr tw perids. When ung the wrk and divide their labur incme between cnsumptin and savings. When ld the cnsume their savings. As the

More information

CHAPTER 3 ANALYSIS OF KY BOOST CONVERTER

CHAPTER 3 ANALYSIS OF KY BOOST CONVERTER 70 CHAPTER 3 ANALYSIS OF KY BOOST CONERTER 3.1 Intrductn The KY Bst Cnverter s a recent nventn made by K.I.Hwu et. al., (2007), (2009a), (2009b), (2009c), (2010) n the nn-slated DC DC cnverter segment,

More information

ANALOG ELECTRONICS DR NORLAILI MOHD NOH

ANALOG ELECTRONICS DR NORLAILI MOHD NOH 24 ANALOG LTRONIS lass 5&6&7&8&9 DR NORLAILI MOHD NOH 3.3.3 n-ase cnfguatn V V Rc I π π g g R V /p sgnal appled t. O/p taken f. ted t ac gnd. The hybd-π del pdes an accuate epesentatn f the sall-sgnal

More information

Chapter 3, Solution 1C.

Chapter 3, Solution 1C. COSMOS: Cmplete Onlne Slutns Manual Organzatn System Chapter 3, Slutn C. (a If the lateral surfaces f the rd are nsulated, the heat transfer surface area f the cylndrcal rd s the bttm r the tp surface

More information

Engineering Mechanics. Force resultants, Torques, Scalar Products, Equivalent Force systems

Engineering Mechanics. Force resultants, Torques, Scalar Products, Equivalent Force systems Engneeng echancs oce esultants, Toques, Scala oducts, Equvalent oce sstems Tata cgaw-hll Companes, 008 Resultant of Two oces foce: acton of one bod on anothe; chaacteed b ts pont of applcaton, magntude,

More information

Example 11: The man shown in Figure (a) pulls on the cord with a force of 70

Example 11: The man shown in Figure (a) pulls on the cord with a force of 70 Chapte Tw ce System 35.4 α α 100 Rx cs 0.354 R 69.3 35.4 β β 100 Ry cs 0.354 R 111 Example 11: The man shwn in igue (a) pulls n the cd with a fce f 70 lb. Repesent this fce actin n the suppt A as Catesian

More information

KnowledgeZoom for Java: A Concept-Based Exam Study Tool with a Zoomable Open Student Model

KnowledgeZoom for Java: A Concept-Based Exam Study Tool with a Zoomable Open Student Model Pete Buslvsky Unvesty f Pttsbugh Pttsbugh, USA peteb@ptt.edu 2013 IEEE 13th Intenatnal Cnfeence n Advanced Leanng Technlges KnwledgeZm f Java: A Cncept-Based Exam Study Tl wth a Zmable Open Student del

More information

Lucas Imperfect Information Model

Lucas Imperfect Information Model Lucas Imerfect Infrmatn Mdel 93 Lucas Imerfect Infrmatn Mdel The Lucas mdel was the frst f the mdern, mcrfundatns mdels f aggregate suly and macrecnmcs It bult drectly n the Fredman-Phels analyss f the

More information

A. Thicknesses and Densities

A. Thicknesses and Densities 10 Lab0 The Eath s Shells A. Thcknesses and Denstes Any theoy of the nteo of the Eath must be consstent wth the fact that ts aggegate densty s 5.5 g/cm (ecall we calculated ths densty last tme). In othe

More information

Physics 107 HOMEWORK ASSIGNMENT #20

Physics 107 HOMEWORK ASSIGNMENT #20 Physcs 107 HOMEWORK ASSIGNMENT #0 Cutnell & Jhnsn, 7 th etn Chapter 6: Prblems 5, 7, 74, 104, 114 *5 Cncept Smulatn 6.4 prves the ptn f explrng the ray agram that apples t ths prblem. The stance between

More information

Optimal System for Warm Standby Components in the Presence of Standby Switching Failures, Two Types of Failures and General Repair Time

Optimal System for Warm Standby Components in the Presence of Standby Switching Failures, Two Types of Failures and General Repair Time Intenatonal Jounal of ompute Applcatons (5 ) Volume 44 No, Apl Optmal System fo Wam Standby omponents n the esence of Standby Swtchng Falues, Two Types of Falues and Geneal Repa Tme Mohamed Salah EL-Shebeny

More information

Conservation of Energy

Conservation of Energy Cnservatn f Energy Equpment DataStud, ruler 2 meters lng, 6 n ruler, heavy duty bench clamp at crner f lab bench, 90 cm rd clamped vertcally t bench clamp, 2 duble clamps, 40 cm rd clamped hrzntally t

More information

Lecture #2 : Impedance matching for narrowband block

Lecture #2 : Impedance matching for narrowband block Lectue # : Ipedance atching f nawband blck ichad Chi-Hsi Li Telephne : 817-788-848 (UA) Cellula phne: 13917441363 (C) Eail : chihsili@yah.c.cn 1. Ipedance atching indiffeent f bandwidth ne pat atching

More information

Physics 2A Chapter 11 - Universal Gravitation Fall 2017

Physics 2A Chapter 11 - Universal Gravitation Fall 2017 Physcs A Chapte - Unvesal Gavtaton Fall 07 hese notes ae ve pages. A quck summay: he text boxes n the notes contan the esults that wll compse the toolbox o Chapte. hee ae thee sectons: the law o gavtaton,

More information

EPr over F(X} AA+ A+A. For AeF, a generalized inverse. ON POLYNOMIAL EPr MATRICES

EPr over F(X} AA+ A+A. For AeF, a generalized inverse. ON POLYNOMIAL EPr MATRICES Intenat. J. Hath. & Math. S. VOL. 15 NO. 2 (1992) 261-266 ON POLYNOMIAL EP MATRICES 261 AR. MEENAKSHI and N. ANANOAM Depatment f Mathematics, Annamalai Univeslty, Annamalainaga- 68 2, Tamll Nadu, INDIA.

More information

Exercises H /OOA> f Wo AJoTHS l^»-l S. m^ttrt /A/ ?C,0&L6M5 INFERENCE FOR DISTRIBUTIONS OF CATEGORICAL DATA. tts^e&n tai-ns 5 2%-cas-hews^, 27%

Exercises H /OOA> f Wo AJoTHS l^»-l S. m^ttrt /A/ ?C,0&L6M5 INFERENCE FOR DISTRIBUTIONS OF CATEGORICAL DATA. tts^e&n tai-ns 5 2%-cas-hews^, 27% /A/ mttrt?c,&l6m5 INFERENCE FOR DISTRIBUTIONS OF CATEGORICAL DATA Exercses, nuts! A cmpany clams that each batch f ttse&n ta-ns 5 2%-cas-hews, 27% almnds, 13% macadama nuts, and 8% brazl nuts. T test ths

More information

Correspondence Analysis & Related Methods

Correspondence Analysis & Related Methods Coespondence Analyss & Related Methods Ineta contbutons n weghted PCA PCA s a method of data vsualzaton whch epesents the tue postons of ponts n a map whch comes closest to all the ponts, closest n sense

More information

LASER ABLATION ICP-MS: DATA REDUCTION

LASER ABLATION ICP-MS: DATA REDUCTION Lee, C-T A Lase Ablaton Data educton 2006 LASE ABLATON CP-MS: DATA EDUCTON Cn-Ty A. Lee 24 Septembe 2006 Analyss and calculaton of concentatons Lase ablaton analyses ae done n tme-esolved mode. A ~30 s

More information

Chem 204A, Fall 2004, Mid-term (II)

Chem 204A, Fall 2004, Mid-term (II) Frst tw letters f yur last name Last ame Frst ame McGll ID Chem 204A, Fall 2004, Md-term (II) Read these nstructns carefully befre yu start tal me: 2 hurs 50 mnutes (6:05 PM 8:55 PM) 1. hs exam has ttal

More information

APPLICATIONS OF SEMIGENERALIZED -CLOSED SETS

APPLICATIONS OF SEMIGENERALIZED -CLOSED SETS Intenatonal Jounal of Mathematcal Engneeng Scence ISSN : 22776982 Volume Issue 4 (Apl 202) http://www.mes.com/ https://stes.google.com/ste/mesounal/ APPLICATIONS OF SEMIGENERALIZED CLOSED SETS G.SHANMUGAM,

More information

Distinct 8-QAM+ Perfect Arrays Fanxin Zeng 1, a, Zhenyu Zhang 2,1, b, Linjie Qian 1, c

Distinct 8-QAM+ Perfect Arrays Fanxin Zeng 1, a, Zhenyu Zhang 2,1, b, Linjie Qian 1, c nd Intenatonal Confeence on Electcal Compute Engneeng and Electoncs (ICECEE 15) Dstnct 8-QAM+ Pefect Aays Fanxn Zeng 1 a Zhenyu Zhang 1 b Lnje Qan 1 c 1 Chongqng Key Laboatoy of Emegency Communcaton Chongqng

More information