Inter-Technology versus Intra-Technology Competition in Network Markets by Tobias Langenberg *

Size: px
Start display at page:

Download "Inter-Technology versus Intra-Technology Competition in Network Markets by Tobias Langenberg *"

Transcription

1 EURAS Yarbook of Standardization, Vol 5 Homo Oconomicus XXI1(1) (ACCEDO, Munich 005) Intr-Tchnology vrsus Intra-Tchnology Comptition in Ntwork Markts by Tobias Langnbrg * Abstract: Th modl analyzs th comptition btwn two firms whn thir incompatibl tchnologis xhibit ntwork ffcts in that high xpctd sals incras th willingnss to pay for th corrsponding good An incumbnt firm facs th stratgic choic of whthr to shar its suprior tchnology (via fr licnsing) with a followr or to kp its tchnology for itslf Th first option of sponsoring intra-tchnology comptition incrass th incumbnt firm s ntwork and thus consumrs willingnss to pay On th othr hand, th lattr option involvs intr-tchnology comptition Dpnding on th rlativ cost advantag of th incumbnt firm, th ntry of th rival tchnology may b blockadd, both tchnologis can coxist in an incompatibl duopoly or th incumbnt firm may dtr th ntry of its rival Th modl invstigats th incumbnt firm s choic of whthr to sponsor intra-tchnology comptition or to insist on intr-tchnology comptition 1 Introduction A fundamntal qustion of stratgy for a firm facing horizontal comptition in a ntwork markt is whthr to shar its tchnology with othr firms and to compt within a joint ntwork or to kp its tchnology for itslf 1 With just two firms, this stratgic choic involvs thr combinations of stratgis (Bsn and Farll, 1994) In th first, both firms prfr intr-tchnology comptition to dtrmin th industry standard In th scond cas, which corrsponds to th Battl of th Sxs, both firms want to compt within a joint ntwork but thy * Institut of Public Financ, Univrsity of Hamburg, Von-Mll-Park 5, D-0146 Hamburg, -mail: langnbg@conuni-hamburgd I would lik to thank Manfrd J Hollr, Hid Conn, Jörg Gröndahl and two anonymous rfrs for hlpful commnts on an arlir draft 1 Altrnativly, firms could nsur (at last partial) compatibility by using convrtrs In this cas, thy might adopt diffrnt tchnologis without losing th ntwork advantag of a joint tchnology For this altrnativ, s Farrll and Salonr (199)

2 T Langnbrg cannot agr on th standard: Each sponsor wants th othr to join its ntwork but would b willing to join th othr s if th altrnativ is incompatibility (Bsn and Farrll, 1994, p 15) Finally, in th last cas, on sponsor may prfr to maintain its tchnology whil th comptitor may wish to join th rival s ntwork It is an mpirical qustion whthr firms actually invit potntial rivals to licns thir tchnology and to compt within a joint ntwork In th arly 1980s, Intl licnsd its microprocssor dsigns to AMD Latr on, Intl rvrsd this dcision and brok off its agrmnt with AMD (s, for xampl, Shapiro and Varian, 1999, p 15) Anothr wll-known xampl for both intrtchnology and intra-tchnology comptition is th VHS/Btamax contst to dtrmin th standard for vido casstt rcordrs Dspit an arly lad and a suprior quality, th Sony Btamax systm was finally drivn out of th markt by th VHS systm from Japan Victor Corporation (JVC) Th ultimat victory of VHS can b attributd to JVC s stratgy of licnsing its tchnology to othr manufacturrs (s, for xampl, Grindly, 1995, pp ) In this modl, w follow Economids (1996) who assums that high xpctd sals incras th willingnss to pay for th ntwork good H shows that it can b bnficial for th xclusiv holdr of a ntwork tchnology to invit comptitors into its ntwork Th rason for this sming paradox (Economids, 1996, p 31) is that th holdr of th tchnology cannot crdibly commit to a ntwork siz which xcds its rlativly low profit-maximizing monopoly output Consumrs xpctations hav to b fulfilld at th quilibrium lvl Th invitation of othr firms is a slf-binding dvic for th innovator bcaus th rational consumrs anticipat that th markt s total output riss with th numbr of comptitors Whras th modl by Economids is confind to intra-tchnology comptition, this papr also dals with intr-tchnology comptition W focus on two firms A and B, ach is th xclusiv holdr of a tchnology Th modling of intr-tchnology comptition is basd on a systm of two linar dmand functions Total dmand can b incrasd by ntwork ffcts, i th markt siz is not fixd such as in modls of th Hotlling-typ Two asymmtris occur: First, firm A is assumd to b th quantity ladr Scondly, th tchnologis may hav diffrnt marginal costs Th incumbnt firm A facs th problm whthr to shar its suprior tchnology (via fr licnsing) with th potntial comptitor B or to kp its tchnology for itslf Lik in th modl by Economids, th invitation of comptitor B into product markt A incrass th ntwork siz and thus consumrs willingnss to pay S Hollr, Knips and Niskann (1997) for an ovrviw of various modls with ntwork ffcts

3 Intr-Tchnology vrsus Intra-Tchnology Comptition 3 If th incumbnt kps its tchnology for itslf, thr diffrnt quilibria may occur Dpnding on th rlativ cost advantag of tchnology A, th ntry of tchnology B can b blockadd, 3 both tchnologis may coxist in an incompatibl and htrognous duopoly or th incumbnt can dtr th ntry of tchnology B W will show that th incumbnt can raliz a highr profit in th cas of ntry dtrrnc than in th situation whr th comptitor s ntry is blockadd 4 Convrsly, th txtbook rsult (s, for xampl, Pfählr and Wis, 1998, p 116) is that th incumbnt s ntry dtrrnc stratgy is lss profitabl By supplying th dtrrnc output, th incumbnt not only prvnts th comptitor s ntry, it also crdibly commits to a quantity which xcds th profitmaximizing monopoly output As a consqunc, consumrs hav an incrasd willingnss to pay Furthrmor, it is shown that th dtrrnc profit can ris with dcrasing marginal costs of th compting tchnology Th rason for this prvrs ffct is that th positiv ntwork ffct of xpanding th quantity may xcd th dtrrnc costs Thr alrady xist modls daling with ntwork ffcts and ntry dtrrnc Gnrally, ths modls xamin how an incumbnt xploits th ntwork ffct in ordr to prvnt th ntry of a compting tchnology For xampl, Church and Gandal (1996) assum that th incumbnt can commit arlir to an installd bas of complmntary goods than its comptitor By ovr-invsting in th installd bas, th incumbnt strngthns th indirct ntwork ffcts for its tchnology so that th markt ntry of th compting systm is prvntd In an arlir modl, Farrll and Salonr (1986) dmonstrat that th incumbnt can prvnt th ntry of a compting ntwork tchnology by using prdatory pricing In this papr, it will b dmonstratd that ntry dtrrnc can only b a fulfilld xpctations quilibrium if th incumbnt s cost advantag is not too strong In th cas of a strong cost advantag, th ntry of th compting tchnology is blockadd and th incumbnt cannot crdibly commit to a ntwork siz that xcds its profit-maximizing monopoly quantity On th othr hand, if on tchnology only has a wak cost advantag, both tchnologis coxist in an incompatibl and htrognous duopoly Th rquirmnt, that xpctations hav to b fulfilld in th quilibrium, maks it ncssary to dtrmin th quilibrium in a two-stp approach: In th 3 In sction 3, w will omit th assumption that tchnology A is suprior As a consqunc, th ntry of A can b blockadd if tchnology B has a considrabl cost advantag 4 In this papr, th usual trminology is usd which distinguishs btwn dtrrd and blockadd ntry Blockadd ntry occurs whn th incumbnt just chooss th profit-maximizing stratgy and, givn this dcision, it is not worthwhil for th comptitor to ntr th markt Entry dtrrnc rfrs to situations whr th incumbnt has to modify its stratgy in ordr to prvnt ntry bcaus th comptitor is not as wak in trms of costs or quality as in th formr cas

4 4 T Langnbrg first stp, w will comput th profit-maximizing quantitis that fulfill xpctations for a givn path Th scond stp dals with th fact that firms could lav th path Stability conditions will b drivd for ach path and it will b shown that ths conditions nsur th uniqunss of th fulfilld xpctations quilibrium Th structur of th papr is as follows: Sction prsnts th modl assumptions Sction 3 is confind to intr-tchnology comptition Sction 4 xtnds th analysis to th incumbnt s stratgic problm whthr to shar its tchnology with th comptitor or to kp its tchnology for itslf In ordr to focus on th comparison of ntry dtrrnc with th invitation stratgy, w will assum that tchnology A has a modrat cost advantag It will b dmonstratd that ntry dtrrnc can b mor profitabl for th incumbnt than inviting ntry Concluding rmarks follow in sction 5 Modl structur Suppos that thr ar two incompatibl ntwork tchnologis i = A, B xclusivly hld by two firms Th dmand for th ntwork goods A and B is givn by th following systm of linar invrs dmand functions: i i i i j i (1) p = α β y γ y + n y, i, j = A, B, i j Th paramtr γ dnots th dgr of substitutability 5 For simplicity, suppos that βa = βb = 1 holds Morovr, lt us assum 0< γ < 1, thus th markts for A and B ar intrdpndnt Ntwork ffcts for good i dpnd on th lvl of xpctd sals y i and on th ntwork ffct paramtr 0 n 1 6 Thus, ntwork ffcts push th dmand curvs (for givn xpctations) up without changing thir slops 7 For ach unit sold, th ntwork bnfit is th sam For simplicity, suppos that th tchnologis hav constant marginal costs with 0 ci < αi Hnc, at last on firm will supply a positiv quantity Th modl has thr stags In th first stag, consumrs form xpctations by backward induction, i thy anticipat th quilibrium lvls of sals In th 5 This linar dmand systm - xcpt th ntwork ffct - gos back to Spnc (1976), Dixit (1979), and Singh and Vivs (1984) 6 For a discussion of th functional form of ntwork ffcts, s Swann (00) 7 S Wis (1997) who distinguishs btwn th dmand curvs for a givn lvl of sals xpctations and th fulfilld xpctations dmand curv which is dfind by quating xpctd sals with actual dmand

5 Intr-Tchnology vrsus Intra-Tchnology Comptition 5 AD, 0 scond stag, firm A (which is assumd to b th quantity ladr) slcts th profit-maximizing quantity of A Firm B rsponds in th third stag with th profitmaximizing quantity of B Four quilibrium paths may occur: 1 Both tchnologis can coxist in a htrognous and incompatibl duopoly, i firm B rsponds with y BI, * > 0 to th ladr quantity y AI, * > 0 Th markt ntry of firm B can b blockadd if firm A has a strong cost advantag Thn, firm A is abl to slct th profit-maximizing quantity y AM, * > 0 without paying attntion to firm B 3 In th cas of a strong cost advantag of tchnology B, th markt ntry of tchnology A may b blockadd so that followr B slcts th profit-maximizing quantity y B, M * > 0 in th third priod 4 If firm A has a modrat cost advantag, it can xploit its first movr advantag in ordr to dtr th ntry of th compting tchnology 8 Th dtrrnc quantity y * > is drivd from firm B s raction function It corrsponds to th quantity of good A which maks firm B rspond with an output qual to zro Figur 1 summarizs th timing structur and th possibl quilibrium paths which must fulfill consumrs xpctations Figur 1 Modl structur and possibl quilibrium paths 8 W do not distinguish btwn quantity and capacity in this modl Howvr, Dixit (1980) dmonstrats in a two-stag gam that th incumbnt cannot dtr ntry by invsting in a larg capacity, i th dtrrnc stratgy would not b subgam-prfct

6 6 3 Fulfilld xpctations quilibrium T Langnbrg Th fulfilld xpctations quilibrium is computd in a two-stp approach In th first stp, th profit-maximizing quantitis ar drivd for a givn path, i th quantitis must b qual to th path xpctations For xampl, considr th cas whr firm A has a monopoly and th ntry of tchnology B is blockadd As usual, w apply th backward-induction principl Starting in th scond stag, th profit-maximizing monopoly output is computd as a function of th xpctd ntwork siz Finally, in th first stag th xpctations ar ndognizd: At th quilibrium lvl, actual quantitis hav to b qual to th xpctd ons Th scond stp dals with th fact that firms could lav th path, givn th path xpctations Considr th xampl of firm A s monopoly with blockadd ntry of B In th third stag, firm B slcts th optimal quantity of good B, givn th path xpctations and firm A s optimal quantity If it wr bnficial for firm B to supply a positiv quantity of good B, i to lav th path, th path would not b consistnt any longr and consumrs would anticipat firm B to dviat Thus, rational xpctations xclud this path For th othr paths, w can dfin similar stability conditions 31 Profit-maximizing quantitis with fulfilld path xpctations This sction dals with th first stp of computing a fulfilld xpctations quilibrium For a givn path, w will driv th profit-maximizing quantitis which ar qual to th xpctd ons 311 Monopoly with blockadd ntry of th comptitor Assum that firm i has a considrabl cost advantag so that th ntry of tchnology j is blockadd Th profit function of monopolist i is givn by () im, yim, ( αi yim, n yi ci) Π = + Maximizing th profit function with rspct to y im, rsults in th monopoly quantity for givn xpctations: α (3), *( ) i ci + n y y i im yi = Th maximum monopoly profit for givn xpctations is qual to

7 Intr-Tchnology vrsus Intra-Tchnology Comptition 7 (4) im, *( yi ) ( α ) i c i + ny i = 4 Th xpctd quantity y i must b st qual to th actual quantity y im, * This dfins th lvl of fulfilld xpctations as th solution of α c n (5) yim, * = yim, *( yim, *) yim, * = i i, whr yim, *( y i) was substitutd from Equation (3) Th maximum monopoly profit with fulfilld xpctations is thn givn by (6) ( α ), * i c im i Π = ( n ) 31 Incompatibl duopoly In th scond stag, firm A slcts y A, I as th quantity of good A Firm B rsponds in th third stag with quantity y B, I of product B Th profit functions of th duopolists ar givn by i i i i j i i (7) Π = y ( α y γ y + n y c ) Maximizing th followr s profit function with rspct to y B, I rsults in th followr s optimal quantity for givn xpctations y B and for th givn ladr quantity y A, I : (8) BI, B AI, y *( y, y ) B cb γ ya, I + n yb α = Substituting Equation (8) in th profit function of firm A and maximizing with rspct to y A, I yilds th optimal ladr quantity for givn xpctations y A and y : B ( α ) ( ) ( ) (9), *(, ) A ca γ αb cb n γ yb y y A AI ya yb = ( γ )

8 8 T Langnbrg Substituting Equation (9) back in Equation (8) yilds th followr s bst rply (10) ybi, *( ya, y B) = (4 γ )( αb cb) γ ( αa ca) n( γ yb 4 yb + γ ya) 4( γ ) Aftr having drivd th optimal quantitis of A and B as functions of th xpctd ntwork sizs, th xpctations hav to b ndognizd in th first stag W mak us of Equations (9) and (10) to dfin th fixd point conditions yii, * = yii, *( yii, *, yji, *), i, j = A, B, i j Solving ths conditions for y A, I * and y B, I * rsults in th optimal quantitis of A and B which fulfill xpctations: γ ( α ) (4 )( ) (11), * B cb n αa c y A AI =, (4 n) γ ( n 4n+ 4) (1) y γ α, * A ca + γ + n αb cb BI = ( ) ( 4 )( ) (4 n) γ ( n 4n+ 4) Th maximum profits of firm A and B ar givn by: (13) (14) [ ] γ γ αb B αa A, * ( ) ( c ) ( n)( c ) Π AI = ( n 4n+ 4) γ (4 n) γ( αa ca) + ( γ + n 4)( αb cb) Π BI, * = ( n 4n+ 4) γ (4 n), Figur shows th profit-maximizing quantitis (as dashd lins) and th maximum profits with fulfilld xpctations Quantitis and profits ar functions of altrnativ marginal costs c B Th lowr and th uppr bounds of th incompatibl duopoly ar dnotd by c B,1 and c B,, rspctivly At th quilibrium lvl, th quantitis hav to b positiv, i y AI, * > 0 and y BI, * > 0 must hold

9 Intr-Tchnology vrsus Intra-Tchnology Comptition 9 Figur Profit-maximizing quantitis and maximum profits with fulfilld xpctations for αa = αb = 1, n = γ = 08 and CA = 05 Aftr rarranging Equations (11) and (1), w s that an incompatibl duopoly with fulfilld xpctations xists if ( n)( α c ) γ ( α c ) γ 4 n γ (15) c A A A A B,1 = αb < cb < cb, = αb In Figur, th quantitis and profits of firm A ris with c B On th othr hand, th quantitis and profits of firm B dcras with c B Gnrally, quantitis and profits show normal ractions to cost variations if yii, * γ = > c j ( n 4n+ 4) (4 n) γ 0 with i, j = A, B, i j, y * BI, γ + n 4 = < c B ( n 4n+ 4) (4 n) γ y AI, * n 4 = < c A ( n 4n+ 4) (4 n) γ 0 0 and holds Sinc γ > 0, γ + n 4< 0 and n 4< 0, th dnominators must b positiv Making us of this condition, w hav

10 30 (16) T Langnbrg y * * ii, yii, γ + γ γ + 16 > 0 and < 0 n< nid = cj ci 4 In th following analysis, w will assum that n< nid holds With incrasing ntwork paramtr n and rising dgr of substitutability γ, th xistnc ara cb,1, cb, shrinks and th functions y A, I * and y B, I * bcom stpr Th cas of cb,1 = cb, corrsponds to th situation of n = nid : Th incompatibl duopoly dos not xist any longr and y * and y * ar vrtical lins A, I Proposition 1 Th incompatibl duopoly occurs as a fulfilld xpctations quilibrium if cb,1 < cb < cb, holds B, I 313 Entry dtrrnc In th scond stag, quantity ladr A can supply an xcssiv quantity of good A in ordr to prvnt th ntry of tchnology B in th following stag Th optimal rspons of firm B, givn by Equation (8), must b st qual to zro Substituting rational xpctations y B = 0 and solving for y A rsults in th dtr- rnc output which fulfills xpctations: (17)! αb c B γ y A, D α y, * 0, * B c B BI = = yad = γ A D Substitution of y, * and y B = 0 in th profit function of firm A, givn by Equation (7), yilds th dtrrnc profit with fulfilld xpctations: (18) [ γ α ] ( αb cb) ( A ca) (1 n)( b cb) Π AD, * = γ Figur 3 dpicts dtrrnc quantitis and profits as functions of altrnativ marginal costs c B In th intrval x' c B 1, firm A s dtrrnc profit, Π A, D *, riss with dcrasing marginal costs, c B, of its rival To idntify th rason for this prvrs cost ffct, it is ncssary to scrutiniz firm A s profit function Th dtrrnc profit is composd of th dtrrnc rvnu, r A, D *, and total costs ca y AD, * As shown in Figur 3, firm A has to supply a largr dtrrnc quantity, y A, D *, with dcrasing c B Th largr ntwork siz rsults

11 Intr-Tchnology vrsus Intra-Tchnology Comptition 31 in an incrasd willingnss to pay for good A 9 Th dtrrnc rvnu is hyprbolic, it is maximal at x and gos back to zro bcaus th positiv ntwork ffct of th quantity xpansion is finally offst by a ngativ pric ffct Figur 3 Entry dtrrnc output and profit for αa = αb = 1, n = γ = c A = 05 Th dtrrnc profit is positiv if (19) γ ( α ) A, D* 0 B A c Π > α A < cb < αb 1 n holds Figur 4 illustrats how th dtrrnc profit racts to variations of th dgr of substitutability If th dgr of substitutability, γ, is low, firm A nds a largr quantity in ordr to prvnt th ntry of tchnology B Thus, starting with max c B = 1, th maximum dtrrnc profit Π AD, *( c B ) and th zro point ar rachd fastr 9 Th ntry dtrrnc stratgy is not ncssarily a crdibl commitmnt Latr on, w will driv th conditions for crdibility

12 3 T Langnbrg Figur 4 Impact of γ on th dtrrnc profit for αa = αb = 1, n = c A = 05 Figur 4 also dmonstrats that th maximum dtrrnc profit is indpndnt of th dgr of substitutability: (0) max (1 n) αb γ ( αa c A ) max ; ( α ), *( ) A c c A B = Π A D cb = (1 n) 4(1 n) Th impact of th ntwork paramtr n on th dtrrnc profit is unambiguous, i th dtrrnc profit always riss in n : (1) d Π * AD, ( αb cb) = > 0 dn γ Figur 5 dpicts this rsult If n approachs its uppr limit n = 1, th dtrrnc profit is illustratd by a straight lin Figur 5 Impact of n on th dtrrnc profit for αa = αb = 1, γ = c A = 05

13 Intr-Tchnology vrsus Intra-Tchnology Comptition 33 3 Consistncy of quilibrium paths So far, w hav drivd th profit-maximizing quantitis which fulfill xpctations on a givn path For xampl, in th cas of blockadd ntry, it was assumd that it is not bnficial for th wakr firm to ntr th markt Th scond stp of th quilibrium analysis dals with th fact that firms may dviat from th path 31 Blockadd ntry of tchnology B Suppos that th ntry of tchnology B is blockadd Th possibl quilibrium path with fulfilld xpctations is givn by: First stag: Consumrs form th xpctations ya = yam, * and y B = 0 Scond stag: Firm A slcts th monopoly quantity y A, M * Third stag: Firm B dos not ntr th markt, i y * = BI, 0 Starting with th third stag, w xamin whthr it is bnficial for firm B to choos y BI, * = 0 Substituting path xpctations y B = 0 and th ladr quantity y = y * in firm B s bst rply, givn by Equation (8), yilds: A AM, ( n)( B cb) ( A ca) B B B A A, M ( n) () y = y ( y = 0, y = y *) = γ( α ) (3) 0 A c y A B cb cb,3 = α B n α γ α Proposition Th markt ntry of tchnology B is blockadd if cb cb,3 holds Not that th uppr bound of th incompatibl duopoly, c B,, is always smallr than th lowr bound, c B,3, of tchnology B s blockadd ntry: c γ ( α c ) γ ( α c ) 4 n γ n A A A A B, = αb < c B,3 = αb Rarranging th inquation yilds

14 34 γ α T Langnbrg γ α ( A ca) ( A c ) < A 4 n 4 n γ, which is always fulfilld Hnc, th blockadd ntry of tchnology B xcluds th incompatibl duopoly 3 Blockadd ntry of tchnology A Th nxt stp is to analyz undr which circumstancs th ntry of tchnology A is blockadd Th possibl quilibrium path is givn by: First stag: Consumrs form th xpctations y A = 0 and yb = ybm, * Scond stag: Firm A dos not ntr th markt, i y A* = 0 Third stag: Firm B supplis th monopoly quantity y * B, M In ordr to xamin whthr it is bnficial for firm A to choos y A* = 0, w hav to driv firm B s optimal rply to th ladr quantity for givn path xpctations y = y * : B BM, (4) yb( ya) = ( αb cb) ( n) γ ya ( n) Substituting Equation (4) and y A = 0 in firm A s profit function and maximizing with rspct to y A rsults in firm A s optimal quantity in th cas whr firm A supplis a positiv quantity - i it lavs th path - in th scond stag: (5) ya = γ α α ( B cb) ( n)( A ca) ( n)( ) γ ( n)( α ) (6) 0 A c y A A cb cb,1 = α B γ Proposition 3 Th markt ntry of tchnology A is blockadd if cb cb,1 is givn Not that th uppr bound of tchnology A s blockadd ntry is qual to th lowr bound of th incompatibl duopoly Hnc, th incompatibl duopoly

15 Intr-Tchnology vrsus Intra-Tchnology Comptition 35 cannot occur as a fulfilld xpctations quilibrium if th ntry of tchnology A is blockadd 33 Entry dtrrnc Firm A can xploit its first-movr advantag in ordr to prvnt th ntry of tchnology B But th dtrrnc path is only consistnt if it is worthwhil for firm A to slct th dtrrnc output y A, D * in th scond stag, givn th path xpctations Th possibl quilibrium path is givn by: First stag: Consumrs form th xpctations ya = yad, * and y B = 0 Scond stag: Firm A supplis th dtrrnc quantity y A, D * Third stag: Firm B dos not ntr th markt, i y B = 0 Suppos that firm A slcts a lowr quantity ya < yad, * in th scond stag In this cas, it is bnficial for firm B to ntr th markt in th third stag Its bst rply for givn xpctations y = 0 is qual to: α (7) *( ) B cb γ y y A B ya = > 0 B Substituting yb *( y A) and ya = yad, * in firm A s profit function yilds: (8) Π AI, ( ya) = ya(γ αa+ nαb γ αb) γ ca+ γ cb ncb ( ya) ( γ ) γ Maximizing Equation (8) with rspct to quantity y * rsults in: A, D y A and substituting th dtrrnc (9) d Π AI, γ ( αa ca) + ( γ + n 4)( αb cb) = dya γ Entry dtrrnc is not consistnt if it is worthwhil for th ladr to rduc its quantity y A and to accpt firm B s markt ntry In this cas, th first drivativ of firm A s profit function must b ngativ:

16 36 (30) d Π AI, dya T Langnbrg < 0 cb < cb, Not that c B, is th uppr bound of th incompatibl duopoly Givn th dtrrnc output y A, D * and th dtrrnc xpctations ya = yad, * and y B = 0, firm A could incras its profit by rducing its output Thus, ntry dtrrnc is not consistnt in this cas Rational consumrs would anticipat th dviation from th dtrrnc path for valus lowr than c B, Howvr, if cb > cb, holds, firm A would always lowr its profit by rducing th output This is a ncssary, but not sufficint, condition for th consistncy of ntry dtrrnc Th nxt stp is to analyz undr which circumstancs firm A would dviat from th dtrrnc path by incrasing its output Suppos that firm A chooss ya > yad, * in th scond stag In this cas, firm B would not ntr th markt in th third stag Firm A s monopoly profit for givn xpctations ya = ya, D * and yb = 0 and for th actual quantity y = 0 is qual to B (31) [ γ( α ) + ( α )] ya A ca n B cb A, M ( ya) ( ya) Π = γ Maximizing Equation (31) with rspct to quantity y = y * rsults in: A AD, y A and substituting th dtrrnc (3) d Π AM, ( n)( αb cb ) = α A c A dy γ A Suppos that th first drivativ of firm A s profit function is positiv: (33) Π d AM, dya > 0 cb > cb,3 In this cas, firm A would slct a quantity which xcds th dtrrnc output Hnc, th first-stag xpctations ya = yad, * ar not consistnt with firm A s bhavior in th scond stag Thus, if tchnology B s ntry is blockadd, y = y * is th only quilibrium with fulfilld xpctations A AM, Proposition 4 Entry dtrrnc is a fulfilld xpctations quilibrium if and only if cb, < cb < cb,3 holds, i th incompatibl duopoly and th monopoly with blockadd ntry of th compting tchnology ar not fasibl

17 Intr-Tchnology vrsus Intra-Tchnology Comptition 37 Proposition 5 Lt c B,3 b infinitsimally smallr than c B,3 If th ntwork ffct is positiv, n > 0, w hav: Π A, D *( cb,3) >Π A, D *( cb,3 ) =Π A, M * For a sufficintly strong ntwork ffct n> ned, Π A, D * xcds Π A, M * throughout th rlvant intrval cb, < cb < cb,3 Proof AD, B,3 AM, W hav that Π *( c ) = Π * is always fulfilld A D Th first drivativ of Π, * is ngativ at c B,3 : (34) Π AD, *( c B,3) n( α A c A ) = < 0 cb γ ( n) Th limit n ED follows from Π A, D *( cb, ) >Π A, M *: (35) ( γ ) n> n ED = 1 A D Sinc Π, *( c ) is concav with B Π AD, * (1 n) = < 0 cb γ and continuous, Π A, D *( cb) >Π A, M * throughout th intrval cb, < cb < cb,3 QED 33 Numrical xampl Figur 6 dpicts th diffrnt fulfilld xpctations quilibria for a numrical xampl Th dtrrnc profit, Π A, D *, riss with dcrasing marginal costs of tchnology B bcaus th incumbnt firm can crdibly commit to a largr ntwork Sinc th ntwork ffcts ar sufficintly strong, th dtrrnc profit is always highr than firm A s monopoly profit with blockadd ntry of tchnology B

18 38 T Langnbrg Figur 6 Fulfilld xpctations quilibria for αa = αb = 1, n = γ = 08 and c A = 05 Figur 7 shows th quilibrium aras, whr th marginal costs of both tchnologis ar variabl Not that Figur 6 is a cross-sction of Figur 7 at c A = 05 Th figur illustrats that th dtrrnc stratgy is only fasibl if firm A has a modrat cost advantag Figur 7 Two-dimnsional rprsntation of fulfilld xpctations quilibria for αa = αb = 1, n = γ = 08

19 Intr-Tchnology vrsus Intra-Tchnology Comptition 39 4 Entry dtrrnc vs intra-tchnology comptition In this sction, w will analyz th incumbnt s stratgic choic of whthr to shar its tchnology with th rival or to kp its tchnology for itslf Lt us rstrict th analysis to th dtrrnc rgion c B, < c B < c B,3 Rcall that tchnology A is suprior to B in this ara In ordr to xclud multipl quilibria, it is also assumd that standardization on th suprior tchnology A (by dtrrnc or invitation) is focal 10 Th timing structur is as follows: In th first stag, firm A dcids whthr to invit its comptitor into ntwork A or not This dcision affcts consumrs xpctations in th scond stag Aftr having invitd its comptitor, firm A slcts its ladr quantity in th third stag Finally, firm B chooss th optimal followr quantity of good A in th fourth stag It is assumd that firm B can ithr join ntwork A or ntr th markt with its own tchnology B but not us both stratgis at th sam tim Morovr, suppos that both firms hav th sam marginal costs c A if thy produc good A Th quilibrium analysis is similar to th prcding on First, th profitmaximizing quantitis that fulfill xpctations on a givn path ar drivd Thn, w will analyz undr which circumstancs th invitation stratgy is slf-nforcing, i it must b bnficial for firm B to join voluntarily ntwork A instad of slcting its own tchnology B Th last stp of th quilibrium analysis dals with firm A s first-stag dcision, i whthr to invit its comptitor to ngag in intra-tchnology comptition or not 41 Profit-maximizing quantitis with fulfilld xpctations Suppos that firm A has invitd its comptitor In th cas of intra-tchnology comptition, th profit function of firm A is givn by: (36) A, L ya, L( α A ya, L ya, F n ya ca) Π = +, whr th ladr output is dnotd by y A, L and th followr quantity by y A, F Th profit function of firm B is qual to (37) A, F yaf, ( α A yal, yaf, n ya ca) Π = + 10 Thrfor, it is not ncssary to analyz th invitation of firm A into ntwork B Suppos that both firms invit ach othr into thir ntworks This coordination gam, which corrsponds to th Battl of th Sxs, has multipl xpctations and quilibria rspctivly

20 40 T Langnbrg Optimal quantitis for givn xpctations ar qual to (38) yal, *( ya) (39) yaf, *( ya) A A A α c + n y =, A A A α c + n y = 4 Summing up yilds th total output for givn xpctations: (40) y *( y ) A A A A A 3( α c + n y ) = 4 Maximum profits for givn xpctations ar qual to: (41) (4) ( α ), *( ) A ca+ n y Π A AL ya =, ( α ), *( ) A ca+ n y Π A AF ya = 8 16 Th fixd point condition is drivd from Equation (40): 3( α ) (43) * *( *) * A c ya = ya ya ya = A 4 3n Optimal quantitis and profits with fulfilld xpctations ar givn by Equations (44)-(47): (44) y * ( α ), 4 3 A ca AL, = n α (45) y * = A ca AF, 4 3n, (46) ( α ), * A c Π A AL = n (3 4),

21 Intr-Tchnology vrsus Intra-Tchnology Comptition 41 (47) ( α ), * A c Π A AF = n (3 4) Not that th ladr profit is twic as high as th followr profit This rsult rflcts th first movr advantag of th Stacklbrg ladr Figur 8 illustrats th impact of firm B s ntry on th xpctd ntwork siz of good A Suppos that th ntry of tchnology B is blockadd In th monopoly cas, A 1 rprsnts th optimal quantity of good A which fulfills xpctations This quantity is givn by th intrsction point of y* A, M ( y A) with th 45 -lin By th ntry of firm B into ntwork A, th curv y* A ( y A) is shiftd outward Th optimal quantity, which fulfills xpctations, incrass to A Th invitation is th only way to commit crdibly to a ntwork siz which xcds firm A s profit-maximizing monopoly output If firm A promisd to produc th output A by itslf, it would not b crdibl bcaus, as a monopolist, firm A has an incntiv to rduc output for any givn lvl of xpctations xcding A 1 Figur 8 Impact of th invitation on th xpctd ntwork siz At y A = 0, th curv ya *( y A) is abov th 45 -lin bcaus of α A > ca If its slop is smallr than on, th function has an intrsction with th 45 -lin: (48) dya*( ya) 4 < 1 n <, dy 3 A

22 4 T Langnbrg which is always fulfilld bcaus of th assumption n < 1 If firm A is a monopolist, th xistnc condition is rlaxd From Equation (3) follows that n < must hold in this cas 4 Consistncy of th invitation stratgy So far, w hav drivd th profit-maximizing quantitis which fulfill xpctations on a givn path Thus, in th cas of intra-tchnology comptition, it was assumd that it is worthwhil for firm B to join ntwork A Now, it must b takn into account that firm B could dviat from this path Th duopoly within markt A is givn by th following path: First stag: Firm A invits its comptitor into ntwork A Scond stag: Consumrs form th xpctations ya = yal, * + yaf, * and y B = 0 Third stag: Firm A slcts th ladr quantity y A, L * of good A Fourth stag: Firm B racts with th followr quantity y * of good A Starting with th last stag, w analyz whthr it is rally bnficial for firm B to accpt th invitation into ntwork A First, th profit-maximizing quantity of good B must b drivd, givn th ladr output y A, L * and th xpctations y B = 0 Substituting y A, L * and y B = 0 in firm B s bst rply, givn by Equation (8), yilds: A, F (4 3 )( α ) γ( α ) (49) yˆ = y ( y = 0, y = y *) = n B cb A ca B B B A A, L (4 3 n) Firm B s maximum profit for dviating from th invitation path is givn by: (50) [ γ( α c ) (4 3 n)( α c )] ˆ A A B B, if yˆ 0 B > Π B = 4(3n 4) 0, othrwis Firm B voluntarily joins ntwork A if th followr profit within ntwork A xcds th dviation profit Π ˆ B : (51) ( )(1 ), * ˆ α ˆ A c AF B cb cb B A + γ Π >Π > = α 4 3n

23 Intr-Tchnology vrsus Intra-Tchnology Comptition 43 Proposition 6 Firm B accpts th invitation into ntwork A if cb > cˆ B holds Othrwis, th invitation path cannot b a fulfilld xpctations quilibrium bcaus firm B would run its own tchnology B Figur 9 illustrats th consistncy condition for th invitation path For cb < cˆ B, firm B s dviation profit ˆ Π B xcds its followr profit Π A, F * within markt A Thus, th invitation stratgy is not fasibl If cb > cˆ B is givn, th invitation stratgy is slf-nforcing Figur 9 Consistncy of th invitation stratgy for αa = αb = 1, n = γ = c A = Th invitation dcision It rmains to b analyzd undr which circumstancs firm A will invit its comptitor instad of slcting th dtrrnc output of good A If th invitation stratgy is fasibl, firm A has to compar its invitation payoff with its dtrrnc payoff Proposition 7 Suppos that ntry dtrrnc is fasibl, i cb, < cb < cb,3 Ntwork A is closd and ntry dtrrnc occurs as a fulfilld xpctations quilibrium if Π A, D * > Π A, L * holds Convrsly, if Π A, D * < Π A, L * is givn, th invitation of firm B is a fulfilld xpctations quilibrium Sinc ˆB c B, dtrrnc intrval c B, < c B < c B, 3 c < always holds, th invitation into ntwork A is slf-nforcing throughout th

24 44 T Langnbrg Figur 10 compars th dtrrnc profits with th profits in th cas of intratchnology comptition If c B < c B holds, firm A invits its comptitor For cb, < cb < c B, firm A slcts th dtrrnc stratgy Thus, in this situation dtrrnc is a mor succssful commitmnt dvic than th invitation stratgy Figur 10 Invitation into ntwork A vs ntry dtrrnc for αa = αb = 1, n = γ = 08 and c A = 0 5 Concluding rmarks In this papr, w hav modld th problm of whthr an incumbnt firm has an incntiv to shar its tchnology with a rival firm or to kp its tchnology for itslf By sharing its tchnology, th incumbnt crdibly commits to a futur ntwork siz which xcds th profit-maximizing monopoly quantity As a consqunc, th incumbnt raps th bnfits of th consumrs incrasd willingnss to pay for th ntwork good What drivs th modl is th assumption that consumrs form rational xpctations about th ntwork siz bfor th firms ar abl to choos thir output lvls 1 This timing structur (including th Stacklbrg assumption) is th sam as in th modl by Econonomids (1996) Whras Economids modl is confind to intra-tchnology comptition, w hav prsntd a framwork daling both with intr-tchnology and intra-tchnology comptition 1 Th modl dals with rational xpctations in that consumrs xpctations involv all information availabl Of cours, in ral markt situations, thr can b uncrtainty (prhaps with rspct to th pac of tchnological progrss) S Farrll and Katz (1998) for an analysis covring othr typs of xpctations, most notably stubborn xpctations

25 Intr-Tchnology vrsus Intra-Tchnology Comptition 45 W hav analyzd th problm in two stps Th first stp was rstrictd to intr-tchnology comptition, i th incumbnt was assumd to kp th own tchnology for itslf W hav sn that th fulfilld xpctations quilibria dpnd on th rlativ marginal costs of both tchnologis Th ntry of th followr may b blockadd if th incumbnt firm has strong cost advantags But if th followr has a considrabl cost advantag, th incumbnt s ntry can b blockadd as wll On th othr hand, in th cas of wak cost diffrncs, both tchnologis coxist in an incompatibl and htrognous duopoly Entry dtrrnc is fasibl only if th incumbnt has a modrat cost advantag Each of th four possibl fulfilld xpctations quilibria has to mt consistncy conditions which nsur th uniqunss of th quilibrium Th abov rsults rflct th ida that markts ar tippy, i th coxistnc of incompatibl products may b unstabl if firms ar dissimilar in trms of costs Morovr, th rgion of th incompatibl duopoly shrinks with strong ntwork ffcts and with a rising dgr of substitutability Th cntral argumnt of th papr is that th incumbnt may raliz a highr profit in th cas of ntry dtrrnc than in th situation whr th comptitor s ntry is blockadd Th dtrrnc quantity not only prvnts th comptitor s ntry, it also incrass th incumbnt s ntwork and thus consumrs willingnss to pay Furthrmor, w hav drivd th prvrs ffct that th dtrrnc profit can ris with dcrasing marginal costs of th followr bcaus th incumbnt has to supply a largr dtrrnc quantity with incrasing strngth of its rival In th scond part of th modl, w hav analyzd th incumbnt s choic of whthr to shar its tchnology or to insist on intr-tchnology comptition W hav sn that th dtrrnc stratgy can b mor profitabl for th incumbnt (if th incumbnt s cost advantag is not too strong) than th stratgy of sharing its tchnology Sinc th incumbnt dos not intrnaliz th positiv xtrnalitis of th invitation stratgy, which xists in trms of th followr profit and in an incrasd consumrs surplus, on can xpct th dtrrnc stratgy to b wlfar infrior Consquntly, a policy rcommndation should b to oblig th incumbnt firm to licns its tchnology to th rival Rfrncs Bsn, SM and J Farrll (1994), Choosing how to compt: stratgis and tactics in standardization, Journal of Economic Prspctivs, 8, Church, J and N Gandal (1996), Stratgic ntry dtrrnc: complmntary products as installd bas, MJ Hollr and J-F Thiss (ds), Th Economics of Standardization, Spcial Issu of th Europan Journal of Political Economy, 1, Dixit, A (1979), A modl of duopoly suggsting a thory of ntry barrirs, Bll Journal of Economics, 10, 0-3

26 46 T Langnbrg Dixit, A (1980), Th rol of invstmnt in ntry-dtrrnc, Economic Journal, 90, Economids, N (1996), Ntwork xtrnalitis, complmntaritis, and invitations to ntr, MJ Hollr and J-F Thiss (ds), Th Economics of Standardization, Spcial Issu of th Europan Journal of Political Economy, 1, Farrll, J and ML Katz (1998), Th ffcts of antitrust and intllctual proprty law on compatibility and innovation, Antitrust Bulltin, 43, Farrll, J and G Salonr (1986), Installd bas and compatibility: innovation, product prannouncmnts, and prdation, Amrican Economic Rviw, 76, Farrll, J and G Salonr (199), Convrtrs, compatibility, and th control of intrfacs, Journal of Industrial Economics, 40, 9-35 Grindly, P (1995), Standards Stratgy and Policy: Cass and Storis, Nw York: Oxford Univrsity Prss Hollr MJ, G Knips and E Niskann (1997), Standardization in transportation markts: a Europan prspctiv, MJ Hollr and E Niskann (ds), EURAS Yarbook of Standardization, 1, Munich: ACCEDO-Vrlag, Pfählr, W and H Wis (1998), Untrnhmnsstratgin im Wttbwrb: Ein spilthortisch Analys, Brlin, Hidlbrg: Springr-Vrlag Singh, N and X Vivs (1984), Pric and quantity comptition in a diffrntiatd duopoly, Rand Journal of Economics, 15, Shapiro, C and HR Varian (1999), Information Ruls: a Stratgic guid to th Ntwork Economy, Boston, Massachustts: Harvard Businss School Prss Spnc, M (1976), Product diffrntiation and wlfar, Amrican Economic Rviw, 66, Swann, GMP (00), Th functional form of ntwork ffcts, Information Economics and Policy, 14, Wis, H (1997), Compatibility, businss stratgy and markt structur - a slctiv survy, MJ Hollr and E Niskann (ds), EURAS Yarbook of Standardization, Volum 1, Munich: ACCEDO-Vrlag,

4. Money cannot be neutral in the short-run the neutrality of money is exclusively a medium run phenomenon.

4. Money cannot be neutral in the short-run the neutrality of money is exclusively a medium run phenomenon. PART I TRUE/FALSE/UNCERTAIN (5 points ach) 1. Lik xpansionary montary policy, xpansionary fiscal policy rturns output in th mdium run to its natural lvl, and incrass prics. Thrfor, fiscal policy is also

More information

Chapter 13 Aggregate Supply

Chapter 13 Aggregate Supply Chaptr 13 Aggrgat Supply 0 1 Larning Objctivs thr modls of aggrgat supply in which output dpnds positivly on th pric lvl in th short run th short-run tradoff btwn inflation and unmploymnt known as th Phillips

More information

SUNK COST EFFICIENCY WITH DISCRETE COMPETITORS

SUNK COST EFFICIENCY WITH DISCRETE COMPETITORS Sunk Cost Efficincy with Discrt Comptitors SUNK COST EFFICIENCY WITH DISCRETE COMPETITORS Linus Wilson, Univrsity of Louisiana at Lafaytt ABSTRACT Whn ntrants only diffr in thir xognous ntry costs, th

More information

(Upside-Down o Direct Rotation) β - Numbers

(Upside-Down o Direct Rotation) β - Numbers Amrican Journal of Mathmatics and Statistics 014, 4(): 58-64 DOI: 10593/jajms0140400 (Upsid-Down o Dirct Rotation) β - Numbrs Ammar Sddiq Mahmood 1, Shukriyah Sabir Ali,* 1 Dpartmnt of Mathmatics, Collg

More information

The Open Economy in the Short Run

The Open Economy in the Short Run Economics 442 Mnzi D. Chinn Spring 208 Social Scincs 748 Univrsity of Wisconsin-Madison Th Opn Economy in th Short Run This st of nots outlins th IS-LM modl of th opn conomy. First, it covrs an accounting

More information

Equilibria in a Capacity-Constrained Di erentiated Duopoly

Equilibria in a Capacity-Constrained Di erentiated Duopoly Equilibria in a Capacity-Constraind Di rntiatd Duopoly Maxim Sinitsyn McGill Univrsity Prliminary and incomplt. Abstract In this papr I analyz th modl of pric-stting duopoly with capacity-constraind rms

More information

Environmental Policy and Time Consistency: Emission Taxes and Emissions Trading

Environmental Policy and Time Consistency: Emission Taxes and Emissions Trading Environmntal Policy and Tim Consistncy: Emission Taxs and Emissions Trading Ptr W. Knndy 1 and Bnoît Laplant 2 1 Dpartmnt of Economics, Univrsity of Victoria, Victoria, British Columbia V8W 2Y2, Canada.

More information

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches.

22/ Breakdown of the Born-Oppenheimer approximation. Selection rules for rotational-vibrational transitions. P, R branches. Subjct Chmistry Papr No and Titl Modul No and Titl Modul Tag 8/ Physical Spctroscopy / Brakdown of th Born-Oppnhimr approximation. Slction ruls for rotational-vibrational transitions. P, R branchs. CHE_P8_M

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

dr Bartłomiej Rokicki Chair of Macroeconomics and International Trade Theory Faculty of Economic Sciences, University of Warsaw

dr Bartłomiej Rokicki Chair of Macroeconomics and International Trade Theory Faculty of Economic Sciences, University of Warsaw dr Bartłomij Rokicki Chair of Macroconomics and Intrnational Trad Thory Faculty of Economic Scincs, Univrsity of Warsaw dr Bartłomij Rokicki Opn Economy Macroconomics Small opn conomy. Main assumptions

More information

Chapter 14 Aggregate Supply and the Short-run Tradeoff Between Inflation and Unemployment

Chapter 14 Aggregate Supply and the Short-run Tradeoff Between Inflation and Unemployment Chaptr 14 Aggrgat Supply and th Short-run Tradoff Btwn Inflation and Unmploymnt Modifid by Yun Wang Eco 3203 Intrmdiat Macroconomics Florida Intrnational Univrsity Summr 2017 2016 Worth Publishrs, all

More information

Two Products Manufacturer s Production Decisions with Carbon Constraint

Two Products Manufacturer s Production Decisions with Carbon Constraint Managmnt Scinc and Enginring Vol 7 No 3 pp 3-34 DOI:3968/jms9335X374 ISSN 93-34 [Print] ISSN 93-35X [Onlin] wwwcscanadant wwwcscanadaorg Two Products Manufacturr s Production Dcisions with Carbon Constraint

More information

Estimation of apparent fraction defective: A mathematical approach

Estimation of apparent fraction defective: A mathematical approach Availabl onlin at www.plagiarsarchlibrary.com Plagia Rsarch Library Advancs in Applid Scinc Rsarch, 011, (): 84-89 ISSN: 0976-8610 CODEN (USA): AASRFC Estimation of apparnt fraction dfctiv: A mathmatical

More information

Optimizing Product Launches in the Presence of Strategic Consumers Appendix

Optimizing Product Launches in the Presence of Strategic Consumers Appendix Optimizing Product Launchs in th Prsnc of Stratgic Consumrs Appndix Ilan Lobl Jigar Patl Gustavo Vulcano Jiawi Zhang Lonard N. Strn School of Businss, Nw York Univrsity, 44 Wst Fourth St., Nw York, NY

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information

Inflation and Unemployment

Inflation and Unemployment C H A P T E R 13 Aggrgat Supply and th Short-run Tradoff Btwn Inflation and Unmploymnt MACROECONOMICS SIXTH EDITION N. GREGORY MANKIW PowrPoint Slids by Ron Cronovich 2008 Worth Publishrs, all rights rsrvd

More information

Higher order derivatives

Higher order derivatives Robrto s Nots on Diffrntial Calculus Chaptr 4: Basic diffrntiation ruls Sction 7 Highr ordr drivativs What you nd to know alrady: Basic diffrntiation ruls. What you can larn hr: How to rpat th procss of

More information

Math 34A. Final Review

Math 34A. Final Review Math A Final Rviw 1) Us th graph of y10 to find approimat valus: a) 50 0. b) y (0.65) solution for part a) first writ an quation: 50 0. now tak th logarithm of both sids: log() log(50 0. ) pand th right

More information

First derivative analysis

First derivative analysis Robrto s Nots on Dirntial Calculus Chaptr 8: Graphical analysis Sction First drivativ analysis What you nd to know alrady: How to us drivativs to idntiy th critical valus o a unction and its trm points

More information

1973 AP Calculus AB: Section I

1973 AP Calculus AB: Section I 97 AP Calculus AB: Sction I 9 Minuts No Calculator Not: In this amination, ln dnots th natural logarithm of (that is, logarithm to th bas ).. ( ) d= + C 6 + C + C + C + C. If f ( ) = + + + and ( ), g=

More information

Diploma Macro Paper 2

Diploma Macro Paper 2 Diploma Macro Papr 2 Montary Macroconomics Lctur 6 Aggrgat supply and putting AD and AS togthr Mark Hays 1 Exognous: M, G, T, i*, π Goods markt KX and IS (Y, C, I) Mony markt (LM) (i, Y) Labour markt (P,

More information

The Ramsey Model. Reading: Firms. Households. Behavior of Households and Firms. Romer, Chapter 2-A;

The Ramsey Model. Reading: Firms. Households. Behavior of Households and Firms. Romer, Chapter 2-A; Th Ramsy Modl Rading: Romr, Chaptr 2-A; Dvlopd by Ramsy (1928), latr dvlopd furthr by Cass (1965) and Koopmans (1965). Similar to th Solow modl: labor and knowldg grow at xognous rats. Important diffrnc:

More information

EXST Regression Techniques Page 1

EXST Regression Techniques Page 1 EXST704 - Rgrssion Tchniqus Pag 1 Masurmnt rrors in X W hav assumd that all variation is in Y. Masurmnt rror in this variabl will not ffct th rsults, as long as thy ar uncorrlatd and unbiasd, sinc thy

More information

A Propagating Wave Packet Group Velocity Dispersion

A Propagating Wave Packet Group Velocity Dispersion Lctur 8 Phys 375 A Propagating Wav Packt Group Vlocity Disprsion Ovrviw and Motivation: In th last lctur w lookd at a localizd solution t) to th 1D fr-particl Schrödingr quation (SE) that corrsponds to

More information

Network Congestion Games

Network Congestion Games Ntwork Congstion Gams Assistant Profssor Tas A&M Univrsity Collg Station, TX TX Dallas Collg Station Austin Houston Bst rout dpnds on othrs Ntwork Congstion Gams Travl tim incrass with congstion Highway

More information

Supplementary Materials

Supplementary Materials 6 Supplmntary Matrials APPENDIX A PHYSICAL INTERPRETATION OF FUEL-RATE-SPEED FUNCTION A truck running on a road with grad/slop θ positiv if moving up and ngativ if moving down facs thr rsistancs: arodynamic

More information

Principles of Humidity Dalton s law

Principles of Humidity Dalton s law Principls of Humidity Dalton s law Air is a mixtur of diffrnt gass. Th main gas componnts ar: Gas componnt volum [%] wight [%] Nitrogn N 2 78,03 75,47 Oxygn O 2 20,99 23,20 Argon Ar 0,93 1,28 Carbon dioxid

More information

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values

Bifurcation Theory. , a stationary point, depends on the value of α. At certain values Dnamic Macroconomic Thor Prof. Thomas Lux Bifurcation Thor Bifurcation: qualitativ chang in th natur of th solution occurs if a paramtr passs through a critical point bifurcation or branch valu. Local

More information

Construction of asymmetric orthogonal arrays of strength three via a replacement method

Construction of asymmetric orthogonal arrays of strength three via a replacement method isid/ms/26/2 Fbruary, 26 http://www.isid.ac.in/ statmath/indx.php?modul=prprint Construction of asymmtric orthogonal arrays of strngth thr via a rplacmnt mthod Tian-fang Zhang, Qiaoling Dng and Alok Dy

More information

1 Minimum Cut Problem

1 Minimum Cut Problem CS 6 Lctur 6 Min Cut and argr s Algorithm Scribs: Png Hui How (05), Virginia Dat: May 4, 06 Minimum Cut Problm Today, w introduc th minimum cut problm. This problm has many motivations, on of which coms

More information

VALUING SURRENDER OPTIONS IN KOREAN INTEREST INDEXED ANNUITIES

VALUING SURRENDER OPTIONS IN KOREAN INTEREST INDEXED ANNUITIES VALUING SURRENDER OPTIONS IN KOREAN INTEREST INDEXED ANNUITIES Changi Kim* * Dr. Changi Kim is Lcturr at Actuarial Studis Faculty of Commrc & Economics Th Univrsity of Nw South Wals Sydny NSW 2052 Australia.

More information

1997 AP Calculus AB: Section I, Part A

1997 AP Calculus AB: Section I, Part A 997 AP Calculus AB: Sction I, Part A 50 Minuts No Calculator Not: Unlss othrwis spcifid, th domain of a function f is assumd to b th st of all ral numbrs for which f () is a ral numbr.. (4 6 ) d= 4 6 6

More information

Economics 201b Spring 2010 Solutions to Problem Set 3 John Zhu

Economics 201b Spring 2010 Solutions to Problem Set 3 John Zhu Economics 20b Spring 200 Solutions to Problm St 3 John Zhu. Not in th 200 vrsion of Profssor Andrson s ctur 4 Nots, th charactrization of th firm in a Robinson Cruso conomy is that it maximizs profit ovr

More information

Exam 1. It is important that you clearly show your work and mark the final answer clearly, closed book, closed notes, no calculator.

Exam 1. It is important that you clearly show your work and mark the final answer clearly, closed book, closed notes, no calculator. Exam N a m : _ S O L U T I O N P U I D : I n s t r u c t i o n s : It is important that you clarly show your work and mark th final answr clarly, closd book, closd nots, no calculator. T i m : h o u r

More information

A Prey-Predator Model with an Alternative Food for the Predator, Harvesting of Both the Species and with A Gestation Period for Interaction

A Prey-Predator Model with an Alternative Food for the Predator, Harvesting of Both the Species and with A Gestation Period for Interaction Int. J. Opn Problms Compt. Math., Vol., o., Jun 008 A Pry-Prdator Modl with an Altrnativ Food for th Prdator, Harvsting of Both th Spcis and with A Gstation Priod for Intraction K. L. arayan and. CH. P.

More information

What case should you bring to court to alter precedent in your favour - a strong or a weak case?

What case should you bring to court to alter precedent in your favour - a strong or a weak case? What cas should you bring to court to altr prcdnt in your favour - a strong or a wak cas? Hnrik Borchgrvink Dpartmnt of conomics, Univrsity of Oslo, PB 95 Blindrn, 37 Oslo, Norway Sptmbr, 9 Abstract Taking

More information

Extraction of Doping Density Distributions from C-V Curves

Extraction of Doping Density Distributions from C-V Curves Extraction of Doping Dnsity Distributions from C-V Curvs Hartmut F.-W. Sadrozinski SCIPP, Univ. California Santa Cruz, Santa Cruz, CA 9564 USA 1. Connction btwn C, N, V Start with Poisson quation d V =

More information

Differential Equations

Differential Equations Prfac Hr ar m onlin nots for m diffrntial quations cours that I tach hr at Lamar Univrsit. Dspit th fact that ths ar m class nots, th should b accssibl to anon wanting to larn how to solv diffrntial quations

More information

Search sequence databases 3 10/25/2016

Search sequence databases 3 10/25/2016 Sarch squnc databass 3 10/25/2016 Etrm valu distribution Ø Suppos X is a random variabl with probability dnsity function p(, w sampl a larg numbr S of indpndnt valus of X from this distribution for an

More information

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero.

SECTION where P (cos θ, sin θ) and Q(cos θ, sin θ) are polynomials in cos θ and sin θ, provided Q is never equal to zero. SETION 6. 57 6. Evaluation of Dfinit Intgrals Exampl 6.6 W hav usd dfinit intgrals to valuat contour intgrals. It may com as a surpris to larn that contour intgrals and rsidus can b usd to valuat crtain

More information

2008 AP Calculus BC Multiple Choice Exam

2008 AP Calculus BC Multiple Choice Exam 008 AP Multipl Choic Eam Nam 008 AP Calculus BC Multipl Choic Eam Sction No Calculator Activ AP Calculus 008 BC Multipl Choic. At tim t 0, a particl moving in th -plan is th acclration vctor of th particl

More information

LINEAR DELAY DIFFERENTIAL EQUATION WITH A POSITIVE AND A NEGATIVE TERM

LINEAR DELAY DIFFERENTIAL EQUATION WITH A POSITIVE AND A NEGATIVE TERM Elctronic Journal of Diffrntial Equations, Vol. 2003(2003), No. 92, pp. 1 6. ISSN: 1072-6691. URL: http://jd.math.swt.du or http://jd.math.unt.du ftp jd.math.swt.du (login: ftp) LINEAR DELAY DIFFERENTIAL

More information

A. Limits and Horizontal Asymptotes ( ) f x f x. f x. x "±# ( ).

A. Limits and Horizontal Asymptotes ( ) f x f x. f x. x ±# ( ). A. Limits and Horizontal Asymptots What you ar finding: You can b askd to find lim x "a H.A.) problm is asking you find lim x "# and lim x "$#. or lim x "±#. Typically, a horizontal asymptot algbraically,

More information

What are those βs anyway? Understanding Design Matrix & Odds ratios

What are those βs anyway? Understanding Design Matrix & Odds ratios Ral paramtr stimat WILD 750 - Wildlif Population Analysis of 6 What ar thos βs anyway? Undrsting Dsign Matrix & Odds ratios Rfrncs Hosmr D.W.. Lmshow. 000. Applid logistic rgrssion. John Wily & ons Inc.

More information

Exchange rates in the long run (Purchasing Power Parity: PPP)

Exchange rates in the long run (Purchasing Power Parity: PPP) Exchang rats in th long run (Purchasing Powr Parity: PPP) Jan J. Michalk JJ Michalk Th law of on pric: i for a product i; P i = E N/ * P i Or quivalntly: E N/ = P i / P i Ida: Th sam product should hav

More information

Einstein Equations for Tetrad Fields

Einstein Equations for Tetrad Fields Apiron, Vol 13, No, Octobr 006 6 Einstin Equations for Ttrad Filds Ali Rıza ŞAHİN, R T L Istanbul (Turky) Evry mtric tnsor can b xprssd by th innr product of ttrad filds W prov that Einstin quations for

More information

The van der Waals interaction 1 D. E. Soper 2 University of Oregon 20 April 2012

The van der Waals interaction 1 D. E. Soper 2 University of Oregon 20 April 2012 Th van dr Waals intraction D. E. Sopr 2 Univrsity of Orgon 20 pril 202 Th van dr Waals intraction is discussd in Chaptr 5 of J. J. Sakurai, Modrn Quantum Mchanics. Hr I tak a look at it in a littl mor

More information

Hospital Readmission Reduction Strategies Using a Penalty-Incentive Model

Hospital Readmission Reduction Strategies Using a Penalty-Incentive Model Procdings of th 2016 Industrial and Systms Enginring Rsarch Confrnc H. Yang, Z. Kong, and MD Sardr, ds. Hospital Radmission Rduction Stratgis Using a Pnalty-Incntiv Modl Michll M. Alvarado Txas A&M Univrsity

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 07 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat

More information

Week 3: Connected Subgraphs

Week 3: Connected Subgraphs Wk 3: Connctd Subgraphs Sptmbr 19, 2016 1 Connctd Graphs Path, Distanc: A path from a vrtx x to a vrtx y in a graph G is rfrrd to an xy-path. Lt X, Y V (G). An (X, Y )-path is an xy-path with x X and y

More information

Using Market Structure to Regulate a Vertically Integrated Monopolist

Using Market Structure to Regulate a Vertically Integrated Monopolist Using Markt Structur to Rgulat a Vrtically Intgratd Monopolist by Sang H. L and Jonathan H. Hamilton Dpartmnt ofeconomics Univrsity offlorida Gainsvill FL 32611 USA May 1998 W thank David Sappington, Sanford

More information

That is, we start with a general matrix: And end with a simpler matrix:

That is, we start with a general matrix: And end with a simpler matrix: DIAGON ALIZATION OF THE STR ESS TEN SOR INTRO DUCTIO N By th us of Cauchy s thorm w ar abl to rduc th numbr of strss componnts in th strss tnsor to only nin valus. An additional simplification of th strss

More information

CS 361 Meeting 12 10/3/18

CS 361 Meeting 12 10/3/18 CS 36 Mting 2 /3/8 Announcmnts. Homwork 4 is du Friday. If Friday is Mountain Day, homwork should b turnd in at my offic or th dpartmnt offic bfor 4. 2. Homwork 5 will b availabl ovr th wknd. 3. Our midtrm

More information

4.2 Design of Sections for Flexure

4.2 Design of Sections for Flexure 4. Dsign of Sctions for Flxur This sction covrs th following topics Prliminary Dsign Final Dsign for Typ 1 Mmbrs Spcial Cas Calculation of Momnt Dmand For simply supportd prstrssd bams, th maximum momnt

More information

1 Isoparametric Concept

1 Isoparametric Concept UNIVERSITY OF CALIFORNIA BERKELEY Dpartmnt of Civil Enginring Spring 06 Structural Enginring, Mchanics and Matrials Profssor: S. Govindj Nots on D isoparamtric lmnts Isoparamtric Concpt Th isoparamtric

More information

Brief Introduction to Statistical Mechanics

Brief Introduction to Statistical Mechanics Brif Introduction to Statistical Mchanics. Purpos: Ths nots ar intndd to provid a vry quick introduction to Statistical Mchanics. Th fild is of cours far mor vast than could b containd in ths fw pags.

More information

Brief Notes on the Fermi-Dirac and Bose-Einstein Distributions, Bose-Einstein Condensates and Degenerate Fermi Gases Last Update: 28 th December 2008

Brief Notes on the Fermi-Dirac and Bose-Einstein Distributions, Bose-Einstein Condensates and Degenerate Fermi Gases Last Update: 28 th December 2008 Brif ots on th Frmi-Dirac and Bos-Einstin Distributions, Bos-Einstin Condnsats and Dgnrat Frmi Gass Last Updat: 8 th Dcmbr 8 (A)Basics of Statistical Thrmodynamics Th Gibbs Factor A systm is assumd to

More information

Appendices * for. R&D Policies, Endogenous Growth and Scale Effects

Appendices * for. R&D Policies, Endogenous Growth and Scale Effects Appndics * for R&D Policis, Endognous Growth and Scal Effcts by Fuat Snr (Union Collg) Working Papr Fbruary 2007 * Not to b considrd for publication. To b mad availabl on th author s wb sit and also upon

More information

Homotopy perturbation technique

Homotopy perturbation technique Comput. Mthods Appl. Mch. Engrg. 178 (1999) 257±262 www.lsvir.com/locat/cma Homotopy prturbation tchniqu Ji-Huan H 1 Shanghai Univrsity, Shanghai Institut of Applid Mathmatics and Mchanics, Shanghai 272,

More information

On spanning trees and cycles of multicolored point sets with few intersections

On spanning trees and cycles of multicolored point sets with few intersections On spanning trs and cycls of multicolord point sts with fw intrsctions M. Kano, C. Mrino, and J. Urrutia April, 00 Abstract Lt P 1,..., P k b a collction of disjoint point sts in R in gnral position. W

More information

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002

ME 321 Kinematics and Dynamics of Machines S. Lambert Winter 2002 3.4 Forc Analysis of Linkas An undrstandin of forc analysis of linkas is rquird to: Dtrmin th raction forcs on pins, tc. as a consqunc of a spcifid motion (don t undrstimat th sinificanc of dynamic or

More information

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim.

COHORT MBA. Exponential function. MATH review (part2) by Lucian Mitroiu. The LOG and EXP functions. Properties: e e. lim. MTH rviw part b Lucian Mitroiu Th LOG and EXP functions Th ponntial function p : R, dfind as Proprtis: lim > lim p Eponntial function Y 8 6 - -8-6 - - X Th natural logarithm function ln in US- log: function

More information

Oligopoly Equilibria à la Stackelberg. in Pure Exchange Economies

Oligopoly Equilibria à la Stackelberg. in Pure Exchange Economies Oligopoly Equilibria à la Stacklbrg in Pur Excang Economis L.A. JLIEN & F. TRICO EconomiX, nivrsité Paris X-Nantrr Burau K6 00, avnu d la Républiqu 900 Nantrr Cédx Incomplt and prliminary vrsion 5-06-07

More information

Addition of angular momentum

Addition of angular momentum Addition of angular momntum April, 0 Oftn w nd to combin diffrnt sourcs of angular momntum to charactriz th total angular momntum of a systm, or to divid th total angular momntum into parts to valuat th

More information

Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J.

Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers Roy D. Yates and David J. Probability and Stochastic Procsss: A Frindly Introduction for Elctrical and Computr Enginrs Roy D. Yats and David J. Goodman Problm Solutions : Yats and Goodman,4.3. 4.3.4 4.3. 4.4. 4.4.4 4.4.6 4.. 4..7

More information

COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM

COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM COUNTING TAMELY RAMIFIED EXTENSIONS OF LOCAL FIELDS UP TO ISOMORPHISM Jim Brown Dpartmnt of Mathmatical Scincs, Clmson Univrsity, Clmson, SC 9634, USA jimlb@g.clmson.du Robrt Cass Dpartmnt of Mathmatics,

More information

ECE602 Exam 1 April 5, You must show ALL of your work for full credit.

ECE602 Exam 1 April 5, You must show ALL of your work for full credit. ECE62 Exam April 5, 27 Nam: Solution Scor: / This xam is closd-book. You must show ALL of your work for full crdit. Plas rad th qustions carfully. Plas chck your answrs carfully. Calculators may NOT b

More information

Deift/Zhou Steepest descent, Part I

Deift/Zhou Steepest descent, Part I Lctur 9 Dift/Zhou Stpst dscnt, Part I W now focus on th cas of orthogonal polynomials for th wight w(x) = NV (x), V (x) = t x2 2 + x4 4. Sinc th wight dpnds on th paramtr N N w will writ π n,n, a n,n,

More information

1997 AP Calculus AB: Section I, Part A

1997 AP Calculus AB: Section I, Part A 997 AP Calculus AB: Sction I, Part A 50 Minuts No Calculator Not: Unlss othrwis spcifid, th domain of a function f is assumd to b th st of all ral numbrs x for which f (x) is a ral numbr.. (4x 6 x) dx=

More information

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013

Introduction to Arithmetic Geometry Fall 2013 Lecture #20 11/14/2013 18.782 Introduction to Arithmtic Gomtry Fall 2013 Lctur #20 11/14/2013 20.1 Dgr thorm for morphisms of curvs Lt us rstat th thorm givn at th nd of th last lctur, which w will now prov. Thorm 20.1. Lt φ:

More information

Intermediate Macroeconomics: New Keynesian Model

Intermediate Macroeconomics: New Keynesian Model Intrmdiat Macroconomics: Nw Kynsian Modl Eric Sims Univrsity of Notr Dam Fall 23 Introduction Among mainstram acadmic conomists and policymakrs, th lading altrnativ to th ral businss cycl thory is th Nw

More information

Observer Bias and Reliability By Xunchi Pu

Observer Bias and Reliability By Xunchi Pu Obsrvr Bias and Rliability By Xunchi Pu Introduction Clarly all masurmnts or obsrvations nd to b mad as accuratly as possibl and invstigators nd to pay carful attntion to chcking th rliability of thir

More information

3 Finite Element Parametric Geometry

3 Finite Element Parametric Geometry 3 Finit Elmnt Paramtric Gomtry 3. Introduction Th intgral of a matrix is th matrix containing th intgral of ach and vry on of its original componnts. Practical finit lmnt analysis rquirs intgrating matrics,

More information

Differentiation of Exponential Functions

Differentiation of Exponential Functions Calculus Modul C Diffrntiation of Eponntial Functions Copyright This publication Th Northrn Albrta Institut of Tchnology 007. All Rights Rsrvd. LAST REVISED March, 009 Introduction to Diffrntiation of

More information

arxiv: v3 [cs.gt] 1 Jan 2019

arxiv: v3 [cs.gt] 1 Jan 2019 Pric of Anarchy in Ntworks with Htrognous Latncy Functions Sanjiv Kapoor and Junghwan Shin arxiv:407.299v3 [cs.gt] Jan 209 Abstract W addrss th prformanc of slfish ntwork routing in multi-commodity flows

More information

General Notes About 2007 AP Physics Scoring Guidelines

General Notes About 2007 AP Physics Scoring Guidelines AP PHYSICS C: ELECTRICITY AND MAGNETISM 2007 SCORING GUIDELINES Gnral Nots About 2007 AP Physics Scoring Guidlins 1. Th solutions contain th most common mthod of solving th fr-rspons qustions and th allocation

More information

In this lecture... Subsonic and supersonic nozzles Working of these nozzles Performance parameters for nozzles

In this lecture... Subsonic and supersonic nozzles Working of these nozzles Performance parameters for nozzles Lct-30 Lct-30 In this lctur... Subsonic and suprsonic nozzls Working of ths nozzls rformanc paramtrs for nozzls rof. Bhaskar Roy, rof. A M radp, Dpartmnt of Arospac, II Bombay Lct-30 Variation of fluid

More information

Calculus concepts derivatives

Calculus concepts derivatives All rasonabl fforts hav bn mad to mak sur th nots ar accurat. Th author cannot b hld rsponsibl for any damags arising from th us of ths nots in any fashion. Calculus concpts drivativs Concpts involving

More information

10. The Discrete-Time Fourier Transform (DTFT)

10. The Discrete-Time Fourier Transform (DTFT) Th Discrt-Tim Fourir Transform (DTFT Dfinition of th discrt-tim Fourir transform Th Fourir rprsntation of signals plays an important rol in both continuous and discrt signal procssing In this sction w

More information

Penalizing Cartels: The Case for Basing Penalties on Price Overcharge 1

Penalizing Cartels: The Case for Basing Penalties on Price Overcharge 1 Pnalizing Cartls: Th Cas for Basing Pnaltis on Pric vrcharg Yannis Katsoulacos Evgnia Motchnkova 3 David Ulph 4 Abstract In this papr w st out th wlfar conomics basd cas for imposing cartl pnaltis on th

More information

COMPUTER GENERATED HOLOGRAMS Optical Sciences 627 W.J. Dallas (Monday, April 04, 2005, 8:35 AM) PART I: CHAPTER TWO COMB MATH.

COMPUTER GENERATED HOLOGRAMS Optical Sciences 627 W.J. Dallas (Monday, April 04, 2005, 8:35 AM) PART I: CHAPTER TWO COMB MATH. C:\Dallas\0_Courss\03A_OpSci_67\0 Cgh_Book\0_athmaticalPrliminaris\0_0 Combath.doc of 8 COPUTER GENERATED HOLOGRAS Optical Scincs 67 W.J. Dallas (onday, April 04, 005, 8:35 A) PART I: CHAPTER TWO COB ATH

More information

Homework #3. 1 x. dx. It therefore follows that a sum of the

Homework #3. 1 x. dx. It therefore follows that a sum of the Danil Cannon CS 62 / Luan March 5, 2009 Homwork # 1. Th natural logarithm is dfind by ln n = n 1 dx. It thrfor follows that a sum of th 1 x sam addnd ovr th sam intrval should b both asymptotically uppr-

More information

Thus, because if either [G : H] or [H : K] is infinite, then [G : K] is infinite, then [G : K] = [G : H][H : K] for all infinite cases.

Thus, because if either [G : H] or [H : K] is infinite, then [G : K] is infinite, then [G : K] = [G : H][H : K] for all infinite cases. Homwork 5 M 373K Solutions Mark Lindbrg and Travis Schdlr 1. Prov that th ring Z/mZ (for m 0) is a fild if and only if m is prim. ( ) Proof by Contrapositiv: Hr, thr ar thr cass for m not prim. m 0: Whn

More information

cycle that does not cross any edges (including its own), then it has at least

cycle that does not cross any edges (including its own), then it has at least W prov th following thorm: Thorm If a K n is drawn in th plan in such a way that it has a hamiltonian cycl that dos not cross any dgs (including its own, thn it has at last n ( 4 48 π + O(n crossings Th

More information

5.80 Small-Molecule Spectroscopy and Dynamics

5.80 Small-Molecule Spectroscopy and Dynamics MIT OpnCoursWar http://ocw.mit.du 5.80 Small-Molcul Spctroscopy and Dynamics Fall 008 For information about citing ths matrials or our Trms of Us, visit: http://ocw.mit.du/trms. Lctur # 3 Supplmnt Contnts

More information

Computing and Communications -- Network Coding

Computing and Communications -- Network Coding 89 90 98 00 Computing and Communications -- Ntwork Coding Dr. Zhiyong Chn Institut of Wirlss Communications Tchnology Shanghai Jiao Tong Univrsity China Lctur 5- Nov. 05 0 Classical Information Thory Sourc

More information

Random Access Techniques: ALOHA (cont.)

Random Access Techniques: ALOHA (cont.) Random Accss Tchniqus: ALOHA (cont.) 1 Exampl [ Aloha avoiding collision ] A pur ALOHA ntwork transmits a 200-bit fram on a shard channl Of 200 kbps at tim. What is th rquirmnt to mak this fram collision

More information

UNIVERSITÀ DEGLI STUDI DI PADOVA. Dipartimento di Scienze Economiche Marco Fanno

UNIVERSITÀ DEGLI STUDI DI PADOVA. Dipartimento di Scienze Economiche Marco Fanno UNIVERSITÀ DEGLI STUDI DI PADOVA Dipartimnto di Scinz Economich Marco Fanno OPTIMAL MONITORING TO IMPLEMENT CLEAN TECHNOLOGIES WHEN POLLUTION IS RANDOM INÉS MACHO-STADLER Univrsitat Autònoma d Barclona

More information

Problem Set #2 Due: Friday April 20, 2018 at 5 PM.

Problem Set #2 Due: Friday April 20, 2018 at 5 PM. 1 EE102B Spring 2018 Signal Procssing and Linar Systms II Goldsmith Problm St #2 Du: Friday April 20, 2018 at 5 PM. 1. Non-idal sampling and rcovry of idal sampls by discrt-tim filtring 30 pts) Considr

More information

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter

Cramér-Rao Inequality: Let f(x; θ) be a probability density function with continuous parameter WHEN THE CRAMÉR-RAO INEQUALITY PROVIDES NO INFORMATION STEVEN J. MILLER Abstract. W invstigat a on-paramtr family of probability dnsitis (rlatd to th Parto distribution, which dscribs many natural phnomna)

More information

arxiv: v2 [q-fin.cp] 23 Mar 2018

arxiv: v2 [q-fin.cp] 23 Mar 2018 Modlling stock corrlations with xpctd rturns from invstors Ming-Yuan Yang a, Sai-Ping Li b, Li-Xin Zhong c, Fi Rn a,d,, a School of Businss, East China Univrsity of Scinc and Tchnology, Shanghai 200237,

More information

Moral Hazard in Loss Reduction and the State Dependent Utility

Moral Hazard in Loss Reduction and the State Dependent Utility Moral Hazard in Loss Rduction and th Stat Dpndnt Utility Jimin Hong Businss School Soul National Univrsity Gwanak Ro, Gwanak Gu, Soul, 5-96, Kora snpy8@snu.ac.kr S. Hun Sog Businss School Soul National

More information

Robust Bidding in First-Price Auctions:

Robust Bidding in First-Price Auctions: Robust Bidding in First-Pric Auctions: How to Bid without Knowing what Othrs ar Doing Brnhard Kasbrgr Karl Schlag Novmbr 8, 2016 Vry Prliminary and Incomplt Abstract Finding optimal bids in first-pric

More information

Robust Bidding in First-Price Auctions:

Robust Bidding in First-Price Auctions: Robust Bidding in First-Pric Auctions: How to Bid without Knowing what Othrs ar Doing Brnhard Kasbrgr Karl Schlag Fbruary 14, 2017 Vry Prliminary and Incomplt Abstract Bidding optimally in first-pric auctions

More information

2.3 Matrix Formulation

2.3 Matrix Formulation 23 Matrix Formulation 43 A mor complicatd xampl ariss for a nonlinar systm of diffrntial quations Considr th following xampl Exampl 23 x y + x( x 2 y 2 y x + y( x 2 y 2 (233 Transforming to polar coordinats,

More information

Systems of Equations

Systems of Equations CHAPTER 4 Sstms of Equations 4. Solving Sstms of Linar Equations in Two Variabls 4. Solving Sstms of Linar Equations in Thr Variabls 4. Sstms of Linar Equations and Problm Solving Intgratd Rviw Sstms of

More information

Economic analysis of e-waste market under imperfect information. Prudence Dato 1. - August, 2015-

Economic analysis of e-waste market under imperfect information. Prudence Dato 1. - August, 2015- Economic analysis of -wast markt undr imprfct information ϯ Prudnc Dato - August, 205- Abstract Dspit intrnational rgulations that prohibit th trans-boundary movmnt of lctronic and lctric wast (-wast),

More information

Data Assimilation 1. Alan O Neill National Centre for Earth Observation UK

Data Assimilation 1. Alan O Neill National Centre for Earth Observation UK Data Assimilation 1 Alan O Nill National Cntr for Earth Obsrvation UK Plan Motivation & basic idas Univariat (scalar) data assimilation Multivariat (vctor) data assimilation 3d-Variational Mthod (& optimal

More information

Complex Powers and Logs (5A) Young Won Lim 10/17/13

Complex Powers and Logs (5A) Young Won Lim 10/17/13 Complx Powrs and Logs (5A) Copyright (c) 202, 203 Young W. Lim. Prmission is grantd to copy, distribut and/or modify this documnt undr th trms of th GNU Fr Documntation Licns, Vrsion.2 or any latr vrsion

More information

The pn junction: 2 Current vs Voltage (IV) characteristics

The pn junction: 2 Current vs Voltage (IV) characteristics Th pn junction: Currnt vs Voltag (V) charactristics Considr a pn junction in quilibrium with no applid xtrnal voltag: o th V E F E F V p-typ Dpltion rgion n-typ Elctron movmnt across th junction: 1. n

More information