Online Appendix for A Simpler Theory of Capital Taxation

Size: px
Start display at page:

Download "Online Appendix for A Simpler Theory of Capital Taxation"

Transcription

1 Onlne Appendx for A Smpler Theory of Captal Taxaton Emmanuel Saez, UC Berkeley Stefane Stantcheva, Harvard July 2, Proofs of Propostons n the Text 1.1 Proofs for Secton 2 Proof of Proposton 2. We derve the optmal captal tax. The optmal labor tax s derved exactly n the same way. Consder a small reform δt (rk) n whch the margnal tax rate s ncreased by δτ n a small band from captal ncome rk to rk +d(rk), but left unchanged anywhere else. Ths reform has a mechancal revenue effect, a behavoral effect, and a welfare effect. The mechancal revenue effect above captal ncome rk s d(rk)δτ [1 H (rk)] The behavoral effect comes only from taxpayers wth captal ncome n the range [rk, rk+d(rk)]. Thanks to the lnear utlty (.e., no ncome effects), tax payers above rk do not respond to the Stantcheva: Socety of Fellows, Harvard Unversty, Cambrdge, MA 2138 (e-mal: sstantcheva@fas.harvard.edu); Saez: Unversty of Calforna, 53 Evans Hall #388, Berkeley, CA 9472 (e-mal: saez@econ.berkeley.edu). We thank Emmanuel Farh and Thomas Pketty for useful dscussons and comments. We acknowledge fnancal support from the MacArthur Foundaton, and the Center for Equtable Growth at UC Berkeley. 1

2 tax rates snce they do not face a change n ther margnal tax rate. Taxpayers n the small band have a behavoral response to the hgher margnal tax rate. They each reduce ther captal ncome by δ(rk) = e δτ /(1 T (rk)) where e s the elastcty of captal ncome rk wth respect to the net-of-tax return r(1 T (rk). As there are h (rk)d(rk) taxpayers affected by the change n margnal tax rates, the resultng loss n tax revenue s equal to: T d(rk)δτ h (rk)e (rk)rk (rk) (1 T (rk)) wth e (rk), as defned n the text, the average elastcty of captal ncome n the small band. The change n tax revenue s rebated lump-sum to all taxpayers. The value of ths lump-sum transfer to socety s g = 1 due to the absence of ncome effects (the lumpsum rebate also does not change any behavor wth lnear utlty). The welfare effect on the tax payers above rk who pay more tax δτ d(rk) s: g δτ d(rk) :rk rk Recall the defnton of the average socal margnal welfare weght above rk, Ḡ(rk), n (11) and note that: (1 H (rk))ḡ(rk) = g :rk rk g At the optmum, the sum of the mechancal revenue effect, the behavoral effect, and the welfare effect needs to be zero, whch requres that: d(rk)δτ g d [ 1 H (rk) h (rk) e (rk) rk T (rk) ] 1 T (rk) d(rk)δτ g d (1 H (rk)) Ḡ(rk) = We can dvde everythng by d(rk)δτ g d and re-arrange to obtan: T (rk) 1 T (rk) = 1 e (rk) 1 H (rk) (1 Ḡ(rk)) rk h (rk) 2

3 Usng the defnton of the local Pareto parameter α (rk) = rkh (rk)/(1 H (rk)), we obtan the captal tax formula n the proposton. The optmal margnal labor tax formula s derved n the same way, replacng captal ncome rk wth labor ncome z. Dervaton of the optmal top tax rate. Suppose we change the lnear tax rate above threshold k top. Only those wth ncomes above k top wll adjust ther captal ncome decsons. The followng three effects occur. Frst, there s a mechancal revenue collecton effect dτ [k m,top k top ] (1 H (rk top )) from every agent above k top where k m,top = E (k k k top ). Then there s a welfare effect on those wth captal ncome above rk top : :rk rk top g r(k k top ). Fnally, there s a behavoral tax revenue effect rebated lump-sum to everyone and equal to: r d(km (1 H (rk top ) d(1 τ ) dτ. d(km,top (1 H (rk top )) r d r (k m,top (1 H (rk top )) e top s defned as the elastcty of the total captal ncome of top captal ncome earners (those wth captal ncome above k top to the net of tax return. The total change n socal welfare dsw F dτ wth g = ω and g = 1. [ r g (k m,top k top )(1 H (rk top )) rτ e top ] (k m,top (1 H (rk top )) r g (k k top ) r :rk rk top s, dsw F 1 τ e top k m,top dτ 1 τ (k m,top k top ) g (k k top ) :rk rk (k top m,top k top )(1 H (rk top )) where the last term s also equal to: Note that: and ω (k k top ) :rk rk ω (k top m,top k top )(1 H (rk top )) = k m,top (k m,top k top ) = atop. Proof of Proposton 3. 3 :rk rk top ω (k k top ) :rk rk top (k k top )d

4 Let G be government revenue. The change n revenue from a change n the captal ncome tax dτ s: [ dg = rk m 1 τ e τ ] L z m e L,(1 τ ) dτ 1 τ 1 τ rk m Hence the change n socal welfare s: ( dsw F = g rk + dg ) = g ( g rk dτ dτ g + dg ) dτ Settng ths to zero and usng the defnton of ḡ = g k g k m, yelds: τ = 1 ḡ τ L e L,(1 τ ) zm rk m 1 ḡ + e whch s the optmal captal tax formula wth jont preferences and cross-elastctes. The optmal labor tax formula wth cross elastctes can be derved exactly symmetrcally. Proof of Proposton 4. The dervaton of the optmal tax on comprehensve ncome follows exactly the proof of Proposton 2 above, replacng captal ncome rk wth total ncome y. Proof of Proposton 5. The government maxmzes: SW F = ω U (c, k, z, x) wth U (c, k, z, x) = rk + z(1 τ L ) + x(τ L τ ) + τ L (z m x m ) +τ (rk m + x m ) + a (k) h (z) d (x) + δ (k nt k) The frst order condtons wth respect to τ L and τ are: ω (z m x m dz m (z x )) τ L d(1 τ L ) (τ L τ ) dxm = dτ L 4

5 ω (rk m + x m dk m (rk + x )) τ r d(1 τ ) (τ L τ ) dxm = dτ Snce x only depends on τ L τ, we have that: dx m dτ L The FOCs can be rewrtten as: z m x m ω (z x ) τ dz m d(1 τ L ) = dxm dτ = dxm d(τ L τ ). Let τ τ L τ. dx m d(τ L τ ) dz m d(1 τ L ) = τ L rk m + x m ω (rk + x ) + τ r dkm r d(1 τ ) Let us smplfy notaton a bt and denote: dx m d(τ L τ ) dkm d(1 τ ) = τ z dzm d(1 τ L ) k dk m d(1 τ ) x dx m d(τ L τ ) Takng the dfference of those two equatons, we can express τ as τ ( ( x z + 1 )) = zm x m ω (z x ) rk z rkm + x m ω (rk + x ) (1) rk Snce ( 1 + x ( 1 z + 1 rk )) >, the sgn of τ s that of the rght-hand sde of the above expresson. τ > zm x m ω (z x ) z > rkm + x m ω (rk + x ) rk Defne the dstrbutonal factor of shfted ncome, by analogy to the dstrbutonal factors ḡ and ḡ L for captal and labor ncome. ḡ X = The rght-hand sde of (1) can be rewrtten as: ω x z m RHS = 1 xm ḡ z m L + ḡ X e L 1 τ L 1 + xm z ḡ rk m ḡ m X e 1 τ rk m 5

6 Hence: τ > 1 xm ḡ z m L + ḡ X e L 1 τ L > 1 + xm z ḡ rk m ḡ m X e 1 τ Suppose that ḡ X s small enough otherwse, encouragng shftng may be good for dstrbutonal reasons. Formally, suppose that for x m >, rk m x m rk m ḡ X z m xm > and rkm z ḡ m X > We can then wrte: ( 1 τ 1 + x m τ > e > e ḡ rkm ḡ zm L ( X ) 1 τ L 1 x m ḡ z m L + ḡ X rk m ) And note that: If τ = : e = e L (1 ḡ ) (1 ḡ L ) If τ >, then x m > and e > e L (1 ḡ ) (1 ḡ L ). Conversely, f τ <, then x m < and e < e L (1 ḡ ) (1 ḡ L ). Thus: We can now rewrte the FOCs as: τ e e L (1 ḡ ) (1 ḡ L ). z m (1 xm z ḡ m L + ḡ X ) τx = z m e L 1 τ L τ L We dstngush three cases: rk m (1 + xm rk ḡ z m m ḡ X rk ) + m τx = rk m e (1 ḡ If e > e ) L (1 ḡ L, then τ > and ) τ 1 τ e L τ L < 1 xm 1 τ L z ḡ m L + ḡ X < 1 ḡ L 6

7 and n ths case: e τ > (1 + xm 1 τ rk ḡ z m m ḡ X rk ) > 1 ḡ m So that the optmal tax rates wth shftng are bracketed by ther revenue maxmzng rates. If there s no shftng, x then revenue maxmzng rates apply. If x s very large (very senstve shftng to any tax dfferental), then from equaton (1), we have that τ and hence τ L τ. Summng the FOCs and usng ths equalty yelds τ L = τ = τ Y where τ Y s the optmal lnear tax rate on comprehensve ncome derved n Proposton 4. Proof of Proposton 6. Let us compare the followng two regmes consdered n the text: Regme 1 Consumpton tax regme: ( r, T L, τ C ), wth an ntal lump-sum transfer τ C k nt /(1 τ C ) to wealth holders wth ntal wealth k nt. Regme 2 No consumpton tax regme: ( r, ˆT L, τ C = ) wth (z ˆT L (z)) = (z T L (z)) (1 τ C ). Let k denote the steady state wealth choce under ths regme. We wll show that these regmes are equvalent n the steady state, n the consumer s dynamc optmzaton problem, and n the government s revenue rased, as clamed n the text. Steady-state equvalence: The budget constrant n regme 1 s: k = [ rk + z TL (z)] c/(1 τ C ) + G, where G = τ L z m + τ rk m + t C c m s the lump-sum transfer rebate of tax revenue. The budget constrant can be rewrtten n terms of real wealth as: kr = rk r + (z T L (z)) (1 τ C ) + G (1 τ C ) c. Utlty s: u = c + a (k r ) h (z ) 7

8 The frst-order condtons of the agent are: (1 T L(z )) (1 τ C ) = h (z ), a (k r ) = δ r Gven that (1 ˆT L (z )) = (1 T L (z )) (1 τ C ) for all z, the steady-state choces of labor ncome and real captal of the agent are unaffected. Usng the steady state budget constrant, real consumpton c s also not affected as long as the real lump-sum transfer G (1 τ C ) s not affected, whch we prove rght below. The lnk between the two captal levels s: k = (1 τ C ) k (snce real steady state wealth s unaffected). Equvalence of the dynamc consumer optmzaton problem. The law of moton n real-wealth equvalent, k r = rk r +(z T L (z)) (1 τ C )+G (1 τ C ) c, s the same n regme 1 and regme 2 as long as the real lump-sum transfer (1 τ C ) G s the same, whch we show below. The ntal wealth after the lump-sum transfer τ C k nt/(1 τ C ) from the government becomes k nt + τ C k nt /(1 τ C ) = k nt /(1 τ C ), so that real wealth after the transfer s k nt, the same t was n the tax regme wthout a consumpton tax. Equvalence of government revenue. In regme 1, there s frst the ntal cost of provdng the lump-sum τ C knt /(1 τ C ) to all ntal wealth holders. At the same tme, the ntal consumpton change s taxed, whch yelds: τ C (knt k )/(1 τ C ). In real terms, ths s worth: A = τ C The nomnal tax flow per perod under ths regme s (whch s also equal to the lump-sum transfer per-perod n nomnal terms s G: k G = τ C 1 τ C c + T L (z ) + τ rk 8

9 We can express consumpton under ths regme as: c = (z T L (z ))(1 τ C ) + r(1 τ C )k + G(1 τ C ) and aggregate consumpton as: c = (1 τ C ) (z T L (z )) + r(1 τ C ) k + G(1 τ C ) Solvng for G usng the defnton of G and the expresson for aggregate consumpton yelds: G = T L (z ) + τ C 1 τ C ( z + r k ) + 1 τ rk 1 τ C In real terms, revenue s: (1 τ C ) G = (1 τ C ) T L (z ) + τ C z + τ C r k + τ rk In Regme 2, the (real) revenue s: ˆT L (z ) + τ r k Usng the map between the labor ncome taxes: (z ˆT L (z)) = (z T L (z)) (1 τ C ), we obtan that the real revenue n Regme 2 s: (τ C z + T L (z) (1 τ C )) + τ r k The dfference between the per-perod real revenue n regme 1 and that n regme 2 s hence: τ C rk. Recall that the ntal change n revenue n regme 1 was A = τ C k, whch, converted nto a per-perod equvalent s exactly A r = τ C rk and cancels out perfectly the change n per-perod revenue between the two regmes. 9

10 1.2 Proofs for Secton Generalzed Model Proof of Proposton 8 The steady state s characterzed by: u k /u c = δ r(1 T ), u c (1 T L ) = u z and c = rk + z T (z, rk ) Wth lnear taxes, ths smplfes to: u k /u c = δ r, u c (1 τ L ) = u z and c = rk + z (1 τ L ). Frst, consder the case wth exogenous labor ncome. Let us assume that the economy has converged to steady state wth τ and we consder a small reform dτ that takes place at tme and s unantcpated. Let us denote by e (t) the elastcty of aggregate k m (t) wth respect to 1 τ. e (t) converges to e from the orgnal analyss (the steady state elastcty). Usng the envelope theorem (.e., behavoral responses dk t can be gnored when computng dv ), the effect on the welfare of agent s V s: dv = dτ δ [ u c (c (t), k (t))rk m (t) e δ t τ 1 τ In the steady state, k m (t) and c (t), k (t) are tme-constant so that: dv = dτ rk m [u c (c, k ) u c (c, k ) k k τ δ m u c (c, k ) 1 τ The change n socal welfare s hence: dsw F = ω dv = u c (c (t), k (t))rk (t) e δ t u c (c (t), k (t))rk m (t)e t e δ t dt] e t e δ t dt] dτ rk m ω [u c (c, k ) u c (c, k ) k k τ δ m u c (c, k ) 1 τ Recall the normalzaton of socal welfare weghts: ω u c = 1 and g = ω u c. dsw F 1 g k k τ m 1 τ δ g e t e δt dt e t e δ t dt] 1

11 Wth endogenous labor supply, the change n agent s welfare, dv : dv = dτ δ [ u c (c (t), k (t), z (t))rk m (t) e δ t τ 1 τ τ L 1 τ u c (c (t), k (t), z (t))rk (t) e δ t u c (c (t), k (t), z (t))rk m (t)e (t) e δ t dt u c (c (t), k (t), z (t))e L,1 τ (t)z m (t)e δ t dt] In the steady state, k m (t), c (t), z (t), and k (t) are tme-constant and labor ncome adjusts mmedately so that e L,1 τ = e L,1 τ so that the change n agent s utlty s hence: τ δ u c (c, k, z ) 1 τ and the change n socal welfare s: τ dv = dτ rk m [u c (c, k.z ) u c (c, k, z ) k e (t) e δ t dt k m τ L 1 τ u c (c, k, z ) zm rk m e L,1 τ ] dsw F = ω dv = dτ rk m ω [u c (c, k, z ) u c (c, k, z ) k δ u c (c, k, z ) 1 τ e (t) e δ t dt k m τ L 1 τ u c (c, k, z ) zm rk m e L,1 τ ] Usng the normalzaton of socal welfare weghts: ω u c = 1 and g = ω u c. dsw F 1 g k k τ m 1 τ whch yelds the formula n the text. δ g e (t) e δt dt τ L 1 τ z m rk m e L,1 τ Proof of Proposton 9 We consder the top tax rate τ on captal above threshold k top. Suppose we change the top tax rate on captal by dτ. Let N denote the mass of ndvduals above k top,.e., N = P rob(rk (t) rk top ). We agan 11

12 use the notaton k m,top to denote the average wealth above the top threshold,.e.: k m,top = :rk (t) rk top rk P rob(rk (t) rk top ) Let e top (t) be the elastcty of captal holdng of top captal earners (the wealth elastcty of total wealth to the tax rate of those wth captal ncome above rk top ),.e.,: (t) = d(nkm,top ) r d r (Nk m,top ) e top For all agents above the cutoff, the change n utlty s: dv = dτ δ [ u c (c (t), k (t))nr(k m,top (t) k top ) e δ t τ 1 τ Startng from the steady state, captal levels are constant so that: [ dv = u c r(k m,top k top )Ndτ 1 (k k top ) (k m,top k top )N τ a top 1 τ where a top = k m,top (k m,top k top ). Let For agents below the cutoff, the change n utlty s: [ dv = u c r(k m,top k top )Ndτ 1 τ a top 1 τ The change n socal welfare s such that: u c (c (t), k (t))r(k (t) k top ) e δ t u c (c (t), k (t))nrk m,top (t)e top (t) e δ t dt] (k k top ) dsw F 1 g :k k (k top m,top k top )N τ α g δ 1 τ ] δ e top (t) e δ t dt ] δ e top (t) e δ t dt e top (t) e δ t dt ḡ top :k k top g (k k top ) (k m,top k top )N and ētop g δ e top (t) e δ t dt 12

13 τ = 1 ḡ top 1 ḡ top + α ē top Wth endogenous labor, let e L,(1 τ )(t) = dzm (t) (1 τ ) d(1 τ ) z m (t) = dzm (t) d r r z m (t) be the elastcty of aggregate (average) labor ncome z m wth respect to the top captal tax rate, n the two bracket tax system. Not everyone s affected by ths tax change, dependng on the jont dstrbuton of captal and labor ncome. e L,(1 τ ), s constant over tme startng from the steady state. For all agents wth captal ncome above the cutoff: dv = dτ δ [ τ L 1 τ u c (c (t), k (t), z (t))r(k (t) k top ) e δt 1 τ τ u c (c (t), k (t), z (t))nr(k m,top (t) k top ) e δ t u c (c (t), k (t), z (t))z m (t)e L,(1 τ )(t) e δ t u c (c (t), k (t), z (t))nrk m,top (t)e top (t) e δ t dt] Startng from the steady state, captal ncome, labor ncome, as well as the elastcty of labor ncome to the top captal tax rate are constant over tme: dv = u c Nr(k m,top k top )dτ [1 (k k top ) (k m,top k top )N τ L z m 1 τ r(k m,top k top )N e L,(1 τ ) The change n socal welfare s: τ a top 1 τ (k k top ) dsw F = ω dv 1 g :rk rk (k top m,top k top )N τ L z m e L,(1 τ ) 1 τ r(k m,top k top )N τ a top g δ e top 1 τ (t) e δ t dt] δ e top (t) e δ t dt] 13

14 ē top Defne: g δ e top (t) e δ t dt ḡ top = :rk rk top g (k k top ) (k m,top k top )N = :rk rk top g (k k top ) :rk rk top (k k top ) The optmal tax rate takes the form: τ top = 1 ḡtop τ L 1 ḡ top z m e r(k m,top k top )N L,(1 τ ) + αtop ētop = 1 ḡtop τ L z m e r(k m,top k top )(1 H (rk top )) L,(1 τ ) 1 ḡ top + atop ētop Ayagar (1995) Model wth and wthout antcpaton effects Note that all proofs below would be exactly the same as the proofs for wealth-n-the-utlty f we reformulated t n dscrete tme, replacng the standard utlty wthout wealth n the utlty, u t (c t ), by u t (c t, k t ). Ths s done by lettng u t denote u t(c t,k t ) c t nstead of u t(c t ) c t. We apply the envelope theorem, whch states that the changes n the captal tax rate dτ only has a drect mpact on utlty through the drect reducton n consumpton that t causes. Usng ths, and takng the dervatve of the socal welfare SW F wth respect to dτ yelds: dsw F = t<t ( 1 ) t τ = dτ ( (1 τ ) t<t + ( ) t 1 ( [ τ = dτ (1 τ ) ω u t (τ rdkt m ) + [ ( ) t 1 rkt m e t ω u t r(kt m k t )) t ( ) t 1 ω u t (rdτ (kt m k t ) + τ rdkt m ) ω u t + ( ) t ] 1 rkt m e t ω u t ( ) t ] 1 rkt m e t ω u t ( ) t ) 1 ω u t r(kt m k t ) If varable have already converged to ther ergodc paths when the antcpaton responses start: then all terms n e t are zero before the steady state has been reached and hence, we can dvde through by ω u tk m t = g k m t whch s constant across t. Thus: 14

15 dsw F τ (1 τ ) ( δ t<t ( ) t T 1 e t + δ ( ) t T 1 e t) 1 + g k t g kt m Defne the antcpaton responses e ante, the post-reform response epost, and the total response ē to be: e ante = δ t<t ( ) t T 1 e t, e post = δ and the dstrbutonal factor ḡ = g k t g k m t tax n the Ayagar (1995) model s gven by: ( ) t T 1 e t and ē = e ante + e post. Then we have as n the text that the optmal captal τ = 1 ḡ 1 ḡ + ē For the unantcpated reform at tme T = that s studed n the text, assume that the economy s already n the steady state as of tme, and set e ante ē = δ t ( ) t 1 e t = so that: If varable have not converged to ther ergodc paths when the antcpaton responses start: we have to take nto account the transton of the margnal utltes and the captal stock across tme. dsw F = dτ ( τ (1 τ ) [ t 1 ( ) t ] 1 rkt m e t ω u t ( ) t ) 1 ω u t r(kt m k t ) 15

16 Dvdng by dsw F ( 1 ) t ω 1+δ u t kt m τ (1 τ ) [ t 1 yelds: ( ) t 1 k m 1 + ( 1 t e t ( 1 1+δ ) t Now we have to redefne the average welfare weght as: and the total elastcty as: ḡ ē = t 1 ( 1 ( ) t 1 k m ) t t e t u t k t ) t ( 1 1+δ Wth these redefned varables, the same formula holds. ( 1 1+δ ω u t ) t ω u t km t ω u t k t ) t ( 1 1+δ u t km t u t ) t u t km t ω u t km t ] Judd (1985) Model In the Judd (1985) model, ndvdual utlty s: V ({c (t), z (t), k (t)} t ) = u (c (t), k (t), z (t))e t δ (c (s))ds dt The effect on V from a small change n the captal tax dτ s now: dv = dτ [ ( u c (c (t), k (t), z (t))e t δ (c (s))ds + δ (c (t)) [rk m (t) rk (t) t ) u (s)e s δ (c (m))dm ds τ 1 τ rk m (t)e (t)]] 16

17 In the steady state dv = dτ r[ ( u c e δ (c )t + δ (c )u e δ (c )t ) e δ (c )(s t) ds [k m (t) k (t) τ k m (t)e (t)]] t 1 τ ) = dτ r[ (u c e δ (c )t + δ (c )u e δ (c )t 1 [k m (t) k (t)] δ (c ( ) u c e δ (c )t + δ (c )u e δ (c )t e δ (c )t τ ds k m (t)e (t)] 1 τ = dτ rk m 1 ( ) [ u c + δ (c ) δ (c ) δ (c ) u 1 k k τ ] δ m (c ) e δ (c )t e (t) 1 τ We can hence see that the formulas from our model apply but that g = ( ) 1 ω δ (c u ) c + δ (c ) u δ (c ) ( ) and ē = g δ (c ) 1 δ (c u ) c + δ (c ) u δ (c ) ω e δ (c )t e (t) 2 Antcpated Reforms n the Generalzed Model In ths secton, we extend our analyss from the man text Secton 4 to consder antcpated reforms. Suppose that an antcpated reform to the captal ncome tax dτ happens at tme T >. Captal and labor already start adjustng n antcpaton of the reform before tme T. The change n the utlty of ndvdual s: dv = dτ δ [ T u c (c (t), k (t))rk m (t) e δ t τ 1 τ T u c (c (t), k (t))rk (t) e δ t u c (c (t), k (t))rk m (t)e (t) e δ t dt] In the steady state, k m (t) and c (t), k (t) are tme-constant. Assume that T s large enough so that the antcpatory responses only start when the economy s already n the steady state. In ths case, all terms n e (t) are zero before the steady state, so we can wrte: 17

18 dv = dτ rk m e δ T [u c (c, k ) u c (c, k ) k k τ δ m u c (c, k ) 1 τ τ δ u c (c, k ) 1 τ t<t e (t) e δ (t T ) dt e (t) e δ (t T ) dt] We also assume here that the dscount rates are the same across all agents. g = u cω = 1. k 1 g k τ m 1 τ k = 1 g k m g δ t<t τ 1 τ δ e (t) e δ(t T ) dt e (t) e δ(t T ) dt t<t Defne the dstrbutonal factor ḡ = g k k m elastcty e post e ante Then: and the total elastcty ē to be: τ δ 1 τ g τ 1 τ δ Use that dsw F = ω dv e (t) e δ(t T ) dt] e (t) e δ(t T ) dt and the antcpaton elastcty e ante, the post = δ e (t) e δ(t T ) dt, e post = δ e (t) e δ(t T ) dt and ē = e ante + e post t<t τ = 1 ḡ 1 ḡ + ē Our formulas hence apply exactly (can menton t n the text), but the total elastcty ē now contans antcpaton effects as well. Ths formula s derved under the assumptons that T s large, the antcpaton responses start happenng only after the economy has already converged to ts steady state, and dscount rates are homogeneous across agents. Endogenous Labor Supply wth Antcpaton Effects The antcpaton effects through the cross-elastctes can also start before the reform. The assumpton needed s agan that those antcpaton effects only start once the economy has 18

19 already converged to ts steady state path. In ths case, the formula looks as n the text wth cross-elastctes. 2.1 Steady State and Antcpaton Elastctes We now prove two further results. Steady state elastctes are fnte wth wealth n the utlty. Wth a general utlty and wealth n the utlty, the frst-order condton for agent n the steady state s: u k = (δ r)u c In the steady state, the budget constrant s: c = rk + z hence the steady state can be rewrtten as: (δ r)u c ( rk + z, k ) = u k ( rk + z, k ) whch s a smooth functon of k, as long as the functon u (c, k ) s smooth and concave n consumpton and captal. Hence, the responses of consumpton and captal to the net-of-tax return r are smooth and non-degenerate. The same argument holds wth endogenous labor supply, whch s chosen smoothly. Antcpaton elastctes are nfnte wth wealth n the utlty and certanty, but fnte wth uncertanty (wth or wthout wealth n the utlty). We can also show that the antcpaton elastctes to a reform dτ for t T s nfnte when there s full certanty, even wth wealth n the utlty. The proof s as n Pketty and Saez (213) for the Chamley-Judd model (wthout wealth n the utlty). Wth full certanty, the frst-order condton of the agent wth respect to captal always holds: u c,t = (1 + r)/( )u c,t+1 + 1/( )u k,t+1 Suppose we start from a stuaton n a well-defned steady state: (δ r)u c = u k where we 19

20 have perfect consumpton smoothng. The ntertemporal budget constrant s: t Consumpton smoothng mples: ( ) t 1 c t + lm 1 + r k t = ( ) t 1 z t + k t 1 + r t u c ( rk + z, k ) = λ for the multpler λ on the budget constrant. Hence, k = lm t k t >. Gven that there s perfect consumpton smoothng, usng the budget constrant to solve for consumpton yelds: ( c = 1 1 ) ( ( ) ) t 1 z t + k k 1 + r 1 + r t (2) Consder what happens f the captal tax rate ncreases by dτ > for t T. The present dscounted value of all resources, denoted by Y for agent s: Y = k + T t=1 ( r ) t z t + ( ) t 1 z t 1 + r The change n resources evaluated at τ = s: dy = ( ) T 1 ( ) t T +1 ( ) T 1 1 t z tdτ dτ (1 + r) (1 + r) (1 + r) ( T 1 Hence, consumpton pre-reform wll shft down by a factor proportonal to (1+r)) dτ. From the aggregated budget constrant we have that: k m t = (1 + r) t k m c m (1 + (1 + r) + (1 + r) (1 + r) t 1 ) + (z m t (1 + r) t 1 z m ) 2

21 Therefore, the change n the aggregate captal stock s: ( ) (1 + r) t 1 1 dk m t = dc m r ( T 1 Recall that the change n consumpton (from (2)) s proportonal to (1+r)) dτ. Hence: dk m t ( 1 (1 + r) ) T ( (1 + r) t 1 1 r ) ( ) (1 + r) dτ = (1 + r) T t 1 1 dτ r Hence: ( ) (1 + r) e t kt m (1 + r) T t 1 1 dτ r Recall that the antcpaton elastcty e ante e ante = δ t<t ( ) t T 1 e t δ s defned as: t<t ( ) t T ( ) 1 (1 + r) kt m (1 + r) T t 1 1 dτ r Snce we have δ > r, lm T ( 1+δ 1+r) T =, whch makes the sum above (to whch the antcpaton elastcty s proportonal) converge to nfnty when T goes to nfnty. 3 Optmal Taxaton wth Horzontal Equty Concerns. In ths secton, we formally consder optmal captal and labor taxaton under horzontal equty concerns. As derved n Secton 2.3.4, the optmal revenue-maxmzng rates are: τ R L = 1 1+e L and τ R = 1 1+e. Wthout loss of generalty, we suppose that captal s more elastc so that τ R < τ R L. The optmal lnear comprehensve tax on ncome s, as derved n (16): τ Y = 1 ḡ Y 1 ḡ Y + e Y wth ḡ Y = g y y Suppose that the dstrbuton of captal and labor ncome s dense enough, so that at every total ncome level y = rk + z, there are agents wth y = rk (captal ncome only) and y = z 21

22 (labor ncome only). Generalzed socal welfare weghts that capture horzontal equty concerns are such that: () If τ L = τ, then g are standard, for nstance g = u c for all agents. Any reform that changes taxes should put zero weght on those who after the reform are such that τ L z +τ rk < max j {τ L z j + τ rk j z j + rk j = z + rk },.e., on those who pay less taxes at a gven total ncome y = rk + z, or, equvalently, have the hghest dsposable ncome and consumpton at any ncome. Ths means that f labor taxes are ncreased, g = for those wth any postve captal ncome at each total ncome level. Conversely, ncreasng captal taxes wll yeld g = for those ndvduals wth some labor ncome at each total ncome level. () If τ L > τ, then all the socal welfare weghts are concentrated on those wth τ L z + τ rk > max j {τ L z j + τ rk j z j + rk j = z + rk },.e., on those agents wth only labor ncome. Conversely, f τ L < τ, all the socal welfare weghts are on agents wth only captal ncome. Suppose that, startng from a stuaton wth τ L = τ we ntroduce a small tax break on captal ncome, dτ <. Captal ncome earners now get an unfar advantage and all the weght s concentrated on those wth no captal ncome (equvalently, everyone wth k > receves a weght g = ). As a result, a small tax break on captal can only be optmal f t rases tax revenue and, hence, allows to lower the tax rate on labor ncome as well. Ths can only occur f τ Y > τ R,.e., the optmal comprehensve tax rate s above the revenue-maxmzng rate on captal ncome. Proposton 1. Optmal labor and captal taxaton wth horzontal equty concerns. () If τ Y τ R, taxng labor and captal ncome at the same comprehensve rate τ L = τ = τ Y s the unque optmum. () If τ Y > τ R, a dfferental tax system wth the captal tax rate set to the revenue maxmzng rate τ = τ R < τ L (wth both τ and τ L smaller than τ Y ) s the unque optmum. Proof. Let us consder the two cases n turn. () If τ Y τ R. 22

23 To see why τ L = τ = τ s an equlbrum, suppose that we tred to lower the tax rate on captal ncome. Then, all the weght wll concentrate on people wth only labor ncome, whch wll then n turn make t optmal to ncrease the tax on captal agan. Ths equlbrum s unque. There s no other equlbrum wth equal taxes on captal and labor that can rase more revenue wth a lower tax rate, by defnton of τ Y as the optmal rate on comprehensve ncome. There s also no equlbrum wth non-equal tax rates on captal and labor. Suppose that we tred to set (wthout loss of generalty) τ < τ L. Then to rase enough revenue we would requre that τ < τ Y < τ L. Snce captal owners are now advantaged, all the socal welfare weght concentrates on people wth only labor ncome. Snce then a fortor τ < τ R, ncreasng τ would mean that more revenue would be rased, whch would allow us to lower τ L, whch s good snce all weght s on people wth only labor ncome. () If τ Y > τ R. In ths case, the equlbrum has τ = τ R < τ Y and τ Y > τ L > τ R. Clearly ths s an equlbrum snce we cannot decrease τ L wthout losng revenue and we cannot rase more revenue through τ (snce t s already set at the revenue-maxmzng rate for the captal tax base). In addton, we cannot decrease τ further wthout ncreasng τ L, whch s not desrable snce t would beneft people captal ncome earners, who already receve a weght of zero. Ths equlbrum s also unque. If we set τ L = τ equal, we should set them equal to τ Y whch s the optmal tax rate on comprehensve ncome. But then, snce τ s now above ts revenue maxmzng rate, we could lower both τ and τ L wthout losng revenues, so ths would not be an equlbrum. On the other hand, as long as we set τ < τ L, captal ncome earners get zero weght and the only possblty s to go all the way to τ = τ R only labor ncome have a non-zero weght. snce only people wth As a result, horzontal equty concerns wll be a force pushng towards the comprehensve ncome tax system derved n Secton In the text, we provded an effcency argument n favor of a tax on comprehensve ncome (based on ncome shftng opportuntes) whle the argument here s based on equty consderatons. Wth horzontal equty preferences, devatons 23

24 from a comprehensve ncome tax system can only be justfed f they rase more revenue and generate a Pareto-mprovement, whch drastcally reduces the scope for them. In Saez and Stantcheva (216) we argue that ths s akn to a generalzed Rawlsan prncple whereby dscrmnaton aganst some groups (e.g., captal owners versus labor provders) s only permssble f t makes the group dscrmnated aganst better off,.e., f t generates a Pareto mprovement. 3.1 Horzontal Equty wth Nonlnear Taxaton The same reasonng as for lnear taxaton wth horzontal equty also apples to nonlnear taxes. Startng from a comprehensve tax system T Y (z + rk) as derved n Secton 2.3.4, lowerng the tax rate on captal ncome, condtonal on a gven total ncome level, wll generate a horzontal nequty and concentrate all socal weght on those wth no captal ncome condtonal on that total ncome level. Such a preferental tax break for captal ncome earners wll only be acceptable f t generates more revenue and allows to lower the tax rate on labor ncome as well. We show ths below. Formally, suppose that we start from the optmal tax on comprehensve ncome, T Y (rk + z), as derved n Secton whch does not dscrmnate between captal and labor ncome condtonal on total ncome. We say that a tax system unambgously favors captal (respectvely, labor) at ncome level y = rk + z, f for any (rk, z) such that y = rk + z, and any ε ], z], T Y (rk, z) > T (rk + ε, z ε) (havng more captal ncome, condtonal on a gven total ncome leads to lower taxes). (Note that t may be the case that a tax system favors captal only at some y levels or only at some rk, z ranges.. ) Denote a change n the tax by δt (rk, z). A devaton δt (rk, z) s sad to ntroduce horzontal nequty, f, startng from a comprehensve tax system T Y (rk + z), the resultng tax system T Y (z + rk) + δt (rk.z) cannot be expressed as T Y (rk + z) for some functon T Y. Wth nonlnear taxes, we can agan defne the generalzed socal welfare weghts as follows. ) If there s a comprehensve tax T Y (z + rk), then everybody has standard weghts, such as, for nstance, g = u c. For any devaton δt (rk, z) that ntroduces horzontal nequty, the 24

25 weghts concentrate on the agents who pay the hghest tax at a gven total ncome level,.e., on those wth T Y (z + rk ) + δt (rk, z ) = max j {T Y (z j + rk j ) + δt (rk j, z j ) z j + rk j = rk + z } (whch s equvalent to puttng all the weght on the agent(s) wth lowest dsposable ncome at any total ncome level). Hence, the weghts also need to depend on δt (z, rk), the drecton of the tax reform. ) If the tax s such that T (rk, z) cannot be expressed as T Y (rk + z) for some functon T Y, then the weghts concentrate on those wth T (z, rk ) = max j {T (z j, rk j ) z j + rk j = rk + z },.e., on the agents whch pay the hghest tax (equvalently, have the lowest dsposable ncome) condtonal on total ncome. Equlbra: Suppose that, at the comprehensve tax rate, no small reform δt (rk.z) that ntroduces horzontal equty and favors captal (accordng to our defntons above) can ncrease total tax revenues,.e., for all δt (rk, z) that favor captal and ntroduce horzontal nequty, the alternatve tax system T (rk, z) = T (rk + z) + δt (rk, z) s such that: T Y (rk (T ) + z (T ))d > T Y (rk ( T ) + z ( T ))d where naturally, the choces z (T ) and k (T ) depend on the tax system T. Then the unque equlbrum has the comprehensve tax system n place, as derved n No horzontal nequty can be an equlbrum unless t ntroduces a Pareto mprovement. Suppose on the other hand that f the revenue maxmzng tax rate on captal, T R(rk) were mplemented, and a labor ncome tax T L (z) was used to complement t, more revenue could be rased than wth the tax on comprehensve ncome T Y (rk, z) and the tax burden on all agents would be lower than under the comprehensve ncome tax. Then, the optmum s to set dfferental taxes on captal and labor ncome, wth the captal tax at ts optmal revenue-maxmzng schedule. Horzontal nequty s an equlbrum because t generates a Pareto mprovement. 25

26 4 Progressve Consumpton Taxes The progressve consumpton tax s defned on an exclusve bass as t C (.) such that k = rk + z [c + t c (c)] Equvalently, we can agan defne the nclusve consumpton tax T C (y) on pre-tax resources y devoted to consumpton such that c+t c (c) = y s equvalent to c = y T C (y),.e., y y T C (y) s the nverse functon of c c + t c (c) and hence 1 + t C = 1/(1 T C ). The case of a progressve consumpton tax s most easly explaned wth nelastc labor ncome (possbly heterogenous across ndvduals). Real wealth k r n the presence of the progressve consumpton tax s: k r (k) = k T C( rk + z) T C (z) r Recall that real wealth s defned as nomnal wealth adjusted for the prce of consumpton. There are to see why the above s the rght expresson. Frst, wealth k provdes an ncome stream rk whch translates nto extra permanent consumpton equal to the ncome mnus the tax pad on the extra consumpton rk [T C ( rk+z) T C (z)] whch can be captalzed nto wealth k r by dvdng by r. If labor ncome s heterogeneous across agents, then k r (k, z) should also be ndexed by z. Another way to see ths s to ask what the captal k r would be that would yeld the same dsposable ncome as the nomnal captal under the consumpton tax. Dsposable ncome n terms of real captal k r s rk r T C (z). Dsposable ncome expressed n terms of nomnal captal s: rk T C ( rk + z). These two must be equal, whch yelds the expresson for k r above. k r has three natural propertes: wth no consumpton tax, real and nomnal wealth are equal, dk r /dk = 1 T C,.e., and extra dollar of nomnal wealth s worth 1 T C k r () =. In that case, we have n steady-state n real terms, and c = rk + z T C ( rk + z) = rk r + z T C (z) 26

27 and the frst order condton for utlty maxmzaton s a (k r ) = δ r. Hence, real captal s chosen to satsfy the same condton as nomnal captal when there s no consumpton tax. Put dfferently, any consumpton tax wll be undone by agents n terms of ther savngs and wll have no effect on the real value of ther wealth held (and, hence, by defnton of the real wealth, on ther purchasng power). Hence, the consumpton tax s equvalent to a tax on labor ncome only. The equvalence s not exact wth elastc labor supply, as n that case, the margnal consumpton tax depends on the labor choce and the frst-order condton for labor ncome s h (z) = 1 T C ( rk + z) + a (k r )[T C ( rk + z) T C (z)]/ r. 27

28 References Ayagar, Rao, Optmal Captal Income Taxaton wth Incomplete Markets, Borrowng Constrants, and Constant Dscountng, Journal of Poltcal Economy, 1995, 13 (6), Judd, enneth L, Redstrbutve taxaton n a smple perfect foresght model, Journal of publc Economcs, 1985, 28 (1), Pketty, Thomas and Emmanuel Saez, A Theory of Optmal Inhertance Taxaton, Econometrca, 213, 82 (4), Saez, Emmanuel, Usng elastctes to derve optmal ncome tax rates, The revew of economc studes, 21, 68 (1), and Stefane Stantcheva, Generalzed Socal Margnal Welfare Weghts for Optmal Tax Theory, Amercan Economc Revew, 216, 16 (1),

Online Appendix for A Simpler Theory of Optimal Capital Taxation by Emmanuel Saez and Stefanie Stantcheva

Online Appendix for A Simpler Theory of Optimal Capital Taxation by Emmanuel Saez and Stefanie Stantcheva Onlne Appendx for A Smpler Theory of Optmal Captal Taxaton by Emmanuel Saez and Stefane Stantcheva A. Antcpated Reforms Addtonal Results Optmal tax wth antcpated reform and heterogeneous dscount rates

More information

Economics 2450A: Public Economics Section 10: Education Policies and Simpler Theory of Capital Taxation

Economics 2450A: Public Economics Section 10: Education Policies and Simpler Theory of Capital Taxation Economcs 2450A: Publc Economcs Secton 10: Educaton Polces and Smpler Theory of Captal Taxaton Matteo Parads November 14, 2016 In ths secton we study educaton polces n a smplfed verson of framework analyzed

More information

1 The Sidrauski model

1 The Sidrauski model The Sdrausk model There are many ways to brng money nto the macroeconomc debate. Among the fundamental ssues n economcs the treatment of money s probably the LESS satsfactory and there s very lttle agreement

More information

Mixed Taxation and Production Efficiency

Mixed Taxation and Production Efficiency Floran Scheuer 2/23/2016 Mxed Taxaton and Producton Effcency 1 Overvew 1. Unform commodty taxaton under non-lnear ncome taxaton Atknson-Stgltz (JPubE 1976) Theorem Applcaton to captal taxaton 2. Unform

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

Supporting Information for: Two Monetary Models with Alternating Markets

Supporting Information for: Two Monetary Models with Alternating Markets Supportng Informaton for: Two Monetary Models wth Alternatng Markets Gabrele Camera Chapman Unversty & Unversty of Basel YL Chen St. Lous Fed November 2015 1 Optmal choces n the CIA model On date t, gven

More information

Supporting Materials for: Two Monetary Models with Alternating Markets

Supporting Materials for: Two Monetary Models with Alternating Markets Supportng Materals for: Two Monetary Models wth Alternatng Markets Gabrele Camera Chapman Unversty Unversty of Basel YL Chen Federal Reserve Bank of St. Lous 1 Optmal choces n the CIA model On date t,

More information

Lecture Notes, January 11, 2010

Lecture Notes, January 11, 2010 Economcs 200B UCSD Wnter 2010 Lecture otes, January 11, 2010 Partal equlbrum comparatve statcs Partal equlbrum: Market for one good only wth supply and demand as a functon of prce. Prce s defned as the

More information

Equilibrium with Complete Markets. Instructor: Dmytro Hryshko

Equilibrium with Complete Markets. Instructor: Dmytro Hryshko Equlbrum wth Complete Markets Instructor: Dmytro Hryshko 1 / 33 Readngs Ljungqvst and Sargent. Recursve Macroeconomc Theory. MIT Press. Chapter 8. 2 / 33 Equlbrum n pure exchange, nfnte horzon economes,

More information

Online Appendix. t=1 (p t w)q t. Then the first order condition shows that

Online Appendix. t=1 (p t w)q t. Then the first order condition shows that Artcle forthcomng to ; manuscrpt no (Please, provde the manuscrpt number!) 1 Onlne Appendx Appendx E: Proofs Proof of Proposton 1 Frst we derve the equlbrum when the manufacturer does not vertcally ntegrate

More information

PROBLEM SET 7 GENERAL EQUILIBRIUM

PROBLEM SET 7 GENERAL EQUILIBRIUM PROBLEM SET 7 GENERAL EQUILIBRIUM Queston a Defnton: An Arrow-Debreu Compettve Equlbrum s a vector of prces {p t } and allocatons {c t, c 2 t } whch satsfes ( Gven {p t }, c t maxmzes βt ln c t subject

More information

Economics 8105 Macroeconomic Theory Recitation 1

Economics 8105 Macroeconomic Theory Recitation 1 Economcs 8105 Macroeconomc Theory Rectaton 1 Outlne: Conor Ryan September 6th, 2016 Adapted From Anh Thu (Monca) Tran Xuan s Notes Last Updated September 20th, 2016 Dynamc Economc Envronment Arrow-Debreu

More information

Perfect Competition and the Nash Bargaining Solution

Perfect Competition and the Nash Bargaining Solution Perfect Competton and the Nash Barganng Soluton Renhard John Department of Economcs Unversty of Bonn Adenauerallee 24-42 53113 Bonn, Germany emal: rohn@un-bonn.de May 2005 Abstract For a lnear exchange

More information

Online Appendix: Reciprocity with Many Goods

Online Appendix: Reciprocity with Many Goods T D T A : O A Kyle Bagwell Stanford Unversty and NBER Robert W. Stager Dartmouth College and NBER March 2016 Abstract Ths onlne Appendx extends to a many-good settng the man features of recprocty emphaszed

More information

k t+1 + c t A t k t, t=0

k t+1 + c t A t k t, t=0 Macro II (UC3M, MA/PhD Econ) Professor: Matthas Kredler Fnal Exam 6 May 208 You have 50 mnutes to complete the exam There are 80 ponts n total The exam has 4 pages If somethng n the queston s unclear,

More information

A NOTE ON CES FUNCTIONS Drago Bergholt, BI Norwegian Business School 2011

A NOTE ON CES FUNCTIONS Drago Bergholt, BI Norwegian Business School 2011 A NOTE ON CES FUNCTIONS Drago Bergholt, BI Norwegan Busness School 2011 Functons featurng constant elastcty of substtuton CES are wdely used n appled economcs and fnance. In ths note, I do two thngs. Frst,

More information

Welfare Properties of General Equilibrium. What can be said about optimality properties of resource allocation implied by general equilibrium?

Welfare Properties of General Equilibrium. What can be said about optimality properties of resource allocation implied by general equilibrium? APPLIED WELFARE ECONOMICS AND POLICY ANALYSIS Welfare Propertes of General Equlbrum What can be sad about optmalty propertes of resource allocaton mpled by general equlbrum? Any crteron used to compare

More information

Appendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis

Appendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis A Appendx for Causal Interacton n Factoral Experments: Applcaton to Conjont Analyss Mathematcal Appendx: Proofs of Theorems A. Lemmas Below, we descrbe all the lemmas, whch are used to prove the man theorems

More information

Kernel Methods and SVMs Extension

Kernel Methods and SVMs Extension Kernel Methods and SVMs Extenson The purpose of ths document s to revew materal covered n Machne Learnng 1 Supervsed Learnng regardng support vector machnes (SVMs). Ths document also provdes a general

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

University of California, Davis Date: June 22, 2009 Department of Agricultural and Resource Economics. PRELIMINARY EXAMINATION FOR THE Ph.D.

University of California, Davis Date: June 22, 2009 Department of Agricultural and Resource Economics. PRELIMINARY EXAMINATION FOR THE Ph.D. Unversty of Calforna, Davs Date: June 22, 29 Department of Agrcultural and Resource Economcs Department of Economcs Tme: 5 hours Mcroeconomcs Readng Tme: 2 mnutes PRELIMIARY EXAMIATIO FOR THE Ph.D. DEGREE

More information

PHYS 705: Classical Mechanics. Calculus of Variations II

PHYS 705: Classical Mechanics. Calculus of Variations II 1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary

More information

Idiosyncratic Investment (or Entrepreneurial) Risk in a Neoclassical Growth Model. George-Marios Angeletos. MIT and NBER

Idiosyncratic Investment (or Entrepreneurial) Risk in a Neoclassical Growth Model. George-Marios Angeletos. MIT and NBER Idosyncratc Investment (or Entrepreneural) Rsk n a Neoclasscal Growth Model George-Maros Angeletos MIT and NBER Motvaton emprcal mportance of entrepreneural or captal-ncome rsk ˆ prvate busnesses account

More information

Notes on Kehoe Perri, Econometrica 2002

Notes on Kehoe Perri, Econometrica 2002 Notes on Kehoe Perr, Econometrca 2002 Jonathan Heathcote November 2nd 2005 There s nothng n these notes that s not n Kehoe Perr NBER Workng Paper 7820 or Kehoe and Perr Econometrca 2002. However, I have

More information

Hila Etzion. Min-Seok Pang

Hila Etzion. Min-Seok Pang RESERCH RTICLE COPLEENTRY ONLINE SERVICES IN COPETITIVE RKETS: INTINING PROFITILITY IN THE PRESENCE OF NETWORK EFFECTS Hla Etzon Department of Technology and Operatons, Stephen. Ross School of usness,

More information

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)

Econ107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4) I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes

More information

Uniqueness of Nash Equilibrium in Private Provision of Public Goods: Extension. Nobuo Akai *

Uniqueness of Nash Equilibrium in Private Provision of Public Goods: Extension. Nobuo Akai * Unqueness of Nash Equlbrum n Prvate Provson of Publc Goods: Extenson Nobuo Aka * nsttute of Economc Research Kobe Unversty of Commerce Abstract Ths note proves unqueness of Nash equlbrum n prvate provson

More information

Games of Threats. Elon Kohlberg Abraham Neyman. Working Paper

Games of Threats. Elon Kohlberg Abraham Neyman. Working Paper Games of Threats Elon Kohlberg Abraham Neyman Workng Paper 18-023 Games of Threats Elon Kohlberg Harvard Busness School Abraham Neyman The Hebrew Unversty of Jerusalem Workng Paper 18-023 Copyrght 2017

More information

Market structure and Innovation

Market structure and Innovation Market structure and Innovaton Ths presentaton s based on the paper Market structure and Innovaton authored by Glenn C. Loury, publshed n The Quarterly Journal of Economcs, Vol. 93, No.3 ( Aug 1979) I.

More information

Additional Codes using Finite Difference Method. 1 HJB Equation for Consumption-Saving Problem Without Uncertainty

Additional Codes using Finite Difference Method. 1 HJB Equation for Consumption-Saving Problem Without Uncertainty Addtonal Codes usng Fnte Dfference Method Benamn Moll 1 HJB Equaton for Consumpton-Savng Problem Wthout Uncertanty Before consderng the case wth stochastc ncome n http://www.prnceton.edu/~moll/ HACTproect/HACT_Numercal_Appendx.pdf,

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

(1 ) (1 ) 0 (1 ) (1 ) 0

(1 ) (1 ) 0 (1 ) (1 ) 0 Appendx A Appendx A contans proofs for resubmsson "Contractng Informaton Securty n the Presence of Double oral Hazard" Proof of Lemma 1: Assume that, to the contrary, BS efforts are achevable under a blateral

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng

More information

1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations

1 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations Physcs 171/271 -Davd Klenfeld - Fall 2005 (revsed Wnter 2011) 1 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys

More information

Solutions HW #2. minimize. Ax = b. Give the dual problem, and make the implicit equality constraints explicit. Solution.

Solutions HW #2. minimize. Ax = b. Give the dual problem, and make the implicit equality constraints explicit. Solution. Solutons HW #2 Dual of general LP. Fnd the dual functon of the LP mnmze subject to c T x Gx h Ax = b. Gve the dual problem, and make the mplct equalty constrants explct. Soluton. 1. The Lagrangan s L(x,

More information

9 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations

9 Derivation of Rate Equations from Single-Cell Conductance (Hodgkin-Huxley-like) Equations Physcs 171/271 - Chapter 9R -Davd Klenfeld - Fall 2005 9 Dervaton of Rate Equatons from Sngle-Cell Conductance (Hodgkn-Huxley-lke) Equatons We consder a network of many neurons, each of whch obeys a set

More information

Let p z be the price of z and p 1 and p 2 be the prices of the goods making up y. In general there is no problem in grouping goods.

Let p z be the price of z and p 1 and p 2 be the prices of the goods making up y. In general there is no problem in grouping goods. Economcs 90 Prce Theory ON THE QUESTION OF SEPARABILITY What we would lke to be able to do s estmate demand curves by segmentng consumers purchases nto groups. In one applcaton, we aggregate purchases

More information

Assortment Optimization under MNL

Assortment Optimization under MNL Assortment Optmzaton under MNL Haotan Song Aprl 30, 2017 1 Introducton The assortment optmzaton problem ams to fnd the revenue-maxmzng assortment of products to offer when the prces of products are fxed.

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

More information

Foundations of Arithmetic

Foundations of Arithmetic Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an

More information

Copyright (C) 2008 David K. Levine This document is an open textbook; you can redistribute it and/or modify it under the terms of the Creative

Copyright (C) 2008 David K. Levine This document is an open textbook; you can redistribute it and/or modify it under the terms of the Creative Copyrght (C) 008 Davd K. Levne Ths document s an open textbook; you can redstrbute t and/or modfy t under the terms of the Creatve Commons Attrbuton Lcense. Compettve Equlbrum wth Pure Exchange n traders

More information

CS286r Assign One. Answer Key

CS286r Assign One. Answer Key CS286r Assgn One Answer Key 1 Game theory 1.1 1.1.1 Let off-equlbrum strateges also be that people contnue to play n Nash equlbrum. Devatng from any Nash equlbrum s a weakly domnated strategy. That s,

More information

CS294 Topics in Algorithmic Game Theory October 11, Lecture 7

CS294 Topics in Algorithmic Game Theory October 11, Lecture 7 CS294 Topcs n Algorthmc Game Theory October 11, 2011 Lecture 7 Lecturer: Chrstos Papadmtrou Scrbe: Wald Krchene, Vjay Kamble 1 Exchange economy We consder an exchange market wth m agents and n goods. Agent

More information

,, MRTS is the marginal rate of technical substitution

,, MRTS is the marginal rate of technical substitution Mscellaneous Notes on roducton Economcs ompled by eter F Orazem September 9, 00 I Implcatons of conve soquants Two nput case, along an soquant 0 along an soquant Slope of the soquant,, MRTS s the margnal

More information

Online Appendix to The Allocation of Talent and U.S. Economic Growth

Online Appendix to The Allocation of Talent and U.S. Economic Growth Onlne Appendx to The Allocaton of Talent and U.S. Economc Growth Not for publcaton) Chang-Ta Hseh, Erk Hurst, Charles I. Jones, Peter J. Klenow February 22, 23 A Dervatons and Proofs The propostons n the

More information

Conjectures in Cournot Duopoly under Cost Uncertainty

Conjectures in Cournot Duopoly under Cost Uncertainty Conjectures n Cournot Duopoly under Cost Uncertanty Suyeol Ryu and Iltae Km * Ths paper presents a Cournot duopoly model based on a condton when frms are facng cost uncertanty under rsk neutralty and rsk

More information

8 Derivation of Network Rate Equations from Single- Cell Conductance Equations

8 Derivation of Network Rate Equations from Single- Cell Conductance Equations Physcs 178/278 - Davd Klenfeld - Wnter 2015 8 Dervaton of Network Rate Equatons from Sngle- Cell Conductance Equatons We consder a network of many neurons, each of whch obeys a set of conductancebased,

More information

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2 Salmon: Lectures on partal dfferental equatons 5. Classfcaton of second-order equatons There are general methods for classfyng hgher-order partal dfferental equatons. One s very general (applyng even to

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

Endogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract

Endogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract Endogenous tmng n a mxed olgopoly consstng o a sngle publc rm and oregn compettors Yuanzhu Lu Chna Economcs and Management Academy, Central Unversty o Fnance and Economcs Abstract We nvestgate endogenous

More information

Lecture 12: Discrete Laplacian

Lecture 12: Discrete Laplacian Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly

More information

A Local Variational Problem of Second Order for a Class of Optimal Control Problems with Nonsmooth Objective Function

A Local Variational Problem of Second Order for a Class of Optimal Control Problems with Nonsmooth Objective Function A Local Varatonal Problem of Second Order for a Class of Optmal Control Problems wth Nonsmooth Objectve Functon Alexander P. Afanasev Insttute for Informaton Transmsson Problems, Russan Academy of Scences,

More information

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all

More information

Pricing and Resource Allocation Game Theoretic Models

Pricing and Resource Allocation Game Theoretic Models Prcng and Resource Allocaton Game Theoretc Models Zhy Huang Changbn Lu Q Zhang Computer and Informaton Scence December 8, 2009 Z. Huang, C. Lu, and Q. Zhang (CIS) Game Theoretc Models December 8, 2009

More information

j) = 1 (note sigma notation) ii. Continuous random variable (e.g. Normal distribution) 1. density function: f ( x) 0 and f ( x) dx = 1

j) = 1 (note sigma notation) ii. Continuous random variable (e.g. Normal distribution) 1. density function: f ( x) 0 and f ( x) dx = 1 Random varables Measure of central tendences and varablty (means and varances) Jont densty functons and ndependence Measures of assocaton (covarance and correlaton) Interestng result Condtonal dstrbutons

More information

Lecture 10 Support Vector Machines II

Lecture 10 Support Vector Machines II Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed

More information

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

More information

Linear Approximation with Regularization and Moving Least Squares

Linear Approximation with Regularization and Moving Least Squares Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...

More information

Progressivity of Taxes, Skeweness of Income Distribution and Violations of the Progressive Principle in Income Tax Systems

Progressivity of Taxes, Skeweness of Income Distribution and Violations of the Progressive Principle in Income Tax Systems ANALYSES Progressvty of Taxes, Skeweness of Income Dstrbuton and Volatons of the Progressve Prncple n Income Tax Systems Edyta Mazurek Wrocław Unversty of Economcs, Wrocław, Poland Abstract Kakwan and

More information

An (almost) unbiased estimator for the S-Gini index

An (almost) unbiased estimator for the S-Gini index An (almost unbased estmator for the S-Gn ndex Thomas Demuynck February 25, 2009 Abstract Ths note provdes an unbased estmator for the absolute S-Gn and an almost unbased estmator for the relatve S-Gn for

More information

In the figure below, the point d indicates the location of the consumer that is under competition. Transportation costs are given by td.

In the figure below, the point d indicates the location of the consumer that is under competition. Transportation costs are given by td. UC Berkeley Economcs 11 Sprng 006 Prof. Joseph Farrell / GSI: Jenny Shanefelter Problem Set # - Suggested Solutons. 1.. In ths problem, we are extendng the usual Hotellng lne so that now t runs from [-a,

More information

10-801: Advanced Optimization and Randomized Methods Lecture 2: Convex functions (Jan 15, 2014)

10-801: Advanced Optimization and Randomized Methods Lecture 2: Convex functions (Jan 15, 2014) 0-80: Advanced Optmzaton and Randomzed Methods Lecture : Convex functons (Jan 5, 04) Lecturer: Suvrt Sra Addr: Carnege Mellon Unversty, Sprng 04 Scrbes: Avnava Dubey, Ahmed Hefny Dsclamer: These notes

More information

U.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017

U.C. Berkeley CS294: Beyond Worst-Case Analysis Luca Trevisan September 5, 2017 U.C. Berkeley CS94: Beyond Worst-Case Analyss Handout 4s Luca Trevsan September 5, 07 Summary of Lecture 4 In whch we ntroduce semdefnte programmng and apply t to Max Cut. Semdefnte Programmng Recall that

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

8 Derivation of Network Rate Equations from Single- Cell Conductance Equations

8 Derivation of Network Rate Equations from Single- Cell Conductance Equations Physcs 178/278 - Davd Klenfeld - Wnter 2019 8 Dervaton of Network Rate Equatons from Sngle- Cell Conductance Equatons Our goal to derve the form of the abstract quanttes n rate equatons, such as synaptc

More information

Unit 5: Government policy in competitive markets I E ciency

Unit 5: Government policy in competitive markets I E ciency Unt 5: Government polcy n compettve markets I E cency Prof. Antono Rangel January 2, 2016 1 Pareto optmal allocatons 1.1 Prelmnares Bg pcture Consumers: 1,...,C,eachw/U,W Frms: 1,...,F,eachw/C ( ) Consumers

More information

f(x,y) = (4(x 2 4)x,2y) = 0 H(x,y) =

f(x,y) = (4(x 2 4)x,2y) = 0 H(x,y) = Problem Set 3: Unconstraned mzaton n R N. () Fnd all crtcal ponts of f(x,y) (x 4) +y and show whch are ma and whch are mnma. () Fnd all crtcal ponts of f(x,y) (y x ) x and show whch are ma and whch are

More information

STATISTICAL MECHANICS

STATISTICAL MECHANICS STATISTICAL MECHANICS Thermal Energy Recall that KE can always be separated nto 2 terms: KE system = 1 2 M 2 total v CM KE nternal Rgd-body rotaton and elastc / sound waves Use smplfyng assumptons KE of

More information

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification

2E Pattern Recognition Solutions to Introduction to Pattern Recognition, Chapter 2: Bayesian pattern classification E395 - Pattern Recognton Solutons to Introducton to Pattern Recognton, Chapter : Bayesan pattern classfcaton Preface Ths document s a soluton manual for selected exercses from Introducton to Pattern Recognton

More information

Canonical transformations

Canonical transformations Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,

More information

On the correction of the h-index for career length

On the correction of the h-index for career length 1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat

More information

Volume 29, Issue 4. Incomplete third-degree price discrimination, and market partition problem. Yann Braouezec ESILV

Volume 29, Issue 4. Incomplete third-degree price discrimination, and market partition problem. Yann Braouezec ESILV Volume 29, Issue 4 Incomplete thrd-degree prce dscrmnaton, and market partton problem Yann Braouezec ESILV Abstract We ntroduce n ths paper the "ncomplete" thrd-degree prce dscrmnaton, whch s the stuaton

More information

Statistical Inference. 2.3 Summary Statistics Measures of Center and Spread. parameters ( population characteristics )

Statistical Inference. 2.3 Summary Statistics Measures of Center and Spread. parameters ( population characteristics ) Ismor Fscher, 8//008 Stat 54 / -8.3 Summary Statstcs Measures of Center and Spread Dstrbuton of dscrete contnuous POPULATION Random Varable, numercal True center =??? True spread =???? parameters ( populaton

More information

The Feynman path integral

The Feynman path integral The Feynman path ntegral Aprl 3, 205 Hesenberg and Schrödnger pctures The Schrödnger wave functon places the tme dependence of a physcal system n the state, ψ, t, where the state s a vector n Hlbert space

More information

Portfolios with Trading Constraints and Payout Restrictions

Portfolios with Trading Constraints and Payout Restrictions Portfolos wth Tradng Constrants and Payout Restrctons John R. Brge Northwestern Unversty (ont wor wth Chrs Donohue Xaodong Xu and Gongyun Zhao) 1 General Problem (Very) long-term nvestor (eample: unversty

More information

The Minimum Universal Cost Flow in an Infeasible Flow Network

The Minimum Universal Cost Flow in an Infeasible Flow Network Journal of Scences, Islamc Republc of Iran 17(2): 175-180 (2006) Unversty of Tehran, ISSN 1016-1104 http://jscencesutacr The Mnmum Unversal Cost Flow n an Infeasble Flow Network H Saleh Fathabad * M Bagheran

More information

The Second Anti-Mathima on Game Theory

The Second Anti-Mathima on Game Theory The Second Ant-Mathma on Game Theory Ath. Kehagas December 1 2006 1 Introducton In ths note we wll examne the noton of game equlbrum for three types of games 1. 2-player 2-acton zero-sum games 2. 2-player

More information

Managing Capacity Through Reward Programs. on-line companion page. Byung-Do Kim Seoul National University College of Business Administration

Managing Capacity Through Reward Programs. on-line companion page. Byung-Do Kim Seoul National University College of Business Administration Managng Caacty Through eward Programs on-lne comanon age Byung-Do Km Seoul Natonal Unversty College of Busness Admnstraton Mengze Sh Unversty of Toronto otman School of Management Toronto ON M5S E6 Canada

More information

Price competition with capacity constraints. Consumers are rationed at the low-price firm. But who are the rationed ones?

Price competition with capacity constraints. Consumers are rationed at the low-price firm. But who are the rationed ones? Prce competton wth capacty constrants Consumers are ratoned at the low-prce frm. But who are the ratoned ones? As before: two frms; homogeneous goods. Effcent ratonng If p < p and q < D(p ), then the resdual

More information

ECE559VV Project Report

ECE559VV Project Report ECE559VV Project Report (Supplementary Notes Loc Xuan Bu I. MAX SUM-RATE SCHEDULING: THE UPLINK CASE We have seen (n the presentaton that, for downlnk (broadcast channels, the strategy maxmzng the sum-rate

More information

Module 17: Mechanism Design & Optimal Auctions

Module 17: Mechanism Design & Optimal Auctions Module 7: Mechansm Desgn & Optmal Auctons Informaton Economcs (Ec 55) George Georgads Examples: Auctons Blateral trade Producton and dstrbuton n socety General Setup N agents Each agent has prvate nformaton

More information

Analyzing Consumer s Behaviour in Risk and Uncertainty Situations

Analyzing Consumer s Behaviour in Risk and Uncertainty Situations Internatonal Journal of Economc Practces and Theores, Vol, No, (October), e-issn 47 75 wwweporg Analyzng Consumer s Behavour n Rsk and Uncertanty Stuatons by Danela Elena Marnescu, Dumtru Marn, Ioana Manaf

More information

Games and Market Imperfections

Games and Market Imperfections Games and Market Imperfectons Q: The mxed complementarty (MCP) framework s effectve for modelng perfect markets, but can t handle mperfect markets? A: At least part of the tme A partcular type of game/market

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

More information

How Strong Are Weak Patents? Joseph Farrell and Carl Shapiro. Supplementary Material Licensing Probabilistic Patents to Cournot Oligopolists *

How Strong Are Weak Patents? Joseph Farrell and Carl Shapiro. Supplementary Material Licensing Probabilistic Patents to Cournot Oligopolists * How Strong Are Weak Patents? Joseph Farrell and Carl Shapro Supplementary Materal Lcensng Probablstc Patents to Cournot Olgopolsts * September 007 We study here the specal case n whch downstream competton

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

More information

Lecture 21: Numerical methods for pricing American type derivatives

Lecture 21: Numerical methods for pricing American type derivatives Lecture 21: Numercal methods for prcng Amercan type dervatves Xaoguang Wang STAT 598W Aprl 10th, 2014 (STAT 598W) Lecture 21 1 / 26 Outlne 1 Fnte Dfference Method Explct Method Penalty Method (STAT 598W)

More information

Erratum: A Generalized Path Integral Control Approach to Reinforcement Learning

Erratum: A Generalized Path Integral Control Approach to Reinforcement Learning Journal of Machne Learnng Research 00-9 Submtted /0; Publshed 7/ Erratum: A Generalzed Path Integral Control Approach to Renforcement Learnng Evangelos ATheodorou Jonas Buchl Stefan Schaal Department of

More information

Maximum Likelihood Estimation of Binary Dependent Variables Models: Probit and Logit. 1. General Formulation of Binary Dependent Variables Models

Maximum Likelihood Estimation of Binary Dependent Variables Models: Probit and Logit. 1. General Formulation of Binary Dependent Variables Models ECO 452 -- OE 4: Probt and Logt Models ECO 452 -- OE 4 Maxmum Lkelhood Estmaton of Bnary Dependent Varables Models: Probt and Logt hs note demonstrates how to formulate bnary dependent varables models

More information

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

More information

Limited Dependent Variables

Limited Dependent Variables Lmted Dependent Varables. What f the left-hand sde varable s not a contnuous thng spread from mnus nfnty to plus nfnty? That s, gven a model = f (, β, ε, where a. s bounded below at zero, such as wages

More information

Economics 130. Lecture 4 Simple Linear Regression Continued

Economics 130. Lecture 4 Simple Linear Regression Continued Economcs 130 Lecture 4 Contnued Readngs for Week 4 Text, Chapter and 3. We contnue wth addressng our second ssue + add n how we evaluate these relatonshps: Where do we get data to do ths analyss? How do

More information

Digital Signal Processing

Digital Signal Processing Dgtal Sgnal Processng Dscrete-tme System Analyss Manar Mohasen Offce: F8 Emal: manar.subh@ut.ac.r School of IT Engneerng Revew of Precedent Class Contnuous Sgnal The value of the sgnal s avalable over

More information

A note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights

A note on almost sure behavior of randomly weighted sums of φ-mixing random variables with φ-mixing weights ACTA ET COMMENTATIONES UNIVERSITATIS TARTUENSIS DE MATHEMATICA Volume 7, Number 2, December 203 Avalable onlne at http://acutm.math.ut.ee A note on almost sure behavor of randomly weghted sums of φ-mxng

More information

Modelli Clamfim Equazione del Calore Lezione ottobre 2014

Modelli Clamfim Equazione del Calore Lezione ottobre 2014 CLAMFIM Bologna Modell 1 @ Clamfm Equazone del Calore Lezone 17 15 ottobre 2014 professor Danele Rtell danele.rtell@unbo.t 1/24? Convoluton The convoluton of two functons g(t) and f(t) s the functon (g

More information

Dummy variables in multiple variable regression model

Dummy variables in multiple variable regression model WESS Econometrcs (Handout ) Dummy varables n multple varable regresson model. Addtve dummy varables In the prevous handout we consdered the followng regresson model: y x 2x2 k xk,, 2,, n and we nterpreted

More information

Marginal Utility of Income and value of time in urban transport. Abstract

Marginal Utility of Income and value of time in urban transport. Abstract Margnal Utlty of Income and value of tme n urban transport Chrstelle Vauroux Unversty of Cncnnat Abstract We relax the assumpton of constancy of the margnal utlty of ncome nto a structural model of urban

More information