1 / 7

Translog Cost Function

Translog Cost Function. E. Berndt and D. Wood, "Technology, Prices, and the Derived Demand for Energy," Review of Economics and Statistics , 57, 1975, pp 376-384 . Production and Cost Functions. Production function: Q = f( x ) Cost minimizing factor demands: x i = x i (Q, p )

khanh
Télécharger la présentation

Translog Cost Function

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Translog Cost Function E. Berndt and D. Wood, "Technology, Prices, and the Derived Demand for Energy," Review of Economics and Statistics, 57, 1975, pp 376-384.

  2. Production and Cost Functions • Production function: Q = f(x) • Cost minimizing factor demands:xi = xi(Q,p) • Cost function: C = Si=1,…M pixi(Q,p) = C(Q,p)

  3. Theory of Cost Function • Shephard’s Lemma: xi = xi(Q,p) = C(Q,p)/pipixi/C = (pi/C) C(Q,p)/pi • Factor Shares: si =  lnC(Q,p)/ lnpi • Elasticity of Factor Substitution: • (Own and Cross) Price Elasticity:

  4. Theory of Cost Function • Constant returns to scale: C = Qc(p) • Average cost function: c(p) = C/Q • Marginal cost function: C/Q = c(p) • Linear homogeneity in prices: lc(p)=c(lp) • 2nd order Taylor approximation of lnc(p) at lnp = 0:

  5. Berndt-Wood Model • U.S. Manufacturing, 1947-1971 • Output and Four Factors: Q, K, L, E, M • Prices: PK, PL, PE, PM • The constant return to scale translog cost function:ln(C) = b0 + ln(Q) + bKln(PK) + bLln(PL) + bEln(PE) + bMln(PM) + ½ bKKln(PK)2 + ½ bLLln(PL)2 + ½ bEEln(PE)2 + ½ bMMln(PM)2 + bKLln(PK)ln(PL) + bKEln(PK)ln(PE) + bKMln(PK)ln(PM) + bLEln(PL)ln(PE) + bLMln(PL)ln(PM) + bEMln(PE)ln(PM) • Symmetric conditions: bij = bji, i,j = K,L,E,M

  6. Berndt-Wood Model • Factor shares:SK = PKK/C, SL = PLL/C, SE = PEE/C, SM = PMM/C SK+SL+SE+SM = 1 (because PKK+PLL+PEE+PMM = C) • Factor share equations: SK = bK + bKK ln(PK) + bKL ln(PL) + bKE ln(PE) + bKM ln(PM)SL = bL + bKL ln(PK) + bLL ln(PL) + bLE ln(PE) + bLM ln(PM)SE = bE + bKE ln(PK) + bLE ln(PL) + bEE ln(PE) + bEM ln(PM)SM = bM + bKM ln(PK) + bLM ln(PL) + bEM ln(PE) + bMM ln(PM) • Elasticities:qij = bij/(SiSj) + 1 if i≠j; qij = bij/(SiSi) + 1 - 1/Si, hij = Sjqij, i,j=K,L,E,M

  7. Berndt-Wood Model • Linear restrictions:bK + bL + bE + bM = 1bKK + bKL + bKE + bKM = 0 bKL + bLL + bLE + bLM = 0bKE + bLE + bEE + bEM = 0bKM + bLM + bEM + bMM = 0 • Stata programs and datasets: • bwp.dta, bwq.dta • bw1.do, bw2.do, bw3.do

More Related