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Egwald Economics: Microeconomics

Production Functions

by

Elmer G. Wiens

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Cobb-Douglas | CES | Translog | Diewert | Translog vs Diewert | Diewert vs Translog | Estimate Translog | Estimate Diewert | References and Links

With the Cobb-Douglas and CES production functions, I obtained an explicit cost function, total cost as a function of q, wL, wK, and wM, by minimizing the cost of producing a given level of output. Because the Translog production function is much more general (it has a flexible functional form permitting the partial elasticities of substitution between inputs to vary), I will use numerical analysis to obtain the cost functions associated with a given Translog production function. With the Translog production function, the elasticity of scale can vary with output and factor proportions, permitting its long run average cost curve to take the traditional U-shape.

C. Translog (Transcendental Logarithmic) Production Function

The three factor Translog production function is:

ln(q) = ln(A) + aL*ln(L) + aK*ln(K) + aM*ln(M) + bLL*ln(L)*ln(L) + bKK*ln(K)*ln(K) + bMM*ln(M)*ln(M)
+ bLK*ln(L)*ln(K) + bLM*ln(L)*ln(M) + bKM*ln(K)*ln(M) = f(L,K,M).

where L = labour, K = capital, M = materials and supplies, and q = product.

I. Constant returns to scale:

            aL + aK +aM = 1
            -2*bLL = bLK + bLM
            -2*bKK = bLK + bKM
            -2*bMM = bLM + bKM

II. To get estimates for the parameters of the Translog production function, I generated a set of 182 observations (output, factor inputs, factor prices) from a constant returns to scale CES production function, with the

elasticity of scale = 1.0, and

elasticity of substitution = .85.

and alpha = .35, beta = .4, and gamma = .25, varying the level of output and the factor prices.

III. Estimating the translog production function using multiple regression yielded the following coefficient estimates:

            lnA = 0 aL = 0.349891 aK = 0.399994 aM = 0.250116
            bLL = -0.019665 bKK = -0.021336 bMM = -0.016437
            bLK = 0.024565 bLM = 0.014766 bKM = 0.018108

R2 = 1.0       all |t-values| >> 2

Note that this procedure can be used for any set of estimated coefficients, provided we can use the resulting production function in solving, numerically, the least-cost problem below.

IV. Least-cost combination of inputs

Find the values of L, K, M, and µ that minimize the Lagrangian:

G(q;L,K,M,µ) = wL * L + wK * K + wM* M + µ * [q - exp(f(L,K,M))]

  1. GL = wL - µ * fL * exp(f(L,K,M)) = 0
  2. GK = wK - µ * fK * exp(f(L,K,M)) = 0
  3. GM = wM - µ * fM * exp(f(L,K,M)) = 0
  4. Gµ = q - * exp(f(L,K,M)) = 0

To solve equations a. to d., numerically, for given q, wL, wK, and wM, I used the first order conditions a. to d. and the associated Jacobian:
J = GLLGLK GLMG
GKLGKK GKMG
GMLGMK GMMG
GµLGµK GµMGµµ

V. Suppose the firm buys its inputs at the prices:

    wL = 7   wK = 13   wM = 6

Solving the least-cost problem yields, noting that µ = marginal cost:

Translog Long Run Cost Data
Constant Returns to Scale
Elasticity of Substitution = .85
qest q LK Mtotal cost ave. costmarg. costsLKsLMsKM
2019.99 22.716.96 21.91510.87 25.5426.790.840.840.85
2222 24.9218.7 24.13562.26 25.5626.820.840.840.85
2424 27.1220.42 26.35613.42 25.5626.860.840.840.85
2626 29.3322.15 28.57664.63 25.5626.90.840.840.85
2828 31.5323.88 30.79715.89 25.5726.920.840.840.85
3030.01 33.7125.61 33.04767.2 25.5726.950.840.840.85
3231.99 35.927.33 35.24818.02 25.56270.840.840.85
3433.99 38.0829.06 37.48869.18 25.5627.030.840.840.85
3636 40.2630.8 39.72920.54 25.5727.050.840.840.85
3838.01 42.4332.56 41.97972.08 25.5827.060.840.840.86
4039.99 44.6134.28 44.171022.92 25.5727.110.840.840.86

The Allen partial elasticities of substitution, sLK, sLM, and sKM,are all approximately equal to .85 as expected.

VI. Short Run: Capital Fixed.

If we set capital at the least cost level for q = 30, then K = 25.614838677156

Using the same method as for the long run cost curves, we get:

Translog Short Run Cost Data
Constant Returns to Scale
Elasticity of Substitution = .85
qest q LK Mtotal cost ave. costmarg. cost3 factor
sLM
2 factor
sLM
2020 17.4125.61 16.57554.34 27.72 19.220.850.85
2222 20.2825.61 19.44591.56 26.89 20.730.850.85
2424 23.3125.61 22.53631.35 26.31 22.250.850.85
2626 26.5725.61 25.83673.96 25.92 23.80.840.84
2828 30.0225.61 29.33719.08 25.68 25.370.840.84
3030 33.6425.61 33.09767 25.57 26.950.840.84
3231.99 37.4825.61 37.03817.49 25.55 28.560.830.84
3434 41.5325.61 41.24871.11 25.62 30.160.830.84
3635.99 45.7225.61 45.65926.99 25.75 31.820.830.84
3838 50.1425.61 50.34985.99 25.95 33.480.820.83
4040 54.7425.61 55.251047.7 26.19 35.180.820.83

So, now again we get a U-shaped, short run average cost curve, with capital fixed.

The short run average cost curve is (approx.) tangent to the long run average cost curve, at q = 30.

Here I have listed two measures of the short-run elasticity of substitution between L and M. The 3-factor measure of sLM uses the Allen partial elasticity of substitution formula. The 2-factor measure of sLM uses the standard short-run formula, which assumes that only L and M can vary with output, with a fixed amount of capital present. Another option would be to estimate a two factor production function q = F(L,M), and then to compute sLM. But then capital, K, is a missing variable from the estimation, skewing the estimates of the coefficients of the production function F

VII. Elasticity of substitution = 1

elasticity of scale = 1.0, and

elasticity of substitution = 1.0

and alpha = .35, beta = .4, and gamma = .25.

The CES production function collapses into the Cobb-Douglas production function.

            lnA = 0 aL = 0.35 aK = 0.45 aM = 0.25
            bLL = 0 bKK = 0 bMM = 0
            bLK = 0 bLM = 0 bKM = 0

R2 = 1.0

Translog Long Run Cost Data
Constant Returns to Scale
Elasticity of Substitution = 1.0
qest q LK Mtotal cost ave. costmarg. costsLKsLMsKM
2020 21.1614.67 17.71445.17 22.2621.21111
2222 23.1716.07 19.4487.45 22.1621.11111
2424 25.1617.47 21.09529.74 22.0721.02111
2626 27.1518.85 22.76571.68 21.9920.94111
2828 29.1420.23 24.42613.47 21.9120.86111
3029.99 31.1121.59 26.07654.88 21.8320.81111
3231.99 33.0822.97 27.71696.4 21.7620.75111
3434 35.0424.35 29.36738.02 21.7120.68111
3635.99 37.0125.7 30.98779.09 21.6420.64111
3838 38.9427.09 32.62820.48 21.5920.58111
4040 40.8928.46 34.23861.57 21.5420.53111

VIII. Short Run: Capital Fixed.

If we set capital at the least cost level for q = 30, then K = 21.59291216252

Translog Short Run Cost Data
Constant Returns to Scale
Elasticity of Substitution = 1.0
qest q LK Mtotal cost ave. costmarg. cost3 factor
sLM
2 factor
sLM
2020 15.8721.59 13.24471.22 23.56 15.8711
2222 18.621.59 15.51503.96 22.91 16.9111
2424 21.521.59 17.95538.88 22.45 17.9211
2626 24.5621.59 20.52575.74 22.14 18.911
2828 27.7821.59 23.2614.37 21.94 19.8711
3030 31.1621.59 26.03655.04 21.83 20.811
3232 34.7121.59 29.01697.69 21.8 21.711
3434 38.3821.59 32.09741.86 21.82 22.6211
3635.99 42.1921.59 35.31787.89 21.89 23.511
3837.99 46.1821.59 38.62835.71 21.99 24.3611
4040 50.2921.59 42.13885.52 22.14 25.1911

The short run average cost curve is (approx.) tangent to the long run average cost curve, at q = 30.

IX. Elasticity of substitution > 1

elasticity of scale = 1.0, and

elasticity of substitution = 1.15

and alpha = .35, beta = .4, and gamma = .25.

            lnA = 0 aL = 0.349902 aK = 0.399987 aM = 0.25011
            bLL = 0.015116 bKK = 0.015516 bMM = 0.012292
            bLK = -0.01834 bLM = -0.011892 bKM = 0.012693

R2 = 1.0

Translog Long Run Cost Data
Constant Returns to Scale
Elasticity of Substitution = 1.15
qest q LK Mtotal cost ave. costmarg. costsLKsLMsKM
2020 20.0612.68 19.07419.74 20.9917.871.151.170.98
2222 21.7413.8 20.77456.21 20.7417.581.151.170.98
2423.99 23.4214.88 22.44491.98 20.517.331.151.170.98
2626 25.0715.98 24.08527.66 20.2917.081.151.170.98
2828 26.7117.04 25.7562.69 20.116.861.151.170.98
3029.99 28.3218.09 27.3597.16 19.9116.641.151.170.98
3231.99 29.919.13 28.88631.35 19.7316.451.151.170.98
3433.99 31.4820.17 30.45665.17 19.5616.271.151.170.98
3636 33.0421.18 32.01698.64 19.4116.11.151.160.98
3838 34.5922.17 33.58731.81 19.2615.931.151.160.98
4039.99 36.1223.15 35.13764.54 19.1115.781.151.160.98

X. Short Run: Capital Fixed.

If we set capital at the least cost level for q = 30, then K = 18.086453619194

Translog Short Run Cost Data
Constant Returns to Scale
Elasticity of Substitution = 1.15
qest q LK Mtotal cost ave. costmarg. cost3 factor
sLM
2 factor
sLM
2020 15.3818.09 15.22434.13 21.71 14.191.181.13
2222 17.7818.09 17.49464.52 21.11 14.751.171.12
2424 20.2718.09 19.86496.16 20.67 15.251.171.12
2626 22.8518.09 22.28528.75 20.34 15.751.171.12
2828 25.5618.09 24.76562.59 20.09 16.191.171.12
3030 28.418.09 27.24597.33 19.91 16.621.171.12
3232 31.2618.09 29.85633.03 19.78 17.031.171.12
3434.01 34.1818.09 32.54669.6 19.69 17.391.161.12
3636 37.1818.09 35.23706.79 19.63 17.771.161.12
3838.01 40.2618.09 38.02745.08 19.61 18.091.161.12
4040 43.418.09 40.81783.82 19.6 18.451.161.12

The short run average cost curve is (approx.) tangent to the long run average cost curve, at q = 30.

XI. Allen partial elasticity of substitution

Writing the production function as q = F(L,K,M), let the bordered Hessian be:
F =
0FLFK FM
FLFLLFLK FLM
FKFKLFKK FKM
FMFMLFMK FMM
If |F| is the determinant of the bordered Hessian and |FLK| is the cofactor associated with FLK, then the Allen elasticity of substitution is defined as:

sLK = ((FL * L + FK * K + FM *M) / (L * K)) * (|FLK|/|F|)

XII. Two factor elasticity of substitution

Let the production function be q = F(L,K,M), where K is underlined to indicate it is constant in the short-run. Then the two factor (L and M) bordered Hessian is:
F =
0FLFM
FLFLLFLM
FMFMLFMM

The 2-factor elasticity of substitution between L and M is:

sLM = - (FL * L + FM * M) / (L * M ) * (FL * FM) / |F|

 
   

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