Estimating Input–Output Factor Demand Equations: Some Results on Hanoch's HCDES Production Function

Boer, Paul M. C. de; Harkema, R.

doi:10.1080/09535319300000028

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…Approximate small-sample distributions for the estimators of the parameters in the vectors i i 1Y F F F Y n and Edgeworth-corrected critical values for the usual test statistics may be derived from the results obtained by ROTHENBERG (1984aROTHENBERG ( , 1984b. Applications of the algorithm to be presented may be found in DE BOER, HARKEMA and VAN HEESWIJK (1987), DE BOER and HARKEMA (1990), VAN HEESWIJK, DE BOER and HARKEMA (1993) and DE BOER and HARKEMA (1993a).…”

Section: Introductionmentioning

confidence: 99%

A new approach to maximum likelihood estimation of sum‐constrained linear models in case of undersized samples

Boer

Harkema

1997

Statistica Neerlandica

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Maximum likelihood procedures for estimating sum-constrained models like demand systems, brand choice models and so on, break down or produce very unstable estimates when the number of categories (n) is large as compared with the number of observations (T ). In applied research, this problem is usually resolved by postulating the contemporaneous covariance matrix of the dependent variables to be known apart from a constant of proportionality. In this paper we develop a maximum likelihood procedure for sum-constrained models with large numbers of categories, which does not require too many observations, but nevertheless allows for n covariance parameters to be estimated freely.

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Section: Introductionmentioning

confidence: 99%

A new approach to maximum likelihood estimation of sum‐constrained linear models in case of undersized samples

Boer

Harkema

1997

Statistica Neerlandica

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Implicit Elasticities and Price Effects: An Updated Procedure

Casler

2013

Economic Systems Research

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Based on the general procedure described by Casler [(2011) Coefficient Change, Price Effects, and Implicit Elasticities: Estimating Microeconomic Determinants over Two Time Periods. Economic Systems Research, 23, 153-174], this paper presents an updated approach to the estimation of input coefficient changes as functions of changing prices. The procedure makes direct use of relationships that emerge from the model of cost minimization subject to producing a desired level of output. Based on an initial specification of constant cross-price derivatives, the imposition of adding up and symmetry conditions allows the actual price and coefficient changes that occur between periods to identify implicit own and cross-price derivatives and corresponding elasticities, using data for only two time periods. With this updated approach, the calculation of derivatives is far simpler and leads to far more accurate measures of price-induced input-output coefficient changes than the original version.

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Interrelated Factor Demands and Technological Change: An Empirical Assessment of Adjustment for Sectors of the Dutch Economy

Lesuis¹,

deBoer

1994

Economic Systems Research

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Estimating Input–Output Factor Demand Equations: Some Results on Hanoch's HCDES Production Function

Cited by 4 publications

References 6 publications

A new approach to maximum likelihood estimation of sum‐constrained linear models in case of undersized samples

A new approach to maximum likelihood estimation of sum‐constrained linear models in case of undersized samples

Implicit Elasticities and Price Effects: An Updated Procedure

Interrelated Factor Demands and Technological Change: An Empirical Assessment of Adjustment for Sectors of the Dutch Economy

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