Estimating foreign trade functions: A comment and a correction

Boer, Paul M. C. de; Harkema, R.; Heeswijk, B. J. Van

doi:10.1016/s0022-1996(87)80030-2

Cited by 6 publications

(1 citation statement)

References 3 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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Modelling quantitative trade restrictions: Rationing in the Rotterdam model

Brenton

1993

De Economist

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A dynamic specification of an AIDS import allocation model

Heeswijk¹,

Boer

Harkema

1993

Empirical Economics

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In this paper we use the first-order autoregressive scheme in order to introduce dynamics into the AIDS model. We also consider the theoretical restrictions of additivity, homogeneity and symmetry, and use two different specifications of the covariance matrix. We estimate the models using import allocation data for the U< 1952-1979 of five EEC countries and test different specifications against each other. Contents page 1. Introduction 2. 2. Specification of the models 3 3. Specifications of the covariance matrix and some tests 3.1. Specifications of the covariance matrix 6 3.2. Testing some specifications 8 4. Results 4.1. Introduction 9 4.2. Testing theoretical restrictions 10 4.3. Testing dynamic specifications 11 4.4. Testing specifications of the covariance matrix 12 5. Conclusion 13 Appendix 13 References 17

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Estimating foreign trade functions: A comment and a correction

Cited by 6 publications

References 3 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

Modelling quantitative trade restrictions: Rationing in the Rotterdam model

A dynamic specification of an AIDS import allocation model

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