Statistical inference for a system of simultaneous, non-linear, implicit equations in the context of instrumental variable estimation

Andrew Ronald Gallant, Dale W. Jorgenson

Research output: Contribution to journalArticle

181 Citations (Scopus)

Abstract

Statistical inference for a system of simultaneous, non-linear, implicit equations is discussed. The discussion considers inference as an adjunct to two- and three-stage least squares estimation rather than in a general setting. For both of these cases the non-null asymptotic distribution of a test statistic based on the optimization criterion and a test based on the asymptotic distribution of the estimator is found; a total of four. It is argued that the tests based on the optimization criterion are to be preferred in applications. The methods are illustrated by application to hypotheses implied by the theory of demand using a translog expenditure system and data on personal consumption expenditures for durables, non-durables, and energy for the period 1947- 1971.

Original languageEnglish (US)
Pages (from-to)275-302
Number of pages28
JournalJournal of Econometrics
Volume11
Issue number2-3
DOIs
StatePublished - Jan 1 1979

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Instrumental Variables
Statistical Inference
Asymptotic distribution
Optimization
Least Squares Estimation
Test Statistic
Estimator
Energy
Context
Statistical inference
Expenditure
Instrumental variable estimation
Demand
Durables
Three-stage least squares
Inference
Translog
Test statistic

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics

Cite this

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Statistical inference for a system of simultaneous, non-linear, implicit equations in the context of instrumental variable estimation. / Gallant, Andrew Ronald; Jorgenson, Dale W.

In: Journal of Econometrics, Vol. 11, No. 2-3, 01.01.1979, p. 275-302.

Research output: Contribution to journalArticle

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