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On Dual Approaches to Demand Systems Estimation in the Presence of Binding Quantity Constraints
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TLDR
It is demonstrated that the more commonly used approach for treating binding non-negativity constraints is incompatible with economic theory and thus produces inconsistent estimates of price response, and a numerical integration approach is presented that facilitates direct maximum likelihood estimation for some problems.Abstract:
Binding quantity constraints, especially non-negativity constraints, appear frequently in micro-level data sets. Two dual approaches to demand systems estimation in the presence of binding non-negativity constraints are reviewed. It is demonstrated that, in a demand systems context, the more commonly used approach for treating binding non-negativity constraints is incompatible with economic theory and thus produces inconsistent estimates of price response. Furthermore, Monte Carlo experiments indicate that bias can be substantial even if limit observations comprise a relatively small portion of the sample. The alternative, a direct maximum likelihood estimation approach, has desirable properties; however, analytical and computational difficulties severely hamper application. The numerical integration approach, employed here for direct maximum likelihood estimation, is presented. It is believed that this integration approach facilitates direct maximum likelihood estimation for some problems. Nevertheless, the ability to estimate complex demand systems remains constrained.read more
Citations
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References
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Journal ArticleDOI
Demand Systems Estimation With Microdata: A Censored Regression Approach
Dale Heien,Cathy Roheim Wesseils +1 more
TL;DR: In this article, a censored regression approach was used for household-level microdata to measure the effects of demographic variables, which is computationally simple, consistent, and asymptotically efficient.
Journal ArticleDOI
Estimation of consumer demand systems with binding non-negativity constraints☆
Terence Wales,Alan D. Woodland +1 more
TL;DR: In this article, the authors consider the problem of zero expenditures in a sample of observations and show that even if every observation containing zero expenditures on one or more goods was excluded for purposes of estimation, these standard estimators would be biased and inconsistent, and furthermore, excluding these observations might significantly reduce the sample size.
Book
Modelling Individual Choice: The Econometrics of Corners, Kinks, and Holes
TL;DR: The Econometrics of individual Behaviour Part 1 The Theory of Rational Choice: Choice Sets, Preferences and Utility Functions The Opportunity Set Direct Utility and the Interior Optimum Indirect Utility and Roy's Identity The Cost Function and Shephard's Lemma The Distance Function Variation in Preferences as mentioned in this paper.
Journal ArticleDOI
Microeconometric Demand Systems with Binding Non-Negativity Constraints: The Dual Approach
Lung-fei Lee,Mark M. Pitt +1 more
Journal ArticleDOI
Numerical Evaluation of Multiple Integrals
TL;DR: A survey of the main methods for numerical evaluation of multiple integrals can be found in this article, where the Monte Carlo method and its generalizations are discussed, as well as number-theoretical methods, based essentially on the ideas of Diophantine approximation and equidistribution modulo 1; functional analysis approach, in which the quadrature error is regarded as a linear functional and one attempts to minimize its norm.