Easy Demand-System Estimation with Quaids

Brian P. Poi

202 citations0/0 files storedThe Stata Journal Promoting communications on statistics and Stata

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Economics of Agriculture and Food Markets Consumer Market Behavior and Pricing Economic and Environmental Valuation

Abstract

Previously, to fit an almost-ideal demand system in Stata, one would have to use the nlsur command and write a function evaluator program as described in [R] nlsur and Poi (2008, Stata Journal 8: 554–556). In this article, I introduce the command quaids, which obviates the need for any programming by the user. The command fits Deaton and Muellbauer's (1980b, American Economic Review 70: 312–326) original almost-ideal demand-system model as well as Banks, Blundell, and Lewbel's (1997, Review of Economics and Statistics 79: 527–539) quadratic variant. Demographic variables can also be included in the model. Postestimation tools calculate expenditure and price elasticities.

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References

1980An Almost Ideal Demand System 1980Economics and Consumer Behavior 1997Quadratic Engel Curves and Consumer Demand 1981Demographic Variables in Demand Analysis

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2017Price elasticity of the demand for soft drinks, other sugar-sweetened beverages and energy dense food in Chile 2015Estimating Almost-ideal Demand Systems with Endogenous Regressors

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