Estimating almost-ideal demand systems with endogenous regressors
Sébastien Lecocq
Food and Social Science Research Unit (ALISS)
The French National Institute for Agricultural Research (INRA)
Paris, France
[email protected]
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Jean-Marc Robin
Sciences Po
Paris, France
and University College London
London, UK
[email protected]
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Abstract. In this article, we present the new aidsills command for estimating
almost-ideal demand systems and their quadratic extensions. In contrast with
Poi’s (2012, Stata Journal 12: 433–446) quaids command, which is based on
the nonlinear nlsur command, aidsills uses the computationally attractive iterated
linear least-squares estimator developed by Blundell and Robin (1999, Journal
of Applied Econometrics 14: 209–232). The new command further allows one
to account for endogenous prices and total expenditure by using instrumentalvariable
techniques. Elasticities and their standard errors can be obtained using
the aidsills_elas postestimation command.
View all articles by these authors:
Sébastien Lecocq, Jean-Marc Robin
View all articles with these keywords:
aidsills, aidsills_pred, aidsills_elas, almost ideal, demand system, quadratic, endogeneity, iterated, linear, least squares
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