Fast, "robust", and approximately correct: estimating mixed demand systems
Bernard Salanié () and
Frank A. Wolak
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Frank A. Wolak: Institute for Fiscal Studies
No CWP64/18, CeMMAP working papers from Centre for Microdata Methods and Practice, Institute for Fiscal Studies
Many econometric models used in applied work integrate over unobserved heterogeneity. We show that a class of these models that includes many random coefficients demand systems can be approximated by a "small-sigma" expansion that yields a straightforward 2SLS estimator. We study in detail the models of market shares popular in empirical IO ("macro BLP"). Our estimator is only approximately correct, but it performs very well in practice. It is extremely fast and easy to implement, and it accommodates to misspecifi cations in the higher moments of the distribution of the random coefficients. At the very least, it provides excellent starting values for more commonly used estimators of these models.
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Working Paper: Fast, "Robust", and Approximately Correct: Estimating Mixed Demand Systems (2019)
Working Paper: Fast, "Robust", and Approximately Correct: Estimating Mixed Demand Systems (2018)
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