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I develop and apply a nonparametric approach to estimate demand in differentiated products markets. Estimating demand … demand functions. My approach applies to standard discrete choice settings, but accommodates a broader range of consumer … estimating demand flexibly has a significant impact on the results relative to a standard random coefficients discrete choice …
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Consumer demand microdata typically exhibit a great deal of expenditure variation but not very much price variation. In … this paper, we propose a semiparametric approach to the consumer demand problem in which expenditure share equations are … on real expenditure. Because the demand model is derived from a model of cost, it may be restricted to satisfy …
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Maximum likelihood and two-step estimators of censored demand systems yield biased and inconsistent parameter estimates … estimated using a distribution-free single-index model. We implement the proposed estimator using household-level data obtained …
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Empirically analyzing household behavior usually relies on informal data preprocessing. That is, before an econometric … German micro-data on household expenditure to estimate equivalence scales as a specific example. Our results show that …
Persistent link: https://www.econbiz.de/10010458584
Methods for estimating equivalence scales usually rely on rather strong identifying assumptions. This paper considers a partially identified estimator for equivalence scales derived from the potential outcomes framework and using nonparametric methods for estimation, which requires only mild...
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