Semiparametric identification and estimation of discrete choice models for bundles
Thomas Tao Yang and
Economics Letters, 2020, vol. 193, issue C
We study (point) identification of preference coefficients in semiparametric discrete choice models for bundles. The approach to the identification uses an “identification at infinity” (Chamberlain, 1986) insight in combination with median independence restrictions on unobservables. We propose two-stage maximum score (MS) estimators and show their consistency. Monte Carlo evidence demonstrates that our approach performs satisfactorily in finite samples.
Keywords: Bundle choices; Semiparametric model; Median independence; Identification at infinity; Maximum score estimation (search for similar items in EconPapers)
JEL-codes: C14 C23 C35 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:193:y:2020:i:c:s0165176520302123
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