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Efficient local IV estimation of an empirical auction model
Authors:Han Hong  Denis Nekipelov
Institution:Department of Economics, Stanford University, USA; Department of Economics, University of California at Berkeley, USA
Abstract:In this paper we examine semiparametric efficiency bounds and efficient estimators for the case of a linear local instrument variable (LIV) model under the assumptions studied in Abadie et al. (2002). We apply the semiparametrically efficient estimation method to analyze the relation between bid dispersion and early bidding in an online auction dataset, which is collected from a natural experiment conducted in Nekipelov (2007). The results confirm the theoretical findings developed in Nekipelov (2007). The semiparametric efficient estimation procedure substantially improves the statistical significance of the effect of jump bidding on bid dispersion.
Keywords:Semiparametric efficiency bound  Local treatment effect  Natural experiment  Online auction  Early jump bid
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