Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/108584 
Erscheinungsjahr: 
2012
Schriftenreihe/Nr.: 
Working Paper No. 1203
Verlag: 
Koç University-TÜSİAD Economic Research Forum (ERF), Istanbul
Zusammenfassung: 
We solve a class of identification problems for nonparametric and semiparametric models when the endogenous covariate is discrete with unbounded support. Then we proceed with an approach that resolves a polynomial basis problem for the above class of discrete distributions, and for the distributions given in the sufficient condition for completeness in Newey and Powell (2003). Thus, in addition to extending the set of econometric models for which nonparametric or semiparametric identification of structural functions is guaranteed to hold, our approach provides a natural way of estimating these functions. Finally, we extend our polynomial basis approach to Pearson-like and Ord-like families of distributions.
Schlagwörter: 
nonparametric methods
identification
instrumental variables
Dokumentart: 
Working Paper

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