On the testability of identification in some nonparametric models with endogeneity

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Detalles Bibliográficos
Publicado en:IDEAS Working Paper Series from RePEc (2012), p. n/a
Autor principal: Canay, Ivan
Otros Autores: Santos, Andres, Shaikh, Azeem
Publicado:
Federal Reserve Bank of St. Louis
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Acceso en línea:Citation/Abstract
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035 |a 1698571935 
045 2 |b d20120101  |b d20121231 
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100 1 |a Canay, Ivan 
245 1 |a On the testability of identification in some nonparametric models with endogeneity 
260 |b Federal Reserve Bank of St. Louis  |c 2012 
513 |a Working Paper 
520 3 |a This paper examines three distinct hypothesis testing problems that arise in the context of identification of some nonparametric models with endogeneity. The first hypothesis testing problem we study concerns testing necessary conditions for identification in some nonparametric models with endogeneity involving mean independence restrictions. These conditions are typically referred to as completeness conditions. The second and third hypothesis testing problems we examine concern testing for identification directly in some nonparametric models with endogeneity involving quantile independence restrictions. For each of these hypothesis testing problems, we provide conditions under which any test will have power no greater than size against any alternative. In this sense, we conclude that no nontrivial tests for these hypothesis testing problems exist. 
653 |a Hypothesis testing 
653 |a Hypotheses 
700 1 |a Santos, Andres 
700 1 |a Shaikh, Azeem 
773 0 |t IDEAS Working Paper Series from RePEc  |g (2012), p. n/a 
786 0 |d ProQuest  |t ABI/INFORM Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/1698571935/abstract/embedded/Q8Z64E4HU3OH5N8U?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u http://ideas.repec.org/p/ifs/cemmap/18-12.html