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introducing infinite-dimensional nuisance parameters using a least-favourable entropy-maximising distribution. We demonstrate …, through examples and simulations, that this approach covers a wide class of latent variables models, including some game …
Persistent link: https://www.econbiz.de/10009767942
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The contribution of generalized method of moments (Hansen and Singleton, 1982) was to allow frequentist inference regarding the parameters of a nonlinear structural model without having to solve the model. Provided there were no latent variables. The contribution of this paper is the same. With...
Persistent link: https://www.econbiz.de/10010188137
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. Then, a forecasting approach is proposed and a linear predictor is derived. Using Monte Carlo simulations, we compare the …
Persistent link: https://www.econbiz.de/10011872320
This paper examines a general class of inferential problems in semiparametric and nonparametric models defined by conditional moment restrictions. We construct tests for the hypothesis that at least one element of the identified set satisfies a conjectured (Banach space) "equality" and/or (a...
Persistent link: https://www.econbiz.de/10011337665
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This paper introduces a bootstrap-based inference method for functions of the parameter vector in a moment (in)equality model. As a special case, our method yields marginal confidence sets for individual coordinates of this parameter vector. Our inference method controls asymptotic size...
Persistent link: https://www.econbiz.de/10011326079
This paper studies the problem of specification testing in partially identified models defined by a finite number of moment equalities and inequalities (i.e., (in)equalities). Under the null hypothesis, there is at least one parameter value that simultaneously satisfies all of the moment...
Persistent link: https://www.econbiz.de/10009692018
We present the clrbound, clr2bound, clr3bound, and clrtest commands for estimation and inference on intersection bounds as developed by Chernozhukov et al. (2013). The intersection bounds framework encompasses situations where a population parameter of interest is partially identified by a...
Persistent link: https://www.econbiz.de/10010357244