Showing 1 - 10 of 3,652
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
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/10010827571
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
. 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
We present the clrbound, clr2bound, clr3bound, and clrtest commands for estimation and inference on intersection bounds as developed by Chernozhukov et al. (2013). The commands clrbound, clr2bound, and clr3bound provide bound estimates that can be used directly for estimation or to construct...
Persistent link: https://www.econbiz.de/10009781173
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
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 introduces a new hypothesis test for the null hypothesis H0 : f(Ø) = Y0, where f(.) is a known function, Y0 is a known constant, and Ø is a parameter that is partially identified by a moment (in)equality model. The main application of our test is sub-vector inference in moment...
Persistent link: https://www.econbiz.de/10010234017
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/10010340367
Persistent link: https://www.econbiz.de/10009778548