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.1 Einführung in die parametrische Modellierung -- 5.2 Definition und Modellgleichung -- 5.3 Maximum-Likelihood Schätzer -- 5 … -- 6 Nichtparametrische statistische Methoden -- 6.1 Einführung in die nichtparametrische Modellierung -- 6.2 Das …
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The book provides a simple, intuitive introduction to regression models for qualitative and discrete dependent variables, to sample selection models, and to event history models, all in the context of maximum likelihood estimation. It presents a wide range of commonly used models. The book...
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"We show that the well-known numerical equivalence between two-stage least squares (2SLS) and the classic control function (CF) estimator raises an interesting and unrecognized puzzle. The classic CF approach maintains that the regression error is mean independent of the instruments conditional...
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"Estimated dynamic stochastic equilibrium (DSGE) models are now widely used for empirical research in macroeconomics as well as for quantitative policy analysis and forecasting at central banks around the world. This paper reviews recent advances in the estimation and evaluation of DSGE models,...
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