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Generalized information matrix tests for detecting model misspecification

Golden, Richard M.; Henley, Steven S.; White, Halbert; … - In: Econometrics : open access journal 4 (2016) 4, pp. 1-24

Generalized Information Matrix Tests (GIMTs) have recently been used for detecting the presence of misspecification in … developed for the purpose of identifying, classifying, and deriving novel model misspecification tests for finite …

Persistent link: https://www.econbiz.de/10011650480

Consequences of model misspecification for maximum likelihood estimation with missing data

Golden, Richard M.; Henley, Steven S.; White, Halbert; … - In: Econometrics : open access journal 7 (2019) 3/37, pp. 1-27

misspecification in the presence of incomplete data where maximum likelihood estimates are obtained by maximizing the observable … simultaneous presence of both missing data and model misspecification. These results are then used to derive robust hypothesis …) missing data. Second, we introduce a method for the detection of model misspecification in missing data problems using …

Persistent link: https://www.econbiz.de/10012160862

Parametric and nonparametric frequentist model selection and model averaging

Ullah, Aman; Wang, Huansha - In: Econometrics : open access journal 1 (2013) 2, pp. 157-179

This paper presents recent developments in model selection and model averaging for parametric and nonparametric models. While there is extensive literature on model selection under parametric settings, we present recently developed results in the context of nonparametric models. In applications,...

Persistent link: https://www.econbiz.de/10010237107

Building a structural model : parameterization and structurality

Mouchart, Michel; Orsi, Renzo - In: Econometrics : open access journal 4 (2016) 2, pp. 1-16

A specific concept of structural model is used as a background for discussing the structurality of its parameterization. Conditions for a structural model to be also causal are examined. Difficulties and pitfalls arising from the parameterization are analyzed. In particular, pitfalls when...

Persistent link: https://www.econbiz.de/10011506231

Removing specification errors from the usual formulation of binary choice models

Swamy, Paravastu A. V. B.; Chang, I-Lok; Mehta, Jatinder S. - In: Econometrics : open access journal 4 (2016) 2, pp. 1-21

We develop a procedure for removing four major specification errors from the usual formulation of binary choice models. The model that results from this procedure is different from the conventional probit and logit models. This difference arises as a direct consequence of our relaxation of the...

Persistent link: https://www.econbiz.de/10011506387

Evaluating eigenvector spatial filter corrections for omitted georeferenced variables

Griffith, Daniel A.; Chun, Yongwan - In: Econometrics : open access journal 4 (2016) 2, pp. 1-12

The Ramsey regression equation specification error test (RESET) furnishes a diagnostic for omitted variables in a linear regression model specification (i.e., the null hypothesis is no omitted variables). Integer powers of fitted values from a regression analysis are introduced as additional...

Persistent link: https://www.econbiz.de/10011506413

Asymmetry and leverage in conditional volatility models

McAleer, Michael - In: Econometrics : open access journal 2 (2014) 3, pp. 145-150

The three most popular univariate conditional volatility models are the generalized autoregressive conditional heteroskedasticity (GARCH) model of Engle (1982) and Bollerslev (1986), the GJR (or threshold GARCH) model of Glosten, Jagannathan and Runkle (1992), and the exponential GARCH (or...

Persistent link: https://www.econbiz.de/10010417180

Two-part models for fractional responses defined as ratios of integers

Oberhofer, Harald; Pfaffermayr, Michael - In: Econometrics : open access journal 2 (2014) 3, pp. 123-144

This paper discusses two alternative two-part models for fractional response variables that are defined as ratios of integers. The first two-part model assumes a Binomial distribution and known group size. It nests the one-part fractional response model proposed by Papke and Wooldridge (1996)...

Persistent link: https://www.econbiz.de/10010417183

A joint specification test for response probabilities in unordered multinomial choice models

Iwasawa, Masamune - In: Econometrics : open access journal 3 (2015) 3, pp. 667-697

Estimation results obtained by parametric models may be seriously misleading when the model is misspecified or poorly approximates the true model. This study proposes a test that jointly tests the specifications of multiple response probabilities in unordered multinomial choice models. The test...

Persistent link: https://www.econbiz.de/10011410669

Interpretation and semiparametric efficiency in quantile regression under misspecification

Lee, Ying-ying - In: Econometrics : open access journal 4 (2016) 1, pp. 1-14

Allowing for misspecification in the linear conditional quantile function, this paper provides a new interpretation and … attractive features of ordinary least squares: interpretability and semiparametric efficiency under misspecification. …

Persistent link: https://www.econbiz.de/10011411323