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Inference in semiparametric dynamic models for binary longitudinal data

Chib, Siddhartha; Jeljazkov, Ivan G. - In: Journal of the American Statistical Association : JASA 101 (2006), pp. 685-700

Persistent link: https://www.econbiz.de/10003334676

Essays on model selection

Jeljazkov, Ivan G. - 2003

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Forecasting output growth rates and median output growth rates : a hierarchical Bayesian approach

Tobias, Justin L. - In: Journal of forecasting 20 (2001) 5, pp. 297-314

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Are returns to schooling concentrated among the most able? : A semiparametric analysis of the ability-earnings relationships

Tobias, Justin L. - In: Oxford bulletin of economics and statistics 65 (2003) 1, pp. 1-29

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Discussion of volatility in agribusiness-oriented asset markets : peeking through a Bayesian window

Tobias, Justin L. - In: American journal of agricultural economics 93 (2011) 2, pp. 441-443

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Estimation, learning and parameters of interest in a multiple outcome selection model

Tobias, Justin L. - In: Econometric reviews 25 (2006) 1, pp. 1-40

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Further results on Bayesian Method of Moments analysis of the multiple regression model

Tobias, Justin L.; Zellner, Arnold - 1998

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Bayesian Method of Moments (BMOM) analysis of parametric and semiparametric regression models

Zellner, Arnold; Tobias, Justin L.; Ryu, Hang-keun - 1998

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A note on aggregation, disaggregation and forecasting performance

Zellner, Arnold; Tobias, Justin L. - 1999

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Bayesian econometric methods

Chan, Joshua; Koop, Gary; Poirier, Dale J.; Tobias, … - 2020 - Second edition

"The past two decades have seen econometrics grow into a vast discipline. Many different branches of the subject now happily coexist with one another. These branches interweave econometric theory and empirical applications and bring econometric method to bear on a myriad of economic issues."

Persistent link: https://www.econbiz.de/10012004945