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Bayesian method of moments - instrumental variable (BMOM - IV) analysis of mean and regression models

Zellner, Arnold - 1994

Persistent link: https://www.econbiz.de/10000899493

Bayesian instrumental variables : priors and likelihoods

Lopes, Hedibert Freitas; Polson, Nicholas G. - In: Econometric reviews 33 (2014) 1/4, pp. 100-121

Persistent link: https://www.econbiz.de/10010358369

Bayesian factor model shrinkage for linear IV regression with many instruments

Hahn, P. Richard; He, Jingyu; Lopes, Hedibert Freitas - In: Journal of business & economic statistics : JBES ; a … 36 (2018) 2, pp. 278-287

Persistent link: https://www.econbiz.de/10011894982

Methods for measuring school effectiveness

Angrist, Joshua D.; Hull, Peter; Walters, Christopher R. - In: Handbook of the economics of education : volume 7, (pp. 1-60). 2023

Persistent link: https://www.econbiz.de/10014475427

Spatio-temporal instrumental variables regression with missing data : a Bayesian approach

Nascimento, Marcus L.; Gonçalves, Kelly C. M.; … - In: Computational economics 62 (2023) 1, pp. 29-47

Persistent link: https://www.econbiz.de/10014327216

A Bayesian Significance Test of the Stationarity of Regression Parameters

Kim, Dongcheol - 2018

This paper presents a Bayesian significance test for stationarity of a regression equation using the highest posterior density credible set. In addition, a solution to the Behrens- Fisher problem is provided. From a Monte Carlo simulation study, it has been shown that the Bayesian significance...

Persistent link: https://www.econbiz.de/10012909234