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A multinomial probit model with latent factors : identification and interpretation without a measurement system
Piatek, Rémi; Gensowski, Miriam - 2017
We develop a parametrization of the multinomial probit model that yields greater insight into the underlying decision-making process, by decomposing the error terms of the utilities into latent factors and noise. The latent factors are identified without a measurement system, and they can be...
Persistent link: https://www.econbiz.de/10011732373
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Modeling area-level health rankings
Courtemanche, Charles; Soneji, Samir; Tchernis, Rusty - 2013
We propose a Bayesian factor analysis model to rank the health of localities. Mortality and morbidity variables empirically contribute to the resulting rank, and population and spatial correlation are incorporated into a measure of uncertainty. We use county-level data from Texas and Wisconsin...
Persistent link: https://www.econbiz.de/10010194755
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Quantile factor models
Chen, Liang; Dolado, Juan J.; Gonzalo, Jesús - 2020
, are developed to determine the number of factors at each quantile. QFA estimation remains valid even when the …
Persistent link: https://www.econbiz.de/10012315850
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Climbing the drug staircase : a Bayesian analysis of the initiation of hard drug use
Bretteville-Jensen, Anne Line (contributor);  … - 2008
different policy implications. We propose a Bayesian estimation and predictive framework to analyze the effects and relative …
Persistent link: https://www.econbiz.de/10003784387
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Infections, accidents and nursing overtime in a neonatal intensive care unit : a Bayesian semiparametric panel data logit model
Beltempo, Marc; Bresson, Georges; Etienne, Jean-Michel; … - 2020
The paper investigates the effects of nursing overtime on nosocomial infections and medical accidents in a neonatal intensive care unit (NICU). The literature lacks clear evidence on this issue and we conjecture that this may be due to empirical and methodological factors. We thus focus on a...
Persistent link: https://www.econbiz.de/10012193281
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Bayesian panel quantile regression for binary outcomes with correlated random effects : an application on crime recidivism in Canada
Bresson, Georges; Lacroix, Guy; Rahman, Mohammad Arshad - 2020
This article develops a Bayesian approach for estimating panel quantile regression with binary outcomes in the presence of correlated random effects. We construct a working likelihood using an asymmetric Laplace (AL) error distribution and combine it with suitable prior distributions to obtain...
Persistent link: https://www.econbiz.de/10012163022
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On identification of Bayesian DSGE models
Koop, Gary; Pesaran, M. Hashem; Smith, Ron - 2011
In recent years there has been increasing concern about the identification of parameters in dynamic stochastic general equilibrium (DSGE) models. Given the structure of DSGE models it may be difficult to determine whether a parameter is identified. For the researcher using Bayesian methods, a...
Persistent link: https://www.econbiz.de/10009238657
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The quantity and quality of children : a semi-parametric Bayesian IV approach
Frühwirth-Schnatter, Sylvia; Halla, Martin; Posekany, … - 2014
-parametric Bayesian IV approach for econometric inference. Our estimation results substantiate the finding of a zero effect: we provide …
Persistent link: https://www.econbiz.de/10010257598
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Bayesian procedures as a numerical tool for the estimation of dynamic discrete choice models
Haan, Peter; Kemptner, Daniel; Uhlendorff, Arne - 2012
apply Bayesian procedures as a numerical tool for the estimation of a female labor supply model based on a sample size which … assumptions which are consistent with economic theory, e.g. log-normally distributed consumption preferences, the Bayesian method … Bayesian procedures can be a beneficial tool for the estimation of dynamic discrete choice models. -- Bayesian estimation …
Persistent link: https://www.econbiz.de/10009537623
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Reverse Bayesianism: revising beliefs in light of unforeseen events
Becker, Christoph; Melkonyan, Tigran A.; Proto, Eugenio; … - 2020
Bayesian Updating is the dominant theory of learning in economics. The theory is silent about how individuals react to …
Persistent link: https://www.econbiz.de/10012306040