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Markov chain Monte Carlo (MCMC) methods have become a ubiquitous tool in Bayesian analysis. This paper implements MCMC methods for Bayesian analysis of stochastic frontier models using the WinBUGS package, a freely available software. General code for cross-sectional and panel data are presented...
Persistent link: https://www.econbiz.de/10005062542
Markov chain Monte Carlo (MCMC) methods have become a ubiquitous tool in Bayesian analysis. This paper implements MCMC methods for Bayesian analysis of stochastic frontier models using the WinBUGS package, a freely available software. General code for cross-sectional and panel data are presented...
Persistent link: https://www.econbiz.de/10005678732
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's worrying status at different quantiles. In addition, applying stochastic search variable selection for maternal health problems …The influence of maternal health problems on child's worrying status is important in practice in terms of the … intervention of maternal health problems early for the influence on child's worrying status. Conventional methods apply symmetric …
Persistent link: https://www.econbiz.de/10010253468
evidence on health gains versus economic burdens of different intervention policies. To assist decision-makers, we make use of … a second wave of COVID-19 increases. Finally, in addition to quantifying the health and economic impacts of intervention …
Persistent link: https://www.econbiz.de/10012270657
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