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The estimated parameters of output distance functions frequently violate the monotonicity, quasi-convexity and convexity constraints implied by economic theory, leading to estimated elasticities and shadow prices that are incorrectly signed, and ultimately to perverse conclusions concerning the...
Persistent link: https://www.econbiz.de/10009479528
A problem with the use of flexible functional forms is that the estimated functions frequently violate the regularity conditions (eg, monotonicity, concavity) implied by economic theory. Sampling theory methods exist for imposing curvature conditions at all non-negative prices, but such methods...
Persistent link: https://www.econbiz.de/10010914568
Systems of equations comprising cost functions and first-order derivative equations are often used to estimate characteristics of production technologies. Unfortunately, many estimated systems violate the regularity conditions implied by economic theory. Sampling theory methods can be used to...
Persistent link: https://www.econbiz.de/10005476558
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Abstract Individual-level models (ILMs) are a class of complex, statistical models that are often fitted within a Bayesian framework, and which can be suitable for modeling infectious disease spread. The deviance information criterion (DIC) is a model comparison tool that is appropriate for...
Persistent link: https://www.econbiz.de/10014590600
Prepared for the Handbook of Economic Forecasting, vol 2 This chapter reviews Bayesian methods for inference and forecasting with VAR models. Bayesian inference and, by extension, forecasting depends on numerical methods for simulating from the posterior distribution of the parameters and spe-...
Persistent link: https://www.econbiz.de/10012654382
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We propose a Bayesian stochastic search approach to selecting restrictions on multivariate regression models where the errors exhibit deterministic or stochastic conditional volatilities. We develop a Markov Chain Monte Carlo (MCMC) algorithm that generates posterior restrictions on the...
Persistent link: https://www.econbiz.de/10010933593
Prepared for the Handbook of Economic Forecasting, vol 2 <p> This chapter reviews Bayesian methods for inference and forecasting with VAR models. Bayesian inference and, by extension, forecasting depends on numerical methods for simulating from the posterior distribution of the parameters and spe-...</p>
Persistent link: https://www.econbiz.de/10011019076