Similar Search Results

Comparing Risk Attitudes of Organic and Non-Organic Farmers with a Bayesian Random Coefficient Model

Gardebroek, Cornelis - 2013

farmers compared with that of conventional farmers has not been studied. Using a non-structural approach to risk estimation, a … of Dutch organic and non-organic arable farmers. The model is estimated using Gibbs sampling. The results indicate that … organic farmers are significantly less risk averse than their non-organic colleagues …

Persistent link: https://www.econbiz.de/10012753576

Decision maps for bivariate time series with potential threshold cointegration

Kunst, Robert M. - 2002

Persistent link: https://www.econbiz.de/10001705281

Parametric covariance matrix modeling in Bayesian panel regression

Salabasis, Mickael (contributor) - 2004 - [Elektronische Ressource], Rev. February 16, 2005

The full Bayesian treatment of error component models typically relies on data augmentation to produce the required inference. Never stricly necessary a direct approach is always possible though not necessarily practical. The mechanics of direct sampling are outlined and a template for including...

Persistent link: https://www.econbiz.de/10002595455

Bayesian Approaches to Copula Modelling

Smith, Michael S. - 2015

shortcoming in two ways. First, to introduce copula models and aspects of copula theory that are especially relevant for a …

Persistent link: https://www.econbiz.de/10014174824

Bayesian Learning in Share Selection

Kruger, Jan Walters - 2011

theory, the Pearl algorithm allows belief updating by propagating likelihoods of leaf nodes (variables) and the prior …

Persistent link: https://www.econbiz.de/10014177188

TFP Growth and its Determinants : Nonparametrics and Model Averaging

Danquah, Michael; Moral-Benito, Enrique; Ouattara, Bazoumana - 2011

Total Factor Productivity (TFP) accounts for a sizeable proportion of the income and growth differences across countries. Two challenges remain to researchers aiming to explain these differences: on the one hand, TFP growth is hard to measure; on the other hand, model uncertainty hampers...

Persistent link: https://www.econbiz.de/10014183890

Bayesian Methods for Dynamic Multivariate Models

Sims, Christopher A.; Zha, Tao A. - 2014

If multivariate dynamic models are to be used to guide decision-making, it is important that it be possible to provide probability assessments of their results. Bayesian VAR models in the existing literature have not commonly (in fact, not at all as far as we know) been presented with error...

Persistent link: https://www.econbiz.de/10014048602

Priors from General Equilibrium Models for Vars

Del Negro, Marco; Schorfheide, Frank - 2014

This paper uses a simple New Keynesian monetary DSGE model as a prior for a vector autoregression and shows that the resulting model is competitive with standard benchmarks in terms of forecasting and can be used for policy analysis

Persistent link: https://www.econbiz.de/10014048878

An Information-Theoretic Methodology for Estimating Bayesian Probability Forecast of a Downturn

Mostaghimi, Mehdi - 2007

This paper presents a new Bayesian methodology for predicting a turning point in an economic system. The methodology utilizes information-theoretic measurements for assessing likelihood functions for a turning point. This methodology shows that the total information of a likelihood function...

Persistent link: https://www.econbiz.de/10014049922

Bayesian Estimation of a Decision Using Information Theory

Mostaghimi, Mehdi - 2007

The problem of modeling the revision of the information of a decision maker based on the information of the expert sources is considered. The basic model assumes that the information of the decision maker and expert sources is in the form of the probability mass functions. The modeling approach...

Persistent link: https://www.econbiz.de/10014049926