recent findings in behavioral finance. To compare these models we use the inflation adjusted MSCI total return indices of 5 … model performs well, the estimation for the German stock index could be significantly improved by an extension which follows …

for spatial heterogeneity. In particular, Bayesian and Maximum-Likelihood (ML) estimation methods are employed for model … estimation can be achieved by controlling for both phenomena. -- Spatial econometrics ; Bayesian spatial econometrics ; Spatial …

-linear least squares estimation procedures. Thereby we take advantage of the new World-Input-Output Database. This allows us for … the first time to use one consistent dataset for the estimation process and gives us the opportunity to derive … standard linear estimations using Kmenta approximations, non-linear estimation techniques perform significantly better …

problems, is overcome by adopting a Bayesian Model Averaging approach. I apply this method to a panel data set that covers 17 … applying an instrumental variable estimation approach. -- Unemployment ; institutions ; labor and product markets ; model …

. For these purposes, panel unit root tests are employed to improve power against univariate counterparts. Since cross … section correlation is a distinct feature of the underlying panel data, results are based on various second generation panel …

. Using unique panel data, we find that households who report storm damage increased their risk taking. We do not find …