Showing 1 - 10 of 26
Flow data across regions can be modeled by spatial econometric models, see LeSage and Pace (2009). Recently, regional studies became interested in the aggregation and disaggregation of flow models, because trade data cannot be obtained at a disaggregated level but data are published on an...
Persistent link: https://www.econbiz.de/10008680899
Missing data in dynamic panel models occur quite often since detailed recording of the dependent variable is often not possible at all observation points in time and space. In this paper we develop classical and Bayesian methods to complete missing data in panel models. The Chow-Lin (1971)...
Persistent link: https://www.econbiz.de/10008738785
Generalized additive models for location, scale and shape define a flexible, semi-parametric class of regression models for analyzing insurance data in which the exponential family assumption for the response is relaxed. This approach allows the actuary to include risk factors not only in the...
Persistent link: https://www.econbiz.de/10010699560
The Basel II framework strictly defines the conditions under which financial institutions are authorized to accept real estate as collateral in order to decrease their credit risk. A widely used concept for its valuation is the hedonic approach. It assumes, that a property can be characterized...
Persistent link: https://www.econbiz.de/10010761742
Generalized additive models for location, scale and, shape define a flexible, semi-parametric class of regression models for analyzing insurance data in which the exponential family assumption for the response is relaxed. This approach allows the actuary to include risk factors not only in the...
Persistent link: https://www.econbiz.de/10010753201
Models with structured additive predictor provide a very broad and rich framework for complex regression modeling. They can deal simultaneously with nonlinear covariate effects and time trends, unit- or cluster-specific heterogeneity, spatial heterogeneity and complex interactions between...
Persistent link: https://www.econbiz.de/10010547919
estimating STAR models based on Markov chain Monte Carlo (MCMC) simulation techniques, a mixed model representation of STAR …
Persistent link: https://www.econbiz.de/10010550309
Growth rate data that are collected incompletely in cross-sections is a quite frequent problem. Chow and Lin (1971) have developed a method for predicting unobserved disaggregated time series and we propose an extension of the procedure for completing cross-sectional growth rates similar to the...
Persistent link: https://www.econbiz.de/10010904374
Monte Carlo (MCMC) algorithms. We investigate the statistical properties of our approach within extensive simulation …
Persistent link: https://www.econbiz.de/10011622777
Carlo (MCMC) algorithms and is smoothly incorporated into the framework of distributional regression. We run a comprehensive …
Persistent link: https://www.econbiz.de/10011622779