Showing 1 - 10 of 23
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
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
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
This paper presents the R-package <B>MitISEM</B> (mixture of <I>t</I> by importance sampling weighted expectation maximization) which provides an automatic and flexible two-stage method to approximate a non-elliptical target density kernel -- typically a posterior density kernel -- using an adaptive mixture...</i></b>
Persistent link: https://www.econbiz.de/10011288392
This paper presents the parallel computing implementation of the MitISEM algorithm, labeled Parallel MitISEM. The basic MitISEM algorithm, introduced by Hoogerheide, Opschoor and Van Dijk (2012), provides an automatic and flexible method to approximate a non-elliptical target density using...
Persistent link: https://www.econbiz.de/10011451514
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/10010293994
spatial context and derive the BLUE for the ML and Bayesian MCMC estimation. Finally, we apply the procedure to Spanish …
Persistent link: https://www.econbiz.de/10010294002