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We propose a method for forecasting individual outcomes and estimating random effects in linear panel data models and … value-added models when the panel has a short time dimension. The method is robust, trivial to implement and requires …
Persistent link: https://www.econbiz.de/10014335942
20 estimators common in the panel data literature using the data on migration to Germany from 18 source countries in the … migration ; panel data ; forecasting …
Persistent link: https://www.econbiz.de/10003053134
This paper considers estimating the slope parameters and forecasting in potentially heterogeneous panel data …
Persistent link: https://www.econbiz.de/10012927647
The maximum likelihood estimator for the regression coefficients, β, in a panel binary response model with fixed …
Persistent link: https://www.econbiz.de/10011764680
20 estimators common in the panel data literature using the data on migration to Germany from 18 source countries in the …
Persistent link: https://www.econbiz.de/10013318340
of forecast distributions. We show that for a large class of models including semiparametric panel data models for …
Persistent link: https://www.econbiz.de/10014090507
provinces simultaneously. Beside the usual panel data models, we use panel models that explicitly account for spatial dependence …
Persistent link: https://www.econbiz.de/10014046018
-dimensional panel data with grouped factor structures. The proposed method attempts to capture the level of similarity of each of the …
Persistent link: https://www.econbiz.de/10013004036
This paper constructs individual-specific density forecasts for a panel of firms or households using a dynamic linear … model with common and heterogeneous coefficients and cross-sectional heteroskedasticity. The panel considered in this paper …
Persistent link: https://www.econbiz.de/10012956589
This appendix extends simulation and empirical results reported in Mancini and Trojani (2010). It discusses the choice of the robustness tuning constants; describes the unconditional, independence and conditional coverage tests for VaR forecast evaluation; provides additional Monte Carlo...
Persistent link: https://www.econbiz.de/10013138328