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On the Estimation and Forecasting of International Migration: How Relevant Is Heterogeneity Across Countries? Author info | Abstract | Publisher info | Download info | Related research | Statistics Herbert Brücker () (DIW Berlin and IZA Bonn)
Boriss Siliverstovs (DIW Berlin)
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This paper performs a comparative analysis of estimation as well as of out-of-sample forecasting results of more than 20 estimators common in the panel data literature using the data on migration to Germany from 18 source countries in the period 1967-2001. Our results suggest that the choice of an estimation procedure has a substantial impact on the parameter estimates of the migration function. Out-of-sample forecasting results indicate the following: (i) the standard fixed effects estimators clearly outperforms the pooled OLS estimator, (ii) both the fixed effects estimators and the hierarchical Bayes estimator exhibit the superior forecast performance, (iii) the fixed effects estimators outperform GMM and other instrumental variables estimators, (iv) forecasting performance of heterogenous estimators is mediocre in our data set.
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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number
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Length: 26 pages
Date of creation: Jul 2005Date of revision:
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Keywords: international migration ; panel data ; forecasting ; Other versions of this item:
Find related papers by JEL classification: C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications F22 - International Economics - - International Factor Movements and International Business - - - International Migration
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