On the estimation and forecasting of international migration: how relevant is heterogeneity across countries?

By Herbert Brücker, Boriss Siliverstovs. Social Science Research Network, 2005

108 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/742b74d4a3483d01005f6cf8cb49409163530978

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Tian Wu
2. Jakub Bijak
3. Hongmei Zhao
4. Arkadiusz Wiśniowski
5. Xunmin Ou

In Sociology and Political Science

1. Jakub Bijak
2. Arkadiusz Wiśniowski

Citations in the corpus

• Vehicle Ownership Analysis Based on GDP per Capita in China: 1963–2050 (2014, background): “The pooled OLS treat the data as cross sectional and ignores the individual-specific effects [19].”
• Bayesian forecasting of immigration to selected European countries by using expert knowledge (2010, methodology): “ful of studies (Gorbey et al., 1999; Brücker and Siliverstovs, 2006; Bijak, 2008), where it proved to yield similar ex post errors, yet more realistic predictive intervals than the classical approach.”