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A mixture growth model for migrants' remittances: An application to the German Socio-Economic Panel

Silvia Bacci (), Francesco Bartolucci, Giulia Bettin and Claudia Pigini

No 145, Mo.Fi.R. Working Papers from Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences

Abstract: We propose a bivariate mixture growth model with concomitant variables to study the time profiles of international remittances sent by first-generation migrants in Germany from 1996 to 2012. The latent class approach allows us to identify homogeneous sub-groups of migrants associated with different trajectories for their remitting behavior, which can be interpreted in the light of the theoretical economic background. In addition, the latent class model combined with the concomitant variable approach allows us to uncover whether the assignment of migrants to a specific sub-group can be ascribed to their observable characteristics, namely their return intention, as conjectured by the theoretical models.

Keywords: Bivariate model; Concomitant variables approach; Latent class model; Latent trajectory model; Longitudinal data; Remittances (search for similar items in EconPapers)
JEL-codes: C33 C38 F22 F24 (search for similar items in EconPapers)
Pages: 26
Date: 2017-12
New Economics Papers: this item is included in nep-eur
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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