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A dynamic double hurdle model for remittances: evidence from Germany

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  • Bettin, Giulia
  • Lucchetti, Riccardo
  • Pigini, Claudia

Abstract

In the last thirty years, migrant remittances have become a stable source of external finance for developing countries. In this paper, we investigate whether aggregate persistence can be traced back to individual remitting behaviour, as a result of migrants’ intertemporal choices. We propose a dynamic random-effects double hurdle model based on micro data from the German Socio-Economic Panel dataset. Our results show that there is significant state dependence in remitting behaviour, but in steady-state neither the probability to remit nor the transferred amounts are particularly large, thus suggesting that long-term intertemporal planning is rather sporadic. On these grounds, the medium-long term counterbalancing effect of remittances on the brain drain appears to be weak.

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  • Bettin, Giulia & Lucchetti, Riccardo & Pigini, Claudia, 2018. "A dynamic double hurdle model for remittances: evidence from Germany," Economic Modelling, Elsevier, vol. 73(C), pages 365-377.
  • Handle: RePEc:eee:ecmode:v:73:y:2018:i:c:p:365-377
    DOI: 10.1016/j.econmod.2018.04.012
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    More about this item

    Keywords

    Migration; Remittances; State dependence; Double hurdle; Intertemporal choices;
    All these keywords.

    JEL classification:

    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • F24 - International Economics - - International Factor Movements and International Business - - - Remittances
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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