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Analysis of Pull-Factor Determinants of Filipino International Migration

Author

Listed:
  • Deluna, Roperto Jr
  • Darius, Artigo

Abstract

This paper was conducted to examine the pull-factor determinants of Filipino international migration. This study employed Ordinary Least Square (OLS) estimation of gravity model using panel data consisting of 27 countries of destinations from 2007 to 2011. Results of the study revealed that migration flow over the years is increasing. Furthermore, 39% of Filipino migrants were located in USA, this is followed by Canada, UK, Australia and Italy which is the home of 34%, 15%, 5% and 3% of Filipinos respectively. Estimation results of the determinants of Filipino international migration showed that GDP, unemployment rate, cost of living, fiscal freedom, religion, distance and being a member of OECD are not significant pull factor indicators of Filipino migration. Furthermore, it revealed that Filipino migration is significantly and positively affected by population in the destination country. It shows the higher expectancy of migrants to acquire jobs in the destination country. Moreover, Filipino migrants preferred to migrate to a country which has less corruption and that English speaking countries are preferred destination by Filipino migrants.

Suggested Citation

  • Deluna, Roperto Jr & Darius, Artigo, 2014. "Analysis of Pull-Factor Determinants of Filipino International Migration," MPRA Paper 60156, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:60156
    as

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    File URL: https://mpra.ub.uni-muenchen.de/60156/1/MPRA_paper_60156.pdf
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    References listed on IDEAS

    as
    1. Lewer, Joshua J. & Van den Berg, Hendrik, 2008. "A gravity model of immigration," Economics Letters, Elsevier, vol. 99(1), pages 164-167, April.
    2. Horácio Faustino & Nuno Leitão, 2008. "Using the Gravity Equation to Explain the Portuguese Immigration-trade Link," Working Papers Department of Economics 2008/12, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    3. Orbeta, Aniceto Jr. C. & Abrigo, Michael Ralph M., 2011. "Managing International Labor Migration: The Philippine Experience," Discussion Papers DP 2011-33, Philippine Institute for Development Studies.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Serhat Yüksel & Shahriyar Mukhtarov & Ceyhun Mahmudlu & Jeyhun I. Mikayilov & Anar Iskandarov, 2018. "Measuring International Migration in Azerbaijan," Sustainability, MDPI, vol. 10(1), pages 1-15, January.

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    More about this item

    Keywords

    International Migration; OLS; Panel Data; Fixed and Random Effects;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F22 - International Economics - - International Factor Movements and International Business - - - International Migration
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

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