Indirectly Estimating International Net Migration Flows by Age and Gender

REFERENCES

• Abel, G. J. 2013. Estimating global migration flow tables using place of birth data. Demographic Research 28:505–46. http://dx.doi.org/10.4054/DemRes.2013.28.18.
   Web of Science ®Google Scholar
• Abel, G. J., Samir K. C., and N. Sander. 2013. Examining the role of international migration in global population projections. Rome, Italy: Joint Eurostat/UNECE Work Session on Demographic Projections.
   Google Scholar
• Abel, G. J., and N. Sander. 2014. Quantifying global international migration flows. Science 343(6178):1520–22. http://dx.doi.org/10.1126/science.1248676.
   PubMed Web of Science ®Google Scholar
• Bilsborrow, R. E., G. Hugo, A. Oberai, and H. Zlotnik. 1997. International migration statistics: Guidelines for improving data collection systems. Geneva, Switzerland: International Labour Office.
   Google Scholar
• Brown, O. 2008. Migration and climate change. Geneva, Switzerland: International Organization for Migration.
   Google Scholar
• Brown, S. K., and F. D. Bean. 2006. International migration. In Handbook of population, ed. D. Posten and M. Micklin, 347–82. New York: Springer.
   Google Scholar
• Castles, S., H. de Haas, and M. J. Miller. 2013. The age of migration: International population movements in the modern world. New York: Guilford.
   Google Scholar
• Center for Global Development (CGD). 2009. Migrants count: Five steps toward better migration data. Washington, DC: Author.
   Google Scholar
• Crush, J. 1999. The discourse and dimensions of irregularity in post-apartheid South Africa. International Migration 37(1):125–51. http://dx.doi.org/10.1111/1468-2435.00068.
   PubMed Web of Science ®Google Scholar
• Crush, J., and D. A. McDonald. 2001. Introduction to special issue: Evaluating South African immigration policy after apartheid. Africa Today 48(3):1–13. http://dx.doi.org/10.2979/AFT.2001.48.3.1.
   Google Scholar
• De Beer, J., J. Raymer, R. van der Erf, and L. van Wissen. 2010. Overcoming the problems of inconsistent international migration data: A new method applied to flows in Europe. European Journal of Population-Revue Europeenne de Demographie 26(4):459–81. http://dx.doi.org/10.1007/s10680-010-9220-z.
   PubMed Web of Science ®Google Scholar
• Giorguli Saucedo, S. E., and E. Y. Gutierrez Vazquez. 2011. Ninos y jovenes en el contexto de la migracion internacional entre Mexico y Estados Unidos. Coyuntura Demografica 1:21–25.
   Google Scholar
• Goldstein, S. 1973. Interrelations between migration and fertility in Thailand. Demography 10(2):225–41. http://dx.doi.org/10.2307/2060815.
   PubMed Web of Science ®Google Scholar
• Hargreaves, J. R., M. A. Collinson, K. Kahn, S. J. Clark, and S. M. Tollman. 2004. Childhood mortality among former Mozambican refugees and their hosts in rural South Africa. International Journal of Epidemiology 33(6):1271–78. http://dx.doi.org/10.1093/ije/dyh257.
   PubMed Web of Science ®Google Scholar
• Henning, S., and B. Hovy. 2011. Data sets on international migration. International Migration Review 45(4):980–85. http://dx.doi.org/10.1111/j.1747-7379.2011.00874_2.x.
   Web of Science ®Google Scholar
• Hugo, G. 1995. International labor migration and the family: Some observations from Indonesia. Asian and Pacific Migration Journal 4(2–3):273–301. http://dx.doi.org/10.1177/011719689500400206.
   PubMedGoogle Scholar
• ———. 2002. Effects of international migration on the family in Indonesia. Asian and Pacific Migration Journal 11(1):13–46. http://dx.doi.org/10.1177/011719680201100102.
   Google Scholar
• Kemper, R. V. 2005. Mexicans in the United States. In Encyclopedia of diasporas, ed. M. Ember, C. R. Ember, and I. Skoggard. New York: Springer.
   Google Scholar
• Lindstrom, D. P. 1996. Economic opportunity in Mexico and return migration from the United States. Demography 33(3):357–74. http://dx.doi.org/10.2307/2061767.
   PubMed Web of Science ®Google Scholar
• Marcelli, E. A., and W. A. Cornelius. 2001. The changing profile of Mexican migrants to the United States: New evidence from California and Mexico. Latin American Research Review 36(3):105–31.
   Web of Science ®Google Scholar
• McDonald, D. A., L. Zinyama, J. Gay, F. de Vletter, and R. Mattes. 2000. Guess who's coming to dinner: Migration from Lesotho, Mozambique and Zimbabwe to South Africa. International Migration Review 34(3):813–41. http://dx.doi.org/10.2307/2675946.
   Web of Science ®Google Scholar
• Nawrotzki, R. J., and L. Jiang. 2014. The community demographic model international migration (CDM-IM) dataset: Generating age and gender profiles of international migration flows. In NCAR Technical Note TN 508+STR, 1–47. Boulder, CO: National Center of Atmospheric Research.
   Google Scholar
• Nowok, B., D. Kupiszewska, and M. Poulain. 2006. Statistics on international migration flows. In THESIM: Towards harmonised European statistics on international migration, ed. M. Poulain, N. Perrin, and A. Singleton. 203–31. Louvain-la-Neuve: UCL Presses Universitaires de Louvain.
   Google Scholar
• Ozden, C., C. R. Parsons, M. Schiff, and T. L. Walmsley. 2011. Where on earth is everybody? The evolution of global bilateral migration 1960–2000. World Bank Economic Review 25(1):12–56.
   Web of Science ®Google Scholar
• Perruchoud, R., and J. Redpath-Cross. 2011. Glossary on migration. Geneva, Switzerland: International Organization for Migration.
   Google Scholar
• Piguet, E. 2010. Linking climate change, environmental degradation, and migration: A methodological overview. Climate Change 1(4):517–24.
   Google Scholar
• Pilkington, H. 1998. Migration, displacement and identity in post-Soviet Russia. London: Routledge.
   Google Scholar
• Polzer, T. 2007. Adapting to changing legal frameworks: Mozambican refugees in South Africa. International Journal of Refugee Law 19(1):22–50. http://dx.doi.org/10.1093/ijrl/eem001.
   Google Scholar
• Preston, S., P. Heuveline, and M. Guillot. 2001. Demography, measuring and modeling population process. New York: Blackwell.
   Google Scholar
• Raymer, J., J. de Beer, and R. van der Erf. 2011. Putting the pieces of the puzzle together: Age and sex-specific estimates of migration between EU/EFTA countries, 2002–2007. European Journal of Population 27:185–215. http://dx.doi.org/10.1007/s10680-011-9230-5.
   Web of Science ®Google Scholar
• Raymer, J., A. Wisniowski, J. J. Forster, P. W. F. Smith, and J. Bijak. 2013. Integrated modeling of European migration. Journal of the American Statistical Association 108(503):801–19. http://dx.doi.org/10.1080/01621459.2013.789435.
   Web of Science ®Google Scholar
• R Core Team. 2014. R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. http://www.R-project.org/.
   Google Scholar
• Rogers, A. 1990. Requiem for the net migrant. Geographical Analysis 22(4):283–300. http://dx.doi.org/10.1111/j.1538-4632.1990.tb00212.x.
   Web of Science ®Google Scholar
• Rogers, A., L. Castro, and M. Lea. 2005. Model migration schedules: Three alternative linear parameter estimation methods. Mathematical Population Studies 12(1):17–38. http://dx.doi.org/10.1080/08898480590902145.
   Google Scholar
• Rogers, A., and B. von Rabenau. 1971. Estimation of interregional migration streams from place-of-birth-by-residence data. Demography 8(2):185–94. http://dx.doi.org/10.2307/2060608.
   PubMed Web of Science ®Google Scholar
• Ruiz-de-Velasco, J., M. Fix, and B. C. Clewell. 2000. Overlooked and underserved: Immigrant students in U.S. secondary schools. Washington, DC: The Urban Institute.
   Google Scholar
• Tsai, P. L., and C. L. Tsay. 2004. Foreign direct investment and international labour migration. In International migration in Southeast Asia, ed. A. Ananta and E. N. Arifin, 94–136. Pasir Panjang, Singapore: Institute of Southeast Asian Studies.
   Google Scholar
• United Nations. 1998. Recommendations on statistics of international migration. New York: Author.
   Google Scholar
• ———. 2013. Declaration of the high-level dialogue on international migration and development (68/4). New York: Author.
   Google Scholar
• United Nations, Department of Economic and Social Affairs, Population Division (UNDESA). 2008. United Nations global migration database (UNGMD). New York: Author.
   Google Scholar
• ———. 2013a. Trends in international migrant stock: Migrants by age and sex. New York: Author.
   Google Scholar
• ———. 2013b. Trends in international migrant stock: Migrants by destination and origin. New York: Author.
   Google Scholar
• United Nations Economic Commission for Europe (UNECE). 2012. Review of sources and quality of statistics on international migration in selected countries of the Commonwealth of Independent States. New York: Author.
   Google Scholar
• United Nations Population Division (UNPD). 2005. World population prospects 2004 revision. New York: Author.
   Google Scholar
• ———. 2009a. Age-specific fertility rates by major area, region, and country. In World population prospects: The 2008 revision. New York: Author.
   Google Scholar
• ———. 2009b. Male life table survivors at exact age, l(x), by major area, region and country. In World population prospects: The 2008 revision. New York: Author.
   Google Scholar
• ———. 2011. International migration report 2009: A global assessment. New York: Author.
   Google Scholar
• ———. 2013. World population prospects 2012 revision. New York: Author.
   Google Scholar
• United Nations, Statistical Division (UNSD). 2013. Composition of macro geographical (continental) regions, geographical sub-regions, and selected economic and other groupings. New York: Author. http://unstats.un.org/unsd/methods/m49/m49regin.htm (accessed June 18, 2013).
   Google Scholar
• White, M. J., E. Tagoe, C. Stiff, K. Adazu, and D. J. Smith. 2005. Urbanization and the fertility transition in Ghana. Population Research and Policy Review 24(1):59–83. http://dx.doi.org/10.1007/s11113-005-0367-y.
   Web of Science ®Google Scholar
• Zlotnik, H., P. Guest, B. Hovy, and S. Henning. 2010. Data and analysis: Partnering to better understand and address the human development implications of migration. Geneva, Switzerland: United Nations Department of Economic and Social Affairs.
   Google Scholar