Volume 32 - Article 33 | Pages 915–948
Smoothing internal migration age profiles for comparative research
References
Atienza, Miguel and Aroca, Patricio (2012). Concentración y crecimiento en Chile: una relación negativa ignorada. EURE (Santiago) 38(14): 257-277.
Beck, Nathaniel, Katz, Jonathan N., and Tucker, Richard (1998). Taking Time Seriously: Time-Series-Cross-Section Analysis with a Binary Dependent Variable. American Journal of Political Science 42(4): 1260-1288.
Bell, M. and Muhidin, S. (2009). Cross-National Comparisons of Internal Migration. New York: United Nations (Human Development Research Paper 2009/30).
Bell, M., Blake, M., Boyle, P., Duke-Williams, O., Rees, P., Stillwell, J., and Hugo, G. (2002). Cross-national comparison of internal migration: issues and measures. Journal of the Royal Statistical Society: Series A (Statistics in Society) 165(3): 435-464.
Bernard, A., Bell, M., and Charles-Edward, E. (2014). Internal Migration Age Patterns and the Life-Course: Continuity and Change, 1970–2000. Paper presented at the European Population Conference, Budapest, Hungary, 25-28 June.
Bernard, Aude, Bell, Martin, and Charles-Edwards, Elin (2014). Improved measures for the cross-national comparison of age profiles of internal migration. Population Studies 68(2): 179-195.
Bernard, Aude, Bell, Martin, and Charles-Edwards, Elin (2014). Life-Course Transitions and the Age Profile of Internal Migration. Population and Development Review 40(2): 213-239.
Biller, Clemens and Fahrmeir, Ludwig (2001). Bayesian varying-coefficient models using adaptive regression splines. Statistical Modelling 1(3): 195-211.
Bracken, I. and Bates, J. (1983). Analysis of gross migration profiles in England and Wales: some developments in classification. Environment and Planning A 15(3): 343-355.
Carter, David B. and Signorino, Curtis S. (2010). Back to the Future: Modeling Time Dependence in Binary Data. Political Analysis 18(3): 271-292.
Castro, L.J. and Rogers, A. (1983). Patterns of family migration: two methodological approaches. Environment and Planning A 15(2): 237-254.
Congdon, P. (2008). Models for Migration Age Schedules: A Bayesian Perspective with an Application to Flows between Scotland and England. In: Raymer, J. and Willekens, F. (eds.). International Migration in Europe: Data, Models and Estimates. Chichester, UK: John Wiley & Sons: 193-205.
Congdon, Peter (1993). Statistical Graduation in Local Demographic Analysis and Projection. Journal of the Royal Statistical Society. Series A (Statistics in Society) 156(2): 237-270.
Goodall, C. (1990). A survey of smoothing techniques. In: Fox, J. and Long, J. (eds.). Modern methods of data analysis. Newbury Park, CA: Sage Publications: 126-176.
Härdle, W., Muller, M., Sperlich, S., and Werwatz, A. (2004). Nonparametric and semiparametric models. Berlin: Springer-Verlag.
Hastie, T.J. and Tibshirani, R.J. (1990). Generalized Additive Models. Boca Raton, Florida: CRC Press.
Ishikawa, Yoshitaka (2001). Migration Turnarounds and Schedule Changes in Japan, Sweden and Canada. Review of Urban & Regional Development Studies 13(1): 20-33.
Kawabe, H. (1990). Migration Rates by Age Group and Migration Patterns: Application of Rogers Migration Schedule Model to Japan, the Republic of Korea, and Thailand. Tokyo, Japan: Institute of Developing Economies.
Marron, J. S. and Nolan, D. (1988). Canonical kernels for density estimation. Statistics & Probability Letters 7(3): 195-199.
McNeil, Donald R., Trullell, T. Jamel, and Turner, John C. (1977). Spline interpolation of demographic oata. Demography 14(2): 245-252.
Minnesota Population Center (2011). Integrated Public Use Microdata Series, International: Versions 6.1 [Machine-readable database]. Minneapolis: University of Minnesota.
Moguerza, J.M., Olivares, A., Kostaki, A., and Psarakis, S. (eds.) (2010). Comparing Smoothing Techniques on Fertility Data. (Ninth Mexican International Conference on Artificial Intelligence ).
Mulder, C.H. (1993). Migration dynamics: a life course approach [PhD thesis].
OECD (2009). OECD Territorial Reviews: Chile. Paris: OECD.
OECD (2004). Reviews of National Policies for Education, Chile. Paris: OECD.
Pagan, A. and Ullah, A. (1999). Nonparametric econometrics. Cambridge: Cambridge: University Press.
Peristera, Paraskevi and Kostaki, Anastasia (2005). An evaluation of the performance of kernel estimators for graduating mortality data. Journal of Population Research 22(2): 185-197.
Rappoport, D., Benavente, J.M., and Meller, P. (2004). Rankings de universidades chilenas según los ingresos de sus titulados. Banco Central de Chile (Documento de Trabajo Numero 306).
Rees, Philip, Bell, Martin, Duke-Williams, Oliver, and Blake, Marcus (2000). Problems and solutions in the measurement of migration intensities: Australia and Britain compared. Population Studies 54(2): 207-222.
Rogers, A. and Castro, L.J. (1981). Model migration schedules. Laxenburg, Austria: International Institute for Applied Systems Analysis (Research Report RR-81–30).
Rogers, A., Little, J., and Raymer, J. (2010). The indirect estimation of migration: methods for dealing with irregular, inadequate, and missing data. Dordrecht: Springer.
Rogers, A., Racquillet, R., and Castro, L.J. (1978). Model migration schedules and their applications. Environment and Planning A 10(5): 475-502.
Rogers, Andrei (1988). Age patterns of elderly migration: An international comparison. Demography 25(3): 355-370.
Rogers, Andrei, Castro, Luis J., and Lea, Megan (2005). Model Migration Schedules: Three Alternative Linear Parameter Estimation Methods. Mathematical Population Studies 12(1): 17-38.
Rogers, Andrei and Little, Jani S. (1994). Parameterizing age patterns of demographic rates with the multiexponential model schedule. Mathematical Population Studies 4(3): 175-195.
Rogers, Andrei and Rajbhandary, Sameer (1997). Period and cohort age patterns of US migration, 1948–1993: Are American males migrating less? Population Research and Policy Review 16(6): 513-530.
Rogers, Andrei and Raymer, James (1999). Fitting Observed Demographic Rates with the Multiexponential Model Schedule: An Assessment of Two Estimation Programs. Review of Urban & Regional Development Studies 11(1): 1-10.
Rogers, Andrei and Watkins, John (1987). General Versus Elderly Interstate Migration and Population Redistribution in the United States. Research on Aging 9(4): 483-529.
Rowe, Francisco (2013). Spatial labour mobility in a transition economy: Migration and commuting in Chile [PhD thesis]. The University of Queensland.
Ruppert, David, Wand, M.P. , and Carroll, R.J. (2003). Semiparametric Regression. Cambridge: Cambridge University Press.
Schoenberg, I. J. (1969). Cardinal interpolation and spline functions. Journal of Approximation Theory 2(2): 167-206.
Sharef, Emmanuel, Strawderman, Robert L., Ruppert, David, Cowen, Mark, and Halasyamani, Lakshmi (2010). Bayesian adaptive B-spline estimation in proportional hazards frailty models. Electronic Journal of Statistics 4: 606-642.
Shryock, H. and Siegel, J. (1975). The methods and materials of demography. Washington, DC: US Government Printing Office.
StataCorp (2013). Stata Users Guide, Release 13. College Station, TX: Stata Press.
Wand, P. and Jones, C. (1994). Kernel Smoothing. London: Chapman & Hall/CRC.
Wilson, Tom (2010). Model migration schedules incorporating student migration peaks. Demographic Research 23(8): 191-222.