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An Econometric Analysis of Population Change in Arkansas

Author

Listed:
  • Fullerton, Thomas M., Jr.
  • Ramirez, David A.
  • Walke, Adam G.

Abstract

This study models and forecasts the components of population growth in Arkansas through 2017. A structural econometric model is developed and used to generate ex-ante forecasts. The model includes equations for births, deaths, and net migration. These three variables, in combination with population in the previous year, are used to estimate current-year population. Births and deaths are found to contain strong inertial components and to follow national demographic trends. Net migration also contains an inertial component and is affected by labor market conditions in Arkansas relative to those of the United States as a whole. One contribution of the paper is the selection of model functional form based upon deviance information criterion. Furthermore, results of out of sample simulations indicate that the modeling approach employed can potentially handle both the cyclical and the structural factors that typically affect regional population change. The results shed light on demographic dynamics in a relatively understudied region of the United States.

Suggested Citation

  • Fullerton, Thomas M., Jr. & Ramirez, David A. & Walke, Adam G., 2013. "An Econometric Analysis of Population Change in Arkansas," MPRA Paper 59588, University Library of Munich, Germany, revised 11 Nov 2013.
  • Handle: RePEc:pra:mprapa:59588
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    File URL: https://mpra.ub.uni-muenchen.de/59588/1/MPRA_paper_59588.pdf
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    References listed on IDEAS

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    1. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    2. Smith, Stanley K., 1997. "Further thoughts on simplicity and complexity in population projection models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 557-565, December.
    3. Larry E. Jones & Alice Schoonbroodt & Michèle Tertilt, 2010. "Fertility Theories: Can They Explain the Negative Fertility-Income Relationship?," NBER Chapters, in: Demography and the Economy, pages 43-100, National Bureau of Economic Research, Inc.
    4. Harris, John R & Todaro, Michael P, 1970. "Migration, Unemployment & Development: A Two-Sector Analysis," American Economic Review, American Economic Association, vol. 60(1), pages 126-142, March.
    5. Fullerton, Thomas & Barraza de Anda, Martha, 2008. "Borderplex Population Modeling," MPRA Paper 7032, University Library of Munich, Germany.
    6. Schultz, T. Paul, 2005. "Fertility and Income," Center Discussion Papers 28500, Yale University, Economic Growth Center.
    7. Xiao, Ni & Zarnikau, Jay & Damien, Paul, 2007. "Testing functional forms in energy modeling: An application of the Bayesian approach to U.S. electricity demand," Energy Economics, Elsevier, vol. 29(2), pages 158-166, March.
    8. repec:bla:econom:v:42:y:1975:i:165:p:59-78 is not listed on IDEAS
    9. Paul S. Davies & Michael J. Greenwood & Haizheng Li, 2001. "A Conditional Logit Approach to U.S. State‐to‐State Migration," Journal of Regional Science, Wiley Blackwell, vol. 41(2), pages 337-360, May.
    10. Jeff Tayman & David Swanson, 1996. "On the utility of population forecasts," Demography, Springer;Population Association of America (PAA), vol. 33(4), pages 523-528, November.
    11. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    12. Jaewon Lim, 2011. "Does wage differential driven migration continue to exist? Tests on the role of regional economic structure in wage differential driven migration," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 47(1), pages 213-233, August.
    13. Ruben Hernandez-Murillo & Lesli S. Ott & Michael T. Owyang & Denise Whalen, 2011. "Patterns of interstate migration in the United States from the survey of income and program participation," Review, Federal Reserve Bank of St. Louis, vol. 93(May), pages 169-186.
    14. repec:mpr:mprres:6984 is not listed on IDEAS
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    Cited by:

    1. Fullerton, Thomas M., Jr. & Walke, Adam G. & Villavicencio, Diana, 2015. "An Econometric Approach for Modeling Population Change in Doña Ana County, New Mexico," MPRA Paper 71141, University Library of Munich, Germany, revised 28 Jan 2015.

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    More about this item

    Keywords

    Population Economics; Regional Economics; Applied Econometrics;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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