An Econometric Analysis of Population Change in Arkansas

Thomas Fullerton (), David A. Ramirez and Adam G. Walke

MPRA Paper from University Library of Munich, Germany

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.

Keywords: Population Economics; Regional Economics; Applied Econometrics (search for similar items in EconPapers)
JEL-codes: C53 J11 R11 (search for similar items in EconPapers)
Date: 2013-08-11, Revised 2013-11-11
New Economics Papers: this item is included in nep-age
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Citations: View citations in EconPapers (1)

Published in Oxford Journal 1.9(2014): pp. 28-40

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:59588

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