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Estimating county-level demand for educational attainment

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  • Goetz, Stephan J.
  • Debertin, David L.

Abstract

A procedure is developed based on "step-down" methods familiar from input-output studies to estimate county-level demands for educational attainment. An empirJcal example is presented. Potential extensions and applications are numerous, including dynamic shift-share analyses, rural labor market studies, and long-range regional economic development planning.
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Suggested Citation

  • Goetz, Stephan J. & Debertin, David L., 1993. "Estimating county-level demand for educational attainment," Socio-Economic Planning Sciences, Elsevier, vol. 27(1), pages 25-34, March.
  • Handle: RePEc:eee:soceps:v:27:y:1993:i:1:p:25-34
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    References listed on IDEAS

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    1. George Psacharopoulos, 1985. "Returns to Education: A Further International Update and Implications," Journal of Human Resources, University of Wisconsin Press, vol. 20(4), pages 583-604.
    2. Huffman, Wallace E, 1980. "Farm and Off-Farm Work Decisions: The Role of Human Capital," The Review of Economics and Statistics, MIT Press, vol. 62(1), pages 14-23, February.
    3. Debertin, David L. & Infanger, Craig L. & Goetz, Stephan J., 1991. "The Viability Of Rural Communities: Challenges for the 90's and Beyond," Staff Papers 158741, University of Kentucky, Department of Agricultural Economics.
    4. John. M. Zimmer, 1967. "Expenditures for Public Elementary and Secondary Education in Counties Classified by the Relative Poverty Status of Their Rural Populations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 49(5), pages 1204-1208.
    5. Diamond, Charles A. & Simon, Curtis J. & Warner, John T., 1990. "A multinomial probability model of size income distribution," Journal of Econometrics, Elsevier, vol. 43(1-2), pages 43-61.
    6. Jacob Mincer, 1958. "Investment in Human Capital and Personal Income Distribution," Journal of Political Economy, University of Chicago Press, vol. 66(4), pages 281-281.
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    Cited by:

    1. Rephann, Terance J., 2002. "The importance of geographical attributes in the decision to attend college," Socio-Economic Planning Sciences, Elsevier, vol. 36(4), pages 291-307, December.
    2. Christiadi, A. & Loveridge, Scott & Cushing, Brian, 2005. "Testing a method to estimate county-level demand for educational attainment," Socio-Economic Planning Sciences, Elsevier, vol. 39(3), pages 245-260, September.
    3. Goetz, Stephan J. & Han, Yicheol, 2020. "Latent innovation in local economies," Research Policy, Elsevier, vol. 49(2).

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