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Poverty program participation and employment in timber-dependent counties

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Author Info

  • Berck, Peter
  • Costello, Christopher
  • Hoffman, Sandra
  • Fortmann, Louise

Abstract

This paper uses cointegrated time-series methods to evaluate the effect of timber employment on participation in a major poverty program-Aid to Families with Dependent Children-Unemployed Parent (AFDC-UP). The study is conducted for major timber-producing counties in California. It is shown that a two-sector structural model can be solved to produce an error-correction model. An error-correction model is estimated with time series on state and county AFDC-UP caseload, state employment, county nontimber employment, and county timber employment. Utilizing tests on the cointegrating space, it is shown that there is no long-run relationship between poverty and timber employment in 10 of the 11 counties studied.

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Bibliographic Info

Paper provided by Department of Agricultural & Resource Economics, UC Berkeley in its series Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series with number qt9c19v6jg.

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Date of creation: 01 Oct 1999
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Handle: RePEc:cdl:agrebk:qt9c19v6jg

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Related research

Keywords: afdc; economic conditions; employment; poverty; timber; time-series analysis;

References

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  1. Rebecca M. Blank & David Card, 1993. "Poverty, Income Distribution, and Growth: Are They Still Connected," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 24(2), pages 285-340.
  2. Marston, Stephen T, 1985. "Two Views of the Geographic Distribution of Unemployment," The Quarterly Journal of Economics, MIT Press, vol. 100(1), pages 57-79, February.
  3. Sawhill, Isabel V, 1988. "Poverty in the U.S.: Why Is It So Persistent?," Journal of Economic Literature, American Economic Association, vol. 26(3), pages 1073-119, September.
  4. Greenwood, Michael J & Hunt, Gary L, 1984. "Migration and Interregional Employment Redistribution in the United States," American Economic Review, American Economic Association, vol. 74(5), pages 957-69, December.
  5. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501, Octomber.
  6. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
  7. Rebecca Blank, 1985. "Disaggregating the Effect of the Business Cycle on the Distribution of Income," Working Papers 569, Princeton University, Department of Economics, Industrial Relations Section..
  8. Timothy J. Bartik, . "Who Benefits from Local Job Growth: Migrants or Original Residents?," Upjohn Working Papers and Journal Articles tjb1993rs, W.E. Upjohn Institute for Employment Research.
  9. David M. Cutler & Lawrence F. Katz, 1991. "Macroeconomic Performance and the Disadvantaged," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 22(2), pages 1-74.
  10. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
  11. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  12. Brown, Scott J. & Coulson, N. Edward & Engle, Robert F., 1992. "On the determination of regional base and regional base multipliers," Regional Science and Urban Economics, Elsevier, vol. 22(4), pages 619-635, November.
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