Poverty program participation and employment in timber-dependent counties

Peter Berck, Christopher Costello, Sandra Hoffman and Louise Fortmann
Authors registered in the RePEc Author Service: Sandra A. Hoffmann

Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series from Department of Agricultural & Resource Economics, UC Berkeley

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.

Keywords: afdc; economic conditions; employment; poverty; timber; time-series analysis (search for similar items in EconPapers)
Date: 1999-10-01
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Working Paper: Poverty program participation and employment in timber-dependent counties (1999)
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