Poverty program participation and employment in timber-dependent counties
AbstractThis 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 InfoPaper 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.
Date of creation: 01 Oct 1999
Date of revision:
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afdc; economic conditions; employment; poverty; timber; time-series analysis;
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