Poverty program participation and employment in timber-dependent counties

dc.creatorBerck, Peter
dc.creatorCostello, Christopher
dc.creatorHoffmann, Sandra A.
dc.creatorFortmann, Louise
dc.date2017-04-01T13:53:47Z
dc.date.accessioned2026-07-09T04:34:19Z
dc.descriptionThis 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.
dc.identifierdoi:10.22004/ag.econ.43913
dc.identifierhttps://ageconsearch.umn.edu/record/43913/files/CUDARE%20898%20Berck.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/43913
dc.identifier.urihttp://hdl.handle.net/123456789/551862
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/43913
dc.titlePoverty program participation and employment in timber-dependent counties
dc.typeText

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