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	Provedor de dados AgEcon (2) Autor Berck, Peter (2) Costello, Christopher (2) Fortmann, Louise (2) Hoffmann, Sandra A. (2) Palavra-chave Employment (2) Food Security and Poverty (2) Poverty (2) Afdc (1) Economic conditions (1) Forest policy (1) O15 (1) Q23 (1) R11 (1) R15 (1) Resource /Energy Economics and Policy (1) Timber (1) Time series (1) Time-series analysis (1) Mais... Tipo do documento Working or Discussion Paper (2) Ano 2000 (1) 1999 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Poverty and Employment in Timber-Dependent Counties AgEcon Berck, Peter; Costello, Christopher; Fortmann, Louise; Hoffmann, Sandra A.. One of the most controversial aspects of federal and state policies aimed at protecting old-growth ecosystems has been the potential impact of job losses on local economies. A fundamental question for historically timber-dependent communities is whether these policies will result in local economic stagnation and enduring pockets of poverty. In this paper, we examine the long-run impact of changes in timber-related employment on other types of employment and participation in major federal poverty programs. We use monthly, multi-county time series data to estimate a vector autoregressive model of the experience of northern California counties during the 1980s and 1990s. We find that employment base multiplier effects of timber employment on other types of... Tipo: Working or Discussion Paper Palavras-chave: Forest policy; Poverty; Employment; Time series; Food Security and Poverty; Q23; O15; R11; R15. Ano: 2000 URL: http://purl.umn.edu/10831 Poverty program participation and employment in timber-dependent counties AgEcon Berck, Peter; Costello, Christopher; Hoffmann, Sandra A.; Fortmann, Louise. 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. Tipo: Working or Discussion Paper Palavras-chave: Afdc; Economic conditions; Employment; Poverty; Timber; Time-series analysis; Food Security and Poverty; Resource /Energy Economics and Policy. Ano: 1999 URL: http://purl.umn.edu/43913 Registros recuperados: 2 Primeira ... 1 ... Última

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