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	Provedor de dados AgEcon (6) Autor Flores-Lagunes, Alfonso (6) Florax, Raymond J.G.M. (2) Flores, Carlos A. (2) Ward, Patrick S. (2) Bampasidou, Maria (1) Blanco, German (1) Carrion-Flores, Carmen E. (1) Guci, Ledia (1) Moss, Charles B. (1) Mais... Palavra-chave Land Economics/Use (3) Research Methods/ Statistical Methods (3) C14 (2) C21 (2) C50 (2) Job Corps (2) Labor and Human Capital (2) Nonparametric Bounds (2) Principal Stratification (2) Productivity Analysis (2) Public Economics (2) Q18 (2) Active Labor Market Policies (1) Active Labor Market Programs. (1) Agricultural Production (1) Agricultural productivity (1) Applied Spatial Econometrics (1) C25 (1) C31 (1) Causal Inference (1) Mais... Tipo do documento Working or Discussion Paper (3) Conference Paper or Presentation (2) Journal Article (1) Ano 2011 (3) 2010 (1) 2009 (1) 2008 (1) País United States (6) Idioma Inglês (6)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 6 Primeira ... 1 ... Última Land Use Change: A Spatial Multinomial Choice Analysis AgEcon Carrion-Flores, Carmen E.; Flores-Lagunes, Alfonso; Guci, Ledia. Urban decentralization and dispersion trends have led to increased conversion of rural lands in many urban peripheries and exurban regions of the U.S. The growth of the exurban areas has outpaced growth in urban and suburban areas, resulting in growth pressures at the urban-rural fringe. A thorough analysis of land use change patterns and the ability to predict these changes are necessary for the effective design of regional environmental, growth, and development policies. We estimate a multinomial discrete choice model with spatial dependence using parcel-level data from Medina County, Ohio. Accounting for spatial dependence should result in improved statistical inference about land use changes. Our spatial model extends the binary choice “linearized... Tipo: Conference Paper or Presentation Palavras-chave: Land Use Change; Multinomial Logit; Spatial Dependence; Community/Rural/Urban Development; Land Economics/Use; Research Methods/ Statistical Methods; R14; C21; C25. Ano: 2009 URL: http://purl.umn.edu/49403 Unbundling the Degree Effect in a Job Training Program for Disadvantaged Youth AgEcon Bampasidou, Maria; Flores, Carlos A.; Flores-Lagunes, Alfonso. Government-sponsored education and training programs have the goal to enhance participants' skills so as to become more employable, productive and dependable citizens and thus alleviate poverty and decrease public dependence. While most of the literature evaluating training programs concentrates on estimating their total average treatment effect, these programs offer a variety of services to participants. Estimating the effect of these components is of importance for the design and the evaluation of labor market programs. In this paper, we employ a recent nonparametric approach to estimate bounds on the "mechanism average treatment effect" to evaluate the causal effect of attaining a high school diploma, General Education Development or vocational... Tipo: Working or Discussion Paper Palavras-chave: Causal Inference; Treatment Effects; Mechanism Average Effects; Nonparametric Bounds; Potential Outcomes; Principal Stratification; Training Programs; Job Corps; Active Labor Market Policies; Labor and Human Capital; Public Economics; C14; I20; J01. Ano: 2011 URL: http://purl.umn.edu/103619 CLIMATE CHANGE AND AGRICULTURAL PRODUCTIVITY IN SUB-SAHARAN AFRICA: A SPATIAL SAMPLE SELECTION MODEL AgEcon Ward, Patrick S.; Florax, Raymond J.G.M.; Flores-Lagunes, Alfonso. Using data at a high spatial resolution, we estimate a cereal yield response function conditional upon climatological and topographical features using a recently developed estimator for spatial process models when sample selection is of concern. We control for localized spatial correlation in unobserved disturbances affecting both the selection to plant cereals as well as in the resulting conditional yield response. We find that cereal yields across Sub-Saharan Africa will decline with increasing temperatures resulting from global climate change, and that failing to control for sample selection leads to underestimation of these adverse effects. Tipo: Working or Discussion Paper Palavras-chave: Agricultural productivity; Climate change; Spatial econometrics; Sample selection; Generalized method of moments; Land Economics/Use; Productivity Analysis; Research Methods/ Statistical Methods; C31; Q18; C50. Ano: 2011 URL: http://purl.umn.edu/116182 Agricultural Productivity and Anticipated Climate Change in Sub-Saharan Africa: A Spatial Sample Selection Model AgEcon Ward, Patrick S.; Florax, Raymond J.G.M.; Flores-Lagunes, Alfonso. A cereal yield response function is estimated conditional upon environmental and topographical features to detect the effects of spatial heterogeneity and spatial dependence in explaining agricultural productivity across Sub-Saharan Africa. Controlling for direct and localized spillover effects, we then estimate the effect that projected changes in temperature and precipitation as a result of global climate change will have on agricultural production. We find that the estimated declines found in the climatological literature may overestimate actual declines, and factors such as spatial heterogeneity (i.e., country fixed effects) are profoundly more important to agricultural production. Tipo: Conference Paper or Presentation Palavras-chave: Agricultural Production; Climate Change; Applied Spatial Econometrics; Sample Selection; Generalized Method of Moments Estimation; Environmental Economics and Policy; Productivity Analysis; I3; Q18; C50. Ano: 2010 URL: http://purl.umn.edu/61635 State Level Evidence of the Boom/Bust Cycle for Farmland AgEcon Flores-Lagunes, Alfonso; Moss, Charles B.. Tipo: Journal Article Palavras-chave: Land Economics/Use. Ano: 2008 URL: http://purl.umn.edu/48146 Bounds on Quantile Treatment Effects of Job Corps on Participants' Wages AgEcon Blanco, German; Flores, Carlos A.; Flores-Lagunes, Alfonso. This paper assesses the effect of the U.S. Job Corps (JC), the nation's largest and most comprehensive job training program targeting disadvantaged youths, on wages. We employ partial identification techniques and construct informative nonparametric bounds for the causal effect of interest under weaker assumptions than those conventionally used for point identification of treatment effects in the presence of sample selection. In addition, we propose and estimate bounds on quantile treatment effects of the program on participants' wages. In general, we find convincing evidence of positive impacts of JC on participants' wages. Importantly, we find that estimated impacts on lower quantiles of the distribution are higher, with the highest impact being in the... Tipo: Working or Discussion Paper Palavras-chave: Job Corps; Nonparametric Bounds; Principal Stratification; Active Labor Market Programs.; Labor and Human Capital; Public Economics; Research Methods/ Statistical Methods; J24; J68; C14; C21. Ano: 2011 URL: http://purl.umn.edu/103761 Registros recuperados: 6 Primeira ... 1 ... Última

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