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Registros recuperados: 34
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A Meta-Analysis of the Willingness to Pay for Reductions in Pesticide Risk Exposure AgEcon
Florax, Raymond J.G.M.; Travisi, Chiara M.; Nijkamp, Peter.
The use of environmental policy instruments such as eco-labelling and pesticide taxes should preferably be based on disaggregate estimates of the individuals’' willingness to pay (WTP) for pesticide risk reductions. We review the empirical valuation literature dealing with pesticide risk exposure and develop a taxonomy of environmental and human health risks associated with pesticide usage. Subsequently, we use meta-analysis to investigate the variation in WTP estimates for reduced pesticide risk exposure. Our findings show that the WTP for reduced risk exposure is approximately 15% greater for medium, and 80% greater for high risk-levels, as compared to low risk levels. The income elasticity of pesticide risk exposure is generally positive, although not...
Tipo: Conference Paper or Presentation Palavras-chave: Institutional and Behavioral Economics.
Ano: 2005 URL: http://purl.umn.edu/19524
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A SPATIAL ECONOMETRIC STAR MODEL WITH AN APPLICATION TO U.S. COUNTY ECONOMIC GROWTH, 1969–2003 AgEcon
Pede, Valerien O.; Florax, Raymond J.G.M.; Holt, Matthew T..
Spatial regression models incorporating non-stationarity in the regression coefficients are popular. We propose a spatial variant of the Smooth Transition AutoRegressive (STAR) model that is more parsimonious than commonly used approaches and endogenously determines the extent of spatial parameter variation. Uncomplicated estimation and inference procedures are demonstrated using a neoclassical convergence model for United States counties.
Tipo: Working or Discussion Paper Palavras-chave: Spatial autoregression; Smooth transition; Spatial econometrics; STAR; GWR; Community/Rural/Urban Development; Labor and Human Capital; Political Economy; Research Methods/ Statistical Methods; C21; C51; R11; R12.
Ano: 2009 URL: http://purl.umn.edu/48117
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A Spatial Hedonic Model with Time-Varying Parameters: A New Method Using Flexible Least Squares AgEcon
Kuethe, Todd H.; Foster, Kenneth A.; Florax, Raymond J.G.M..
The following paper outlines a new econometric model designed to capture both the temporal and spatial dynamics of housing prices. The paper combines existing spatial econometric techniques with a model that allows parameters to evolve over time. In addition, we provide an empirical application to the price effects of confined animal feeding operations to a data set of residential real estate in Tippecanoe County, Indiana from 1993 through 2006.
Tipo: Conference Paper or Presentation Palavras-chave: Demand and Price Analysis; Land Economics/Use; Livestock Production/Industries; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/6306
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A TWO-STEP ESTIMATOR FOR A SPATIAL LAG MODEL OF COUNTS: THEORY, SMALL SAMPLE PERFORMANCE AND AN APPLICATION AgEcon
Lambert, Dayton M.; Brown, Jason P.; Florax, Raymond J.G.M..
Several spatial econometric approaches are available to model spatially correlated disturbances in count models, but there are at present no structurally consistent count models incorporating spatial lag autocorrelation. A two-step, limited information maximum likelihood estimator is proposed to fill this gap. The estimator is developed assuming a Poisson distribution, but can be extended to other count distributions. The small sample properties of the estimator are evaluated with Monte Carlo experiments. Simulation results suggest that the spatial lag count estimator achieves gains in terms of bias over the aspatial version as spatial lag autocorrelation and sample size increase. An empirical example deals with the location choice of single-unit start-up...
Tipo: Working or Discussion Paper Palavras-chave: Count model; Location choice; Manufacturing; Poisson; Spatial econometrics; Community/Rural/Urban Development; Land Economics/Use; Research and Development/Tech Change/Emerging Technologies; C21; C25; D21; R12; R30.
Ano: 2010 URL: http://purl.umn.edu/59780
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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
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BANDWIDTH SELECTION FOR SPATIAL HAC AND OTHER ROBUST COVARIANCE ESTIMATORS AgEcon
Lambert, Dayton M.; Florax, Raymond J.G.M.; Cho, Seong-Hoon.
This research note documents estimation procedures and results for an empirical investigation of the performance of the recently developed spatial, heteroskedasticity and autocorrelation consistent (HAC) covariance estimator calibrated with different kernel bandwidths. The empirical example is concerned with a hedonic price model for residential property values. The first bandwidth approach varies an a priori determined plug-in bandwidth criterion. The second method is a data driven cross-validation approach to determine the optimal neighborhood. The third approach uses a robust semivariogram to determine the range over which residuals are spatially correlated. Inference becomes more conservative as the plug-in bandwidth is increased. The data-driven...
Tipo: Working or Discussion Paper Palavras-chave: Spatial HAC; Semivariogram; Bandwidth; Hedonic model; Community/Rural/Urban Development; Demand and Price Analysis; Land Economics/Use; Research Methods/ Statistical Methods; C13; C31; R21.
Ano: 2008 URL: http://purl.umn.edu/44258
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BANDWIDTH SELECTION FOR SPATIAL HAC AND OTHER ROBUST COVARIANCE ESTIMATORS AgEcon
Lambert, Dayton M.; Florax, Raymond J.G.M.; Cho, Seong-Hoon.
This research note documents estimation procedures and results for an empirical investigation of the performance of the recently developed spatial, heteroskedasticity and autocorrelation consistent (HAC) covariance estimator calibrated with different kernel bandwidths. The empirical example is concerned with a hedonic price model for residential property values. The first bandwidth approach varies an a priori determined plug-in bandwidth criterion. The second method is a data driven cross-validation approach to determine the optimal neighborhood. The third approach uses a robust semivariogram to determine the range over which residuals are spatially correlated. Inference becomes more conservative as the plug-in bandwidth is increased. The data-driven...
Tipo: Working or Discussion Paper Palavras-chave: Spatial HAC; Semivariogram; Bandwidth; Hedonic model; Research Methods/ Statistical Methods; C13; C31; R21.
Ano: 2008 URL: http://purl.umn.edu/45964
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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
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DETERMINANTS OF INVESTMENT FLOWS IN U.S. MANUFACTURING AgEcon
Brown, Jason P.; Florax, Raymond J.G.M.; McNamara, Kevin T..
The purpose of the paper is to test the long-run steady state of growth factors hypothesized to influence U.S. manufacturing investment flows. These factors include agglomeration, market structure, labor, infrastructure, and fiscal policy. Spatial cross-regressive and spatial Durbin models are used to measure the spatial interaction of investment flows. Spatial spillovers are found to be of a competitive nature at the state level, implying that a factor which attracts more investment to a particular state is associated with lower investments in neighboring states. Investment flows to states with higher market demand, more productive labor, and more localized agglomeration of manufacturing activity.
Tipo: Working or Discussion Paper Palavras-chave: Manufacturing; Investment; Spatial Durbin model; Community/Rural/Urban Development; L60; R11; R30.
Ano: 2009 URL: http://purl.umn.edu/54835
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Does Where We Live Matter? Understanding the Link Between Obesity and the Market for Food AgEcon
Chen, Susan E.; Florax, Raymond J.G.M.; Snyder, Samantha D..
Paper is under revision. Removed at author's request 10/27/08.
Tipo: Conference Paper or Presentation Palavras-chave: Incidence of obesity and overweight; Spatial lag model; Spatial dependence; Food Consumption/Nutrition/Food Safety; Health Economics and Policy; C21; D1; I18; J10.
Ano: 2007 URL: http://purl.umn.edu/9682
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Does Where You Live Make You Fat? Obesity and Access to Chain Grocers AgEcon
Chen, Susan E.; Florax, Raymond J.G.M.; Snyder, Samantha D..
This paper investigates the role that aspects of the physical environment play in determining health outcomes in adults as measured by body mass index (BMI). Using spatial econometric techniques that allow for spatial spillovers and feedback processes, this research specifically examines how differing levels of access to large chain grocers has on individual health outcomes. While other studies have investigated the impact of proximity to food retailers, the point-coordinate data used in this paper is uniquely suited to spatial econometric estimation at the individual level. In addition to modeling spatial dependence and allowing for unobserved neighborhood effects, the flexibility of the model is increased by incorporating potential spatial...
Tipo: Working or Discussion Paper Palavras-chave: Body mass index; Obesity; Spatial dependence; Obesogenic environments; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Health Economics and Policy; C31; D12; I12; I18.
Ano: 2009 URL: http://purl.umn.edu/53838
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Employment Growth and Income Inequality: Accounting for Spatial and Sectoral Differences AgEcon
Pede, Valerien O.; Florax, Raymond J.G.M.; Partridge, Mark D..
This paper revisits the inequality-growth relationship accounting for sectoral differences and focusing on US counties. For 8 two-digit industries of the NAICS classification, we estimated a conditional growth model where employment growth depends on regional income inequality and a number of control variables. Spatial econometrics techniques are used to account for spatial dependence. Results indicate that there is no association between employment growth and family income inequality for the Agriculture, Forestry, Fishing and Hunting sector and the Real Estate, Rental and Leasing sector. However, income inequality consistently shows a negative impact on employment growth in the construction sector, and results are mixed for other sectors such as:...
Tipo: Conference Paper or Presentation Palavras-chave: Employment growth; Inequality; Spatial dependence; Community/Rural/Urban Development; R0; R11; O15; D30.
Ano: 2009 URL: http://purl.umn.edu/49460
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Entry, Ownership Form, and Spatial Location: An Analysis of the Hotel Industry AgEcon
Helmers, Claes Gustav; Connor, John M.; Florax, Raymond J.G.M.; Vroom, Govert.
Replaced with revised version of paper 07/24/09.
Tipo: Conference Paper or Presentation Palavras-chave: Marketing.
Ano: 2009 URL: http://purl.umn.edu/49561
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EVOLUTION OF INVESTMENT FLOWS IN U.S. MANUFACTURING: A SPATIAL PANEL APPROACH AgEcon
Brown, Jason P.; Florax, Raymond J.G.M.; McNamara, Kevin T..
This paper is updated by the file at http://purl.umn.edu/54835
Tipo: Working or Discussion Paper Palavras-chave: Manufacturing; Investment; Location factors; Community/Rural/Urban Development; L60; R11; R30.
Ano: 2008 URL: http://purl.umn.edu/42502
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Farmland Allocation along the Rural-Urban Gradient: The Impacts of Urbanization and Urban Sprawl AgEcon
Delbecq, Benoit A.; Florax, Raymond J.G.M..
In the vicinity of a city, farmers are confronted with increasing agricultural land prices and rents along the rural-urban gradient, but they concurrently enjoy the advantages associated with proximity to a larger and wealthier consumer base. We hypothesize that farmers transition from low-value, land-intensive \traditional" crops to high-value, labor-intensive \specialized" crops on parcels located closer to urban centers. Once returns to development of a parcel exceed the profits associated with farming, exurban farmers may sell their land for conversion to urban use. Urban pressure in the rural-urban fringe intensifies as cities expand. We differentiate between a gradual process of urban growth (or urbanization) and urban sprawl. Utilizing farmland...
Tipo: Conference Paper or Presentation Palavras-chave: Land use; Urban sprawl; Agriculture; Specialized crops; Spatial econometrics; Community/Rural/Urban Development; Land Economics/Use; C31; O13; Q15; R14.
Ano: 2010 URL: http://purl.umn.edu/61723
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Field-Scale Experimental Designs and Spatial Econometric Methods for Precision Farming: Strip-Trial Designs for Rice Production Decision Making AgEcon
Griffin, Terry W.; Florax, Raymond J.G.M.; Lowenberg-DeBoer, James.
Site-specific data is spatially variable, precluding traditional econometric analysis. Some field-scale experimental designs present logistical, operational and mathematical problems in estimating treatment differences, specifically when adjacent observations are of different treatments such as with strip-trial designs. A modified spatial interaction structure is presented to analyze strip-trial designs with spatial econometrics.
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries.
Ano: 2006 URL: http://purl.umn.edu/35367
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Firm Birth and Death in U.S. Manufacturing: A Regional Adjustment Model AgEcon
Brown, Jason P.; Lambert, Dayton M.; Florax, Raymond J.G.M..
Attracting manufacturing investment is a frequently used rural development policy. Previous research in the location literature has informed policymakers which factors are most important for attracting new firm investment. Far less is known about the interaction of birth and death of establishments. A conceptual model of county-level investment in the U.S. manufacturing sector is developed from location theory and subsequent literature. Specifically, we test the relative importance of location factors influencing firm investment, and if these factors influence firm birth and death differently. Local factors include agglomeration due to localization, urbanization, and internal economies, market structure, labor quality, availability, and cost, market...
Tipo: Working or Discussion Paper Palavras-chave: Location determinants; Manufacturing; Count models; Community/Rural/Urban Development; Research Methods/ Statistical Methods; L60; R11; R12.
Ano: 2009 URL: http://purl.umn.edu/49467
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FLOODING RISK AND HOUSING VALUES: AN ECONOMIC ASSESSMENT OF ENVIRONMENTAL HAZARD AgEcon
Daniel, Vanessa; Florax, Raymond J.G.M.; Rietveld, Piet.
Climate change, the ‘boom and bust’ cycles of rivers, and altered water resource management practice have caused significant changes in the spatial distribution of the risk of flooding. Hedonic pricing studies, predominantly for the US, have assessed the spatial incidence of risk and the associated implicit price of flooding risk. Using these implicit price estimates and their associated standard errors, we perform a meta-analysis and find that houses located in the 100-year floodplain have a –0.3 to –0.8% lower price. The actual occurrence of a flooding event or increased stringency in disclosure rules causes ex ante prices to differ from ex post prices, but these effects are small. The marginal willingness to pay for reduced risk exposure has increased...
Tipo: Working or Discussion Paper Palavras-chave: Valuation; Environmental risk; Meta-analysis; Hedonic pricing; Environmental Economics and Policy; Land Economics/Use; D81; Q51; Q54.
Ano: 2007 URL: http://purl.umn.edu/7333
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GEOGRAPHIC AND INSTITUTIONAL DETERMINANTS OF REAL INCOME: A SPATIO-TEMPORAL SIMULTANEOUS EQUATION APPROACH AgEcon
Ngeleza, Guyslain K.; Florax, Raymond J.G.M.; Masters, William A..
This paper tests a series of prominent hypotheses regarding the determinants of per-capita income using a novel spatial econometric approach to control for spillovers among neighboring countries and for spatially correlated omitted variables. We use simultaneous equations to identify alternative channels through which country characteristics might affect income, and then test the robustness of those effects. We find support for both "institutionalist" and "geographic" determinants of income. A time-varying index of institutional quality has a strong independent effect on current income, but there is also a persistent effect of geographic factors such as seasonal frost, malaria transmission, and coastal location, which influence income through their links...
Tipo: Working or Discussion Paper Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/28663
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Geography and Economic Transition: Global Spatial Analysis at the Grid Cell Level AgEcon
Motamed, Mesbah J.; Florax, Raymond J.G.M.; Masters, William J..
This paper addresses the timing of historical transition from rural to urban activity. In our model, rural production has constant returns and meets subsistence needs, while urban production has scale economies and meets the demands of higher-income consumers. Urbanization occurs sooner when rural or urban productivity is higher or transport costs are lower. We test the model on worldwide data that divides the earth's surface at half-degree intervals into over 60,000 cells. From an independent estimate of each cell's rural and urban population history, we identify the date at which each cell achieves various thresholds of urbanization. Controlling for country fixed effects and neighbors' urbanization using spatial techniques, we find that the date at which...
Tipo: Conference Paper or Presentation Palavras-chave: Economic growth; Economic geography; Urbanization; Agriculture; Community/Rural/Urban Development; Research Methods/ Statistical Methods; C21; N50; O11; O18; R1.
Ano: 2009 URL: http://purl.umn.edu/49589
Registros recuperados: 34
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