SABIIA - Sistema Aberto e Integrado de Informação em Agricultura (Sabiia)

Truesdell, Marie K.; Bergstrom, John C.; Dorfman, Jeffrey H..

A hedonic model is used to measure the change in value of residential lots in Rockport, Texas, resulting from Section 404 of the U.S. Clean Water Act. Results show that average lot values initially decreased, went though a six-year adjustment period, and then stabilized on a higher price path resulting in a positive net effect on average lot values throughout the Rockport area (with the exception of a particular subdivision). The results indicate that Section 404 generated both regulatory "takings" and "givings," suggesting that both effects should be considered when assessing the benefits and costs of regulatory events and compensation claims.

Tipo: Journal Article

Palavras-chave: Clean Water Act Section 404; Hedonic price method; Interrupted time series; Regulatory takings and givings; Wetlands; Agricultural and Food Policy; C51; D61; R11; R21; Q15.

Ano: 2006

URL: http://purl.umn.edu/43791

Operational Models for Improving the Targeting Efficiency of Agricultural and Development Policies: A systematic comparison of different estimation methods using out-of-sample tests

Houssou, Nazaire; Zeller, Manfred.

Accurate targeting is key for the success of any development policy. While a number of factors might explain low targeting efficiency such as governance failure, political interference or lack of political will, this paper focuses on improving indicator-based models that identify poor households and smallholder farmers more accurately. Using stepwise regressions along with out-of-sample validation tests and receiver operating characteristic curves, this paper develops proxy means tests models for rural and urban Malawi. The models developed have proved their validity in an independent sample and therefore, can be used to target a wide range of development policies to the poor. This makes the models a potentially interesting policy tool for the country.

Inside the 'Black Box' of Project Star: Estimation of Peer Effects Using Experimental Data

Palavras-chave: Malawi; Poverty targeting; Predictions; Proxy means tests; Out-of-sample tests; ROC curve; Bootstrap; Agricultural and Food Policy; Agricultural Finance; Community/Rural/Urban Development; Food Security and Poverty; International Development; Political Economy; Research Methods/ Statistical Methods; C01; C13; C51; C52; I3; I32; Q14.

Ano: 2009

URL: http://purl.umn.edu/51454

Boozer, Michael A.; Cacciola, Stephen E..

The credible identification of endogenous peer group effects i.e. social multiplier or feedback effects has long eluded social scientists. We argue that such effects are most credibly identified by a randomly assigned social program which operates at differing intensities within and between peer groups. The data we use are from Project STAR, a class size reduction experiment conducted in Tennessee elementary schools. In these data, classes were comprised of varying fractions of students who had previously been exposed to the Small class treatment, creating class groupings of varying experimentally induced quality. We use this variation in class group quality to estimate the spillover effect. We find that when allowance is made for this feedback effect...

Discussion: Applications and Innovations in Spatial Econometrics

Palavras-chave: Peer effects; Data with a group structure; Organization of schooling; Experimental evidence; Teaching/Communication/Extension/Profession; Z13; C51; C81; I21; C23.

Ano: 2001

URL: http://purl.umn.edu/28524

Dynamic adjustments in the Dutch greenhouse sector due to environmental regulations

LeSage, James P..

These articles provide a discussion of studies presented in a session on spatial econometrics, focusing on the ability of spatial regression models to quantify the magnitude of spatial spillover impacts. Both articles presented argue that a proper modeling of spatial spillovers is required to truly understand the phenomena under study, in one case the impact of climate change on land values (or crop yields) and in the second the role of regional industry composition on regional business establishment growth.

Tipo: Journal Article

Palavras-chave: Lagged variables; Panel data; Spatial spillovers; Community/Rural/Urban Development; Environmental Economics and Policy; Resource /Energy Economics and Policy; C33; C51.

Ano: 2011

URL: http://purl.umn.edu/113519

Verreth, Daphne M.I.; Emvalomatis, Grigorios; Bunte, Frank H.J.; Oude Lansink, Alfons G.J.M..

Horticultural firms are dependent on energy to produce, while policy makers focus on reducing the use of energy and investment in energy-saving technologies. The paper aimed to asses Dutch greenhouse farmers‘ responses to policies that would affect prices of different energy inputs. The farmer’s behaviour is modelled in two steps: firms are assumed to maximize profit at given energy use level, and firms are assumed to minimize the discounted sum of energy costs. The model is estimated using farm survey data spanning the period 2001-2008. Short-run and long-run elasticities with respect to prices and investments in energy-using technology are estimated. The greenhouse sector shows a fast adjustment of energy capital towards its long-run equilibrium. This...

APPLYING A METHOD OF PAIRED COMPARISONS TO MEASURE ECONOMIC VALUES FOR MULTIPLE GOODS SETS

Palavras-chave: Greenhouse horticulture; Energy; Dynamic duality; Adjustment costs; Agricultural and Food Policy; C51; C61; D92; Q12; Q18; Q48..

Ano: 2011

URL: http://purl.umn.edu/99364

Rosenberger, Randall S.; Peterson, George L.; Loomis, John B..

A method of paired comparison is adapted for use in estimating economic measures of value. The method elicits multiple binary choices for paired items in a choice set. Probability distributions and economic values are estimated nonparametrically and parametrically. The method is applied in an experimental context with a choice set composed of four private goods and several sums of money. The sample's median value estimtes for the goods are generally not different than the market prices for these goods. People who are in the market for a good value it higher than those not in the market for the good.

Tipo: Journal Article

Palavras-chave: Alternative gains; Economic valuation; Hypothetical market; Paired comparisons; Stated choice method; Research Methods/ Statistical Methods; C51; C80; D12; Q26.

Ano: 2002

URL: http://purl.umn.edu/15516

Weather-Based Crop Insurance Contracts for African Countries

Karuaihe, Raphael N.; Wang, H. Holly; Young, Douglas L..

Weather constitutes the major source for production risk in agriculture. Weather index can be used construct crop insurance that demand less information and can avoid moral hazard and adverse selection problems. Based on mean-variance model, theoretical results on the optimal insurance coverage and its impact from risk preference, basis risk, and premium loading are derived, which are quite consistent to the empirical results from the expected utility model. Using South Africa corn data, we investigate growers' demand and efficiency of alternative hypothetical weather index crop insurance programs. In contrast to previous work that suggests that a single-variable weather index suffices to develop an insurance contract, this study shows that the insured...

A Flexible Multistage Demand System Based on Indirect Separability

Palavras-chave: Risk and Uncertainty; C51; C61; G22; Q14.

Ano: 2006

URL: http://purl.umn.edu/25378

Moschini, GianCarlo.

The notion of indirect separability is exploited to derive a new multistage demand system. The model allows a consistent parameterization of demand relations at various budgeting stages and it fulfills the requirement of flexibility while satisfying separability globally. Two propositions are derived to characterize flexible and separable functional forms, which lead to the specification of a flexible and separable translog (FAST) demand system. The model is particularly attractive for modeling large complete demand systems, and is illustrated with an application to Canadian food demand.

EFFECTS OF OWNERSHIP RESTRICTIONS ON FARMLAND VALUES IN SASKATCHEWAN

Palavras-chave: Research Methods/ Statistical Methods; D11; D12; C51.

Ano: 2000

URL: http://purl.umn.edu/18514

Adapting agriculture to climate change

Carlberg, Jared G..

Restrictions on the ownership of farmland by nonresidents of Saskatchewan were imposed by the Farmland Security Act (FSA) in 1974. The FSA has been blamed by some observers for depressed provincial land values. An adaptive expectations present value model is developed to estimate the effects of the FSA, with the province of Alberta included as a control. Results of seemingly unrelated regressions and generalized autoregressive conditional hetereoscedasticity estimates find no statistically significant effect of the FSA on the value of land in Saskatchewan. This may indicate that the effect of the regulatory change is too small to be measured accurately.

Tipo: Journal Article

Palavras-chave: Adaptive expectations; Farmland Security Act; Generalized autoregressive conditional heteroscedasticity; Present value; Seemingly unrelated regressions; Land Economics/Use; C51; G21; Q18.

Ano: 2002

URL: http://purl.umn.edu/15473

Alternative Theories and Empirical Approaches to Price Discovery: An Application to Fed Cattle

Iglesias, Ana; Quiroga, Sonia; Diz, Agustin; Garrote, Luis.

We evaluate the potential impacts and measure the potential limits of adaptation of agriculture to climate change. Pressures on land and water resources are expected to intensify existing risks in low latitude areas – e.g., South-East Asia deltas – and in regions with current water scarcity – e.g. Mediterranean, and create new opportunities in some northern temperate areas – e.g., Northern Russia, Northern Europe. The need to respond to these risks and opportunities is addressed by evaluating the costs and benefits of a number of technical and policy actions. The discussion aims to assist stakeholders facing the adaptation challenge and develop measures to reduce the vulnerability of the sector to climate change.

Tipo: Article

Palavras-chave: Adaptation; Climatic change; Global production; Mitigation; Agricultural and Food Policy; Crop Production/Industries; Land Economics/Use; Resource /Energy Economics and Policy; C51; C53; Q17; Q18.

Ano: 2011

URL: http://purl.umn.edu/120200

Carlberg, Jared G.; Ward, Clement E..

Price discovery is a frequent topic of research, but many times is not clearly defined and thus purported to cover a myriad of topics. This article provides two alternative theories as the basis for one line of price discovery research. Empirical models consistent with the two theories are estimated using a common data set. Empirical results differ as expected. This article evidences why the theoretical basis for an empirical model depends on clearly defining the objective(s) of the research.

Tipo: Journal Article

Palavras-chave: Derived demand; Fed cattle; Partial adjustment model; Price discovery; Q13; Q11; Q12; C51; C22.

Ano: 2003

URL: http://purl.umn.edu/43201

Business Establishment Growth in the Appalachian Region, 2000-2007: An Application of Smooth Transition Spatial Process Models

Xu, Wan; Lambert, Dayton M..

Business establishment growth in the Appalachian region (2000–2007) was regressed on industry sector composition controlling for demographic, physical, and economic determinants. We test the hypothesis that local response to growth determinants is geographically heterogeneous using Smooth Transition spatial process models. This class of models exhibiting endogenous regime switching behavior provides another tool for exploring the spatially heterogeneous effects of local determinants on economic growth.

Tipo: Journal Article

Palavras-chave: Appalachia; Business establishment growth; Smooth transition models; Spatial processes; Community/Rural/Urban Development; C21; C51; O47; R11.

Ano: 2011

URL: http://purl.umn.edu/113517

Modeling Non-Linear Spatial Dynamics: A Family of Spatial STAR Models and an Application to U.S. Economic Growth

Pede, Valerien O.; Florax, Raymond J.G.M.; Holt, Matthew T..

This paper investigates non-linearity in spatial processes models and allows for a gradual regime-switching structure in the form of a smooth transition autoregressive process. Until now, applications of the smooth transition autoregressive (STAR) model have been largely confined to the time series context. The paper focuses on extending the non-linear smooth transition perspective to spatial processes models, in which spatial correlation is taken into account through the use of a so-called weights matrix identifying the topology of the spatial system. We start by deriving a non-linearity test for a simple spatial model, in which spatial correlation is only included in the transition function. Next, we propose a non-linearity test for a model that includes...

A Spatiotemporal Fixed Effects Estimation of U.S. State-Level Carbon Dioxide Emissions

Palavras-chave: Spatial econometrics; Non-linearity; Utoregressive smooth transition; Research Methods/ Statistical Methods; C12; C21; C51; O18; R11.

Ano: 2008

URL: http://purl.umn.edu/6518

Burnett, J. Wesley; Bergstrom, John C..

One of the major shortcommings of past environmental Kuznets curve (EKC) studies is that the spatiotemporal aspects within the data have largely been ignored. By ignoring the spatial aspect of pollution emissions past estimates of the EKC implicitly assume that a region’s emissions are unaffected by events in neighboring regions (i.e., assume there are no transboundary pollution emissions between neighbors). By ignoring the spatial aspects within the data several past estimates of the EKC could have generated biased or inconsistent regression results. By ignoring the temporal aspect within the data several past estimates of the EKC could have generated spurious regression results or misspecified t and F statistics. To address this potential...

Bargaining over governments in a stochastic environment

Palavras-chave: Pollution Economics; Environmental Kuznets Curve; Spatial Econometrics; Dynamic Panel Data; Carbon Dioxide Emissions; Global Climate Change; Environmental Economics and Policy; Research Methods/ Statistical Methods; Resource /Energy Economics and Policy; C33; C51; Q43; Q50; Q53; Q58.

Ano: 2011

URL: http://purl.umn.edu/103580

Merlo, Antonio.

In this paper we structurally estimate a game-theoretic model of government formation in a multiparty parliamentary democracy. We focus on the timing and the terms of government agreements in the context of a multilateral stochastic model of sequential bargaining with complete information (Merlo and Wilson (1194, 1995)) where efficient delays may occur in the unique equilibrium. Besides showing that our model yields a good fit to the data on the duration of negotiations over government formation as well as government durations in postwar Italy, we use our estimates to quantify the advantage to proposing and to conduct policy experiments to evaluate the effects of changes in the bargaining procedure. We show that the gains from proposing tend to be quite...

An Assessment of Dynamic Behavior in the U.S. Catfish Market: An Application of the Generalized Dynamic Rotterdam Model

Palavras-chave: Noncooperative bargaining; Delay; Government formation; Structural estimation; Duration models.; Political Economy; C41; C51; C73; C78; D72.

Ano: 1996

URL: http://purl.umn.edu/7476

Muhammad, Andrew; Jones, Keithly G..

The generalized dynamic Rotterdam model was used in estimating U.S. demand for disaggregated catfish. The overall goal was to examine habit persistence in consumption and to determine the adjustment process in demand. Results indicated that it took up to 1 month for catfish-product demand to fully adjust to changes in expenditures and prices. Additionally, habit persistence played a role in demand where present consumption of a given product was positively affected by past consumption of that product. Consequently, U.S. catfish demand was significantly more elastic in the long-run.

Tipo: Journal Article

Palavras-chave: Catfish; Demand; Dynamics; Partial adjustment; Rotterdam model; Agribusiness; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Institutional and Behavioral Economics; C51; Q11; Q13; Q17.

Ano: 2009

URL: http://purl.umn.edu/56660

PARAMETER ESTIMATION FOR A COMPUTABLE GENERAL EQUILIBRIUM MODEL: A MAXIMUM ENTROPY APPROACH

Arndt, Channing; Robinson, Sherman; Tarp, Finn.

We introduce a maximum entropy approach to parameter estimation for computable general equilibrium (CGE) models. The approach applies information theory to estimating a system of nonlinear simultaneous equations. It has a number of advantages. First, it imposes all general equilibrium constraints. Second, it permits incorporation of prior information on parameter values. Third, it can be applied in the absence of copious data. Finally, it supplies measures of the capacity of the model to reproduce the historical record and the statistical significance of parameter estimates. The method is applied to estimating a CGE model of Mozambique.

Estimating Large-Scale Factor Models for Economic Activity in Germany: Do They Outperform Simpler Models?

Palavras-chave: Maximum entropy; Computable general equilibrium; CGE; Prior information; Mozambique.; Research Methods/ Statistical Methods; C51; C68.

Ano: 2001

URL: http://purl.umn.edu/42456

Dreger, Christian; Schumacher, Christian.

This paper discusses a large-scale factor model for the German economy. Following the recent literature, a data set of 121 time series is used via principal component analysis to determine the factors, which enter a dynamic model for German GDP. The model is compared with alternative univariate and multivariate models. These models are based on regression techniques and considerably smaller data sets. Out-of-sample forecasts show that the prediction errors of the factor model are smaller than the errors of the rival models. However, these advantages are not statistically significant, as a test for equal forecast accuracy shows. Therefore, the efficiency gains of using a large data set with this kind of factor models seem to be limited. Diese Arbeit...

An Ordinal Regression Model using Dealer Satisfaction Data

Palavras-chave: Factor models; Principal components; Forecasting accuracy; International Development; E32; C51; C43.

Ano: 2002

URL: http://purl.umn.edu/26321

Staus, Alexander.

This article analyses dealer satisfaction data in the agricultural technology market in Germany. The dealers could rate their suppliers in the ’overall satisfaction’ and in 38 questions which can be summarized in 8 dimensions. An ordinal regression model which is also known as the proportional odds model is used to analyse the ordinal scaled rating of the dealers. The ordinal regression model is a well examined method in econometric theory, but many authors prefer using a linear regression model due to better interpretation, even the assumptions of a linear regression do not fit the data. Since the estimated coefficients of an ordinal regression model can not be properly interpreted we show other methods for a better insight of the relationship of the...

Slovak Agricultural Markets Under Alternative CAP Scenarios - AG-MEMOD Modelling Approach

Palavras-chave: Keywords: ordinal regression; Dealer satisfaction; Interpretation; Agricultural and Food Policy; Marketing; C25; C51; Q13.

Ano: 2007

URL: http://purl.umn.edu/98632

Pokrivcak, Jan; Bartova, Lubica; Ciaian, Pavel.

Slovak sectoral partial equilibrium econometric model based on AG-MEMOD approach is used to analyse the development of the Slovak agricultural markets after EU accession. Simulation results for cereals, oilseeds and meats are provided in this article. Two scenarios are analysed: non-accession baseline and accession with adoption of single area payment scheme. EU accession is expected to increase prices of most products, the biggest increase of prices will occur in animal sector. Because of higher prices consumption will go down. Decrease of consumption will be mitigated by income growth. Production will not increase substantially due to decoupling of direct payments. Trade balance for majority of products will improve.