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Registros recuperados: 28
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Adoption of Site-Specific Information and Variable-Rate Technologies in Cotton Precision Farming AgEcon
Roberts, Roland K.; English, Burton C.; Larson, James A.; Cochran, Rebecca L.; Goodman, W. Robert; Larkin, Sherry L.; Marra, Michele C.; Martin, Steven W.; Shurley, W. Donald; Reeves, Jeanne M..
Probit analysis identified factors that influence the adoption of precision farming technologies by Southeastern cotton farmers. Younger, more educated farmer who operated larger farms and were optimistic about the future of precision farming were most likely to adopt site-specific information technology. The probability of adopting variable-rate input application technology was higher for younger farmers who operated larger farms, owned more of the land they farmed, were more informed about the costs and benefits of precision farming, and were optimistic about the future of precision farming. Computer use was not important, possibly because custom hiring shifts the burden of computer use to agribusiness firms.
Tipo: Journal Article Palavras-chave: Cotton; Grid soil sampling; Precision farming; Probit; Sample selection; Site-specific information; Technology adoption; Variable-rate application; D21; Q12; Q16.
Ano: 2004 URL: http://purl.umn.edu/42943
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An analysis of household farm investment decisions under varying land tenure arrangements in Ghana JARTS
Ayamga, Michael; Yeboah, Richard W. Nartey; Ayambila, Sylvester Nsobire.
Land tenure insecurity is widely perceived as a disincentive for long-term land improvement investment hence the objective of this paper is to evaluate how tenure (in)security associated with different land use arrangements in Ghana influenced households’ plot level investment decisions and choices. The paper uses data from the Farmer-Based Organisations (FBO) survey. The FBO survey collected information from 2,928 households across three ecological zones of Ghana using multistaged cluster sampling. Probit and Tobit models tested the effects of land tenancy and ownership arrangements on households’ investment behaviour while controlling other factors. It was found that marginal farm size was inversely related to tenure insecurity while tenure insecurity...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Agribusiness Ghana; Land tenure; Soil improvement; Investment decision; Probit.
Ano: 2016 URL: http://www.jarts.info/index.php/jarts/article/view/2015120349476
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An Extension of the Blinder-Oaxaca Decomposition Technique to Logit and Probit Models AgEcon
Fairlie, Robert W..
The Blinder-Oaxaca decomposition technique is widely used to identify and quantify the separate contributions of group differences in measurable characteristics, such as education, experience, marital status, and geographical differences to racial and gender gaps in outcomes. The technique cannot be used directly, however, if the outcome is binary and the coefficients are from a logit or probit model. I describe a relatively simple method of performing a decomposition that uses estimates from a logit or probit model. Expanding on the original application of the technique in Fairlie (1999), I provide a more thorough discussion of how to apply the technique, an analysis of the sensitivity of the decomposition estimates to different parameters, and the...
Tipo: Working or Discussion Paper Palavras-chave: Logit; Probit; Decomposition; Race; Gender; Discrimination; Research Methods/ Statistical Methods; C8; J7.
Ano: 2003 URL: http://purl.umn.edu/28425
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Arkansas Landlord Selection of Land-Leasing Contract Type and Terms AgEcon
Rainey, Ronald L.; Dixon, Bruce L.; Ahrendsen, Bruce L.; Parsch, Lucas D.; Bierlen, Ralph W..
Land leasing is a major source of the land input to production agriculture. Responses from a survey of landlords leasing crop land in Arkansas are analyzed to better understand those factors motivating landlords in the type of lease they select and the terms of those leases. Probit models are estimated to determine the relative importance of variables representing credit constraint, agency problem, and risk aversion factors. Regression models then estimate the impact of site, landlord, and tenant characteristics on contract terms – the percentage of crop and cost sharing arrangements between landlord and tenant. Probit results suggest credit constraint factors influence lease-type selection. Risk aversion, managerial ability, and social capital factors are...
Tipo: Journal Article Palavras-chave: Land leasing; Probit; Contract; Production agriculture; Land Economics/Use.
Ano: 2005 URL: http://purl.umn.edu/8175
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Awareness of and Application to the Environmental Quality Incentives Program By Cow–Calf Producers AgEcon
Obubuafo, Joyce; Gillespie, Jeffrey M.; Paudel, Krishna P.; Kim, Seon-Ae.
This study uses a bivariate probit model with partial observability to examine Louisiana beef producers’ awareness of the Environmental Quality Incentives Program (EQIP) and how awareness translates to application to the program. Results indicate that awareness of and application to the EQIP depend on portion of income derived from off-farm sources, extent of previous best management practice adoption at one’s own expense, household income, farmed land that is highly erodible, contact with Natural Resource Conservation Service and extension service personnel, and producer age.
Tipo: Journal Article Palavras-chave: BMPs; Bivariate probit; EQIP; Probit; Agribusiness; Environmental Economics and Policy; Livestock Production/Industries; Q12; Q16; Q18.
Ano: 2008 URL: http://purl.umn.edu/45531
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Boolean logit and probit in Stata AgEcon
Braumoeller, Bear F..
This paper introduces new statistical models, Boolean logit and probit, that allow researchers to model binary outcomes as the results of Boolean interactions among independent causal processes. Each process (or “causal path”) is modeled as the unobserved outcome in a standard logit or probit equation, and the dependent variable is modeled as the observed product of their Boolean interaction. Up to five causal paths can be modeled, in any combination—A and B and C produce Y, A and (B or [C and D]) produce Y, etc.
Tipo: Journal Article Palavras-chave: Mlboolean; Dichotomous dependent variable; Boolean; Logit; Probit; Multiple causal paths; Complexity; Random utility; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116271
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Characterization of factors determining the consumption of pork in the Metropolitan Area of the Valley of Mexico R. Bras. Zootec.
Delgado,Ricardo Tellez; Flores,José Saturnino Mora; Damián,Miguel Ángel Martínez; Cazares,Aleida Selene Hernández; Mata,Roberto García.
ABSTRACT The objective of the present study was to learn the characteristics that affect pork meat consumption in the Valley of Mexico Metropolitan Area. Qualitative regression models (Logit and Probit) were used, and a survey of 440 consumers was carried out. The results showed that the sample of pork consumers was made up mostly of women (91.1%) aged between 30 and 59 years and families consisting of three or four persons. The variables that condition the consumption of this type of meat are the number of members in the family, generalized chicken meat consumption, level of household income, price of the product, and illnesses that restrict its consumption. The greatest marginal effects were caused by the following variables: level of family income and...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Consumer perception; Logit; Marginal effects; Pork meat; Probit.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982018000100709
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Computing interaction effects and standard errors in logit and probit models AgEcon
Norton, Edward C.; Wang, Hua; Ai, Chunrong.
This paper explains why computing the marginal effect of a change in two variables is more complicated in nonlinear models than in linear models. The command inteff computes the correct marginal effect of a change in two interacted variables for a logit or probit model, as well as the correct standard errors. The inteff command graphs the interaction effect and saves the results to allow further investigation.
Tipo: Journal Article Palavras-chave: Inteff; Interaction terms; Logit; Probit; Nonlinear models; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116235
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DETERMINANTS OF HOUSEHOLD HURRICANE EVACUATION CHOICE IN FLORDIA AgEcon
Solis, Daniel; Thomas, Michael H.; Letson, David.
In this study we implement a set of econometric models to analyze the determinants of household hurricane evacuation choice for a sample of 1,355 households in Florida. This article contributes to the literature by accounting for two issues normally neglected in previous studies; namely, time and space. The empirical results suggest that households living in risky environments (mobile home and flooding areas) are more likely to evacuate. In addition, households with kids and those who have experience the treat of a hurricane also display higher probabilities to evacuate. Conversely, homeowners and households with pets are less likely to evacuate than their counterparts. Regional differences in propensity to evacuate are also clearly demonstrated, with...
Tipo: Conference Paper or Presentation Palavras-chave: Hurricane; Evacuation choice; Probit; Environmental Economics and Policy; Risk and Uncertainty.
Ano: 2008 URL: http://purl.umn.edu/45338
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EXPLORING INFLUENCING FACTORS ON MEAT CONSUMPTION DECISIONS THROUGH PROBIT ANALYSIS: THE CASE OF FRESH MEAT DEMAND IN BELGIUM AgEcon
Verbeke, Wim; Ward, Ronald W.; Viaene, Jacques.
Meat demand in Belgium has shown significant changes, especially with recent concerns about meat safety. Probit models are estimated to measure factors influencing consumer decision-making toward fresh meat. The probability of decreasing fresh meat consumption increases with greater attention to mass media stories. Demographics have a major impact, with age and presence of young children being particularly important.
Tipo: Conference Paper or Presentation Palavras-chave: Fresh meat; Probit; Belgium; Consumer behavior; BSE; Consumer/Household Economics; Food Consumption/Nutrition/Food Safety.
Ano: 1999 URL: http://purl.umn.edu/21540
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Factors affecting beef consumption in the valley of Mexico R. Bras. Zootec.
Delgado,Ricardo Tellez; Flores,José Saturnino Mora.
ABSTRACTThe objective of this study was to know the factors that determine the consumption of beef in the Metropolitan Area of the Valley of Mexico, using logit and probit modeling (nominal variable) with 400 surveys. The results showed that significant variables that determine the probability of purchasing beef are schooling, number of members per family, meat preference, family income, and presence of disease in the individual. The largest marginal effects on the purchase decision were provided by the income and the meat preference variables, while the price was not significant. The main factors that determine the consumption of beef are schooling and the number of members in the family, while the meat preference and income are dismissed.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Consumer; Logit; Meat; Model; Probit.
Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982015001000371
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FACTORS INFLUENCING FARMERS' SELECTION OF A MILK HANDLER AgEcon
Kilmer, Richard L.; Lee, Jonq-Ying; Carley, Dale H..
A structural probit model is estimated to determine the change in the probability of selecting a milk handler. Cooperatives are thought to have lower prices and higher deductions than independent milk handlers and these factors reduce the probability that a farmer will select a cooperative by 0.39 and 0.32. Cooperatives are thought to have better services and an assured market and payment than independent mile handlers and these factors increase the probability that a farmer will select a cooperative by 0.20 and 0.26. This indicates that many cooperative members value monetary characteristics over non-monetary characteristics.
Tipo: Journal Article Palavras-chave: Cooperatives; Processors; Attributes; Selection; Probit; Dairy; Livestock Production/Industries.
Ano: 1994 URL: http://purl.umn.edu/15174
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Farmers’ strategies for adapting to climate change in Ogbomoso agricultural zone of Oyo state AgEcon
Ajao, A.O.; Ogunniyi, L.T..
The climate is changing and global mean temperatures have increased this is expected to have profound effects on food security. Long-term changes in climate will disproportionately affect tropical regions, meaning poor farmers in Sub-Saharan Africa will likely bear the brunt of adverse impacts. Adaptation plays an important role in reducing vulnerability to climate change and is therefore critical and of concern in developing countries, particularly in Africa where vulnerability is high because ability to adapt is low. This study examined farmers’ strategies for adapting to climate change in Ogbomoso agricultural zone of Oyo State of Nigeria. One hundred and fifty farmers were interviewed to obtain information from using a multistage sampling procedure....
Tipo: Journal Article Palavras-chave: Climate; Probit; Mulchin; Adaptation; Agricultural and Food Policy; Environmental Economics and Policy; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; GA; IN.
Ano: 2011 URL: http://purl.umn.edu/116378
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Information Cost: A Prior Hurdle to Exporting AgEcon
Wei, Xuan; Thornsbury, Suzanne.
This paper empirically investigates how information cost, as part of trade costs, affects the decision of an individual firm to export. We use cross section firm-level data to examine how the difficulty of obtaining information on technical regulations in the European Union (EU) and the United States actually reduces firm incentives to export to these two destinations. Results suggest that increased information cost significantly reduces the probability of exporting for an individual firm, beyond tariff and other nontariff barriers.
Tipo: Conference Paper or Presentation Palavras-chave: Information cost; Probit; Technical barriers to trade; Industrial Organization; International Relations/Trade; Political Economy.
Ano: 2009 URL: http://purl.umn.edu/51745
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Information Cost As A Prior Hurdle to Exporting AgEcon
Wei, Xuan; Thornsbury, Suzanne.
In this paper, we empirically assess how information cost, as one component of trade costs, impacts the decision of an individual firm to export. Firm-level data measuring the difficulty of obtaining information about technical regulations in the European Union (EU) and the United States is used as a proxy for information cost to evaluate reduction in firm incentives to export. Results suggest that information cost significantly reduces the likelihood of exporting to these two destinations. Negative impacts are relatively larger for a firm exporting to the United States than to the EU.
Tipo: Conference Paper or Presentation Palavras-chave: Information cost; Trade costs; Non-tariff; Technical barriers to trade; Probit; International Relations/Trade; Political Economy; F14; L25.
Ano: 2011 URL: http://purl.umn.edu/103622
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Intra-class correlation in random-effects models for binary data AgEcon
Rodriguez, German; Elo, Irma.
We review the concept of intra-class correlation in random-effects models for binary outcomes as estimated by Stata’s xtprobit, xtlogit, and xtclog. We consider the usual measures of correlation based on a latent variable formulation of these models and note corrections to the last two procedures. We also discuss alternative measures of association based on manifest variables or actual outcomes and introduce a new command xtrho for computing these measures for all three types of models.
Tipo: Journal Article Palavras-chave: Intra-class correlation; Random-effects; Probit; Logit; Complementary log-log; Pearson's r; Yule's Q; Research Methods/ Statistical Methods.
Ano: 2002 URL: http://purl.umn.edu/116030
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Maximum likelihood estimation of endogenous switching and sample selection models for binary, ordinal, and count variables AgEcon
Miranda, Alfonso; Rabe-Hesketh, Sophia.
Studying behavior in economics, sociology, and statistics often involves fitting models in which the response variable depends on a dummy variable—also known as a regime-switch variable—or in which the response variable is observed only if a particular selection condition is met. In either case, standard regression techniques deliver inconsistent estimators if unobserved factors that affect the response are correlated with unobserved factors that affect the switching or selection variable. Consistent estimators can be obtained by maximum likelihood estimation of a joint model of the outcome and switching or selection variable. This article describes a “wrapper” program, ssm, that calls gllamm (Rabe-Hesketh, Skrondal, and Pickles, GLLAMM Manual [University...
Tipo: Journal Article Palavras-chave: Endogenous switching; Sample selection; Binary variable; Count data; Ordinal variable; Probit; Poisson regression; Adaptive quadrature; Gllamm; Wrapper; Ssm; Research Methods/ Statistical Methods.
Ano: 2006 URL: http://purl.umn.edu/117582
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PROGRAM PARTICIPATION BEHVAIOR OF NONINDUSTRIAL FOREST LANDOWNERS: A PROBIT ANALYSIS AgEcon
Nagubadi, Venkatarao; McNamara, Kevin T.; Hoover, William L.; Mills, Walter L., Jr..
This study provides an analysis of nonindustrial private forest (NIPF) landowners' participation in forestry assistance programs. A probit model was used for data collected from a random sample of 329 Indiana landowners. The analysis revealed that total land owned, commercial reasons for ownership, government sources of information, and membership in forestry organizations influenced NIPF landowners' program participation. Age, fear of loss of property rights, and duration since the first wooded tract was acquired also influenced program participation. Location of landowners' residence on their wooded land and landowners' knowledge of and willingness to participate in a conservation easement influenced the participation in cost –share programs.
Tipo: Journal Article Palavras-chave: Classified forestry programs; Cost-share programs; Nonindustrial private forest landowners; Participation behavior; Probit; Land Economics/Use.
Ano: 1996 URL: http://purl.umn.edu/15126
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Simplified Marginal Effects in Discrete Choice Models AgEcon
Anderson, Soren T.; Newell, Richard G..
We show that after a simple normalization of explanatory variables so that they equal zero at some desired reference point, marginal effects for continuous variables in probit and logit models simplify dramatically, becoming a function of only the estimated constant term. We present similar simplifications for computation of the asymptotic variance of marginal effects, as well as for the effects of dummy variables on predicted probabilities. We provide a simple table, which in combination with raw probit or logit estimates, is all one needs to compute the desired effects.
Tipo: Working or Discussion Paper Palavras-chave: Logit; Probit; Discrete choice; Binary choice; Marginal effect; Data normalization; Research Methods/ Statistical Methods; C25; C51; C81.
Ano: 2003 URL: http://purl.umn.edu/10631
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Tax-Deferred Retirement Savings of Farm Households: An Empirical Investigation AgEcon
Mishra, Ashok K.; Chang, Hung-Hao.
This study examines factors affecting tax-deferred retirement savings among farm households. A double-hurdle model is estimated using 2003 Agricultural Resource Management Survey (ARMS) farm-level national data. Results indicate that demographic factors, total household income, off-farm work, and risk preference play important roles in retirement savings plan participation. Retirement savings increase with household size, intensity of off-farm work by farm operator and spouse, and size of farming operation. We find that the amount of retirement savings decreases with operator’s age and increases with spouse’s age, and that cash grain and dairy farmers have lower retirement savings.
Tipo: Journal Article Palavras-chave: Double-hurdle estimation; Farm households; Probit; Retirement savings; Risk preference; Total household income; Agricultural Finance; Consumer/Household Economics.
Ano: 2011 URL: http://purl.umn.edu/105545
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