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A Panel Data Analysis of the Repayment Capacity of Farmers AgEcon
Durguner, Sena.
Using a balanced panel of 264 unique Illinois farmers from 2000 to 2004, this study identifies the most pertinent factors that explain the repayment capacity of farmers. After correcting for endogeneity bias caused by farmer-specific effects, one year lagged debt-to-asset ratio and soil productivity are both found to be significantly correlated with the coverage ratio at the 5% significance level using random effects. The finding is significant because it can enhance agricultural lenders’ ability to assess creditworthiness, screen borrowers, manage loan loss reserves, and price loans, thereby decreasing lenders’ costs associated with defaulted loans and ultimately reducing the costs borne by the government and taxpayers.
Tipo: Conference Paper or Presentation Palavras-chave: Panel data; Random effects; Coverage ratio; Financial efficiency; Solvency; Liquidity; Repayment capacity; Profitability; Creditworthiness; Agricultural Finance.
Ano: 2007 URL: http://purl.umn.edu/9361
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A two-stage biomass random effects model for stock assessment without catches: What can be estimated using only biomass survey indices? ArchiMer
Trenkel, Verena.
A simple two-stage biomass random effects population dynamics model is presented for carrying out fish stock assessments based on survey indices using no commercial catch information. Recruitment and biomass growth are modelled as random effects, reducing the number of model parameters while maintaining model flexibility. No assumptions regarding natural mortality rates are required. The performance of the method was evaluated using simulated data with emphasis on identifying parameter redundancy, which showed that the variance of the biomass growth random effect might only be estimable if large (> 0.2). The full and two nested models were fitted to European anchovy (Engraulis encrasicolus) in the Bay of Biscay using two survey series. The best-fitting...
Tipo: Text Palavras-chave: Survey based assessment; Population state; Random effects.
Ano: 2008 URL: http://archimer.ifremer.fr/doc/2008/publication-4565.pdf
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Addressing scope of inference for global genetic evaluation of livestock R. Bras. Zootec.
Tempelman,Robert John.
Genetic evaluations should become more accurate with the advent of whole genome selection (WGS) based on high density SNP panels. The use of WGS should then accelerate genetic gains for production traits given likely decreases in generation interval due to the greater intent to select more animals based just on their genotypes rather than phenotypes. However, past and current genetic evaluations may not generally connect well to the intended scope of inference. For example, estimating haplotype effects from the data of a single reference population does not bode well for the use of WGS in other diverse environments since the scope of inference is too narrow; conversely, WGS based on estimates, for example, derived from daughter yield deviations of dairy...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Bayesian inference; Genotype by environment interaction; Heterogeneous variances; Mixed effects models; Multiple traits; Random effects.
Ano: 2010 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982010001300029
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Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements AgEcon
Campbell, Danny.
This paper reports the findings from a discrete choice experiment study designed to estimate the economic benefits associated with rural landscape improvements in Ireland. Using a mixed logit model, the panel nature of the dataset is exploited to retrieve willingness to pay values for every individual in the sample. This departs from customary approaches in which the willingness to pay estimates are normally expressed as measures of central tendency of an a priori distribution. In a different vein from analysis conducted in previous discrete choice experiment studies, this paper uses random effects models for panel data to identify the determinants of the individual-specific willingness to pay estimates. In comparison with the standard methods used to...
Tipo: Conference Paper or Presentation Palavras-chave: Agri-environment; Discrete choice experiments; Mixed logit; Panel data; Random effects; Willingness to pay; Demand and Price Analysis; Environmental Economics and Policy; C33; C35; Q24; Q51.
Ano: 2007 URL: http://purl.umn.edu/7975
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Measuring the Contribution of Genetic Characteristics as an Indicator of Innovation: The Case of Corn in the USA, 1990-2009 AgEcon
Nolan, Elizabeth; Santos, Paulo.
Intellectual Property Rights (IPR) regimes for plant breeding are generally justified on the basis that they encourage innovation. Introduction of IPR regimes for plant varieties in the United States has led to increased concentration, but it is less clear whether IPRs have promoted useful innovation, as measured by productivity of available corn hybrids. There are difficulties in finding a satisfactory measure of innovation in plant breeding, and in this paper we propose a procedure. Results from the annual corn hybrid trials conducted by 11 US universities over the 20 years from 1990 to 2009, at 365 separate locations in the 11 states, have been collated. This set of unbalanced panel data for grain corn hybrid trials has been used in a fixed effects...
Tipo: Conference Paper or Presentation Palavras-chave: Hybrid seed corn; GM traits; Varietal change; Fixed effects; Random effects; Crop Production/Industries; Research and Development/Tech Change/Emerging Technologies; O33; O34.
Ano: 2010 URL: http://purl.umn.edu/61333
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Mixed-effects growth curves in the valuation of Nellore sires Scientia Agricola
Giolo,Suely Ruiz; Henderson,Robin; Demétrio,Clarice Garcia Borges.
Cattle breeding programmes need objective criteria in order to evaluate and subsequently improve production systems. This work uses a logistic growth curve model for evaluating sires based on their progeny weight measured repeatedly over time. The parameters of the curve are described as a linear function of fixed and random effects. A Bayesian approach is used for the estimation. Analysis of the weights recorded on animals of the Nellore breed shows that growth curve models with fixed and random effects can be useful to evaluate and selecting sires.
Tipo: Info:eu-repo/semantics/article Palavras-chave: Beef cattle; Logistic model; Longitudinal data; Random effects.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000100012
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Parametric frailty and shared frailty survival models AgEcon
Gutierrez, Roberto G..
Frailty models are the survival data analog to regression models, which account for heterogeneity and random effects. A frailty is a latent multiplicative effect on the hazard function and is assumed to have unit mean and variance θ, which is estimated along with the other model parameters. A frailty model is an heterogeneity model where the frailties are assumed to be individual- or spell-specific. A shared frailty model is a random effects model where the frailties are common (or shared) among groups of individuals or spells and are randomly distributed across groups. Parametric frailty models were made available in Stata with the release of Stata 7, while parametric shared frailty models were made available in a recent series of updates. This article...
Tipo: Journal Article Palavras-chave: Parametric survival analysis; Frailty; Random effects; Overdispersion; Heterogeneity; Research Methods/ Statistical Methods.
Ano: 2002 URL: http://purl.umn.edu/115948
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