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Published in 2018 at "Empirical Economics"
DOI: 10.1007/s00181-017-1409-0
Abstract: This paper proposes a generalized spatial panel-data probit model with spatial autocorrelation of the dependent variable, the time-invariant individual shocks, and the remainder disturbances. It proposes its estimation with a Bayesian Markov chain Monte Carlo…
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Keywords:
generalized spatial;
spatial autocorrelation;
autocorrelation;
probit model ... See more keywords
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Published in 2017 at "Crop Protection"
DOI: 10.1016/j.cropro.2017.05.004
Abstract: Abstract Pesticide application issues are a major concern in farmers' production practices, but little is known about the knowledge levels and the behaviour of farmers when handling pesticides. Farmers' knowledge of pesticide use practices and…
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Keywords:
use;
pesticide;
ordered probit;
probit model ... See more keywords
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Published in 2022 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802221122403
Abstract: Dichotomous response data observed over multiple time points, especially data that exhibit longitudinal structures, are important in many applied fields. The multivariate probit model has been an attractive tool in such situations for its ability…
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Keywords:
probit model;
parameter expanded;
correlation;
multivariate probit ... See more keywords
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Published in 2021 at "PLoS ONE"
DOI: 10.1371/journal.pone.0261737
Abstract: Potential relationship among loan applicants can provide valuable information for evaluating default risk. However, most of the existing credit scoring models either ignore this relationship or consider a simple connection information. This study assesses the…
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Keywords:
spatial probit;
probit model;
information;
default risk ... See more keywords