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Causal Inference with Two-Stage Logistic Regression - Accuracy, Precision, and Application
Cai, Bing - 2010
2SPS and 2SRI for logistic binary outcomes have not been thoroughly studied. We study the bias and variance properties … trial. We first present closed form expressions of asymptotic bias for the causal odds ratio from both 2SPS and 2SRI … approaches. Our closed form bias results show that the 2SPS logistic regression generates asymptotically biased estimates of this …
Persistent link: https://www.econbiz.de/10009439053
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Better Safe than Sorry: Precautionary Reasoning and Implied Dominance in Risky Decisions
DeKay, Michael L.; Patiño-Echeverri, Dalia; Fischbeck, … - 2005
alternatives can seriously bias the evaluation of consequences in risky high-stakes decisions. …
Persistent link: https://www.econbiz.de/10009441242
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Better Safe than Sorry: Precautionary Reasoning and Implied Dominance in Risky Decisions
DeKay, Michael L.; Patino-Echeverri, Dalia; Fischbeck, … - 2008
alternatives can seriously bias the evaluation of consequences in risky high-stakes decisions. …
Persistent link: https://www.econbiz.de/10009441300
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The Impacts of Attribute Level Framing and Changing Cost Levels on Choice Experiments Value Estimates
Kragt, Marit Ellen; Bennett, Jeffrey W. - 2010
Choice Experiments (CE) are increasingly used to estimate the values of environmental goods andservices. CE questionnaires represent the environmental good under valuation by varying levels ofnon-market attributes. Inclusion of a cost attribute enables the estimation of monetary values...
Persistent link: https://www.econbiz.de/10009446025
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Adaptive Inference for Multi-Stage Survey Data
Al-Zou'bi, L. M.; Clark, Robert Graham; Steel, D. G. - 2009
Two-stage sampling usually leads to higher variances for estimators of means and regression coefficients, because of intra-cluster homogeneity. One way of allowing for clustering in fitting a linear regression model is to use a linear mixed model with two levels. If the estimated intra-cluster...
Persistent link: https://www.econbiz.de/10009457371
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Robustness in Latent Variable Models
Huang, Xianzheng - 2006
Statistical models involving latent variables are widely used in many areas of applications, such as biomedical science and social science. When likelihood-based parametric inferential methods are used to make statistical inference, certain distributional assumptions on the latent variables are...
Persistent link: https://www.econbiz.de/10009431306
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Machine learning in credit risk: measuring the dilemma between prediction and supervisory cost
Alonso, Andrés; Carbó, José Manuel - 2020
Informes recientes muestran la creciente adopción en el sector financiero de técnicas de aprendizaje automático o machine learning (ML) en la gestión del riesgo de crédito. En este entorno, los supervisores se encuentran ante el reto de permitir que se maximicen las oportunidades derivadas...
Persistent link: https://www.econbiz.de/10012525231
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Artificial intelligence in financial services
Fernández Bedoya, Ana
Artículo de revista ; The use of artificial intelligence tools has escalated recently in all sectors of the economy owing, among other factors, to the growing volume of digital data and higher computational capacity. Major benefits may be reaped from applying these tools to the provision of...
Persistent link: https://www.econbiz.de/10012532407
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Dinâmica econômica das flutuações na produção de cana-de-açúcar
Satolo, Luiz Fernando; Bacchi, Mirian Rumenos Piedade - 2008
Desde meados da década de 70, os mercados brasileiros de açúcar e álcool têm passado por importantes transformações que conduziram o país de volta à posição de líder mundial na produção de cana-de-açúcar. O objetivo deste trabalho é avaliar o papel de choques de oferta (área e...
Persistent link: https://www.econbiz.de/10009442788
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PROJEÇÃO DO PREÇO RECEBIDO PELO PRODUTOR DE MELÃO NO ESTADO DO RIO GRANDE DO NORTE: UMA ABORDAGEM ARIMA
Costa, Genivalda Cordeiro Da; Maia, Ana Cristina Nogueira; … - 2008
No Estado do Rio Grande do Norte, o agronegócio é uma atividade que está crescendo cada vez mais devido ao setor fruticultura irrigada, destacando-se a produção de melão, que é um dos principais produtos agrícolas da economia norte-riograndense. Neste sentido, o objetivo do presente...
Persistent link: https://www.econbiz.de/10009442796