Predicting trips to health care facilities: A binary logit and receiver operating characteristics (ROC) approach
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DOI: 10.1016/j.retrec.2024.101411
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- Christian Pierdzioch, 2016. "Using ROC techniques to measure the effectiveness of foreign exchange market interventions," Applied Economics Letters, Taylor & Francis Journals, vol. 23(6), pages 389-393, April.
- Stephan Dreiseitl & Lucila Ohno-Machado & Michael Binder, 2000. "Comparing Three-class Diagnostic Tests by Three-way ROC Analysis," Medical Decision Making, , vol. 20(3), pages 323-331, July.
- Takeshi Amemiya, 1975. "Qualitative Response Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 4, number 3, pages 363-372, National Bureau of Economic Research, Inc.
- R. John Irwin & Timothy C. Irwin, 2013.
"Appraising Credit Ratings: Does The Cap Fit Better Than The Roc?,"
International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 18(4), pages 396-408, October.
- Mr. R. John Irwin & Mr. Timothy C Irwin, 2012. "Appraising Credit Ratings: Does the CAP Fit Better than the ROC?," IMF Working Papers 2012/122, International Monetary Fund.
- Stein, Roger M., 2005. "The relationship between default prediction and lending profits: Integrating ROC analysis and loan pricing," Journal of Banking & Finance, Elsevier, vol. 29(5), pages 1213-1236, May.
- Zeineb Affes & Rania Hentati-Kaffel, 2019. "Predicting US Banks Bankruptcy: Logit Versus Canonical Discriminant Analysis," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03045837, HAL.
- Zhenqiu Liu & Ming Tan, 2008. "ROC-Based Utility Function Maximization for Feature Selection and Classification with Applications to High-Dimensional Protease Data," Biometrics, The International Biometric Society, vol. 64(4), pages 1155-1161, December.
- Aigner, Dennis J. & Hsiao, Cheng & Kapteyn, Arie & Wansbeek, Tom, 1984. "Latent variable models in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 23, pages 1321-1393, Elsevier.
- Zeineb Affes & Rania Hentati-Kaffel, 2019. "Predicting US Banks Bankruptcy: Logit Versus Canonical Discriminant Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 54(1), pages 199-244, June.
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More about this item
Keywords
Receiver operating characteristics; ROC; Prediction success; Binary logit; Out-patient trips; Aging; Longitudinal; China; CHARLS;All these keywords.
JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- I12 - Health, Education, and Welfare - - Health - - - Health Behavior
- I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
- J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
- R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
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