Inference for Shared-Frailty Survival Models with Left-Truncated Data
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- Gerard J. van den Berg & Bettina Drepper, 2016. "Inference for Shared-Frailty Survival Models with Left-Truncated Data," Econometric Reviews, Taylor & Francis Journals, vol. 35(6), pages 1075-1098, June.
- van den Berg, Gerard J. & Drepper , Bettina, 2011. "Inference for shared-frailty survival models with left-truncated data," Working Paper Series 2011:26, IFAU - Institute for Evaluation of Labour Market and Education Policy.
References listed on IDEAS
- Ridder, Geert & Tunali, Insan, 1999. "Stratified partial likelihood estimation," Journal of Econometrics, Elsevier, vol. 92(2), pages 193-232, October.
- Mario Cleves & William W. Gould & Roberto G. Gutierrez & Yulia Marchenko, 2010. "An Introduction to Survival Analysis Using Stata," Stata Press books, StataCorp LP, edition 3, number saus3, December.
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- Jain, Apoorva & Peter, Klara Sabirianova, 2017. "A Joint Hazard-Longitudinal Model of the Timing of Migration, Immigrant Quality, and Labor Market Assimilation," IZA Discussion Papers 10887, Institute for the Study of Labor (IZA).
- Frank Eriksson & Torben Martinussen & Thomas H. Scheike, 2015. "Clustered Survival Data with Left-truncation," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(4), pages 1149-1166, December.
- Hellwig, Michael & Hüschelrath, Kai, 2017. "When do firms leave cartels? Determinants and the impact on cartel survival," ZEW Discussion Papers 17-002, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
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Keywordsleft-truncation; likelihood function; dynamic selection; hazard rate; unobserved heterogeneity; duration analysis; stata; twin data;
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
- C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
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