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- W2133500732 abstract "Many discrete decisions are made with an eye toward how they will affect future outcomes. Formulating and estimating the underlying models that generate these decisions is difficult. Conditional choice probability (CCP) estimators often provide simpler ways to estimate dynamic discrete choice problems. Recent work shows how to frame dynamic discrete choice problems in a way that is conducive to CCP estimation and demonstrates that CCP estimators can be adapted to handle rich patterns of unobserved state variables." @default.
- W2133500732 created "2016-06-24" @default.
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- W2133500732 date "2011-09-01" @default.
- W2133500732 modified "2023-09-30" @default.
- W2133500732 title "Practical Methods for Estimation of Dynamic Discrete Choice Models" @default.
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- W2133500732 doi "https://doi.org/10.1146/annurev-economics-111809-125038" @default.
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