Modeling Sample Selection for Durations with Time-Varying Covariates, with an Application to the Duration of Exchange Rate Regimes
AbstractWe extend existing estimators for duration data that suffer from non-random sample selection to allow for time-varying covariates. Rather than a continuous-time duration model, we propose a discrete-time alternative that models the effects of sample selection at the time of selection across all subsequent years of the resulting spell. Properties of the estimator are compared to those of a naive discrete duration model through Monte Carlo analysis and indicate that our estimator outperforms the naive model when selection is non-trivial. We then apply this estimator to the question of the duration of monetary regimes and find evidence that ignoring selection into pegs leads to faulty inferences.
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Bibliographic InfoPaper provided by University of California at Davis, Department of Economics in its series Working Papers with number 09-22.
Date of creation: Sep 2009
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Other versions of this item:
- Frederick J. Boehmke & Chris Meissner, 2009. "Modeling Sample Selection for Durations with Time-Varying Covariates, With an Application to the Duration of Exchange Rate Regimes," Working Papers 922, University of California, Davis, Department of Economics.
- F33 - International Economics - - International Finance - - - International Monetary Arrangements and Institutions
- F31 - International Economics - - International Finance - - - Foreign Exchange
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-02-27 (All new papers)
- NEP-ECM-2010-02-27 (Econometrics)
- NEP-IFN-2010-02-27 (International Finance)
- NEP-LAB-2010-02-27 (Labour Economics)
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- Tanja A. Börzel & Tobias Hofmann & Diana Panke, 2011. "Policy Matters But How? Explaining Non-Compliance Dynamics in the EU," KFG Working Papers p0024, Free University Berlin.
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