RATS programs to replicate Jacquier, Polson, Rossi (1994) stochastic volatility
AbstractReplication file for Jacquier, Polson and Rossi(1994), "Bayesian Analysis of Stochastic Volatility Models," Journal of Business and Economic Statistics, vol 12, no 4, pp. 371-89. Includes both a Metropolis MCMC and a rejection method similar to that in Kim, Shephard and Chib(1998), "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models", Review of Economic Studies, vol 65, pp 361-93.
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Bibliographic InfoSoftware component provided by Boston College Department of Economics in its series Statistical Software Components with number RTZ00105.
Programming language: RATS
Requires: RATS 7.30
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Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Web page: http://fmwww.bc.edu/EC/
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Other versions of this item:
- Kim, Sangjoon & Shephard, Neil & Chib, Siddhartha, 1998. "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models," Review of Economic Studies, Wiley Blackwell, Wiley Blackwell, vol. 65(3), pages 361-93, July.
- Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 1994. "Bayesian Analysis of Stochastic Volatility Models," Journal of Business & Economic Statistics, American Statistical Association, American Statistical Association, vol. 12(4), pages 371-89, October.
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
- C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
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