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DOI: 10.1080/07474930008800463
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- Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 2002.
"Bayesian Analysis of Stochastic Volatility Models,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 69-87, January.
- Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 1994. "Bayesian Analysis of Stochastic Volatility Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 371-389, October.
- Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1998.
"Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 361-393.
- Sangjoon Kim, Neil Shephard & Siddhartha Chib, "undated". "Stochastic volatility: likelihood inference and comparison with ARCH models," Economics Papers W26, revised version of W, Economics Group, Nuffield College, University of Oxford.
- Sangjoon Kim & Neil Shephard, 1994. "Stochastic volatility: likelihood inference and comparison with ARCH models," Economics Papers 3., Economics Group, Nuffield College, University of Oxford.
- Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1996. "Stochastic Volatility: Likelihood Inference And Comparison With Arch Models," Econometrics 9610002, University Library of Munich, Germany.
- Elerain, Ola & Chib, Siddhartha & Shephard, Neil, 2001.
"Likelihood Inference for Discretely Observed Nonlinear Diffusions,"
Econometrica, Econometric Society, vol. 69(4), pages 959-993, July.
- Elerian, O. & Chib, S. & Shephard, N., 1998. "Likelihood INference for Discretely Observed Non-linear Diffusions," Economics Papers 146, Economics Group, Nuffield College, University of Oxford.
- Ola Elerian & Siddhartha Chib & Neil Shephard, 2000. "Likelihood inference for discretely observed non-linear diffusions," OFRC Working Papers Series 2000mf02, Oxford Financial Research Centre.
- Jacquier, Eric & Polson, Nicholas G & Rossi, Peter E, 1994. "Bayesian Analysis of Stochastic Volatility Models: Comments: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 413-417, October.
- McCulloch, Robert & Rossi, Peter E., 1994. "An exact likelihood analysis of the multinomial probit model," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 207-240.
- Filardo, Andrew J. & Gordon, Stephen F., 1998.
"Business cycle durations,"
Journal of Econometrics, Elsevier, vol. 85(1), pages 99-123, July.
- Andrew J. Filardo & Stephen F. Gordon, 1993. "Business cycle durations," Research Working Paper 93-11, Federal Reserve Bank of Kansas City.
- Gordon, S.F. & Filardo, A.J., 1993. "Business Cycle Durations," Papers 9328, Laval - Recherche en Politique Economique.
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- Edward Nelson, 2004.
"Money and the Transmission Mechanism in the Optimizing IS-LM Specification,"
History of Political Economy, Duke University Press, vol. 36(5), pages 271-304, Supplemen.
- Edward Nelson, 2003. "Money and the transmission mechanism in the optimizing IS-LM specification," Working Papers 2003-019, Federal Reserve Bank of St. Louis.
- Nelson, Edward, 2003. "Money and the Transmission Mechanism in the Optimizing IS-LM Specification," CEPR Discussion Papers 3898, C.E.P.R. Discussion Papers.
- David Brasington, 2005.
"School Choice and the Flight to Private Schools: To What Extent Are Public and Private Schools Substitutes?,"
Departmental Working Papers
2005-02, Department of Economics, Louisiana State University.
- David M. Brasington, 2006. "School Choice and the Flight to Private Schools: To What Extent Are Public and Private Schools Substitutes?," Departmental Working Papers 2006-04, Department of Economics, Louisiana State University.
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