Methods to estimate dynamic stochastic general equilibrium models

Journal of Economic Dynamics and Control

Volumn 31, Issue 8, 2007, Pages 2599-2636

  Ruge Murcia, Francisco J ^a  

^a Université Laval   (Canada)

Author keywords

DSGE models; Estimation methods; Priors; Stochastic singularity

Indexed keywords

EID: 34250875688     PISSN: 01651889     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jedc.2006.09.005     Document Type: Article

References (45)

1. An, S., Schorfheide, F., 2005. Bayesian analysis of DSGE models. Econometric Reviews, forthcoming.
2. Bergin P.R. Putting the 'new open economy macroeconomics' to a test. Journal of International Economics 60 (2003) 3-34
3. Blanchard O.J., and Kahn C.M. The solution of linear difference models under rational expectations. Econometrica 48 (1980) 1305-1311
4. Boivin, J., Giannoni, M.P., 2005. DSGE models in a data-rich environment. Columbia University, Manuscript.
5. Bouakez H., Cardia E., and Ruge-Murcia F.J. Habit formation and the persistence of monetary shocks. Journal of Monetary Economics 52 (2005) 1073-1088
6. Braun R.A. Tax disturbances and real economic activity in the postwar United States. Journal of Monetary Economics 33 (1994) 441-462
7. Burnside C., Eichenbaum M., and Rebelo S. Labor hoarding and the business cycle. Journal of Political Economy 101 (1993) 245-273
8. Canova S., and Sala L. Back to square one: identification issues in DSGE models (2005), Universitat Pompeu Fabra, Manuscript
9. Chang Y., Gomes J.F., and Schorfheide F. Learning-by-doing as a propagation mechanism. American Economic Review 92 (2002) 1498-1520
10. Christiano L.J., and Eichenbaum M. Current real-business cycle theories and aggregate labor-market fluctuations. American Economic Review 82 (1992) 430-450
11. Christiano L.J., Eichenbaum M., and Evans C.L. Nominal rigidities and the dynamic effects of a shock to monetary policy. Journal of Political Economy 113 (2005) 1-45
12. DeJong D.N., Ingram B.F., and Whiteman C.H. A Bayesian approach to dynamic macroeconomics. Journal of Econometrics 98 (2000) 203-223
13. Duffie D., and Singleton K.J. Simulated moments estimation of Markov models of asset prices. Econometrica 61 (1993) 929-952
14. Fernández-Villaverde, J., Rubio-Ramirez, J., 2006. Estimating macroeconomic models: a likelihood approach. NBER Technical Working Paper No. 321.
15. Fuhrer J.C., Moore G.R., and Schuh S.D. Estimating the linear-quadratic inventory model: maximum likelihood versus generalized method of moments. Journal of Monetary Economics 35 (1995) 115-157
16. Gouriéroux C., Monfort A., and Renault E. Indirect inference. Journal of Applied Econometrics 8 (1993) S85-S118
17. Hall G.J. Overtime effort and the propagation of business cycle shocks. Journal of Monetary Economics 38 (1996) 139-160
18. Hamilton J.D. Time Series Analysis (1994), Princeton University Press, Princeton
19. Hansen G.D. Indivisible labor and the business cycle. Journal of Monetary Economics 16 (1985) 309-327
20. Hansen L.P. Large sample properties of generalized method of moments estimators. Econometrica 50 (1982) 1929-1954
21. Hansen, L.P., Sargent, T.J., 1998. Recursive linear models of dynamic economies. University of Chicago, Manuscript.
22. Ingram B.F., Kocherlakota N., and Savin N.E. Explaining business cycles: a multiple-shock approach. Journal of Monetary Economics 34 (1994) 415-428
23. Ireland P. Sticky price models of the business cycle: specification and stability. Journal of Monetary Economics 47 (2001) 3-18
24. Ireland P. A method for taking models to the data. Journal of Economic Dynamics and Control 28 (2004) 1205-1226
25. Judge G.G., Griffiths W.E., Carter Hill R., Lütkepohl H., and Lee T.-C. The Theory and Practice of Econometrics (1985), Wiley, New York
26. Kim J. Constructing and estimating a realistic optimizing model of monetary policy. Journal of Monetary Economics 45 (2000) 329-359
27. Kim, J., Ruge-Murcia, F.J., 2006. How much inflation is necessary to grease the wheels? University of Montréal, Manuscript, in preparation.
28. Lee B.-S., and Ingram B.F. Simulation estimation of time-series models. Journal of Econometrics 47 (1991) 195-205
29. Leeper, E.M., Sims, C.A., 1994. Toward a modern macroeconomic model usable for policy analysis. NBER Macroeconomics Annual, pp. 81-118.
30. Malinvaud E. Statistical Methods of Econometrics (1970), North-Holland, Amsterdam
31. McFadden D. A method of simulated moments for estimation of discrete response models without numerical integration. Econometrica 57 (1989) 995-1026
32. McGrattan E.R. The macroeconomic effects of distortionary taxation. Journal of Monetary Economics 33 (1994) 573-601
33. Newey W.K. Generalized method of moments specification testing. Journal of Econometrics 29 (1985) 229-256
34. Pakes A., and Pollard D. The asymptotic distribution of simulation experiments. Econometrica 57 (1989) 1027-1057
35. Poirier D. Revising beliefs in nonidentified models. Econometric Theory 14 (1998) 483-509
36. Rotemberg, J., Woodford, M., 1997. An optimization-based econometric framework for the evaluation of monetary policy. NBER Macroeconomics Annual, pp. 297-346.
37. Ruge-Murcia, F.J., 2002. Methods to estimate dynamic stochastic general equilibrium models. University of California at San Diego, Economics Discussion Paper 2002-18.
38. Sargent T. Two models of measurement and the investment accelerator. Journal of Political Economy 97 (1989) 251-287
39. Schorfheide F. Loss function-based evaluation of DSGE models. Journal of Applied Econometrics 15 (2000) 645-670
40. Smets F., and Wouters R. An estimated stochastic dynamic general equilibrium model for the euro area. Journal of the European Economic Association 1 (2003) 1123-1175
41. Smith A.A. Estimating nonlinear time-series models using simulated vector autoregressions. Journal of Applied Econometrics 8 (1993) 63-84
42. Stock J.H., Wright J.H., and Yogo M. A survey of weak instruments and weak identification in generalized method of moments. Journal of Business and Economic Statistics 20 (2002) 518-529
43. Stone J.R.N. The Measurement of Consumers' Expenditure and Behaviour in the United Kingdom (1954), Cambridge University Press, Cambridge
44. Theil H., and Goldberger A.S. On pure and mixed statistical estimation in economics. International Economic Review 2 (1961) 65-78
45. White H. Maximum likelihood estimation of misspecified model. Econometrica 50 (1982) 1-25