Inference in models with adaptive learning

Journal of Monetary Economics

Volumn 57, Issue 3, 2010, Pages 341-351

  Chevillon, Guillaume ^a   Massmann, Michael ^b   Mavroeidis, Sophocles ^c  

^a ESSEC BUSINESS SCHOOL   (France)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

^c BROWN UNIVERSITY   (United States)

Author keywords

Anderson Rubin statistic; DSGE models; Persistence; Weak identification

Indexed keywords

EID: 77951204072     PISSN: 03043932     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmoneco.2010.02.003     Document Type: Article

References (42)

1. Anderson T.W., Rubin H. Estimation of the parameters of a single equation in a complete system of stochastic equations. Annals of Mathematical Statistics 1949, 20:46-63.
2. Andrews, D.W., Stock, J.H., 2005. Inference with weak instruments. NBER Technical Working Papers 0313, National Bureau of Economic Research, Inc.
3. Bound J., Jaeger D.A., Baker R.M. Problems with instrumental variables estimation when the correlation between the instruments and the endogenous explanatory variable is weak. Journal of the American Statistical Association 1995, 90(430):443-450.
4. Bray M.M., Savin N.E. Rational expectations equilibria, learning, and model specification. Econometrica 1986, 54(5):1129-1160.
5. Canova F., Sala L. Back to square one: identification issues in DSGE models. Journal of Monetary Economics 2009, 56(4):431-449.
6. Carceles-Poveda E., Giannitsarou C. Adaptive learning in practice. Journal of Economic Dynamics and Control 2007, 31:2659-2697.
7. Chan N.H., Wei C.Z. Asymptotic inference for nearly nonstationary AR(1) processes. Annals of Statistics 1987, 15(3):1050-1063.
8. Cochrane, J.H., 2007. Identification with Taylor Rules: A Critical Review. NBER Working Papers 13410, National Bureau of Economic Research, Inc.
9. Doornik J.A. Object-Oriented Matrix Programming Using Ox 2007, Timberlake Consultants Press, London. third ed.
10. Dufour J.-M. Some impossibility theorems in econometrics with applications to structural and dynamic models. Econometrica 1997, 65(6):1365-1387.
11. Dufour J.-M. Identification, weak instruments and statistical inference in econometrics. Canadian Journal of Economics 2003, 36(4):767-808. (Presidential Address to the Canadian Economics Association).
12. Eusepi, S., Preston, B., 2008. Expectations, learning and business cycle fluctuations. NBER Working Papers 14181, National Bureau of Economic Research, Inc.
13. Evans G.W., Honkapohja S. Learning and Expectations in Macroeconomics 2001, Princeton University Press, Princeton.
14. Evans, G.W., Honkapohja, S., 2008. Expectations learning and monetary policy: an overview of recent research. Discussion Paper 6640, CEPR.
15. Fourgeaud C., Gourieroux C., Pradel J. Learning procedures and convergence to rationality. Econometrica 1986, 54(4):845-868.
16. Gorodnichenko, Y., Ng, S., 2007. Estimation of DSGE models when the data are persistent. Technical Report. Presented at NBER Summer Institute.
17. Hamilton J.D. Time Series Analysis 1994, Princeton University Press, Princeton, NJ.
18. Hodges J.L., Lehmann E.L. Estimates of location based on rank tests. Annals of Mathematical Statistics 1963, 34(2):598-611.
19. Huang K., Liu Z., Zha T. Learning adaptive expectations and technology shocks. Economic Journal 2009, 119(536):377-405.
20. Judge G., Hill R., Griffiths W., Lutkepohl H., Lee T.-C. The Theory and Practice of Econometrics 1985, Wiley, New York, USA.
21. Kleibergen F., Mavroeidis S. Weak instrument robust tests in GMM and the new Keynesian phillips curve. Journal of Business and Economic Statistics 2009, 27(3):293-311.
22. Lucas R.E. Some international evidence on output-inflation tradeoffs. American Economic Review 1973, 63(3):326-334.
23. Mavroeidis S. Identification issues in forward-looking models estimated by GMM with an application to the Phillips Curve. Journal of Money Credit and Banking 2005, 37(3):421-449.
24. Milani F. A bayesian dsge model with infinite-horizon learning: do mechanical sources of persistence become superfluous?. International Journal of Central Banking 2006, 2(3).
25. Milani F. Expectations, learning and macroeconomic persistence. Journal of Monetary Economics 2007, 54(7):2065-2082.
26. Nicholls D.F., Pagan A.R. Heteroscedasticity in models with lagged dependent variables. Econometrica 1983, 51(4):1233-1242.
27. Orphanides A., Williams J.C. Imperfect knowledge, inflation expectations, and monetary policy. The Inflation Targeting Debate 2004, University of Chicago Press, Chicago. B. Bernanke, M. Woodford (Eds.).
28. Orphanides A., Williams J.C. The decline of activist stabilization policy: natural rate misperceptions learning and expectations. Journal of Economic Dynamics and Control 2005, 29(11):1927-1950.
29. Pesaran M.H. The Limits to Rational Expectations 1987, Blackwell Publishers, Oxford.
30. Phillips P.C.B. Towards a unified asymptotic theory for autoregression. Biometrika 1987, 74(3):535-547.
31. Preston, B., 2005a. Adaptive learning in infinite horizon decision problems. Columbia University, mimeo.
32. Preston B. Learning about monetary policy rules when long-horizon expectations matter. International Journal of Central Banking 2005, 1(2):81-126.
33. Preston B. Adaptive learning, forecast-based instrument rules and monetary policy. Journal of Monetary Economics 2006, 53(3):507-535.
34. Primiceri G.E. Why inflation rose and fell: policymakers' beliefs and US postwar stabilization policy. Quarterly Journal of Economics 2006, 121(3):867-901.
35. Sargent T.J. Bounded Rationality in Macroeconomics 1993, Clarendon Press, Oxford.
36. Sbordone A.M. Prices and unit labor costs: a new test of price stickiness. Journal of Monetary Economics 2002, 49:265-292.
37. Schorfheide F. Learning and monetary policy shifts. Review of Economic Dynamics 2005, 8(2):392-419.
38. Stock J.H., Wright J.H. GMM with weak identification. Econometrica 2000, 68(5):1055-1096.
39. Stock J.H., Wright J.H., Yogo M. GMM weak instruments, and weak identification. Journal of Business and Economic Statistics 2002, 20:518-530.
40. Stock, J.H., Yogo, M., 2003. Testing for weak instruments in linear IV regression. NBER Technical Working Paper, 284, NBER, USA.
41. White H. A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica 1980, 48(4):817-838.
42. White H. Asymptotic Theory for Econometricians 1984, Academic Press, New York.