Estimation and Inference of Impulse Responses by Local Projections

American Economic Review - Tập 95 Số 1 - Trang 161-182 - 2005
Òscar Jordà1
1Department of Economics, University of California, Davis, One Shields Ave., Davis, CA 95616-8578.

Tóm tắt

This paper introduces methods to compute impulse responses without specification and estimation of the underlying multivariate dynamic system. The central idea consists in estimating local projections at each period of interest rather than extrapolating into increasingly distant horizons from a given model, as it is done with vector autoregressions (VAR). The advantages of local projections are numerous: (1) they can be estimated by simple regression techniques with standard regression packages; (2) they are more robust to misspecification; (3) joint or point-wise analytic inference is simple; and (4) they easily accommodate experimentation with highly nonlinear and flexible specifications that may be impractical in a multivariate context. Therefore, these methods are a natural alternative to estimating impulse responses from VARs. Monte Carlo evidence and an application to a simple, closed-economy, new-Keynesian model clarify these numerous advantages.

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Tài liệu tham khảo

10.1016/S0165-1889(02)00021-0

Barro Robert J, 1977, American Economic Review, 67, 101

10.1086/260699

10.1007/BF00050857

Bhansali Rajendra J, 1997, Statistica Sinica, 7, 425

Bhansali Rajendra J, 2002, Blackwell Publishing, 206

10.1086/426038

Cochrane John H, American Economic Review, 2002

10.1016/S0304-4076(97)00065-1

Cox David R, Journal of the Royal Statistical Society, 1961

10.1046/j.0305-9049.2003.00087.x

10.1016/S0167-2231(99)00004-4

10.2307/2118513

Fuhrer Jeffrey C, 1995, American Economic Review, 85, 219

10.2307/2118487

10.1111/1468-0262.00124

10.1111/j.1467-9892.1993.tb00144.x

10.1017/S0266466603192031

10.1016/S1094-2025(03)00022-X

Kim Kim, 2003, Board of Governors of the Federal Reserve System (U.S.), Finance and Economics Discussion Series, 2003

10.1016/0304-4076(95)01753-4

10.1002/(SICI)1099-1255(199609)11:5<519::AID-JAE410>3.0.CO;2-Q

10.1016/0167-2231(88)90013-9

10.1016/S0165-1889(99)00013-5

10.2307/2527344

10.2307/1912017

10.1016/0014-2921(92)90041-T

10.2307/2527345

10.1111/1468-0262.00071

10.1080/01621459.1997.10473634

10.1016/0167-2231(93)90009-L

Tsay Ruey S, 1993, Journal of Business and Economic Statistics, 11, 140

10.1080/01621459.1998.10473779

10.2307/1912313

10.1016/0304-4076(91)90035-C

10.1016/0304-4076(74)90028-1