Maximum likelihood in the frequency domain: the importance of time-to-plan
Tài liệu tham khảo
Altug, 1989, Time to build and aggregate fluctuations some new evidence, International Economic Review, 30, 889, 10.2307/2526758
Baxter, 1999, Measuring business cycles, Review of Economics and Statistics, 81, 575, 10.1162/003465399558454
Bencivenga, 1992, An econometric study of hours and output variation with preference shocks, International Economic Review, 33, 449, 10.2307/2526904
Berkowitz, 2001, Generalized spectral estimation of the consumption-based asset pricing model, Journal of Econometrics, 104, 269, 10.1016/S0304-4076(01)00081-1
Bernanke, B., Gertler, M., Gilchrist, S., 1999. The financial accelerator in a quantitative business cycle framework. In: Taylor, J., Woodford, M. (Eds.), Handbook of Macroeconomics, Vol. 1c. North-Holland, Amsterdam, pp. 1341–1393.
Christiano, 1985, A method for estimating the timing interval in a linear econometric model, with an application to Taylor's model of staggered contracts, Journal of Economic Dynamics and Control, 9, 363, 10.1016/0165-1889(85)90012-0
Christiano, 1988, Why does inventory investment fluctuate so much?, Journal of Monetary Economics, 21, 247, 10.1016/0304-3932(88)90032-3
Christiano, 2002, Solving dynamic equilibrium models by a method of undetermined coefficients, Journal of Computational Economics, 20, 21, 10.1023/A:1020534927853
Christiano, 1987, Temporal aggregation and structural inference in macroeconomics, Carnegie Rochester Conference Series on Public Policy, 26, 63, 10.1016/0167-2231(87)90022-4
Christiano, 1992, Current real-business-cycle theories and aggregate labor-market fluctuations, American Economic Review, 82, 430
Christiano, L.J., Fitzgerald, T., 2003. The band pass filter. International Economic Review, forthcoming.
Christiano, L.J., Todd, R.M., 1996. Time to plan and aggregate fluctuations. Federal Reserve Bank of Minneapolis Quarterly Review, Winter, 20 (1), 14–27.
Christiano, 2002, The conventional treatment of seasonality in business cycle analysis: does it create distortions?, Journal of Monetary Economics, 49, 335, 10.1016/S0304-3932(01)00112-X
Christiano, L.J., Vigfusson, R.J., 2001. Maximum likelihood in the frequency domain: the importance of time-to-plan. Federal Reserve Bank of Cleveland, Working Paper 0106.
Christiano, 1991, The permanent income hypothesis revisited, Econometrica, 59, 397, 10.2307/2938262
Cogley, 2001, Estimating and testing dynamic rational expectations models, Journal of Economic Dynamics and Control, 25, 1485, 10.1016/S0165-1889(99)00083-4
Cogley, 2001, A frequency decomposition of approximation errors in stochastic discount factor models, International Economic Review, 42, 473, 10.1111/1468-2354.00118
Cogley, 1995, Output dynamics in real business cycle models, American Economic Review, 85, 492
Diebold, 1998, Dynamic equilibrium economies, Review of Economic Studies, 65, 433, 10.1111/1467-937X.00052
Engle, 1974, Band spectrum regression, International Economic Review, 15, 1, 10.2307/2526084
Granger, 1977
Hall, 1996, Overtime, effort, and the propagation of business cycle shocks, Journal of Monetary Economics, 38, 139, 10.1016/0304-3932(96)01270-6
Hansen, 1980, Formulating and estimating dynamic linear rational expectations models, Journal of Economic Dynamics and Control, 2, 7, 10.1016/0165-1889(80)90049-4
Hansen, L.P., Sargent, T.J., 1980b. Methods for estimating continuous time rational expectations models from discrete data. Research Department Staff report 59, Federal Reserve Bank of Minneapolis.
Hansen, L.P., Sargent, T.J., 1991. Exact linear rational expectations models: specification and estimation, in underground classics in economics. Westview Press, Boulder, Oxford, pp. 45–76.
Hansen, 1993, Seasonality and approximation errors in rational expectations models, Journal of Econometrics, 55, 21, 10.1016/0304-4076(93)90003-N
Harvey, 1989
Hodrick, 1997, Post-war business cycles, Journal of Money, Credit and Banking, 29, 1, 10.2307/2953682
Ireland, 1997, A small, structural quarterly model for monetary policy evaluation, Carnegie Rochester Conference Series on Public Policy, 47, 83, 10.1016/S0167-2231(98)00005-0
Ireland, P.N., 1999. A method for taking models to the data. Federal Reserve Bank of Cleveland Working Paper 9903.
Ireland, 2001, Technology shocks and the business cycle, Journal of Economic Dynamics and Control, 5, 703, 10.1016/S0165-1889(99)00042-1
Kim, 2000, Constructing and estimating a realistic optimizing model of monetary policy, Journal of Monetary Economics, 2, 329, 10.1016/S0304-3932(99)00054-9
King, 1995, Quantitative theory and econometrics, Federal Reserve Bank of Richmond Economic Quarterly, 81, 53
King, 1993, Low frequency filtering and real business cycles, Journal of Economic Dynamics and Control, 17, 251, 10.1016/S0165-1889(06)80010-2
Kydland, 1982, Time to build and aggregate fluctuations, Econometrica, 50, 1345, 10.2307/1913386
Leeper, 1994, Toward a modern macroeconomic model usable for policy analysis, 81
Long, 1983, Real business cycles, Journal of Political Economy, 91, 39, 10.1086/261128
McGrattan, 1994, The macroeconomic effects of distortionary taxation, Journal of Monetary Economics, 33, 573, 10.1016/0304-3932(94)90044-2
McGrattan, 1997, An equilibrium model of the business cycle with household production and fiscal policy, International Economic Review, 38, 267, 10.2307/2527375
Nerlove, 1979
Rouwenhorst, 1991, Time to build and aggregate fluctuations a reconsideration, Journal of Monetary Economics, 27, 241, 10.1016/0304-3932(91)90043-N
Sargent, 1987
Sargent, 1989, Two models of measurements and the investment accelerator, Journal of Political Economy, 97, 251, 10.1086/261603
Sims, 1972, Approximate prior restrictions in distributed lag estimation, Journal of the American Statistical Association, 67, 169, 10.2307/2284717
Watson, 1993, Measures of fit for calibrated models, Journal of Political Economy, 101, 1011, 10.1086/261913