Macroeconomic Forecasting Performance under Alternative Specifications of Time-Varying Volatility
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Adolfson, 2007, Forecasting performance of an open economy DSGE model, Econometric Reviews, 26, 289, 10.1080/07474930701220543
Amisano, 2007, Comparing density forecasts via weighted likelihood ratio tests, Journal of Business and Economic Statistics, 25, 177, 10.1198/073500106000000332
Andreasen, 2012, On the effects of rare disasters and uncertainty shocks for risk premia in non-linear DSGE models, Review of Economic Dynamics, 15, 295, 10.1016/j.red.2011.08.001
Andrews, 1992, An improved heteroskedasticity and autocorrelation consistent covariance matrix estimator, Econometrica, 60, 953, 10.2307/2951574
Benati, 2008, The ‘Great Moderation’ in the United Kingdom, Journal of Money, Credit, and Banking, 40, 121, 10.1111/j.1538-4616.2008.00106.x
Bianchi, 2013, Regime switches, agents' beliefs, and post-World War II U.S. macroeconomic dynamics, Review of Economic Studies, 80, 463, 10.1093/restud/rds032
Bognanni M 2013 An empirical analysis of time-varying fiscal multipliers
Bollerslev, 1986, Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, 31, 307, 10.1016/0304-4076(86)90063-1
Canarella, 2010, Is the Great Moderation ending? UK and US evidence, Modern Economy, 1, 17, 10.4236/me.2010.11002
Carter, 1994, On Gibbs sampling for state space models, Biometrika, 81, 541, 10.1093/biomet/81.3.541
Chung, 2012, Have we underestimated the likelihood and severity of zero lower bound events?, Journal of Money, Credit, and Banking, 44, 47, 10.1111/j.1538-4616.2011.00478.x
Clark, 2009, Is the Great Moderation over? An empirical analysis, Federal Reserve Bank of Kansas City Economic Review, 94, 5
Clark, 2011, Real-time density forecasts from BVARs with stochastic volatility, Journal of Business and Economic Statistics, 29, 327, 10.1198/jbes.2010.09248
Clark T McCracken M 2011a Nested forecast model comparisons: a new approach to testing equal accuracy
Clark, 2011b, Oxford Handbook of Economic Forecasting, 415
Clark T Ravazzolo F 2012 The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility
Cogley, 2005, Drifts and volatilities: monetary policies and outcomes in the post-World War II U.S, Review of Economic Dynamics, 8, 262, 10.1016/j.red.2004.10.009
Cogley, 2005, Bayesian fan charts for U.K. inflation: forecasting and sources of uncertainty in an evolving monetary system, Journal of Economic Dynamics and Control, 29, 1893, 10.1016/j.jedc.2005.06.005
Croushore, 2001, A real-time data set for macroeconomists, Journal of Econometrics, 105, 111, 10.1016/S0304-4076(01)00072-0
D'Agostino, 2013, Macroeconomic forecasting and structural change, Journal of Applied Econometrics, 28, 82, 10.1002/jae.1257
Del Negro M Primiceri G 2013 Time varying structural vector autoregressions and monetary policy: a corrigendum
Diebold, 1995, Comparing predictive accuracy, Journal of Business and Economic Statistics, 13, 253, 10.1080/07350015.1995.10524599
Engle, 1982, Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation, Econometrica, 50, 987, 10.2307/1912773
Faust, 2009, Comparing Greenbook and reduced form forecasts using a large realtime dataset, Journal of Business and Economic Statistics, 27, 468, 10.1198/jbes.2009.07214
Fernandez-Villaverde, 2007, Estimating macroeconomic models: a likelihood approach, Review of Economic Studies, 74, 1059, 10.1111/j.1467-937X.2007.00437.x
Fernandez-Villaverde J Rubio-Ramierez J 2010 Macroeconomics and volatility: data, models, and estimation
Fernandez-Villaverde J Guerron-Quintana P Rubio-Ramierez J 2010 Fortune or virtue: time-variant volatilities versus parameter drifting in U.S. data
Gerlach, 2000, Efficient Bayesian inference for dynamic mixture models, Journal of the American Statistical Association, 95, 819, 10.1080/01621459.2000.10474273
Geweke, 2010, Comparing and evaluating Bayesian predictive distributions of asset returns, International Journal of Forecasting, 26, 216, 10.1016/j.ijforecast.2009.10.007
Giacomini, 2006, Tests of conditional predictive ability, Econometrica, 74, 1545, 10.1111/j.1468-0262.2006.00718.x
Giordani, 2010, Forecasting macroeconomic time series with locally adaptive signal extraction, International Journal of Forecasting, 26, 312, 10.1016/j.ijforecast.2009.12.011
Giordani, 2007, A unified approach to nonlinearity, outliers and structural breaks, Journal of Econometrics, 137, 112, 10.1016/j.jeconom.2006.03.013
Gneiting, 2007, Strictly proper scoring rules, prediction, and estimation, Journal of the American Statistical Association, 102, 359, 10.1198/016214506000001437
Gneiting, 2011, Comparing density forecasts using threshold and quantile weighted proper scoring rules, Journal of Business and Economic Statistics, 29, 411, 10.1198/jbes.2010.08110
Groen, 2013, Real-time inflation forecasting in a changing world, Journal of Business and Economic Statistics, 31, 29, 10.1080/07350015.2012.727718
Hansen, 2005, A forecast comparison of volatility models: does anything beat a GARCH(1,1)?, Journal of Applied Econometrics, 20, 873, 10.1002/jae.800
Jacquier, 2004, Bayesian analysis of stochastic volatility models with fat-tails and correlated errors, Journal of Econometrics, 122, 185, 10.1016/j.jeconom.2003.09.001
Jore, 2010, Combining forecast densities from VARs with uncertain instabilities, Journal of Applied Econometrics, 25, 621, 10.1002/jae.1162
Justiniano, 2008, The time-varying volatility of macroeconomic fluctuations, American Economic Review, 98, 604, 10.1257/aer.98.3.604
Kadiyala, 1997, Numerical methods for estimation and inference in Bayesian VAR-models, Journal of Applied Econometrics, 12, 99, 10.1002/(SICI)1099-1255(199703)12:2<99::AID-JAE429>3.0.CO;2-A
Karapanagiotidis P 2012 Improving Bayesian VAR density forecasts through autoregressive Wishart stochastic volatility
Kim, 1998, Stochastic volatility: Likelihood inference and comparison with ARCH models, Review of Economic Studies, 65, 361, 10.1111/1467-937X.00050
Koop, 2003, Bayesian Econometrics
Koop, 2013, Large time-varying parameter VARs, Journal of Econometrics, 177, 185, 10.1016/j.jeconom.2013.04.007
Koop, 2007, Estimation and forecasting in models with multiple breaks, Review of Economic Studies, 74, 763, 10.1111/j.1467-937X.2007.00436.x
Nakajima, 2012, Bayesian analysis of generalized autoregressive conditional heteroskedasticity and stochastic volatility: modeling leverage, jumps and heavy-tails for financial time series, Japanese Economic Review, 63, 81, 10.1111/j.1468-5876.2011.00537.x
Primiceri, 2005, Time varying structural vector autoregressions and monetary policy, Review of Economic Studies, 72, 821, 10.1111/j.1467-937X.2005.00353.x
Ravazzolo, 2013, Forecast densities for economic aggregates from disaggregate ensembles, Studies in Nonlinear Dynamics and Econometrics
Romer, 2000, Federal Reserve information and the behavior of interest rates, American Economic Review, 90, 429, 10.1257/aer.90.3.429
Sims, 2002, The role of models and probabilities in the monetary policy process, Brookings Papers on Economic Activity, 2, 1, 10.1353/eca.2003.0009
Sims, 2006, Were there regime switches in US monetary policy?, American Economic Review, 96, 54, 10.1257/000282806776157678
So, 2005, A Bayesian threshold nonlinearity test for financial time series, Journal of Forecasting, 24, 61, 10.1002/for.939
Stock, 2007, Has U.S. inflation become harder to forecast?, Journal of Money, Credit, and Banking, 39, 3, 10.1111/j.1538-4616.2007.00014.x