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Comparing Greenbook and Reduced Form Forecasts Using a Large Realtime Dataset
Citations
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As found by EconAcademics.org, the blog aggregator for Economics research:- Recent reading
by Francisco in EconWeekly on 2010-11-23 20:40:00
Citations
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Cited by:
- Wright, Jonathan H., 2019. "Some observations on forecasting and policy," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1186-1192.
- Rossi, Barbara, 2013.
"Advances in Forecasting under Instability,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 1203-1324,
Elsevier.
- Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
- Narayan Kundan Kishor, 2021. "Forecasting real‐time economic activity using house prices and credit conditions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 213-227, March.
- Wieland, Volker & Wolters, Maik, 2013.
"Forecasting and Policy Making,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 239-325,
Elsevier.
- Wieland, Volker & Wolters, Maik Hendrik, 2012. "Forecasting and policy making," IMFS Working Paper Series 62, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Andrea Carriero & Todd E. Clark & Marcellino Massimiliano, 2020. "Nowcasting Tail Risks to Economic Activity with Many Indicators," Working Papers 20-13R2, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
- Oh, Dong Hwan & Patton, Andrew J., 2024. "Better the devil you know: Improved forecasts from imperfect models," Journal of Econometrics, Elsevier, vol. 242(1).
- Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
- Ippei Fujiwara & Yasuo Hirose, 2014.
"Indeterminacy and Forecastability,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(1), pages 243-251, February.
- Ippei Fujiwara & Yasuo Hirose, 2011. "Indeterminacy and forecastability," Globalization Institute Working Papers 91, Federal Reserve Bank of Dallas.
- Ippei Fujiwara & Yasuo Hirose, 2012. "Indeterminacy and Forecastability," CAMA Working Papers 2012-48, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2024.
"Capturing Macro‐Economic Tail Risks with Bayesian Vector Autoregressions,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(5), pages 1099-1127, August.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," Working Papers 20-02R, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
- Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," CEPR Discussion Papers 17512, C.E.P.R. Discussion Papers.
- Exterkate, Peter & Groenen, Patrick J.F. & Heij, Christiaan & van Dijk, Dick, 2016.
"Nonlinear forecasting with many predictors using kernel ridge regression,"
International Journal of Forecasting, Elsevier, vol. 32(3), pages 736-753.
- Peter Exterkate & Patrick J.F. Groenen & Christiaan Heij & Dick van Dijk, 2011. "Nonlinear Forecasting with Many Predictors using Kernel Ridge Regression," Tinbergen Institute Discussion Papers 11-007/4, Tinbergen Institute.
- Peter Exterkate & Patrick J.F. Groenen & Christiaan Heij & Dick van Dijk, 2013. "Nonlinear Forecasting With Many Predictors Using Kernel Ridge Regression," CREATES Research Papers 2013-16, Department of Economics and Business Economics, Aarhus University.
- Elena Andreou & Eric Ghysels & Andros Kourtellos, 2013.
"Should Macroeconomic Forecasters Use Daily Financial Data and How?,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(2), pages 240-251, April.
- Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should Macroeconomic Forecasters Use Daily Financial Data and How?," Working Paper series 42_10, Rimini Centre for Economic Analysis.
- Eric Ghysels & Andros Kourtellos & Elena Andreou, 2012. "Should macroeconomic forecasters use daily financial data and how?," 2012 Meeting Papers 1196, Society for Economic Dynamics.
- Elena Andreou & Eric Ghysels & Andros Kourtellos, 2010. "Should macroeconomic forecasters use daily financial data and how?," University of Cyprus Working Papers in Economics 09-2010, University of Cyprus Department of Economics.
- repec:zbw:bofitp:2008_002 is not listed on IDEAS
- Serena Ng & Jonathan H. Wright, 2013.
"Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling,"
Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1120-1154, December.
- Serena Ng & Jonathan H. Wright, 2013. "Facts and Challenges from the Great Recession for Forecasting and Macroeconomic Modeling," NBER Working Papers 19469, National Bureau of Economic Research, Inc.
- Helge Berger & Pär Österholm, 2011.
"Does Money matter for U.S. Inflation? Evidence from Bayesian VARs,"
CESifo Economic Studies, CESifo Group, vol. 57(3), pages 531-550, September.
- Pär Österholm & Mr. Helge Berger, 2008. "Does Money Matter for U.S. Inflation? Evidence from Bayesian VARs," IMF Working Papers 2008/076, International Monetary Fund.
- Berger, Helge & Österholm, Pär, 2008. "Does money matter for U.S. inflation? Evidence from Bayesian VARs," Discussion Papers 2008/9, Free University Berlin, School of Business & Economics.
- Maik H. Wolters, 2015.
"Evaluating Point and Density Forecasts of DSGE Models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(1), pages 74-96, January.
- Wolters, Maik H., 2011. "Forecasting under Model Uncertainty," VfS Annual Conference 2011 (Frankfurt, Main): The Order of the World Economy - Lessons from the Crisis 48723, Verein für Socialpolitik / German Economic Association.
- Wolters, Maik Hendrik, 2012. "Evaluating point and density forecasts of DSGE models," MPRA Paper 36147, University Library of Munich, Germany.
- Wolters, Maik H., 2013. "Evaluating point and density forecasts of DSGE models," Economics Working Papers 2013-03, Christian-Albrechts-University of Kiel, Department of Economics.
- Wolters, Maik Hendrik, 2012. "Evaluating point and density forecasts of DSGE models," IMFS Working Paper Series 59, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
- Andres Fernandez & Norman R. Swanson, 2009.
"Real-time datasets really do make a difference: definitional change, data release, and forecasting,"
Working Papers
09-28, Federal Reserve Bank of Philadelphia.
- Norman R. Swanson & Andres Fernandez, 2011. "Real-Time Datasets Really Do Make a Difference: Definitional Change, Data Release, and Forecasting," Departmental Working Papers 201113, Rutgers University, Department of Economics.
- Michael Funke & Aaron Mehrotra & Hao Yu, 2015.
"Tracking Chinese CPI inflation in real time,"
Empirical Economics, Springer, vol. 48(4), pages 1619-1641, June.
- Funke, Michael & Mehrotra, Aaron & Yu, Hao, 2011. "Tracking Chinese CPI inflation in real time," BOFIT Discussion Papers 35/2011, Bank of Finland Institute for Emerging Economies (BOFIT).
- Michael Funke & Hao Yu & Aaron Mehrota, 2011. "Tracking Chinese CPI inflation in real time," Quantitative Macroeconomics Working Papers 21112, Hamburg University, Department of Economics.
- Edward S. Knotek & Saeed Zaman, 2017.
"Nowcasting U.S. Headline and Core Inflation,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 931-968, August.
- Edward S. Knotek & Saeed Zaman, 2014. "Nowcasting U.S. Headline and Core Inflation," Working Papers (Old Series) 1403, Federal Reserve Bank of Cleveland.
- Inske Pirschel & Maik H. Wolters, 2018. "Forecasting with large datasets: compressing information before, during or after the estimation?," Empirical Economics, Springer, vol. 55(2), pages 573-596, September.
- Hauber, Philipp, 2021. "How useful is external information from professional forecasters? Conditional forecasts in large factor models," EconStor Preprints 251469, ZBW - Leibniz Information Centre for Economics.
- Fabio B. Gaertner & Asad Kausar & Logan B. Steele, 2020. "Negative accounting earnings and gross domestic product," Review of Accounting Studies, Springer, vol. 25(4), pages 1382-1409, December.
- Patrick C. Higgins, 2014. "GDPNow: A Model for GDP \"Nowcasting\"," FRB Atlanta Working Paper 2014-7, Federal Reserve Bank of Atlanta.
- P. A. Nazarov & Kazakova, Maria, 2014. "Theoretical Basis of Prediction of Main Budget Parameters of Country," Published Papers r90221, Russian Presidential Academy of National Economy and Public Administration.
- Sekkel, Rodrigo M., 2015.
"Balance sheets of financial intermediaries: Do they forecast economic activity?,"
International Journal of Forecasting, Elsevier, vol. 31(2), pages 263-275.
- Rodrigo Sekkel, 2014. "Balance Sheets of Financial Intermediaries: Do They Forecast Economic Activity?," Staff Working Papers 14-40, Bank of Canada.
- Francesco Ravazzolo & Philip Rothman, 2013.
"Oil and U.S. GDP: A Real-Time Out-of-Sample Examination,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2-3), pages 449-463, March.
- Francesco Ravazzolo & Philip Rothman, 2013. "Oil and U.S. GDP: A Real‐Time Out‐of‐Sample Examination," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2‐3), pages 449-463, March.
- Francesco Ravazzolo & Philip Rothman, 2010. "Oil and US GDP: A real-time out-of-sample examination," Working Paper 2010/18, Norges Bank.
- Francesco Ravazzolo & Philip Rothman, 2011. "Oil and US GDP: A Real-Time out-of Sample Examination," Working Papers No 2/2011, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Tamás Kiss & Hoang Nguyen & Pär Österholm, 2021.
"Modelling Returns in US Housing Prices—You’re the One for Me, Fat Tails,"
JRFM, MDPI, vol. 14(11), pages 1-17, October.
- Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2020. "Modelling Returns in US Housing Prices – You’re the One for Me, Fat Tails," Working Papers 2020:13, Örebro University, School of Business.
- Jan P. A. M. Jacobs & Simon van Norden, 2010.
"Lessons from the latest data on U.S. productivity,"
Working Papers
11-1, Federal Reserve Bank of Philadelphia.
- Jan P.A.M. Jacobs & Simon van Norden, 2010. "Lessons From the Latest Data on U.S. Productivity," CAMA Working Papers 2010-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Jan P.A.M. Jacobs & Simon van Norden, 2010. "Lessons From the Latest Data on U.S. Productivity," CIRANO Working Papers 2010s-46, CIRANO.
- Stekler, Herman & Symington, Hilary, 2016. "Evaluating qualitative forecasts: The FOMC minutes, 2006–2010," International Journal of Forecasting, Elsevier, vol. 32(2), pages 559-570.
- Richardson, Adam & van Florenstein Mulder, Thomas & Vehbi, Tuğrul, 2021.
"Nowcasting GDP using machine-learning algorithms: A real-time assessment,"
International Journal of Forecasting, Elsevier, vol. 37(2), pages 941-948.
- Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019. "Nowcasting New Zealand GDP using machine learning algorithms," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
- Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2018. "Nowcasting New Zealand GDP using machine learning algorithms," CAMA Working Papers 2018-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2015.
"Realtime nowcasting with a Bayesian mixed frequency model with stochastic volatility,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(4), pages 837-862, October.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012. "Real-time nowcasting with a Bayesian mixed frequency model with stochastic volatility," Working Papers (Old Series) 1227, Federal Reserve Bank of Cleveland.
- Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2013. "Real-Time Nowcasting with a Bayesian Mixed Frequency Model with Stochastic Volatility," CEPR Discussion Papers 9312, C.E.P.R. Discussion Papers.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2016.
"Common Drifting Volatility in Large Bayesian VARs,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 375-390, July.
- Andrea CARRIERO & Todd E. CLARK & Massimiliano MARCELLINO, 2012. "Common Drifting Volatility in Large Bayesian VARs," Economics Working Papers ECO2012/08, European University Institute.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012. "Common drifting volatility in large Bayesian VARs," Working Papers (Old Series) 1206, Federal Reserve Bank of Cleveland.
- Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2012. "Common Drifting Volatility in Large Bayesian VARs," CEPR Discussion Papers 8894, C.E.P.R. Discussion Papers.
- Liu, Dandan & Smith, Julie K., 2014. "Inflation forecasts and core inflation measures: Where is the information on future inflation?," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 133-137.
- Knüppel, Malte & Schultefrankenfeld, Guido, 2019.
"Assessing the uncertainty in central banks’ inflation outlooks,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1748-1769.
- Knüppel, Malte & Schultefrankenfeld, Guido, 2018. "Assessing the uncertainty in central banks' inflation outlooks," Discussion Papers 56/2018, Deutsche Bundesbank.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022.
"Nowcasting tail risk to economic activity at a weekly frequency,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 843-866, August.
- Marcellino, Massimiliano & Clark, Todd & Carriero, Andrea, 2021. "Nowcasting Tail Risk to Economic Activity at a Weekly Frequency," CEPR Discussion Papers 16496, C.E.P.R. Discussion Papers.
- Faust, Jon & Gupta, Abhishek, 2010.
"Posterior Predictive Analysis for Evaluating DSGE Models,"
MPRA Paper
26721, University Library of Munich, Germany.
- Jon Faust & Abhishek Gupta, 2012. "Posterior Predictive Analysis for Evaluating DSGE Models," NBER Working Papers 17906, National Bureau of Economic Research, Inc.
- Chang, Andrew C. & Hanson, Tyler J., 2016. "The accuracy of forecasts prepared for the Federal Open Market Committee," Journal of Economics and Business, Elsevier, vol. 83(C), pages 23-43.
- Barbara Rossi & Tatevik Sekhposyan, 2016.
"Forecast Rationality Tests in the Presence of Instabilities, with Applications to Federal Reserve and Survey Forecasts,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 507-532, April.
- Barbara Rossi & Tatevik Sekhposyany, 2014. "Forecast Rationality Tests in the Presence of Instabilities, With Applications to Federal Reserve and Survey Forecasts," Working Papers 765, Barcelona School of Economics.
- Barbara Rossi & Tatevik Sekhposyan, 2014. "Forecast rationality tests in the presence of instabilities, with applications to Federal Reserve and survey forecasts," Economics Working Papers 1426, Department of Economics and Business, Universitat Pompeu Fabra, revised Nov 2014.
- Rossi, Barbara & Sekhposyan, Tatevik, 2016. "Forecast Rationality Tests in the Presence of Instabilities, With Applications to Federal Reserve and Survey Forecasts," CEPR Discussion Papers 11391, C.E.P.R. Discussion Papers.
- Michael P. Clements & Ana Beatriz Galvão, 2014. "Measuring Macroeconomic Uncertainty: US Inflation and Output Growth," ICMA Centre Discussion Papers in Finance icma-dp2014-04, Henley Business School, University of Reading.
- Ganics, Gergely & Odendahl, Florens, 2021.
"Bayesian VAR forecasts, survey information, and structural change in the euro area,"
International Journal of Forecasting, Elsevier, vol. 37(2), pages 971-999.
- Gergely Ganics & Florens Odendahl, 2019. "Bayesian VAR forecasts, survey information and structural change in the euro area," Working Papers 1948, Banco de España.
- Gergely Ganics & Florens Odendahl, 2019. "Bayesian VAR Forecasts, Survey Information and Structural Change in the Euro Area," Working papers 733, Banque de France.
- Michael S. Smith & Shaun P. Vahey, 2016. "Asymmetric Forecast Densities for U.S. Macroeconomic Variables from a Gaussian Copula Model of Cross-Sectional and Serial Dependence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(3), pages 416-434, July.
- Guérin, Pierre & Leiva-Leon, Danilo, 2017.
"Model averaging in Markov-switching models: Predicting national recessions with regional data,"
Economics Letters, Elsevier, vol. 157(C), pages 45-49.
- Guérin, Pierre & Leiva-Leon, Danilo, 2014. "Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data," MPRA Paper 59361, University Library of Munich, Germany.
- Pierre Guérin & Danilo Leiva-Leon, 2017. "Model averaging in markov-switching models: predicting national recessions with regional data," Working Papers 1727, Banco de España.
- Pierre Guérin & Danilo Leiva-Leon, 2015. "Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data," Staff Working Papers 15-24, Bank of Canada.
- Natsuki Arai, 2016. "Evaluating the Efficiency of the FOMC's New Economic Projections," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(5), pages 1019-1049, August.
- Antolín-Díaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2024.
"Advances in nowcasting economic activity: The role of heterogeneous dynamics and fat tails,"
Journal of Econometrics, Elsevier, vol. 238(2).
- Antolin-Diaz, Juan & Drechsel, Thomas & Petrella, Ivan, 2023. "Advances in Nowcasting Economic Activity: The Role of Heterogeneous Dynamics and Fat Tails," CEPR Discussion Papers 17800, C.E.P.R. Discussion Papers.
- James D. Hamilton, 2018. "The Efficacy of Large-Scale Asset Purchases When the Short-Term Interest Rate Is at Its Effective Lower Bound," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 49(2 (Fall)), pages 543-554.
- Todd E. Clark & Gergely Ganics & Elmar Mertens, 2022.
"Constructing Fan Charts from the Ragged Edge of SPF Forecasts,"
Working Papers
22-36, Federal Reserve Bank of Cleveland.
- Todd E. Clark & Gergely Ganics & Elmar Mertens, 2024. "Constructing fan charts from the ragged edge of SPF forecasts," Working Papers 2429, Banco de España.
- Clark, Todd E. & Ganics, Gergely & Mertens, Elmar, 2024. "Constructing fan charts from the ragged edge of SPF forecasts," Discussion Papers 38/2024, Deutsche Bundesbank.
- Todd E. Clark & Gergely Ganics & Elmar Mertens, 2024. "Constructing Fan Charts from the Ragged Edge of SPF Forecasts," Working Papers 22-36R, Federal Reserve Bank of Cleveland.
- Schwarzmüller, Tim, 2015. "Model pooling and changes in the informational content of predictors: An empirical investigation for the euro area," Kiel Working Papers 1982, Kiel Institute for the World Economy (IfW Kiel).
- Gamber, Edward N. & Smith, Julie K. & McNamara, Dylan C., 2014. "Where is the Fed in the distribution of forecasters?," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 296-312.
- Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2023.
"Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 15(3), pages 355-387, July.
- Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," Working Paper Series 2020-08, Federal Reserve Bank of San Francisco.
- Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020. "Has the information channel of monetary policy disappeared? Revisiting the empirical evidence," Economics Working Papers 1701, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
- Rossi, Barbara & Sekhposyan, Tatevik & Hoesch, Lukas, 2020. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," CEPR Discussion Papers 14456, C.E.P.R. Discussion Papers.
- Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020. "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," Working Papers 1158, Barcelona School of Economics.
- Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2010.
"A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 720-754.
- Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2009. "A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model," Finance and Economics Discussion Series 2009-10, Board of Governors of the Federal Reserve System (U.S.).
- Elena Andreou & Andros Kourtellos, 2018. "Scoring rules for simple forecasting models: The case of Cyprus GDP and its sectors," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 12(1), pages 59-73, June.
- Fabio Canova & Luca Gambetti, 2010.
"Do Expectations Matter? The Great Moderation Revisited,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 2(3), pages 183-205, July.
- Fabio Canova & Luca Gambetti, 2007. "Do expectations matter? The Great Moderation revisited," Economics Working Papers 1084, Department of Economics and Business, Universitat Pompeu Fabra, revised Jan 2009.
- Canova, Fabio & Gambetti, Luca, 2009. "Do expectations matter? The Great Moderation revisited," CEPR Discussion Papers 7597, C.E.P.R. Discussion Papers.
- Fabian Krüger & Todd E. Clark & Francesco Ravazzolo, 2017.
"Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 470-485, July.
- Fabian Kr ger & Todd E. Clark & Francesco Ravazzolo, 2015. "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," Working Papers No 8/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Krüger, Fabian & Clark, Todd E. & Ravazzolo, Francesco, 2015. "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113077, Verein für Socialpolitik / German Economic Association.
- Todd E. Clark & Fabian Krueger & Francesco Ravazzolo, 2015. "Using Entropic Tilting to Combine BVAR Forecasts with External Nowcasts," Working Papers (Old Series) 1439, Federal Reserve Bank of Cleveland.
- Boussios, David & Skorbiansky, Sharon Raszap & MacLachlan, Matthew, 2021. "Evaluating U.S. Department of Agriculture’s Long-Term Forecasts for U.S. Harvested Area," Economic Research Report 327201, United States Department of Agriculture, Economic Research Service.
- Messina, Jeffrey D. & Sinclair, Tara M. & Stekler, Herman, 2015.
"What can we learn from revisions to the Greenbook forecasts?,"
Journal of Macroeconomics, Elsevier, vol. 45(C), pages 54-62.
- Tara M. Sinclair & Jeff Messina & Herman Stekler, 2014. "What Can We Learn From Revisions to the Greenbook Forecasts?," Working Papers 2014-14, The George Washington University, Institute for International Economic Policy.
- Jeff Messina & Tara M. Sinclair & Herman O. Stekler, 2014. "What Can We Learn From Revisions To The Greenbook Forecasts?," Working Papers 2014-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
- Michael Funke & Aaron Mehrotra & Hao Yu, 2015.
"Tracking Chinese CPI inflation in real time,"
Empirical Economics, Springer, vol. 48(4), pages 1619-1641, June.
- Funke, Michael & Mehrotra, Aaron & Yu, Hao, 2011. "Tracking Chinese CPI inflation in real time," BOFIT Discussion Papers 35/2011, Bank of Finland Institute for Emerging Economies (BOFIT).
- Funke, Michael & Mehrotra, Aaron & Yu, Hao, 2011. "Tracking Chinese CPI inflation in real time," BOFIT Discussion Papers 35/2011, Bank of Finland, Institute for Economies in Transition.
- Michael Funke & Hao Yu & Aaron Mehrota, 2011. "Tracking Chinese CPI inflation in real time," Quantitative Macroeconomics Working Papers 21112, Hamburg University, Department of Economics.
- P. A. Nazarov & Kazakova, Maria, 2014. "Development of Prediction Model of Basic Budget Parameters in Russian Federation," Published Papers r90220, Russian Presidential Academy of National Economy and Public Administration.
- N. Kundan Kishor & Evan F. Koenig, 2022. "Finding a Role for Slack in Real-Time Inflation Forecasting," International Journal of Central Banking, International Journal of Central Banking, vol. 18(2), pages 245-282, June.
- Julien Champagne & Guillaume Poulin-Bellisle & Rodrigo Sekkel, 2018. "Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts," Staff Working Papers 18-52, Bank of Canada.
- Svetlana Makarova, 2014. "Risk and Uncertainty: Macroeconomic Perspective," UCL SSEES Economics and Business working paper series 129, UCL School of Slavonic and East European Studies (SSEES).
- repec:spo:wpmain:info:hdl:2441/35kgubh40v9gfpnuruelqjnptb is not listed on IDEAS
- Alex Nikolsko-Rzhevskyy, 2011.
"Monetary Policy Estimation in Real Time: Forward-Looking Taylor Rules without Forward-Looking Data,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(5), pages 871-897, August.
- Alex Nikolsko‐Rzhevskyy, 2011. "Monetary Policy Estimation in Real Time: Forward‐Looking Taylor Rules without Forward‐Looking Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(5), pages 871-897, August.
- Daisuke Fujii & Taisuke Nakata, 2021.
"COVID-19 and output in Japan,"
The Japanese Economic Review, Springer, vol. 72(4), pages 609-650, October.
- FUJII Daisuke & NAKATA Taisuke, 2021. "Covid-19 and Output in Japan," Discussion papers 21004, Research Institute of Economy, Trade and Industry (RIETI).
- Daisuke Fujii & Taisuke Nakata, 2021. "Covid-19 and Output in Japan," CARF F-Series CARF-F-505, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
- Berge, Travis J. & Chang, Andrew C. & Sinha, Nitish R., 2019.
"Evaluating the conditionality of judgmental forecasts,"
International Journal of Forecasting, Elsevier, vol. 35(4), pages 1627-1635.
- Travis J. Berge & Andrew C. Chang & Nitish R. Sinha, 2019. "Evaluating the Conditionality of Judgmental Forecasts," Finance and Economics Discussion Series 2019-002, Board of Governors of the Federal Reserve System (U.S.).
- Gamber, Edward N. & Smith, Julie K., 2009.
"Are the Fed's inflation forecasts still superior to the private sector's?,"
Journal of Macroeconomics, Elsevier, vol. 31(2), pages 240-251, June.
- Edward N. Gamber & Julie K. Smith, 2007. "Are the Fed’s Inflation Forecasts Still Superior to the Private Sector’s?," Working Papers 2007-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Jul 2008.
- Arai, Natsuki, 2014. "Using forecast evaluation to improve the accuracy of the Greenbook forecast," International Journal of Forecasting, Elsevier, vol. 30(1), pages 12-19.
- Tae-Hwy Lee & Eric Hillebrand & Marcelo Medeiros, 2014. "Bagging Constrained Equity Premium Predictors," Working Papers 201421, University of California at Riverside, Department of Economics, revised Feb 2013.
- Emil Stavrev & Helge Berger, 2012.
"The information content of money in forecasting euro area inflation,"
Applied Economics, Taylor & Francis Journals, vol. 44(31), pages 4055-4072, November.
- Berger, Helge & Stavrev, Emil, 2008. "The information content of money in forecasting Euro area inflation," Discussion Papers 2008/15, Free University Berlin, School of Business & Economics.
- Chandranath Amarasekara & Rahul Anand & Kithsiri Ehelepola & Hemantha Ekanayake & Vishuddhi Jayawickrema & Sujeetha Jegajeevan & Csaba Kober & Tharindi Nugawela & Sergey Plotnikov & Adam Remo & Poongo, 2018. "An Open Economy Quarterly Projection Model for Sri Lanka," IMF Working Papers 2018/149, International Monetary Fund.
- Andrew Patton & Allan Timmermann, 2012.
"Forecast Rationality Tests Based on Multi-Horizon Bounds,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 1-17.
- Andrew J. Patton & Allan Timmermann, 2011. "Forecast Rationality Tests Based on Multi-Horizon Bounds," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 1-17, June.
- Timmermann, Allan & Patton, Andrew, 2011. "Forecast Rationality Tests Based on Multi-Horizon Bounds," CEPR Discussion Papers 8194, C.E.P.R. Discussion Papers.
- Zhang, Bo & Chan, Joshua C.C. & Cross, Jamie L., 2020.
"Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts,"
International Journal of Forecasting, Elsevier, vol. 36(4), pages 1318-1328.
- Bo Zhang & Joshua C.C. Chan & Jamie L. Cross, 2018. "Stochastic volatility models with ARMA innovations: An application to G7 inflation forecasts," CAMA Working Papers 2018-32, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Bespalova, Olga, 2018. "Forecast Evaluation in Macroeconomics and International Finance. Ph.D. thesis, George Washington University, Washington, DC, USA," MPRA Paper 117706, University Library of Munich, Germany.
- Jana Eklund & George Kapetanios & Simon Price, 2013. "Robust Forecast Methods and Monitoring during Structural Change," Manchester School, University of Manchester, vol. 81, pages 3-27, October.
- Yang, Yang & Zhang, Jiqiang & Chen, Sanpan, 2023. "Information effects of monetary policy announcements on oil price," Journal of Commodity Markets, Elsevier, vol. 30(C).
- Herbst, Edward & Schorfheide, Frank, 2012.
"Evaluating DSGE model forecasts of comovements,"
Journal of Econometrics, Elsevier, vol. 171(2), pages 152-166.
- Edward P. Herbst & Frank Schorfheide, 2011. "Evaluating DSGE model forecasts of comovements," Working Papers 11-5, Federal Reserve Bank of Philadelphia.
- Edward P. Herbst & Frank Schorfheide, 2012. "Evaluating DSGE model forecasts of comovements," Finance and Economics Discussion Series 2012-11, Board of Governors of the Federal Reserve System (U.S.).
- Knut Are Aastveit & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud, 2014.
"Nowcasting GDP in Real Time: A Density Combination Approach,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(1), pages 48-68, January.
- Knut Are Aastveit & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud, 2011. "Nowcasting GDP in Real-Time: A Density Combination Approach," Working Papers No 1/2011, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Knut Are Aastveit & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud, 2011. "Nowcasting GDP in real-time: A density combination approach," Working Paper 2011/11, Norges Bank.
- Andrew Martinez, 2017. "Testing for Differences in Path Forecast Accuracy: Forecast-Error Dynamics Matter," Working Papers (Old Series) 1717, Federal Reserve Bank of Cleveland.
- Clements, Michael P. & Galvão, Ana Beatriz, 2017. "Model and survey estimates of the term structure of US macroeconomic uncertainty," International Journal of Forecasting, Elsevier, vol. 33(3), pages 591-604.
- Boussios, David & Skoriansky, Sharon Raszap & MacLachlan, Matthew, 2021. "Evaluating U.S. Department of Agriculture’s Long-Term Forecasts for U.S. Harvested Area," USDA Miscellaneous 309619, United States Department of Agriculture.
- Groen, Jan J.J. & Kapetanios, George, 2016.
"Revisiting useful approaches to data-rich macroeconomic forecasting,"
Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 221-239.
- Jan J.J. Groen & George Kapetanios, 2008. "Revisiting Useful Approaches to Data-Rich Macroeconomic Forecasting," Working Papers 624, Queen Mary University of London, School of Economics and Finance.
- Jan J. J. Groen & George Kapetanios, 2008. "Revisiting useful approaches to data-rich macroeconomic forecasting," Staff Reports 327, Federal Reserve Bank of New York.
- Dean Croushore, 2011.
"Frontiers of Real-Time Data Analysis,"
Journal of Economic Literature, American Economic Association, vol. 49(1), pages 72-100, March.
- Dean Croushore, 2008. "Frontiers of real-time data analysis," Working Papers 08-4, Federal Reserve Bank of Philadelphia.
- repec:hal:spmain:info:hdl:2441/3pot7260lh88lrfhrhvs85lh2f is not listed on IDEAS
- Ilhan Kilic & Faruk Balli, 2024. "Measuring economic country-specific uncertainty in Türkiye," Empirical Economics, Springer, vol. 67(4), pages 1649-1689, October.
- Jennifer Castle & David Hendry, 2012. "Forecasting by factors, by variables, or both?," Economics Series Working Papers 600, University of Oxford, Department of Economics.
- Samuels, Jon D. & Sekkel, Rodrigo M., 2017. "Model Confidence Sets and forecast combination," International Journal of Forecasting, Elsevier, vol. 33(1), pages 48-60.
- Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
- Luca Fanelli & Marco M. Sorge, 2015. "Indeterminacy, Misspecification and Forecastability: Good Luck in Bad Policy?," CSEF Working Papers 402, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
- Mazumder, Sandeep, 2011. "Cost-based Phillips Curve forecasts of inflation," Journal of Macroeconomics, Elsevier, vol. 33(4), pages 553-567.
- Dong Hwan Oh & Andrew J. Patton, 2021. "Better the Devil You Know: Improved Forecasts from Imperfect Models," Finance and Economics Discussion Series 2021-071, Board of Governors of the Federal Reserve System (U.S.).
- Eric Hillebrand & Tae-Hwy Lee & Marcelo C. Medeiros, 2012.
"Let's Do It Again: Bagging Equity Premium Predictors,"
CREATES Research Papers
2012-41, Department of Economics and Business Economics, Aarhus University.
- Erik Hillebrand & Tae-Hwy Lee & Marcelo Cunha Medeiros, 2012. "Let´s do it again: bagging equity premium predictors," Textos para discussão 604, Department of Economics PUC-Rio (Brazil).
- Andrea Ajello & Luca Benzoni & Olena Chyruk & Stijn Van Nieuwerburgh, 2020.
"Core and ‘Crust’: Consumer Prices and the Term Structure of Interest Rates,"
The Review of Financial Studies, Society for Financial Studies, vol. 33(8), pages 3719-3765.
- Olena Chyruk & Luca Benzoni & Andrea Ajello, 2012. "Core and `Crust': Consumer Prices and the Term Structure of Interest Rates," 2012 Meeting Papers 922, Society for Economic Dynamics.
- Andrea Ajello & Luca Benzoni & Olena Chyruk, 2012. "Core and 'Crust': Consumer Prices and the Term Structure of Interest Rates," Working Paper Series WP-2014-11, Federal Reserve Bank of Chicago.
- Kishor N. Kundan, 2010. "The Superiority of Greenbook Forecasts and the Role of Recessions," NBP Working Papers 74, Narodowy Bank Polski.
- D’Amico, Stefania & King, Thomas B., 2023.
"What does anticipated monetary policy do?,"
Journal of Monetary Economics, Elsevier, vol. 138(C), pages 123-139.
- Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
- Michael Connolly & Taeyoung Doh, 2013.
"Has the effect of monetary policy announcements on asset prices changed?,"
Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 31-65.
- Michael Connolly & Taeyoung Doh, 2013. "Has the effect of monetary policy announcements on asset prices changed?," Macro Bulletin, Federal Reserve Bank of Kansas City, pages 3-4, September.
- Jones, Adam T. & Ogden, Richard E., 2017. "A day late and a dollar short: The effect of policy uncertainty on fed forecast errors," Economic Analysis and Policy, Elsevier, vol. 54(C), pages 112-122.
- Pablo Guerróon‐Quintana & Molin Zhong, 2023.
"Macroeconomic forecasting in times of crises,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
- Pablo Guerrón-Quintana & Molin Zhong, 2017. "Macroeconomic Forecasting in Times of Crises," Finance and Economics Discussion Series 2017-018, Board of Governors of the Federal Reserve System (U.S.).
- Castle, Jennifer L. & Clements, Michael P. & Hendry, David F., 2013. "Forecasting by factors, by variables, by both or neither?," Journal of Econometrics, Elsevier, vol. 177(2), pages 305-319.
- Allan W. Gregory & Hui Zhu, 2014. "Testing the value of lead information in forecasting monthly changes in employment from the Bureau of Labor Statistics," Applied Financial Economics, Taylor & Francis Journals, vol. 24(7), pages 505-514, April.
- Chanont Banternghansa & Michael W. McCracken, 2011.
"Real-time forecast averaging with ALFRED,"
Review, Federal Reserve Bank of St. Louis, vol. 93(Jan), pages 49-66.
- Chanont Banternghansa & Michael W. McCracken, 2010. "Real-time forecast averaging with ALFRED," Working Papers 2010-033, Federal Reserve Bank of St. Louis.
- João Valle e Azevedo, 2011.
"Rational vs. professional forecasts,"
Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
- João Valle e Azevedo & João Tovar Jalles, 2011. "Rational vs. Professional Forecasts," Working Papers w201114, Banco de Portugal, Economics and Research Department.
- Jacobs, Jan P.A.M. & van Norden, Simon, 2016. "Why are initial estimates of productivity growth so unreliable?," Journal of Macroeconomics, Elsevier, vol. 47(PB), pages 200-213.
- Knut Are Aastveit & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2017.
"Have Standard VARS Remained Stable Since the Crisis?,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(5), pages 931-951, August.
- Knut Are Aastveit & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2014. "Have standard VARs remained stable since the crisis?," Working Paper 2014/13, Norges Bank.
- Marcellino, Massimiliano & Aastveit, Knut Are & Carriero, Andrea & Clark, Todd, 2016. "Have Standard VARs Remained Stable Since the Crisis?," CEPR Discussion Papers 11558, C.E.P.R. Discussion Papers.
- Knut Are Aastveit & Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2014. "Have Standard VARs Remained Stable since the Crisis?," Working Papers (Old Series) 1411, Federal Reserve Bank of Cleveland.
- Breitenlechner, Max & Gründler, Daniel & Scharler, Johann, 2021. "Unconventional monetary policy announcements and information shocks in the U.S," Journal of Macroeconomics, Elsevier, vol. 67(C).
- Tito Nícias Teixeira da Silva Filho, 2013. "Banks, Asset Management or Consultancies' Inflation Forecasts: is there a better forecaster out there?," Working Papers Series 310, Central Bank of Brazil, Research Department.
- Cem Cakmakli & Hamza Demircan, 2020. "Using Survey Information for Improving the Density Nowcasting of US GDP with a Focus on Predictive Performance during Covid-19 Pandemic," Koç University-TUSIAD Economic Research Forum Working Papers 2016, Koc University-TUSIAD Economic Research Forum.
- Rochelle M. Edge & Refet S. Gurkaynak, 2010.
"How Useful Are Estimated DSGE Model Forecasts for Central Bankers?,"
Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 41(2 (Fall)), pages 209-259.
- Gürkaynak, Refet & Edge, Rochelle, 2010. "How Useful Are Estimated DSGE Model Forecasts for Central Bankers?," CEPR Discussion Papers 8158, C.E.P.R. Discussion Papers.
- Liebermann, Joelle, 2010.
"Real-time nowcasting of GDP: Factor model versus professional forecasters,"
MPRA Paper
28819, University Library of Munich, Germany.
- Liebermann, Joelle, 2011. "Real-Time Nowcasting of GDP: Factor Model versus Professional Forecasters," Research Technical Papers 3/RT/11, Central Bank of Ireland.
- Julien Champagne & Guillaume Poulin‐Bellisle & Rodrigo Sekkel, 2018.
"The Real‐Time Properties of the Bank of Canada's Staff Output Gap Estimates,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1167-1188, September.
- Julien Champagne & Guillaume Poulin-Bellisle & Rodrigo Sekkel, 2016. "The Real-Time Properties of the Bank of Canada’s Staff Output Gap Estimates," Staff Working Papers 16-28, Bank of Canada.
- Christoph Bertsch & Isaiah Hull & Xin Zhang, 2021.
"Monetary Normalizations and Consumer Credit: Evidence from Fed Liftoff and Online Lending,"
International Journal of Central Banking, International Journal of Central Banking, vol. 17(71), pages 1-47, December.
- Xin Zhang & Christoph Bertsch & Isaiah Hull, 2017. "Monetary Normalizations and Consumer Credit: Evidence from Fed Liftoff and Online Lending," 2017 Meeting Papers 442, Society for Economic Dynamics.
- Krüger, Fabian & Nolte, Ingmar, 2016. "Disagreement versus uncertainty: Evidence from distribution forecasts," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 172-186.
- Julien Champagne & Guillaume Poulin‐Bellisle & Rodrigo Sekkel, 2020. "Introducing the Bank of Canada staff economic projections database," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 114-129, January.
- Nikolsko-Rzhevskyy, Alex, 2008. "Monetary Policy Evaluation in Real Time: Forward-Looking Taylor Rules Without Forward-Looking Data," MPRA Paper 11352, University Library of Munich, Germany.
- Barbara Rossi, 2014. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 510-514, October.
- Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012.
"Disagreement Among Forecasters in G7 Countries,"
The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
- Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2009. "Disagreement among Forecasters in G7 Countries," Macroeconomics and Finance Series 200906, University of Hamburg, Department of Socioeconomics.
- Dovern, Jonas & Fritsche, Ulrich & Slacalek, Jiri, 2009. "Disagreement among forecasters in G7 countries," Working Paper Series 1082, European Central Bank.
- El-Shagi, Makram, 2019. "Rationality tests in the presence of instabilities in finite samples," Economic Modelling, Elsevier, vol. 79(C), pages 242-246.
- Pirschel, Inske & Wolters, Maik H., 2014.
"Forecasting German key macroeconomic variables using large dataset methods,"
Kiel Working Papers
1925, Kiel Institute for the World Economy (IfW Kiel).
- Pirschel, Inske & Wolters, Maik, 2014. "Forecasting German key macroeconomic variables using large dataset methods," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100587, Verein für Socialpolitik / German Economic Association.
- repec:spo:wpmain:info:hdl:2441/3pot7260lh88lrfhrhvs85lh2f is not listed on IDEAS
- Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2009. "A comparision of forecast, simple reduced-form models, and a DSGE model," CAMA Working Papers 2009-03, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Barbara Rossi, 2011. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 25-29, August.
- Stefan Neuwirth, 2017. "Time-varying mixed frequency forecasting: A real-time experiment," KOF Working papers 17-430, KOF Swiss Economic Institute, ETH Zurich.
- João Valle e Azevedo & Inês Maria Gonçalves, 2015. "Macroeconomic Forecasting Starting from Survey Nowcasts," Working Papers w201502, Banco de Portugal, Economics and Research Department.
- Weber, Christoph S., 2019.
"The effect of central bank transparency on exchange rate volatility,"
Journal of International Money and Finance, Elsevier, vol. 95(C), pages 165-181.
- Christoph S. Weber, 2017. "The Effect of Central Bank Transparency on Exchange Rate Volatility," Working Papers 174, Bavarian Graduate Program in Economics (BGPE).
- Alexander Glas & Matthias Hartmann, 2022.
"Uncertainty measures from partially rounded probabilistic forecast surveys,"
Quantitative Economics, Econometric Society, vol. 13(3), pages 979-1022, July.
- Alexander Glas & Matthias Hartmann, 2020. "Uncertainty measures from partially rounded probabilistic forecast surveys," Working Papers 427, University of Milano-Bicocca, Department of Economics, revised Jan 2020.
- Regis Barnichon & Christopher J. Nekarda, 2012.
"The Ins and Outs of Forecasting Unemployment: Using Labor Force Flows to Forecast the Labor Market,"
Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 83-131.
- Régis Barnichon & Christopher J. Nekarda, 2013. "The ins and outs of forecasting unemployment: Using labor force flows to forecast the labor market," Finance and Economics Discussion Series 2013-19, Board of Governors of the Federal Reserve System (U.S.).
- Konchitchki, Yaniv & Patatoukas, Panos N., 2014. "Accounting earnings and gross domestic product," Journal of Accounting and Economics, Elsevier, vol. 57(1), pages 76-88.
- Paul Hubert, 2010. "Monetary policy, imperfect information and the expectations channel [Politique monétaire,information imparfaite et canal des anticipations]," SciencePo Working papers Main tel-04095385, HAL.
- Paul Hubert, 2015.
"Revisiting the Greenbook’s relative forecasting performance,"
Revue de l'OFCE, Presses de Sciences-Po, vol. 0(1), pages 151-179.
- Paul Hubert, 2015. "Revisiting the greenbook's relative forecasting performance," SciencePo Working papers Main hal-01087522, HAL.
- Paul Hubert, 2015. "Revisiting the greenbook's relative forecasting performance," Post-Print hal-01087522, HAL.
- Dimitrios P. Louzis, 2017. "Macroeconomic and credit forecasts during the Greek crisis using Bayesian VARs," Empirical Economics, Springer, vol. 53(2), pages 569-598, September.
- Andrew C. Chang & Tyler J. Hanson, 2015. "The Accuracy of Forecasts Prepared for the Federal Open Market Committee," Finance and Economics Discussion Series 2015-62, Board of Governors of the Federal Reserve System (U.S.).
- Guihai Zhao, 2020. "Learning, Equilibrium Trend, Cycle, and Spread in Bond Yields," Staff Working Papers 20-14, Bank of Canada.
- Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05r, Department of Economics, University of Birmingham.
- Tae-Hwy Lee & Yiyao Wang, 2019. "Evaluation of the Survey of Professional Forecasters in the Greenbook’s Loss Function," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 345-360, June.
- repec:zbw:bofitp:2011_035 is not listed on IDEAS
- Garciga, Christian & Knotek II, Edward S., 2019. "Forecasting GDP growth with NIPA aggregates: In search of core GDP," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1814-1828.
- repec:hal:wpspec:info:hdl:2441/f4rshpf3v1umfa09lat09b1bg is not listed on IDEAS
- Reifschneider, David & Tulip, Peter, 2019. "Gauging the uncertainty of the economic outlook using historical forecasting errors: The Federal Reserve’s approach," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1564-1582.
- Michael P. Clements, 2015. "Are Professional Macroeconomic Forecasters Able To Do Better Than Forecasting Trends?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(2-3), pages 349-382, March.
- Clements, Michael P., 2016.
"Real-time factor model forecasting and the effects of instability,"
Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 661-675.
- Michael P. Clements, 2014. "Real-Time Factor Model Forecasting and the Effects of Instability," ICMA Centre Discussion Papers in Finance icma-dp2014-05, Henley Business School, University of Reading.
- Gamber, Edward N. & Liebner, Jeffrey P. & Smith, Julie K., 2015. "The distribution of inflation forecast errors," Journal of Policy Modeling, Elsevier, vol. 37(1), pages 47-64.
- Patrick Higgins & Julie L Hotchkiss & Ellyn Terry, 2019. "Evolution of Behavior, Uncertainty, and the Difficulty of Predicting Labor Force Participation," Business and Economic Research, Macrothink Institute, vol. 9(4), pages 157-178, December.
- Bańbura, Marta & Belousova, Irina & Bodnár, Katalin & Tóth, Máté Barnabás, 2023. "Nowcasting employment in the euro area," Working Paper Series 2815, European Central Bank.
- Bhatt, Vipul & Kishor, Kundan & Marfatia, Hardik, 2017. "Estimating excess sensitivity and habit persistence in consumption using Greenbook forecast as an instrument," MPRA Paper 79748, University Library of Munich, Germany.
- Groen, Jan J.J. & Kapetanios, George, 2016.
"Revisiting useful approaches to data-rich macroeconomic forecasting,"
Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 221-239.
- Jan J. J. Groen & George Kapetanios, 2008. "Revisiting useful approaches to data-rich macroeconomic forecasting," Staff Reports 327, Federal Reserve Bank of New York.
- Jan J.J. Groen & George Kapetanios, 2008. "Revisiting Useful Approaches to Data-Rich Macroeconomic Forecasting," Working Papers 624, Queen Mary University of London, School of Economics and Finance.
- Jan J.J. Groen & George Kapetanios, 2008. "Revisiting Useful Approaches to Data-Rich Macroeconomic Forecasting," Working Papers 624, Queen Mary University of London, School of Economics and Finance.
- repec:hal:spmain:info:hdl:2441/f4rshpf3v1umfa09lat09b1bg is not listed on IDEAS
- Volker Wieland & Maik Wolters, 2011.
"The diversity of forecasts from macroeconomic models of the US economy,"
Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 47(2), pages 247-292, June.
- Wieland, Volker & Wolters, Maik, 2010. "The Diversity of Forecasts from Macroeconomic Models of the U.S. Economy," CEPR Discussion Papers 7870, C.E.P.R. Discussion Papers.
- Wieland, Volker & Wolters, Maik H., 2010. "The diversity of forecasts from macroeconomic models of the U.S. economy," CFS Working Paper Series 2010/08, Center for Financial Studies (CFS).
- Marta Banbura & Andries van Vlodrop, 2018. "Forecasting with Bayesian Vector Autoregressions with Time Variation in the Mean," Tinbergen Institute Discussion Papers 18-025/IV, Tinbergen Institute.
- Tom Stark, 2010. "Realistic evaluation of real-time forecasts in the Survey of Professional Forecasters," Research Rap Special Report, Federal Reserve Bank of Philadelphia, issue May.
- repec:hal:spmain:info:hdl:2441/35kgubh40v9gfpnuruelqjnptb is not listed on IDEAS
- Marc-André Gosselin & Temel Taskin, 2023. "What Can Earnings Calls Tell Us About the Output Gap and Inflation in Canada?," Discussion Papers 2023-13, Bank of Canada.
- Tae-Hwy Lee & Yiyao Wang, 2015. "Finding SPF Percentiles Closest to Greenbook," Working Papers 201503, University of California at Riverside, Department of Economics.
- David Reifschneider & Peter Tulip, 2017.
"Gauging the Uncertainty of the Economic Outlook Using Historical Forecasting Errors: The Federal Reserve's Approach,"
RBA Research Discussion Papers
rdp2017-01, Reserve Bank of Australia.
- David L. Reifschneider & Peter Tulip, 2017. "Gauging the Uncertainty of the Economic Outlook Using Historical Forecasting Errors : The Federal Reserve's Approach," Finance and Economics Discussion Series 2017-020, Board of Governors of the Federal Reserve System (U.S.).
- P. A. Nazarov & Kazakova, Maria, 2014. "Methodological Principles of Prediction of Tax Revenues of Budgetary System," Published Papers r90219, Russian Presidential Academy of National Economy and Public Administration.
- Lillian R. Gaeto & Sandeep Mazumder, 2019. "Measuring the Accuracy of Federal Reserve Forecasts," Southern Economic Journal, John Wiley & Sons, vol. 85(3), pages 960-984, January.
- Andrew C. Chang, 2018. "The Fed's Asymmetric Forecast Errors," Finance and Economics Discussion Series 2018-026, Board of Governors of the Federal Reserve System (U.S.).
- Lunsford, Kurt G., 2015. "Forecasting residential investment in the United States," International Journal of Forecasting, Elsevier, vol. 31(2), pages 276-285.
- Richardson, Adam & van Florenstein Mulder, Thomas & Vehbi, Tuğrul, 2021.
"Nowcasting GDP using machine-learning algorithms: A real-time assessment,"
International Journal of Forecasting, Elsevier, vol. 37(2), pages 941-948.
- Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019. "Nowcasting GDP using machine learning algorithms: A real-time assessment," Reserve Bank of New Zealand Discussion Paper Series DP2019/03, Reserve Bank of New Zealand.
- Mehrotra, Aaron & Sánchez-Fung, José R., 2008. "Forecasting inflation in China," BOFIT Discussion Papers 2/2008, Bank of Finland, Institute for Economies in Transition.
- Silvia Goncalves & Michael W. McCracken & Yongxu Yao, 2023. "Bootstrapping out-of-sample predictability tests with real-time data," Working Papers 2023-029, Federal Reserve Bank of St. Louis, revised 03 Sep 2024.
- repec:spo:wpmain:info:hdl:2441/f4rshpf3v1umfa09lat09b1bg is not listed on IDEAS
- Kontogeorgos, Georgios & Lambrias, Kyriacos, 2019. "An analysis of the Eurosystem/ECB projections," Working Paper Series 2291, European Central Bank.
- repec:spo:wpecon:info:hdl:2441/f4rshpf3v1umfa09lat09b1bg is not listed on IDEAS
- Ricardo Nunes, 2013. "Do central banks’ forecasts take into account public opinion and views?," International Finance Discussion Papers 1080, Board of Governors of the Federal Reserve System (U.S.).
- Jon D. Samuels & Rodrigo Sekkel, 2013. "Forecasting with Many Models: Model Confidence Sets and Forecast Combination," Staff Working Papers 13-11, Bank of Canada.
- Todd E. Clark & Francesco Ravazzolo, 2012.
"The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility,"
Working Papers (Old Series)
1218, Federal Reserve Bank of Cleveland.
- Todd E. Clark & Francesco Ravazzolo, 2012. "The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility," Working Paper 2012/09, Norges Bank.
- Monica Jain, 2018. "Sluggish Forecasts," Staff Working Papers 18-39, Bank of Canada.
- Tyler Pike & Horacio Sapriza & Tom Zimmermann, 2019. "Bottom-up Leading Macroeconomic Indicators: An Application to Non-Financial Corporate Defaults using Machine Learning," Finance and Economics Discussion Series 2019-070, Board of Governors of the Federal Reserve System (U.S.).
- Rochelle M. Edge & Refet S. Gürkaynak, 2011. "How useful are estimated DSGE model forecasts?," Finance and Economics Discussion Series 2011-11, Board of Governors of the Federal Reserve System (U.S.).
- Markus Heinrich & Magnus Reif, 2020. "Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters," CESifo Working Paper Series 8054, CESifo.
- N. Kundan Kishor & Evan F. Koenig, 2016. "The roles of inflation expectations, core inflation, and slack in real-time inflation forecasting," Working Papers 1613, Federal Reserve Bank of Dallas.
- Mr. Emil Stavrev & Mr. Helge Berger, 2008. "The Information Content of Money in Forecasting Euro Area Inflation," IMF Working Papers 2008/166, International Monetary Fund.
- Boussios, David & Skorbiansky, Sharon Raszap & Maclachlan, Matthew, 2021. "Evaluating U.S. Department of Agriculture’s Long-Term Forecasts for U.S. Harvested Area," USDA Miscellaneous 309616, United States Department of Agriculture.
- Fanelli, Luca & Sorge, Marco M., 2017. "Indeterminate forecast accuracy under indeterminacy," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 57-70.
- N. Kundan Kishor & Evan F. Koenig, 2014. "Credit Indicators as Predictors of Economic Activity: A Real‐Time VAR Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(2-3), pages 545-564, March.
- Vipul Bhatt & N. Kundan Kishor & Hardik Marfatia, 2020. "Estimating Excess Sensitivity and Habit Persistence in Consumption Using Greenbook Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(2), pages 257-284, April.
- Peter Tulip, 2009. "Has the Economy Become More Predictable? Changes in Greenbook Forecast Accuracy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1217-1231, September.
- Arai, Natsuki, 2020. "Investigating the inefficiency of the CBO’s budgetary projections," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1290-1300.