Simon Potter
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Blog mentions
As found by EconAcademics.org, the blog aggregator for Economics research:- Simon M. Potter & Giorgio Topa & Wilbert van den Klaauv, 2017.
"The Advantages of Probabilistic Survey Questions,"
Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 9(1), pages 1-32, June.
Mentioned in:
- Just Released: Introducing the SCE Household Spending Survey
by Blog Author in Liberty Street Economics on 2019-02-19 16:00:00
- Just Released: Introducing the SCE Household Spending Survey
- James J. McAndrews & Simon M. Potter, 2002.
"Liquidity effects of the events of September 11, 2001,"
Economic Policy Review, Federal Reserve Bank of New York, vol. 8(Nov), pages 59-79.
Mentioned in:
- Operational Risk and Financial Stability
by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2017-09-18 16:56:01 - Cyber Risk, Financial Stability and the Payments System
by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2020-07-26 15:50:41
- Operational Risk and Financial Stability
RePEc Biblio mentions
As found on the RePEc Biblio, the curated bibliography of Economics:- Marlene Amstad & Simon M. Potter & Robert W. Rich, 2014.
"The FRBNY staff underlying inflation gauge: UIG,"
Staff Reports
672, Federal Reserve Bank of New York.
- Marlene Amstad & Simon Potter & Robert Rich, 2014. "The FRBNY Staff Underlying Inflation Gauge: UIG," BIS Working Papers 453, Bank for International Settlements.
Mentioned in:
Wikipedia or ReplicationWiki mentions
(Only mentions on Wikipedia that link back to a page on a RePEc service)- Potter, Simon M, 1995.
"A Nonlinear Approach to US GNP,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 10(2), pages 109-125, April-Jun.
- Simon M. Potter, 1993. "A Nonlinear Approach to U.S. GNP," UCLA Economics Working Papers 693, UCLA Department of Economics.
Mentioned in:
- A nonlinear approach to US GNP (Journal of Applied Econometrics 1995) in ReplicationWiki ()
- Gary Koop & Simon M. Potter, 2007.
"Estimation and Forecasting in Models with Multiple Breaks,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(3), pages 763-789.
Mentioned in:
- Estimation and Forecasting in Models with Multiple Breaks (REStud 2007) in ReplicationWiki ()
- Koop, Gary & Potter, Simon M., 2011.
"Time varying VARs with inequality restrictions,"
Journal of Economic Dynamics and Control, Elsevier, vol. 35(7), pages 1126-1138, July.
Mentioned in:
- Time varying VARs with inequality restrictions (JEDC 2011) in ReplicationWiki ()
- Joshua C. C. Chan & Gary Koop & Simon M. Potter, 2013.
"A New Model of Trend Inflation,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 94-106, January.
- Joshua Chan & Gary Koop & Simon Potter, 2012. "A New Model of Trend Inflation," Working Papers 1202, University of Strathclyde Business School, Department of Economics.
- Chan, Joshua & Koop, Gary & Potter, Simon, 2012. "A New Model Of Trend Inflation," SIRE Discussion Papers 2012-12, Scottish Institute for Research in Economics (SIRE).
- Chan, Joshua & Koop, Gary & Potter, Simon, 2012. "A new model of trend inflation," MPRA Paper 39496, University Library of Munich, Germany.
- Joshua C C Chan & Gary Koop & Simon M Potter, 2012. "A New Model of Trend Inflation," CAMA Working Papers 2012-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
Mentioned in:
- A New Model of Trend Inflation (J Business & Econ Statistics 2013) in ReplicationWiki ()
Working papers
- Gara Afonso & Kyungmin Kim & Antoine Martin & Ed Nosal & Simon M. Potter & Sam Schulhofer-Wohl, 2020.
"Monetary Policy Implementation with an Ample Supply of Reserves,"
FRB Atlanta Working Paper
2020-2, Federal Reserve Bank of Atlanta.
- Gara Afonso & Kyungmin Kim & Antoine Martin & Ed Nosal & Simon M. Potter & Sam Schulhofer-Wohl, 2020. "Monetary Policy Implementation With an Ample Supply of Reserves," Working Paper Series WP 2020-02, Federal Reserve Bank of Chicago.
- Gara Afonso & Kyungmin Kim & Antoine Martin & Ed Nosal & Simon M. Potter & Sam Schulhofer-Wohl, 2020. "Monetary policy implementation with an ample supply of reserves," Working Paper Series WP-2020-02, Federal Reserve Bank of Chicago.
- Kyungmin Kim & Antoine Martin & Gara Minguez-Afonso & Ed Nosal & Simon M. Potter & Sam Schulhofer-Wohl, 2020. "Monetary Policy Implementation with an Ample Supply of Reserves," Finance and Economics Discussion Series 2020-020, Board of Governors of the Federal Reserve System (U.S.).
- Gara M. dup Afonso & Kyungmin Kim & Antoine Martin & Ed Nosal & Simon M. Potter & Sam Schulhofer-Wohl, 2020. "Monetary Policy Implementation with an Ample Supply of Reserves," Staff Reports 910, Federal Reserve Bank of New York.
Cited by:
- Bichuch, Maxim & Feinstein, Zachary, 2022. "A repo model of fire sales with VWAP and LOB pricing mechanisms," European Journal of Operational Research, Elsevier, vol. 296(1), pages 353-367.
- Aberg, Pontus & Corsi, Marco & Grossmann-Wirth, Vincent & Hudepohl, Tom & Mudde, Yvo & Rosolin, Tiziana & Schobert, Franziska, 2021. "Demand for central bank reserves and monetary policy implementation frameworks: the case of the Eurosystem," Occasional Paper Series 282, European Central Bank.
- Francesco Casalena, 2024. "Back to normal? Assessing the Effects of the Federal Reserve's Quantitative Tightening," IHEID Working Papers 14-2024, Economics Section, The Graduate Institute of International Studies.
- Maxim Bichuch & Zachary Feinstein, 2020. "A Repo Model of Fire Sales with VWAP and LOB Pricing Mechanisms," Papers 2005.05364, arXiv.org, revised Mar 2021.
- Klingler, Sven & Syrstad, Olav, 2021. "Life after LIBOR," Journal of Financial Economics, Elsevier, vol. 141(2), pages 783-801.
- Fegatelli, Paolo, 2024. "Monetary policy and reserve requirements with a zero-interest digital euro," Journal of Macroeconomics, Elsevier, vol. 80(C).
- Simon M. Potter, 2019.
"The Federal Reserve's experience purchasing and reinvesting agency MBS: remarks at the Bank of England, London,"
Speech
311, Federal Reserve Bank of New York.
Cited by:
- Karen Pence, 2022.
"Liquidity in the mortgage market: How does the COVID‐19 crisis compare with the global financial crisis?,"
Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(6), pages 1405-1424, November.
- Karen M. Pence, 2022. "Liquidity in the Mortgage Market: How does the COVID-19 Crisis Compare with the Global Financial Crisis?," Finance and Economics Discussion Series 2022-039, Board of Governors of the Federal Reserve System (U.S.).
- Karen Pence, 2022.
"Liquidity in the mortgage market: How does the COVID‐19 crisis compare with the global financial crisis?,"
Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(6), pages 1405-1424, November.
- Simon M. Potter, 2018.
"Confidence in the implementation of U.S. monetary policy normalization: remarks at the 23rd EMEAP (Executives’ Meeting of East Asia-Pacific Central Banks) Governors’ Meeting, Manila, Philippines,"
Speech
291, Federal Reserve Bank of New York.
Cited by:
- Rod Garratt & Sofia Priazhkina, 2022. "Regulatory Requirements of Banks and Arbitrage in the Post-Crisis Federal Funds Market," Staff Working Papers 22-48, Bank of Canada.
- Simon M. Potter, 2017.
"Implementing monetary policy with the balance sheet: keynote remarks for ECB Workshop: Money Markets, Monetary Policy Implementation, and Central Bank Balance Sheets, Frankfurt am Main, Germany,"
Speech
259, Federal Reserve Bank of New York.
Cited by:
- Robert L. Hetzel, 2018. "The Evolution of U.S. Monetary Policy," Working Paper 18-1, Federal Reserve Bank of Richmond.
- Ioannis N. Kallianiotis & Iordanis Petsas, 2020. "The Effectiveness of the Single Mandate of the ECB and the Dual of the Fed," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(4), pages 1-11.
- Ioannis N. Kallianiotis, 2021. "Monetary Policy Rules vs Discretion: Social Cost and Benefits," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(5), pages 1-6.
- Ioannis N. Kallianiotis, 2019. "Monetary Policy, Real Cost of Capital, Financial Markets and the Real Economic Growth," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 9(1), pages 1-4.
- William T. Gavin, 2018. "Monetary Policy Regimes and the Real Interest Rate," Review, Federal Reserve Bank of St. Louis, vol. 100(2), pages 151-169.
- Simon M. Potter, 2017.
"Keynote remarks for the Commemoration of the Centennial of the Federal Reserve’s U.S. Dollar Account Services to the Global Official Sector,"
Speech
268, Federal Reserve Bank of New York.
Cited by:
- Robert N McCauley & Catherine R Schenk, 2020. "Central bank swaps then and now: swaps and dollar liquidity in the 1960s," BIS Working Papers 851, Bank for International Settlements.
- Simon M. Potter, 2017.
"Money markets at a crossroads: policy implementation at a time of structural change: remarks at the Master of Applied Economics' Distinguished Speaker Series, University of California, Los Angeles,"
Speech
240, Federal Reserve Bank of New York.
Cited by:
- Saki Bigio & Javier Bianchi, 2014.
"Banks, Liquidity Management and Monetary Policy,"
2014 Meeting Papers
489, Society for Economic Dynamics.
- Javier Bianchi & Saki Bigio, 2014. "Banks, Liquidity Management, and Monetary Policy," Staff Report 503, Federal Reserve Bank of Minneapolis.
- Javier Bianchi & Saki Bigio, 2022. "Banks, Liquidity Management, and Monetary Policy," Econometrica, Econometric Society, vol. 90(1), pages 391-454, January.
- Javier Bianchi & Saki Bigio, 2014. "Banks, Liquidity Management and Monetary Policy," Working Papers 18, Peruvian Economic Association.
- Javier Bianchi & Saki Bigio, 2014. "Banks, Liquidity Management and Monetary Policy," NBER Working Papers 20490, National Bureau of Economic Research, Inc.
- Saki Bigio & Javier Bianchi, 2014.
"Banks, Liquidity Management and Monetary Policy,"
2014 Meeting Papers
489, Society for Economic Dynamics.
- Deborah Leonard & Antoine Martin & Simon M. Potter & Brett Rose, 2017.
"How the Fed Changes the Size of Its Balance Sheet: The Case of Mortgage-Backed Securities,"
Liberty Street Economics
20170711, Federal Reserve Bank of New York.
Cited by:
- Emily Greenwald & Sam Schulhofer-Wohl & Josh Younger, 2023. "Deposit Convexity, Monetary Policy and Financial Stability," Working Papers 2315, Federal Reserve Bank of Dallas.
- Jane E. Ihrig & Lawrence Mize & Gretchen C. Weinbach, 2017. "How Does the Fed Adjust its Securities Holdings and Who is Affected?," Finance and Economics Discussion Series 2017-099, Board of Governors of the Federal Reserve System (U.S.).
- Deborah Leonard & Antoine Martin & Simon M. Potter, 2017.
"How the Fed Changes the Size of Its Balance Sheet,"
Liberty Street Economics
20170710, Federal Reserve Bank of New York.
Cited by:
- Jane E. Ihrig & Lawrence Mize & Gretchen C. Weinbach, 2017. "How Does the Fed Adjust its Securities Holdings and Who is Affected?," Finance and Economics Discussion Series 2017-099, Board of Governors of the Federal Reserve System (U.S.).
- Simon M. Potter, 2016.
"Discussion of “Evaluating Monetary Policy Operational Frameworks” by Ulrich Bindseil: remarks at the 2016 Economic Policy Symposium at Jackson Hole, Wyoming,"
Speech
216, Federal Reserve Bank of New York.
Cited by:
- Chaitri Gulati & Andrew Lee Smith, 2022. "The Evolving Role of the Fed’s Balance Sheet: Effects and Challenges," Economic Review, Federal Reserve Bank of Kansas City, vol. 107(no.4), November.
- Simon M. Potter, 2016.
"The advantages of probabilistic survey questions: remarks at the IT Forum and RCEA Bayesian Workshop, keynote address, Rimini, Italy, May 2016,"
Speech
211, Federal Reserve Bank of New York.
Cited by:
- Federico Bassetti & Roberto Casarin & Marco Del Negro, 2022.
"A Bayesian Approach to Inference on Probabilistic Surveys,"
Staff Reports
1025, Federal Reserve Bank of New York.
- Bassetti, Federico & Casarin, Roberto & Del Negro, Marco, 2024. "A Bayesian Approach for Inference on Probabilistic Surveys," CEPR Discussion Papers 19426, C.E.P.R. Discussion Papers.
- Lawrence L Kreicher & Robert Neil McCauley, 2016. "Asset managers, eurodollars and unconventional monetary policy," BIS Working Papers 578, Bank for International Settlements.
- Federico Bassetti & Roberto Casarin & Marco Del Negro, 2022.
"A Bayesian Approach to Inference on Probabilistic Surveys,"
Staff Reports
1025, Federal Reserve Bank of New York.
- Simon M. Potter, 2016.
"Implementing monetary policy post-crisis: What have we learned? What do we need to know? remarks at a workshop organized by Columbia University SIPA and the Federal Reserve Bank of New York, May 2016,"
Speech
208, Federal Reserve Bank of New York.
Cited by:
- Marcelo Rezende & Mary-Frances Styczynski & Cindy M. Vojtech, 2016. "The Effects of Liquidity Regulation on Bank Demand in Monetary Policy Operations," Finance and Economics Discussion Series 2016-090, Board of Governors of the Federal Reserve System (U.S.).
- Link, Thomas & Neyer, Ulrike, 2017. "Friction-induced interbank rate volatility under alternative interest corridor systems," DICE Discussion Papers 259, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
- Simon M. Potter, 2015.
"Money markets and monetary policy normalization,"
Speech
164, Federal Reserve Bank of New York.
Cited by:
- Huberto M. Ennis, 2017.
"Interventions in Markets with Adverse Selection: Implications for Discount Window Stigma,"
Working Paper
17-1, Federal Reserve Bank of Richmond.
- Huberto Ennis, 2016. "Interventions in markets with adverse selection: Implications for discount window stigma," 2016 Meeting Papers 1590, Society for Economic Dynamics.
- Huberto M. Ennis, 2019. "Interventions in Markets with Adverse Selection: Implications for Discount Window Stigma," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(7), pages 1737-1764, October.
- Mr. Manmohan Singh & Rohit Goel, 2019. "Pledged Collateral Market's Role in Transmission to Short-Term Market Rates," IMF Working Papers 2019/106, International Monetary Fund.
- Elizabeth C. Klee & Zeynep Senyuz & Emre Yoldas, 2016. "Effects of Changing Monetary and Regulatory Policy on Overnight Money Markets," Finance and Economics Discussion Series 2016-084, Board of Governors of the Federal Reserve System (U.S.).
- Huberto M. Ennis, 2017.
"Interventions in Markets with Adverse Selection: Implications for Discount Window Stigma,"
Working Paper
17-1, Federal Reserve Bank of Richmond.
- Simon M. Potter, 2014.
"Interest rate control during normalization,"
Speech
145, Federal Reserve Bank of New York.
Cited by:
- Naim Cordemans & Ide Stefaan, 2014. "Normalisation of monetary policy : prospects and divergences," Economic Review, National Bank of Belgium, issue iii, pages 29-52, December.
- Roc Armenter & Benjamin Lester, 2016.
"Excess Reserves and Monetary Policy Implementation,"
Working Papers
16-33, Federal Reserve Bank of Philadelphia.
- Roc Armenter & Benjamin Lester, 2017. "Excess Reserves and Monetary Policy Implementation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 23, pages 212-235, January.
- Wei Zhao, 2017. "Informal Finance and Asymmetric Information: A Theory Review," Applied Economics and Finance, Redfame publishing, vol. 4(2), pages 190-197, March.
- Onorante, Luca & Alessi, Lucia & Ghysels, Eric & Potter, Simon & Peach, Richard, 2014.
"Central bank macroeconomic forecasting during the global financial crisis: the European Central Bank and Federal Reserve Bank of New York experiences,"
Working Paper Series
1688, European Central Bank.
- Lucia Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon Potter, 2014. "Central Bank Macroeconomic Forecasting During the Global Financial Crisis: The European Central Bank and Federal Reserve Bank of New York Experiences," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 483-500, October.
- Luci Alessi & Eric Ghysels & Luca Onorante & Richard Peach & Simon M. Potter, 2014. "Central bank macroeconomic forecasting during the global financial crisis: the European Central Bank and Federal Reserve Bank of New York experiences," Staff Reports 680, Federal Reserve Bank of New York.
Cited by:
- Thunström, Linda & Nordström, Jonas & Shogren, Jason F., 2015.
"Certainty and overconfidence in future preferences for food,"
Journal of Economic Psychology, Elsevier, vol. 51(C), pages 101-113.
- Linda Thunström & Jonas Nordström & Jason F. Shogren, 2015. "Certainty and Overconfidence in Future Preferences for Food," IFRO Working Paper 2015/04, University of Copenhagen, Department of Food and Resource Economics.
- Jonathan Benchimol & Makram El-Shagi & Yossi Saadon, 2020.
"Do Expert Experience and Characteristics Affect Inflation Forecasts?,"
Bank of Israel Working Papers
2020.11, Bank of Israel.
- Jonathan Benchimol & Makram El-Shagi & Yossi Saadon, 2022. "Do expert experience and characteristics affect inflation forecasts?," Post-Print emse-04624966, HAL.
- Benchimol, Jonathan & El-Shagi, Makram & Saadon, Yossi, 2022. "Do expert experience and characteristics affect inflation forecasts?," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 205-226.
- Jonathan Benchimol & Makram El-Shagi & Yossi Saadon, 2020. "Do Expert Experience and Characteristics Affect Inflation Forecasts?," CFDS Discussion Paper Series 2020/6, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
- Carola Conces Binder & Rodrigo Sekkel, 2023.
"Central Bank Forecasting: A Survey,"
Staff Working Papers
23-18, Bank of Canada.
- Carola Conces Binder & Rodrigo Sekkel, 2024. "Central bank forecasting: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 38(2), pages 342-364, April.
- Carlos Diaz Vela, 2016.
"Extracting the Information Shocks from the Bank of England Inflation Density Forecasts,"
Discussion Papers in Economics
16/13, Division of Economics, School of Business, University of Leicester.
- Carlos DÃaz, 2018. "Extracting information shocks from the Bank of England inflation density forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(3), pages 316-326, April.
- Edward S. Knotek & Saeed Zaman, 2017.
"Financial Nowcasts and Their Usefulness in Macroeconomic Forecasting,"
Working Papers (Old Series)
1702, Federal Reserve Bank of Cleveland.
- Knotek, Edward S. & Zaman, Saeed, 2019. "Financial nowcasts and their usefulness in macroeconomic forecasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1708-1724.
- Fernanda Nechio, 2015. "Have long-term inflation expectations declined?," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
- Hartmann, Philipp & Smets, Frank, 2018.
"The first twenty years of the European Central Bank: monetary policy,"
CEPR Discussion Papers
13411, C.E.P.R. Discussion Papers.
- Hartmann, Philipp & Smets, Frank, 2018. "The first twenty years of the European Central Bank: monetary policy," Working Paper Series 2219, European Central Bank.
- Granziera, Eleonora & Jalasjoki, Pirkka & Paloviita, Maritta, 2024. "The bias of the ECB inflation projections: A State-dependent analysis," Bank of Finland Research Discussion Papers 4/2024, Bank of Finland.
- Niko Hauzenberger & Florian Huber & Luca Onorante, 2021.
"Combining shrinkage and sparsity in conjugate vector autoregressive models,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 304-327, April.
- Niko Hauzenberger & Florian Huber & Luca Onorante, 2020. "Combining Shrinkage and Sparsity in Conjugate Vector Autoregressive Models," Papers 2002.08760, arXiv.org, revised Aug 2020.
- Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li & Erica Moszkowski, 2018.
"DSGE forecasts of the lost recovery,"
Staff Reports
844, Federal Reserve Bank of New York.
- Cai, Michael & Del Negro, Marco & Giannoni, Marc P. & Gupta, Abhi & Li, Pearl & Moszkowski, Erica, 2019. "DSGE forecasts of the lost recovery," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1770-1789.
- Lorenzo Burlon & Simone Emiliozzi & Alessandro Notarpietro & Massimiliano Pisani, 2015. "Medium-term forecasting of euro-area macroeconomic variables with DSGE and BVARX models," Questioni di Economia e Finanza (Occasional Papers) 257, Bank of Italy, Economic Research and International Relations Area.
- Iversen, Jens & Laséen, Stefan & Lundvall, Henrik & Söderström, Ulf, 2016.
"Real-Time Forecasting for Monetary Policy Analysis: The Case of Sveriges Riksbank,"
Working Paper Series
318, Sveriges Riksbank (Central Bank of Sweden).
- Söderström, Ulf & Iversen, Jens & LASEEN, PER & Lundvall, Henrik, 2016. "Real-Time Forecasting for Monetary Policy Analysis: The Case of Sveriges Riksbank," CEPR Discussion Papers 11203, C.E.P.R. Discussion Papers.
- Hwee Kwan Chow & Keen Meng Choy, 2023. "Economic forecasting in a pandemic: some evidence from Singapore," Empirical Economics, Springer, vol. 64(5), pages 2105-2124, May.
- Eleni Argiri & Stephen G. Hall & Angeliki Momtsia & Daphne Marina Papadopoulou & Ifigeneia Skotida & George S. Tavlas & Yongli Wang, 2024. "An evaluation of the inflation forecasting performance of the European Central Bank, the Federal Reserve, and the Bank of England," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 932-947, July.
- Michal Franta & Jan Libich, 2024.
"Holding the economy by the tail: analysis of short- and long-run macroeconomic risks,"
Empirical Economics, Springer, vol. 66(4), pages 1443-1489, April.
- Michal Franta & Jan Libich, 2021. "Holding the Economy by the Tail: Analysis of Short- and Long-run Macroeconomic Risks," Working Papers 2021/3, Czech National Bank.
- Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
- Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021.
"Expecting the unexpected: economic growth under stress,"
Working Papers
202106, University of California at Riverside, Department of Economics.
- Gonzalez Rivera, Gloria & Rodríguez Caballero, Carlos Vladimir, 2021. "Expecting the unexpected: economic growth under stress," DES - Working Papers. Statistics and Econometrics. WS 32148, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Gloria González-Rivera & Carlos Vladimir Rodríguez-Caballero & Esther Ruiz Ortega, 2021. "Expecting the unexpected: economic growth under stress," CREATES Research Papers 2021-06, Department of Economics and Business Economics, Aarhus University.
- Boriss Siliverstovs, 2021. "New York FED Staff Nowcasts and Reality: What Can We Learn about the Future, the Present, and the Past?," Econometrics, MDPI, vol. 9(1), pages 1-25, March.
- Pierre L. Siklos, 2016. "Forecast Disagreement and the Inflation Outlook: New International Evidence," IMES Discussion Paper Series 16-E-03, Institute for Monetary and Economic Studies, Bank of Japan.
- Leif Anders Thorsrud, 2016.
"Nowcasting using news topics. Big Data versus big bank,"
Working Paper
2016/20, Norges Bank.
- Leif Anders Thorsrud, 2016. "Nowcasting using news topics Big Data versus big bank," Working Papers No 6/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- G. Kontogeorgos & K. Lambrias, 2022. "Evaluating the Eurosystem/ECB staff macroeconomic projections: The first 20 years," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 213-229, March.
- Oguzhan Cepni & I. Ethem Guney & Norman R. Swanson, 2020. "Forecasting and nowcasting emerging market GDP growth rates: The role of latent global economic policy uncertainty and macroeconomic data surprise factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 18-36, January.
- Huber, Florian & Onorante, Luca & Pfarrhofer, Michael, 2024.
"Forecasting euro area inflation using a huge panel of survey expectations,"
International Journal of Forecasting, Elsevier, vol. 40(3), pages 1042-1054.
- Florian Huber & Luca Onorante & Michael Pfarrhofer, 2022. "Forecasting euro area inflation using a huge panel of survey expectations," Papers 2207.12225, arXiv.org.
- Nima Nonejad, 2021. "Should crude oil price volatility receive more attention than the price of crude oil? An empirical investigation via a large‐scale out‐of‐sample forecast evaluation of US macroeconomic data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 769-791, August.
- Eleonora Granziera & Pirkka Jalasjoki & Maritta Paloviita, 2021. "The Bias and Efficiency of the ECB Inflation Projections: a State Dependent Analysis," Working Paper 2021/1, Norges Bank.
- Pierre L. Siklos, 2017.
"What has publishing inflation forecasts accomplished? Central banks and their competitors,"
CAMA Working Papers
2017-33, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Pierre L. Siklos, 2018. "What has publishing inflation forecasts accomplished? Central banks and their competitors," CAMA Working Papers 2018-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Siklos, Pierre, 2017. "What Has Publishing Inflation Forecasts Accomplished? Central Banks And Their Competitors," LCERPA Working Papers 0098, Laurier Centre for Economic Research and Policy Analysis, revised 01 Apr 2017.
- Fabio Ashtar Telarico, 2021. "Forecasting pandemic tax revenues in a small, open economy," Papers 2112.15431, arXiv.org.
- Hilde C. Bjørnland & Francesco Ravazzolo & Leif Anders Thorsrud, 2015.
"Forecasting GDP with global components. This time is different,"
Working Papers
No 1/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Hilde C. Bjørnland & Francesco Ravazzolo & Leif Anders Thorsrud, 2015. "Forecasting GDP with global components. This time is different," Working Paper 2015/05, Norges Bank.
- Hilde C. Bjornland & Francesco Ravazzolo & Leif Anders Thorsrud, 2016. "Forecasting GDP with global components. This time is different," CAMA Working Papers 2016-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Bjørnland, Hilde C. & Ravazzolo, Francesco & Thorsrud, Leif Anders, 2017. "Forecasting GDP with global components: This time is different," International Journal of Forecasting, Elsevier, vol. 33(1), pages 153-173.
- Nicolaas Johannes Odendaal & Monique Reid, 2018.
"Media based sentiment indices as an alternative measure of consumer confidence,"
Working Papers
17/2018, Stellenbosch University, Department of Economics.
- Hanjo Odendaal & Monique Reid & Johann F. Kirsten, 2020. "Media‐Based Sentiment Indices as an Alternative Measure of Consumer Confidence," South African Journal of Economics, Economic Society of South Africa, vol. 88(4), pages 409-434, December.
- Kevin J. Lansing & Benjamin Pyle, 2015. "Persistent overoptimism about economic growth," FRBSF Economic Letter, Federal Reserve Bank of San Francisco.
- Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018. "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers 18-069/III, Tinbergen Institute.
- Sephton, Peter & Mann, Janelle, 2018. "Gold and crude oil prices after the great moderation," Energy Economics, Elsevier, vol. 71(C), pages 273-281.
- Granziera, Eleonora & Jalasjoki, Pirkka & Paloviita, Maritta, 2021. "The bias and efficiency of the ECB inflation projections: A state dependent analysis," Bank of Finland Research Discussion Papers 7/2021, Bank of Finland.
- Goodhart, C. A. E. & Pradhan, Manoj, 2023. "A snapshot of Central Bank (two year) forecasting: a mixed picture," LSE Research Online Documents on Economics 118680, London School of Economics and Political Science, LSE Library.
- Kontogeorgos, Georgios & Lambrias, Kyriacos, 2019. "An analysis of the Eurosystem/ECB projections," Working Paper Series 2291, European Central Bank.
- Carola Binder & Wesley Janson & Randal J. Verbrugge, 2019. "Thinking Outside the Box: Do SPF Respondents Have Anchored Inflation Expectations?," Working Papers 19-15, Federal Reserve Bank of Cleveland.
- Francesco Ravazzolo & Philip Rothman, 2015.
"Oil-Price Density Forecasts of U.S. GDP,"
Working Papers
No 10/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Ravazzolo Francesco & Rothman Philip, 2016. "Oil-price density forecasts of US GDP," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 441-453, September.
- Paloviita, Maritta & Haavio, Markus & Jalasjoki, Pirkka & Kilponen, Juha, 2017. "What does "below, but close to, two percent" mean? Assessing the ECB's reaction function with real time data," Bank of Finland Research Discussion Papers 29/2017, Bank of Finland.
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"Evaluating underlying inflation measures for Russia,"
Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 11(2), pages 124-145, May.
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- Joshua C C Chan & Gary Koop & Simon M Potter, 2012. "A New Model of Trend Inflation," CAMA Working Papers 2012-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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"Adaptive models and heavy tails with an application to inflation forecasting,"
International Journal of Forecasting, Elsevier, vol. 33(2), pages 482-501.
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- Delle Monache, Davide & Petrella, Ivan, 2016. "Adaptive models and heavy tails with an application to inflation forecasting," MPRA Paper 75424, University Library of Munich, Germany.
- Claudiu Tiberiu Albulescu & Aviral Kumar Tiwari & Stephen M. Miller & Rangan Gupta, 2016.
"Time-Frequency Relationship between Inflation and Inflation Uncertainty for the U.S.: Evidence from Historical Data,"
Working papers
2016-12, University of Connecticut, Department of Economics.
- Claudiu T. Albulescu & Aviral Kumar Twari & Stephen M. Miller & Rangan Gupta, 2015. "Time-Frequency Relationship between Inflation and Inflation Uncertainty for the U.S.: Evidence from Historical Data," Working Papers 201591, University of Pretoria, Department of Economics.
- Markku Lanne & Jani Luoto, 2017. "A New Time‐Varying Parameter Autoregressive Model for U.S. Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 969-995, August.
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- Andreza A Palma, 2016. "Natural interest rate in Brazil: further evidence frThe main objective of this study is to estimate the natural interest rate for Brazil using a parsimonious AR-trend-bound model proposed by Chan, Koo," Economics Bulletin, AccessEcon, vol. 36(3), pages 1306-1314.
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"Economic Growth Analysis When Balanced Growth Paths May Be Time Varying,"
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- Mountford, Andrew, 2024. "Economic Growth Analysis When Balanced Growth Paths May Be Time Varying," MPRA Paper 119938, University Library of Munich, Germany.
- Pfarrhofer, Michael, 2022.
"Modeling tail risks of inflation using unobserved component quantile regressions,"
Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
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- Timothy Cogley & Thomas J. Sargent, 2014. "Measuring Price-Level Uncertainty and Instability in the U.S., 1850-2012," Working Papers 2014-33, Economic Research Institute, Bank of Korea.
- Petrella, Ivan & Venditti, Fabrizio & Delle Monache, Davide, 2016. "Adaptive state space models with applications to the business cycle and financial stress," CEPR Discussion Papers 11599, C.E.P.R. Discussion Papers.
- Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
- Behera, Harendra Kumar & Patra, Michael Debabrata, 2022. "Measuring trend inflation in India," Journal of Asian Economics, Elsevier, vol. 80(C).
- Davide Delle Monache & Ivan Petrella, 2014.
"Adaptive Models and Heavy Tails,"
Working Papers
720, Queen Mary University of London, School of Economics and Finance.
- Petrella, Ivan & Delle Monache, Davide, 2016. "Adaptive models and heavy tails," Bank of England working papers 577, Bank of England.
- Davide Delle Monache & Ivan Petrella, 2014. "Adaptive Models and Heavy Tails," Birkbeck Working Papers in Economics and Finance 1409, Birkbeck, Department of Economics, Mathematics & Statistics.
- Davide Delle Monache & Ivan Petrella, 2016. "Adaptive models and heavy tails," Temi di discussione (Economic working papers) 1052, Bank of Italy, Economic Research and International Relations Area.
- Chan, Joshua C.C., 2013.
"Moving average stochastic volatility models with application to inflation forecast,"
Journal of Econometrics, Elsevier, vol. 176(2), pages 162-172.
- Joshua C C Chan, 2012. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," ANU Working Papers in Economics and Econometrics 2012-591, Australian National University, College of Business and Economics, School of Economics.
- Joshua C.C. Chan, 2013. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," CAMA Working Papers 2013-31, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Dany-Knedlik, Geraldine & Holtemöller, Oliver, 2018.
"Inflation dynamics during the Financial Crisis in Europe: cross-sectional identification of long-run inflation expectations,"
VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy
181520, Verein für Socialpolitik / German Economic Association.
- Dany-Knedlik, Geraldine & Holtemöller, Oliver, 2017. "Inflation dynamics during the financial crisis in Europe: Cross-sectional identification of long-run inflation expectations," IWH Discussion Papers 10/2017, Halle Institute for Economic Research (IWH).
- Juan Angel Garcia & Aubrey Poon, 2018. "Trend Inflation and Inflation Compensation," IMF Working Papers 2018/154, International Monetary Fund.
- Claudiu Tiberiu Albulescu & Cornel Oros, 2020.
"Inflation, uncertainty, and labour market conditions in the US,"
Applied Economics, Taylor & Francis Journals, vol. 52(52), pages 5770-5782, November.
- Claudiu Tiberiu Albulescu & Cornel Oros, 2020. "Inflation, uncertainty, and labour market conditions in the US," Post-Print hal-03558119, HAL.
- Claudiu Tiberiu Albulescu & Cornel Oros, 2020. "Inflation, uncertainty and labor market conditions in the US," Working Papers hal-02464147, HAL.
- García, Juan Angel & Poon, Aubrey, 2019.
"Inflation trends in Asia: implications for central banks,"
Working Paper Series
2338, European Central Bank.
- Juan Angel Garcia & Aubrey Poon, 2022. "Inflation trends in Asia: implications for central banks [Are Phillips curves useful for forecasting inflation?]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 671-700.
- Benjamin Wong, 2015.
"Do inflation expectations propagate the inflationary impact of real oil price shocks?: Evidence from the Michigan survey,"
Reserve Bank of New Zealand Discussion Paper Series
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- Benjamin Wong, 2014. "Inflation Expectations and How it Explains the Inflationary Impact of Oil Price Shocks: Evidence from the Michigan Survey," CAMA Working Papers 2014-45, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Benjamin Wong, 2015. "Do Inflation Expectations Propagate the Inflationary Impact of Real Oil Price Shocks?: Evidence from the Michigan Survey," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 47(8), pages 1673-1689, December.
- Arnoud Stevens & Joris Wauters, 2021.
"Is euro area lowflation here to stay? Insights from a time‐varying parameter model with survey data,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 566-586, August.
- Arnoud Stevens & Joris Wauters, 2018. "Is euro area lowflation here to stay ? Insights from a time-varying parameter model with survey data," Working Paper Research 355, National Bank of Belgium.
- Markku Lanne & Jani Luoto, 2016.
"Noncausal Bayesian Vector Autoregression,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1392-1406, November.
- Markku Lanne & Jani Luoto, 2014. "Noncausal Bayesian Vector Autoregression," CREATES Research Papers 2014-07, Department of Economics and Business Economics, Aarhus University.
- Huber, Florian & Onorante, Luca & Pfarrhofer, Michael, 2024.
"Forecasting euro area inflation using a huge panel of survey expectations,"
International Journal of Forecasting, Elsevier, vol. 40(3), pages 1042-1054.
- Florian Huber & Luca Onorante & Michael Pfarrhofer, 2022. "Forecasting euro area inflation using a huge panel of survey expectations," Papers 2207.12225, arXiv.org.
- Mónica Correa-López & Matías Pacce & Kathi Schlepper, 2019. "Exploring trend inFLation dynamics in Euro Area countries," Working Papers 1909, Banco de España.
- Cogley, Timothy & Sargent, Thomas J. & Surico, Paolo, 2015. "Price-level uncertainty and instability in the United Kingdom," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 1-16.
- Nonejad, Nima, 2021. "Predicting equity premium using dynamic model averaging. Does the state–space representation matter?," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
- Claudiu Tiberiu Albulescu & Aviral Kumar Tiwari & Stephen M. Miller & Rangan Gupta, 2019. "Time–frequency relationship between US inflation and inflation uncertainty: evidence from historical data," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(5), pages 673-702, November.
- Sbrana, Giacomo & Silvestrini, Andrea & Venditti, Fabrizio, 2017.
"Short-term inflation forecasting: The M.E.T.A. approach,"
International Journal of Forecasting, Elsevier, vol. 33(4), pages 1065-1081.
- Giacomo Sbrana & Andrea Silvestrini & Fabrizio Venditti, 2015. "Short term inflation forecasting: the M.E.T.A. approach," Temi di discussione (Economic working papers) 1016, Bank of Italy, Economic Research and International Relations Area.
- De Schryder, Selien & Peersman, Gert & Wauters, Joris, 2020.
"Wage indexation and the monetary policy regime,"
Journal of Macroeconomics, Elsevier, vol. 63(C).
- Selien De Schryder & Gert Peersman & Joris Wauters, 2014. "Wage Indexation And The Monetary Policy Regime," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 14/892, Ghent University, Faculty of Economics and Business Administration.
- Selien De Schryder & Gert Peersman & Joris Wauters, 2014. "Wage Indexation and the Monetary Policy Regime," CESifo Working Paper Series 5107, CESifo.
- Jmaes McNeil, 2020.
"Monetary policy and the term structure of Inflation expectations with information frictions,"
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- McNeil, James, 2023. "Monetary policy and the term structure of inflation expectations with information frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
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"Underlying inflation and asymetric risks,"
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- Le Bihan, Hervé & Leiva-Leon, Danilo & Pacce, Matías, 2023. "Underlying inflation and asymmetric risks," Working Paper Series 2848, European Central Bank.
- Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2023. "Shadow-rate VARs," Discussion Papers 14/2023, Deutsche Bundesbank.
- Kamber, Güneş & Wong, Benjamin, 2020.
"Global factors and trend inflation,"
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- Güneş Kamber & Benjamin Wong, 2018. "Global factors and trend inflation," BIS Working Papers 688, Bank for International Settlements.
- Güneş Kamber & Benjamin Wong, 2018. "Global Factors and Trend Inflation," Reserve Bank of New Zealand Discussion Paper Series DP2018/01, Reserve Bank of New Zealand.
- Gunes Kamber & Benjamin Wong, 2019. "Global factors and trend inflation," CAMA Working Papers 2019-62, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Forbes, Kristin & Kirkham, Lewis & Theodoridis, Konstantinos, 2018.
"A Trendy Approach to UK Inflation Dynamics,"
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- Forbes, Kristin & Kirkham, Lewis & Theodoridis, Konstantinos, 2017. "A trendy approach to UK inflation dynamics," Discussion Papers 49, Monetary Policy Committee Unit, Bank of England.
- Kristin Forbes & Lewis Kirkham & Konstantinos Theodoridis, 2021. "A Trendy Approach to UK Inflation Dynamics," Manchester School, University of Manchester, vol. 89(S1), pages 23-75, September.
- Eric Eisenstat & Rodney Strachan, 2014.
"Modelling Inflation Volatility,"
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- Eric Eisenstat & Rodney W. Strachan, 2014. "Modelling Inflation Volatility," CAMA Working Papers 2014-21, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Eric Eisenstat & Rodney W. Strachan, 2016. "Modelling Inflation Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(5), pages 805-820, August.
- Eric Eisenstat & Rodney W. Strachan, 2014. "Modelling Inflation Volatility," CAMA Working Papers 2014-68, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Luis Uzeda, 2018.
"State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models,"
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- Luis Uzeda, 2022. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 25-53, Emerald Group Publishing Limited.
- Luis Uzeda, 2016. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," ANU Working Papers in Economics and Econometrics 2016-632, Australian National University, College of Business and Economics, School of Economics.
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- Alex, Dony, 2021. "Anchoring of inflation expectations in large emerging economies," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
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"NAIRU Estimates for Germany: New Evidence on the Inflation–Unemployment Tradeoff,"
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"Bayesian forecasting in economics and finance: A modern review,"
International Journal of Forecasting, Elsevier, vol. 40(2), pages 811-839.
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- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2022.
"Understanding trend inflation through the lens of the goods and services sectors,"
CAMA Working Papers
2022-28, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2020. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Staff Working Papers 20-45, Bank of Canada.
- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Discussion Paper Series 2301, Institute of Economic Research, Korea University.
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"The Stochastic Volatility in Mean Model With Time-Varying Parameters: An Application to Inflation Modeling,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 17-28, January.
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- Hauber, Philipp & Schumacher, Christian, 2021. "Precision-based sampling with missing observations: A factor model application," Discussion Papers 11/2021, Deutsche Bundesbank.
- Günes Kamber & Benjamin Wong, 2016. "Testing an Interpretation of Core Inflation Measures in New Zealand," Reserve Bank of New Zealand Analytical Notes series AN2016/06, Reserve Bank of New Zealand.
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"R2 bounds for predictive models: what univariate properties tell us about multivariate predictability,"
Birkbeck Working Papers in Economics and Finance
1804, Birkbeck, Department of Economics, Mathematics & Statistics.
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- Joshua C.C. Chan & Rodney W. Strachan, 2023.
"Bayesian State Space Models In Macroeconometrics,"
Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 58-75, February.
- Joshua C.C. Chan & Rodney W. Strachan, 2020. "Bayesian state space models in macroeconometrics," CAMA Working Papers 2020-90, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- 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.
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"High-dimensional conditionally Gaussian state space models with missing data,"
Journal of Econometrics, Elsevier, vol. 236(1).
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- Joshua C.C. Chan & Angelia L. Grant, 2014.
"Fast Computation of the Deviance Information Criterion for Latent Variable Models,"
CAMA Working Papers
2014-09, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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- Joshua C.C. Chan & Todd E. Clark & Gary Koop, 2018.
"A New Model of Inflation, Trend Inflation, and Long‐Run Inflation Expectations,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(1), pages 5-53, February.
- Joshua C. C. Chan & Todd E. Clark & Gary Koop, 2015. "A New Model of Inflation, Trend Inflation, and Long-Run Inflation Expectations," Working Papers (Old Series) 1520, Federal Reserve Bank of Cleveland.
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- Wu, Ping, 2024. "Should I open to forecast? Implications from a multi-country unobserved components model with sparse factor stochastic volatility," International Journal of Forecasting, Elsevier, vol. 40(3), pages 903-917.
- Joshua C C Chan & Gary Koop & Simon M Potter, 2012.
"A Bounded Model of Time Variation in Trend Inflation, NAIRU and the Phillips Curve,"
ANU Working Papers in Economics and Econometrics
2012-590, Australian National University, College of Business and Economics, School of Economics.
- Joshua C. C. Chan & Gary Koop & Simon M. Potter, 2016. "A Bounded Model of Time Variation in Trend Inflation, Nairu and the Phillips Curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 551-565, April.
- Joshua C.C. Chan & Gary Koop & Simon M. Potter, 2014. "A Bounded Model of Time Variation in Trend Inflation, NAIRU and the Phillips Curve," CAMA Working Papers 2014-10, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
Cited by:
- Kabundi, Alain & Poon, Aubrey & Wu, Ping, 2023. "A time-varying Phillips curve with global factors: Are global factors important?," Economic Modelling, Elsevier, vol. 126(C).
- Mallick, Debdulal, 2019.
"Policy regimes and the shape of the Phillips curve in Australia,"
Journal of Policy Modeling, Elsevier, vol. 41(6), pages 1077-1094.
- Mallick, Debdulal, 2016. "Policy Regimes and the Shape of the Phillips Curve in Australia," MPRA Paper 71082, University Library of Munich, Germany, revised 2016.
- Tino Berger & Gerdie Everaert & Hauke Vierke, 2015.
"Testing for time variation in an unobserved components model for the U.S. economy,"
Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium
15/903, Ghent University, Faculty of Economics and Business Administration.
- Berger, Tino & Everaert, Gerdie & Vierke, Hauke, 2016. "Testing for time variation in an unobserved components model for the U.S. economy," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 179-208.
- Knüppel, Malte & Krüger, Fabian, 2017.
"Forecast Uncertainty, Disagreement, and Linear Pools of Density Forecasts,"
VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking
168294, Verein für Socialpolitik / German Economic Association.
- Knüppel, Malte & Krüger, Fabian, 2019. "Forecast uncertainty, disagreement, and the linear pool," Discussion Papers 28/2019, Deutsche Bundesbank.
- Kim, Insu & Yie, Myung-Soo, 2016. "Trend inflation, firms' backward-looking behavior, and inflation gap persistence," Economic Modelling, Elsevier, vol. 58(C), pages 116-125.
- N. Cordemans & J. Wauters, 2018. "Are inflation and economic activity out of sync in the euro area?," Economic Review, National Bank of Belgium, issue i, pages 79-96, June.
- Florian Huber & Daniel Kaufmann, 2015.
"Trend Fundamentals and Exchange Rate Dynamics,"
KOF Working papers
15-393, KOF Swiss Economic Institute, ETH Zurich.
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- Florian Huber & Daniel Kaufmann, 2020. "Trend Fundamentals and Exchange Rate Dynamics," Economica, London School of Economics and Political Science, vol. 87(348), pages 1016-1036, October.
- Florian Huber & Daniel Kaufmann, 2016. "Trend Fundamentals and Exchange Rate Dynamics," Department of Economics Working Papers wuwp214, Vienna University of Economics and Business, Department of Economics.
- Huber, Florian & Kaufmann, Daniel, 2016. "Trend Fundamentals and Exchange Rate Dynamics," Department of Economics Working Paper Series 214, WU Vienna University of Economics and Business.
- Abhishek K. Umrawal & Joshua C. C. Chan, 2021. "On Parameter Estimation in Unobserved Components Models subject to Linear Inequality Constraints," Papers 2110.12149, arXiv.org, revised Feb 2023.
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"A note on the stability of the Swedish Phillips curve,"
Empirical Economics, Springer, vol. 59(6), pages 2573-2612, December.
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"Does the Phillips curve help to forecast euro area inflation?,"
International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
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- Mallick, Debdulal, 2014.
"A Spectral Representation of the Phillips Curve in Australia,"
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59794, University Library of Munich, Germany.
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"Inflation dynamics during the Financial Crisis in Europe: cross-sectional identification of long-run inflation expectations,"
VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy
181520, Verein für Socialpolitik / German Economic Association.
- Dany-Knedlik, Geraldine & Holtemöller, Oliver, 2017. "Inflation dynamics during the financial crisis in Europe: Cross-sectional identification of long-run inflation expectations," IWH Discussion Papers 10/2017, Halle Institute for Economic Research (IWH).
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"Is euro area lowflation here to stay? Insights from a time‐varying parameter model with survey data,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 566-586, August.
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"System Priors for Econometric Time Series,"
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"Global factors and trend inflation,"
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"Specification tests for time-varying parameter models with stochastic volatility,"
CAMA Working Papers
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"Inflation forecasting using the New Keynesian Phillips Curve with a time-varying trend,"
Economic Modelling, Elsevier, vol. 87(C), pages 383-393.
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- Stephen McKnight & Alexander Mihailov & Kerry Patterson & Fabio Rumler, 2014. "The Predictive Performance of Fundamental Inflation Concepts: An Application to the Euro Area and the United States," Economics Discussion Papers em-dp2014-03, Department of Economics, University of Reading.
- Saeed Zaman, 2021. "A Unified Framework to Estimate Macroeconomic Stars," Working Papers 21-23R2, Federal Reserve Bank of Cleveland, revised 31 May 2024.
- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2022.
"Understanding trend inflation through the lens of the goods and services sectors,"
CAMA Working Papers
2022-28, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2020. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Staff Working Papers 20-45, Bank of Canada.
- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding Trend Inflation Through the Lens of the Goods and Services Sectors," Discussion Paper Series 2301, Institute of Economic Research, Korea University.
- Yunjong Eo & Luis Uzeda & Benjamin Wong, 2023. "Understanding trend inflation through the lens of the goods and services sectors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(5), pages 751-766, August.
- Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Working Papers 22-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
- Jinho Choi & Juan Carlos Escanciano & Junjie Guo, 2022. "Generalized band spectrum estimation with an application to the New Keynesian Phillips curve," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 1055-1078, August.
- Philippe Goulet Coulombe & Karin Klieber & Christophe Barrette & Maximilian Goebel, 2024. "Maximally Forward-Looking Core Inflation," Papers 2404.05209, arXiv.org.
- Hauber, Philipp & Schumacher, Christian, 2021. "Precision-based sampling with missing observations: A factor model application," Discussion Papers 11/2021, Deutsche Bundesbank.
- Lenza, Michele & Jarociński, Marek, 2016.
"An inflation-predicting measure of the output gap in the euro area,"
Working Paper Series
1966, European Central Bank.
- Marek Jarociński & Michele Lenza, 2018. "An Inflation‐Predicting Measure of the Output Gap in the Euro Area," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1189-1224, September.
- Jaeho Kim & Sora Chon, 2022. "Bayesian estimation of the long-run trend of the US economy," Empirical Economics, Springer, vol. 62(2), pages 461-485, February.
- Joshua C.C. Chan & Rodney W. Strachan, 2023.
"Bayesian State Space Models In Macroeconometrics,"
Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 58-75, February.
- Joshua C.C. Chan & Rodney W. Strachan, 2020. "Bayesian state space models in macroeconometrics," CAMA Working Papers 2020-90, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Raïsa Basselier & David de Antonio Liedo & Jana Jonckheere & Geert Langenus, 2018. "Can inflation expectations in business or consumer surveys improve inflation forecasts?," Working Paper Research 348, National Bank of Belgium.
- Bowen Fu, Ivan Mendieta-Muñoz, 2023. "Structural shocks and trend inflation," Working Paper Series, Department of Economics, University of Utah 2023_04, University of Utah, Department of Economics.
- Andrle, Michal & Plašil, Miroslav, 2018. "Econometrics with system priors," Economics Letters, Elsevier, vol. 172(C), pages 134-137.
- Jaromir Baxa & Miroslav Plasil & Borek Vasicek, 2013.
"Inflation and the Steeplechase Between Economic Activity Variables,"
Working Papers
2013/15, Czech National Bank.
- Baxa Jaromír & Plašil Miroslav & Vašíček Bořek, 2017. "Inflation and the steeplechase between economic activity variables: evidence for G7 countries," The B.E. Journal of Macroeconomics, De Gruyter, vol. 17(1), pages 1-42, January.
- Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Working Papers 23-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2023.
- Fu, Bowen, 2020. "Is the slope of the Phillips curve time-varying? Evidence from unobserved components models," Economic Modelling, Elsevier, vol. 88(C), pages 320-340.
- Roberto Duncan & Enrique Martínez‐García, 2023. "Forecasting inflation in open economies: What can a NOEM model do?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(3), pages 481-513, April.
- Joshua C.C. Chan & Todd E. Clark & Gary Koop, 2018.
"A New Model of Inflation, Trend Inflation, and Long‐Run Inflation Expectations,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(1), pages 5-53, February.
- Joshua C. C. Chan & Todd E. Clark & Gary Koop, 2015. "A New Model of Inflation, Trend Inflation, and Long-Run Inflation Expectations," Working Papers (Old Series) 1520, Federal Reserve Bank of Cleveland.
- Michael O’Grady, 2019. "Estimating the Output, Inflation and Unemployment Gaps in Ireland using Bayesian Model Averaging," The Economic and Social Review, Economic and Social Studies, vol. 50(1), pages 35-76.
- Philippe Goulet Coulombe, 2022. "A Neural Phillips Curve and a Deep Output Gap," Papers 2202.04146, arXiv.org, revised Oct 2024.
- Chu Shiou-Yen & Shane Christopher, 2017. "Using the hybrid Phillips curve with memory to forecast US inflation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-16, September.
- Malte Knüppel & Fabian Krüger, 2022.
"Forecast uncertainty, disagreement, and the linear pool,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 23-41, January.
- Knüppel, Malte & Krüger, Fabian, 2019. "Forecast uncertainty, disagreement, and the linear pool," Discussion Papers 28/2019, Deutsche Bundesbank.
- Wu, Ping, 2024. "Should I open to forecast? Implications from a multi-country unobserved components model with sparse factor stochastic volatility," International Journal of Forecasting, Elsevier, vol. 40(3), pages 903-917.
- Grant, Angelia L., 2018. "The Great Recession and Okun's law," Economic Modelling, Elsevier, vol. 69(C), pages 291-300.
- Gefang, Deborah & Koop, Gary & Potter, Simon M., 2011.
"Understanding Liquidity and Credit Risks in the Financial Crisis,"
SIRE Discussion Papers
2011-26, Scottish Institute for Research in Economics (SIRE).
- Gefang, Deborah & Koop, Gary & Potter, Simon M., 2011. "Understanding liquidity and credit risks in the financial crisis," Journal of Empirical Finance, Elsevier, vol. 18(5), pages 903-914.
- Deborah Gefang & Gary Koop & Simon M. Potter, 2010. "Understanding Liquidity and Credit Risks in the Financial Crisis," Working Paper series 45_10, Rimini Centre for Economic Analysis.
- Deborah Gefang & Gary Koop & Simon Potter, 2011. "Understanding Liquidity and Credit Risks in the Financial Crisis," Working Papers 1114, University of Strathclyde Business School, Department of Economics.
Cited by:
- Soedarmono, Wahyoe & Machrouh, Fouad & Tarazi, Amine, 2013.
"Bank competition, crisis and risk taking: Evidence from emerging markets in Asia,"
Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 196-221.
- Wahyoe Soedarmono & Fouad Machrouh & Amine Tarazi, 2013. "Bank Competition, Crisis and Risk Taking : Evidence from Emerging Markets in Asia," Post-Print hal-00785653, HAL.
- Wahyoe Soedarmono & Fouad Machrouh & Amine Tarazi, 2012. "Bank Competition, Crisis and Risk-Taking: Evidence from Emerging Markets in Asia," Working Papers hal-00918500, HAL.
- Wahyoe Soedarmono & Fouad Machrouh & Amine Tarazi, 2013. "Bank competition, crisis and risk taking: Evidence from emerging markets in Asia," Post-Print hal-01098720, HAL.
- Mark D. Flood & John C. Liechty & Thomas Piontek, 2015. "Systemwide Commonalities in Market Liquidity," Working Papers 15-11, Office of Financial Research, US Department of the Treasury.
- Thomas B. King & Kurt F. Lewis, 2020.
"Credit Risk, Liquidity, and Lies,"
International Journal of Central Banking, International Journal of Central Banking, vol. 16(5), pages 219-267, October.
- Thomas B. King & Kurt F. Lewis, 2015. "Credit Risk, Liquidity and Lies," Finance and Economics Discussion Series 2015-112, Board of Governors of the Federal Reserve System (U.S.).
- Azusa Takeyama & Naoshi Tsuchida, 2015. "The Interaction between Funding Liquidity and Market Liquidity: Evidence from Subprime and European Crises," IMES Discussion Paper Series 15-E-14, Institute for Monetary and Economic Studies, Bank of Japan.
- Mesias Alfeus & Martino Grasselli & Erik Schlögl, 2017.
"A Consistent Stochastic Model of the Term Structure of Interest Rates for Multiple Tenors,"
Research Paper Series
384, Quantitative Finance Research Centre, University of Technology, Sydney.
- Alfeus, Mesias & Grasselli, Martino & Schlögl, Erik, 2020. "A consistent stochastic model of the term structure of interest rates for multiple tenors," Journal of Economic Dynamics and Control, Elsevier, vol. 114(C).
- Mesias Alfeus & Martino Grasselli & Erik Schlogl, 2018. "A Consistent Stochastic Model of the Term Structure of Interest Rates for Multiple Tenors," Papers 1809.06643, arXiv.org.
- Sheng Huang & Jonathan Williams & Ru Xie, 2017. "The Future of Money: Liquidity co-movement between financial institutions and real estate firms: evidence from China," Working Papers 17004, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
- Tu, Anthony H. & Chen, Cathy Yi-Hsuan, 2018. "A factor-based approach of bond portfolio value-at-risk: The informational roles of macroeconomic and financial stress factors," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 243-268.
- James J. McAndrews & Asani Sarkar & Zhenyu Wang, 2008.
"The effect of the Term Auction Facility on the London inter-bank offered rate,"
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43220, University Library of Munich, Germany.
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"The Dynamics of UK and US Inflation Expectations,"
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2011-47, Scottish Institute for Research in Economics (SIRE).
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- Gefang, Deborah & Koop, Gary & Potter, Simon M., 2012. "The Dynamics of UK and US Inflation Expectation," SIRE Discussion Papers 2012-46, Scottish Institute for Research in Economics (SIRE).
- Deborah Gefang & Gary Koop & Simon M. Potter, 2009. "The Dynamics of UK and US Inflation Expectations," Working Paper series 14_09, Rimini Centre for Economic Analysis.
- Deborah Gefang & Gary Koop & Simon Potter, 2011. "The Dynamics of UK and US Inflation Expectations," Working Papers 1120, University of Strathclyde Business School, Department of Economics.
Cited by:
- Speck, Christian, 2016. "Inflation Anchoring in the Euro Area," VfS Annual Conference 2016 (Augsburg): Demographic Change 145697, Verein für Socialpolitik / German Economic Association.
- Petra Gerlach-Kristen & Richhild Mössner, 2014. "Inflation Expectations, Central Bank Credibility and the Global Financial Crisis," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(II), pages 55-87, June.
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- Speck, Christian, 2017. "Inflation anchoring in the euro area," Working Paper Series 1998, European Central Bank.
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"Forecasting with a noncausal VAR model,"
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"Weather Shocks and Inflation Expectations in Semi-Structural Models,"
Borradores de Economia
1218, Banco de la Republica de Colombia.
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- Strohsal, Till & Winkelmann, Lars, 2015. "Assessing the anchoring of inflation expectations," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 33-48.
- Strohsal, Till & Winkelmann, Lars, 2012. "Assessing the anchoring of inflation expectations," SFB 649 Discussion Papers 2012-022, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
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"Improving survey measures of inflation expectations,"
Speech
49, Federal Reserve Bank of New York.
Cited by:
- Wilbert van der Klaauw & Wandi Bruine de Bruin & Giorgio Topa & Basit Zafar & Olivier Armantier, 2012.
"Inflation Expectations and Behavior: Do Survey Respondents Act on their Beliefs?,"
2012 Meeting Papers
121, Society for Economic Dynamics.
- Olivier Armantier & Wändi Bruine de Bruin & Giorgio Topa & Wilbert van der Klaauw & Basit Zafar, 2015. "Inflation Expectations And Behavior: Do Survey Respondents Act On Their Beliefs?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 505-536, May.
- Olivier Armantier & Wändi Bruine de Bruin & Giorgio Topa & Wilbert Van der Klaauw & Basit Zafar, 2011. "Inflation expectations and behavior: Do survey respondents act on their beliefs?," Staff Reports 509, Federal Reserve Bank of New York.
- Olivier Armantier & Giorgio Topa & Wilbert Van der Klaauw & Basit Zafar, 2011. "Inflation Expectations and Behavior: Do Survey Respondents Act on Their Beliefs?," Liberty Street Economics 20110727, Federal Reserve Bank of New York.
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- Wilbert van der Klaauw & Wandi Bruine de Bruin & Giorgio Topa & Basit Zafar & Olivier Armantier, 2012.
"Inflation Expectations and Behavior: Do Survey Respondents Act on their Beliefs?,"
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121, Society for Economic Dynamics.
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"Technical Appendix to: Understanding Liquidity and Credit Risks in the Financial Crisis,"
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- Casavecchia, Lorenzo & Loudon, Geoffrey F. & Wu, Eliza, 2018. "What moves benchmark money market rates? Evidence from the BBSW market," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 137-154.
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"Some observations and lessons from the crisis,"
Speech
25, Federal Reserve Bank of New York.
Cited by:
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"Early Warning Indicators for Latin America"","
Borradores de Economia
7073, Banco de la Republica.
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- Jaime Tenjo & Martha López, 2010. "Early Warning Indicators for Latin America," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 28(63), pages 232-259, December.
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"Monetary Policy, Doubts and Asset Prices,"
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"Been there done that: the political economy of Déjà Vu,"
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32094, University Library of Munich, Germany.
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"Predictors of bank distress: The 1907 crisis in Sweden,"
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- Fernando Tenjo & Martha López, 2010.
"Early Warning Indicators for Latin America"","
Borradores de Economia
7073, Banco de la Republica.
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"A flexible approach to parametric inference in nonlinear and time varying time series models,"
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"Pitfalls of Estimating the Marginal Likelihood Using the Modified Harmonic Mean,"
CAMA Working Papers
2015-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
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- Claudio Morana, 2013. "The Oil Price-Macroeconomy Relationship Since the Mid-1980s: A Global Perspective," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
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"Asymmetric responses of consumer spending to energy prices: A threshold VAR approach,"
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"Structural Break, Nonlinearity, and Asymmetry: A re-examination of PPP proposition,"
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62335, University Library of Munich, Germany.
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- Markus Jochmann & Gary Koop & Simon M. Potter, 2009.
"Modeling the Dynamics of Inflation Compensation,"
Working Paper series
15_09, Rimini Centre for Economic Analysis.
- Jochmann, Markus & Koop, Gary & Potter, Simon M., 2010. "Modeling the dynamics of inflation compensation," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 157-167, January.
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- Markus Jochmann & Gary Koop & Simon M. Potter, 2009.
"Modeling the Dynamics of Inflation Compensation,"
Working Paper series
15_09, Rimini Centre for Economic Analysis.
- Jochmann, Markus & Koop, Gary & Potter, Simon M., 2010. "Modeling the dynamics of inflation compensation," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 157-167, January.
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"The anchoring of inflation expectations in the short and in the long run,"
SFB 649 Discussion Papers
2016-015, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Nautz, Dieter & Strohsal, Till & Netšunajev, Aleksei, 2019. "The Anchoring Of Inflation Expectations In The Short And In The Long Run," Macroeconomic Dynamics, Cambridge University Press, vol. 23(5), pages 1959-1977, July.
- Nautz, Dieter & Netsunajew, Aleksei & Strohsal, Till, 2017. "The Anchoring of Inflation Expectations in the Short and in the Long Run," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168075, Verein für Socialpolitik / German Economic Association.
- Łyziak, Tomasz & Paloviita, Maritta, 2016.
"Anchoring of inflation expectations in the euro area: recent evidence based on survey data,"
Working Paper Series
1945, European Central Bank.
- Łyziak, Tomasz & Paloviita, Maritta, 2017. "Anchoring of inflation expectations in the euro area: Recent evidence based on survey data," European Journal of Political Economy, Elsevier, vol. 46(C), pages 52-73.
- Carlos Medel, 2018.
"Econometric Analysis on Survey-data-based Anchoring of Inflation Expectations in Chile,"
Working Papers Central Bank of Chile
825, Central Bank of Chile.
- Carlos Medel, 2018. "An econometric analysis on survey-data-based anchoring of inflation expectations in Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 21(2), pages 128-152, August.
- Speck, Christian, 2016. "Inflation Anchoring in the Euro Area," VfS Annual Conference 2016 (Augsburg): Demographic Change 145697, Verein für Socialpolitik / German Economic Association.
- Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2020.
"The anchoring of long-term inflation expectations of consumers: insights from a new survey,"
Working Papers
688, DNB.
- Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2023. "The anchoring of long-term inflation expectations of consumers: insights from a new survey," Oxford Economic Papers, Oxford University Press, vol. 75(1), pages 96-116.
- Gabriele Galati & Richhild Moessner & Maarten van Rooij, 2021. "The anchoring of long-term inflation expectations of consumers: insights from a new survey," BIS Working Papers 936, Bank for International Settlements.
- Netésunajev, Aleksei & Winkelmann, Lars, 2016. "International dynamics of inflation expectations," SFB 649 Discussion Papers 2016-019, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Joshua C.C. Chan & Angelia L. Grant, 2015.
"Pitfalls of Estimating the Marginal Likelihood Using the Modified Harmonic Mean,"
CAMA Working Papers
2015-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Chan, Joshua C.C. & Grant, Angelia L., 2015. "Pitfalls of estimating the marginal likelihood using the modified harmonic mean," Economics Letters, Elsevier, vol. 131(C), pages 29-33.
- Hachula, Michael & Nautz, Dieter, 2017.
"The dynamic impact of macroeconomic news on long-term inflation expectations,"
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2017/12, Free University Berlin, School of Business & Economics.
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- Ciccarelli, Matteo & García, Juan Angel & Montes-Galdón, Carlos, 2017. "Unconventional monetary policy and the anchoring of inflation expectations," Working Paper Series 1995, European Central Bank.
- Buono, Ines & Formai, Sara, 2018. "New evidence on the evolution of the anchoring of inflation expectations," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 39-54.
- Speck, Christian, 2017. "Inflation anchoring in the euro area," Working Paper Series 1998, European Central Bank.
- Michael J. Lamla & Lena Draeger, 2013. "Anchoring of Consumers' Inflation Expectations," KOF Working papers 13-339, KOF Swiss Economic Institute, ETH Zurich.
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"Anchoring Households' Inflation Expectations when Inflation is High,"
Hannover Economic Papers (HEP)
dp-719, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Giang Nghiem & Lena Dräger & Ami Dalloul, 2024. "Anchoring Households’ Inflation Expectations When Inflation Is High," CESifo Working Paper Series 11042, CESifo.
- Dräger, Lena & Dalloul, Ami & Nghiem, Giang, 2024. "Anchoring Household's Inflation Expectations when Inflation is High," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302397, Verein für Socialpolitik / German Economic Association.
- Sascha Möhrle, 2020. "New Evidence on the Anchoring of Inflation Expectations in the Euro Area," ifo Working Paper Series 337, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Strohsal, Till & Winkelmann, Lars, 2015. "Assessing the anchoring of inflation expectations," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 33-48.
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"Expectation Formation and the Phillips Curve Revisited,"
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119478, University Library of Munich, Germany.
- Czudaj, Robert L., 2025. "Expectation formation and the Phillips curve revisited," Macroeconomic Dynamics, Cambridge University Press, vol. 29, pages 1-1, January.
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"Measuring inflation expectations uncertainty using high-frequency data,"
CAMA Working Papers
2017-61, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Joshua C.C. Chan & Yong Song, 2018. "Measuring Inflation Expectations Uncertainty Using High‐Frequency Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(6), pages 1139-1166, September.
- Strohsal, Till & Winkelmann, Lars, 2012. "Assessing the anchoring of inflation expectations," SFB 649 Discussion Papers 2012-022, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- Juan Angel García & Sebastian E. V. Werner, 2021. "Inflation News and Euro-Area Inflation Expectations," International Journal of Central Banking, International Journal of Central Banking, vol. 17(3), pages 1-60, September.
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- Deborah Gefang & Gary Koop & Simon Potter, 2011.
"The Dynamics of UK and US Inflation Expectations,"
Working Papers
1120, University of Strathclyde Business School, Department of Economics.
- Deborah Gefang & Gary Koop & Simon M. Potter, 2009. "The Dynamics of UK and US Inflation Expectations," Working Paper series 14_09, Rimini Centre for Economic Analysis.
- Gefang, Deborah & Koop, Gary & Potter, Simon M., 2011. "The Dynamics of UK and US Inflation Expectations," SIRE Discussion Papers 2011-47, Scottish Institute for Research in Economics (SIRE).
- Gefang, Deborah & Koop, Gary & Potter, Simon M., 2008. "The Dynamics of UK and US Inflation Expectations," SIRE Discussion Papers 2008-59, Scottish Institute for Research in Economics (SIRE).
- Gefang, Deborah & Koop, Gary & Potter, Simon M., 2012. "The Dynamics of UK and US Inflation Expectation," SIRE Discussion Papers 2012-46, Scottish Institute for Research in Economics (SIRE).
- Gefang, Deborah & Koop, Gary & Potter, Simon M., 2012. "The dynamics of UK and US inflation expectations," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3120-3133.
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"The time-varying degree of inflation expectations anchoring,"
Journal of Macroeconomics, Elsevier, vol. 48(C), pages 62-71.
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"Anchoring of Consumers' Inflation Expectations: Evidence from Microdata,"
VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order
79889, Verein für Socialpolitik / German Economic Association.
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"Dynamic hierarchical factor models,"
Staff Reports
412, Federal Reserve Bank of New York.
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"How important is innovation? : A Bayesian factor-augmented productivity model on panel data,"
MERIT Working Papers
2014-052, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
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"Should macroeconomic forecasters use daily financial data and how?,"
University of Cyprus Working Papers in Economics
09-2010, University of Cyprus Department of Economics.
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- 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.
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"An endogenously clustered factor approach to international business cycles,"
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- Banica Logica & Stefan Liviu Cristian & Jurian Mariana, 2014. "Business Intelligence For Educational Purpose," Balkan Region Conference on Engineering and Business Education, Sciendo, vol. 1(1), pages 333-338, August.
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"Macroeconomic Factors and Micro-Level Bank Risk,"
CESifo Working Paper Series
3194, CESifo.
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"On the importance of sectoral and regional shocks for price-setting,"
CEPR Discussion Papers
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"Euro area business cycles in turbulent times: convergence or decoupling?,"
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"Macroeconomic Factors and Microlevel Bank Behavior,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(4), pages 715-751, June.
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"How global is “global inflation”?,"
Journal of Macroeconomics, Elsevier, vol. 58(C), pages 174-197.
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"The dynamics of international capital flows: Results from a dynamic hierarchical factor model,"
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"UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?,"
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- Koop, Gary & Korobilis, Dimitris, 2009. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," SIRE Discussion Papers 2009-40, Scottish Institute for Research in Economics (SIRE).
- Koop, Gary & Korobilis, Dimitris, 2011. "UK macroeconomic forecasting with many predictors: Which models forecast best and when do they do so?," Economic Modelling, Elsevier, vol. 28(5), pages 2307-2318, September.
- Gary Koop & Dimitris Korobilis, 2011. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," Working Papers 1118, University of Strathclyde Business School, Department of Economics.
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"Real time underlying inflation gauges for monetary policymakers,"
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420, Federal Reserve Bank of New York.
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"Relative Goods' Prices, Pure Inflation, and the Phillips Correlation,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 2(3), pages 128-157, July.
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"A new core inflation indicator for New Zealand,"
Reserve Bank of New Zealand Discussion Paper Series
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- Domenico Giannone & Troy D. Matheson, 2007. "A New Core Inflation Indicator for New Zealand," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 145-180, December.
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"Core Inflation and Trend Inflation,"
NBER Working Papers
21282, National Bureau of Economic Research, Inc.
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"Measuring changes in the value of the numeraire,"
Kiel Working Papers
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- Marlene Amstad & Simon M. Potter & Robert W. Rich, 2017. "The New York Fed Staff Underlying Inflation Gauge (UIG)," Economic Policy Review, Federal Reserve Bank of New York, issue 23-2, pages 1-32.
- Theodore M. Crone & N. Neil K. Khettry & Loretta J. Mester & Jason A. Novak, 2008.
"Core measures of inflation as predictors of total inflation,"
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- Theodore M. Crone & N. Neil K. Khettry & Loretta J. Mester & Jason A. Novak, 2013. "Core Measures of Inflation as Predictors of Total Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2-3), pages 505-519, March.
- Theodore M. Crone & N. Neil K. Khettry & Loretta J. Mester & Jason A. Novak, 2013. "Core Measures of Inflation as Predictors of Total Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2‐3), pages 505-519, March.
- Theodore M. Crone & N. Neil K. Khettry & Loretta J. Mester & Jason A. Novak, 2011. "Core measures of inflation as predictors of total inflation," Working Papers 11-24, Federal Reserve Bank of Philadelphia.
- Crone, Theodore M. & Khettry, N. Neil K. & Mester, Loretta J. & Novak, Jason A., 2011. "Cores Measures of Inflation as Predictors of Total Inflation," Working Papers 11-45, University of Pennsylvania, Wharton School, Weiss Center.
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"A Factorial Decomposition Of Inflation In Peru, An Alternative Measure Of Core Inflation,"
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"Developing an underlying inflation gauge for China,"
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- Mikael Khan & Louis Morel & Patrick Sabourin, 2013. "The Common Component of CPI: An Alternative Measure of Underlying Inflation for Canada," Staff Working Papers 13-35, Bank of Canada.
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"Measuring Core Inflation in South Africa,"
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- Marlene Amstad & Simon Potter & Robert Rich, 2014.
"The FRBNY Staff Underlying Inflation Gauge: UIG,"
BIS Working Papers
453, Bank for International Settlements.
- Marlene Amstad & Simon M. Potter & Robert W. Rich, 2014. "The FRBNY staff underlying inflation gauge: UIG," Staff Reports 672, Federal Reserve Bank of New York.
- Bjarni G. Einarsson, 2014. "A Dynamic Factor Model for Icelandic Core Inflation," Economics wp67, Department of Economics, Central bank of Iceland.
- The People's Bank of China, 2016. "An underlying inflation gauge (UIG) for China," BIS Papers chapters, in: Bank for International Settlements (ed.), Inflation mechanisms, expectations and monetary policy, volume 89, pages 117-121, Bank for International Settlements.
- Wändi Bruine de Bruin & Michael F. Bryan & Simon M. Potter & Giorgio Topa & Wilbert Van der Klaauw, 2008.
"Rethinking the measurement of household inflation expectations: preliminary findings,"
Staff Reports
359, Federal Reserve Bank of New York.
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- Aidala, Felix & Armantier, Olivier & Koşar, Gizem & Somerville, Jason & Topa, Giorgio & van der Klaauw, Wilbert, 2024. "Gasoline price changes and consumer inflation expectations: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 66-80.
- Olkhov, Victor, 2018. "Expectations, Price Fluctuations and Lorenz Attractor," MPRA Paper 89105, University Library of Munich, Germany.
- Olkhov, Victor, 2019. "New Essentials of Economic Theory," MPRA Paper 95065, University Library of Munich, Germany.
- Stefano Eusepi & Giorgio Topa & Andrea Tambalotti & Richard Crump, 2016.
"Subjective Intertemporal Substitution,"
2016 Meeting Papers
83, Society for Economic Dynamics.
- Crump, Richard K. & Eusepi, Stefano & Tambalotti, Andrea & Topa, Giorgio, 2022. "Subjective intertemporal substitution," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 118-133.
- Richard K. Crump & Stefano Eusepi & Andrea Tambalotti & Giorgio Topa, 2015. "Subjective Intertemporal Substitution," Staff Reports 734, Federal Reserve Bank of New York.
- Maxime Phillot & Dr. Rina Rosenblatt-Wisch, 2018. "Inflation Expectations: The Effect of Question Ordering on Forecast Inconsistencies," Working Papers 2018-11, Swiss National Bank.
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"Inflation dynamics during the Financial Crisis in Europe: cross-sectional identification of long-run inflation expectations,"
VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy
181520, Verein für Socialpolitik / German Economic Association.
- Dany-Knedlik, Geraldine & Holtemöller, Oliver, 2017. "Inflation dynamics during the financial crisis in Europe: Cross-sectional identification of long-run inflation expectations," IWH Discussion Papers 10/2017, Halle Institute for Economic Research (IWH).
- Wändi Bruine de Bruin & Simon M. Potter & Robert W. Rich & Giorgio Topa & Wilbert Van der Klaauw, 2010. "Improving survey measures of household inflation expectations," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 16(Aug/Sep).
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"Measuring the level and uncertainty of trend inflation,"
Finance and Economics Discussion Series
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- Elmar Mertens, 2016. "Measuring the Level and Uncertainty of Trend Inflation," The Review of Economics and Statistics, MIT Press, vol. 98(5), pages 950-967, December.
- Gizem Koşar & Wilbert Van der Klaauw, 2023.
"Workers’ Perceptions of Earnings Growth and Employment Risk,"
Staff Reports
1056, Federal Reserve Bank of New York.
- Koşar, Gizem & van der Klaauw, Wilbert, 2023. "Workers' Perceptions of Earnings Growth and Employment Risk," IZA Discussion Papers 16013, Institute of Labor Economics (IZA).
- Gizem Kosar & Wilbert van der Klaauw, 2023. "Workers’ Perceptions of Earnings Growth and Employment Risk," CESifo Working Paper Series 10300, CESifo.
- Gizem Koşar & Wilbert van der Klaauw, 2023. "Workers' Perceptions of Earnings Growth and Employment Risk," Working Paper series 23-05, Rimini Centre for Economic Analysis.
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"Inflation perceptions and expectations in Sweden - are media reports the 'missing link'?,"
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- Lena Dräger, 2011. "Inflation Perceptions and Expectations in Sweden - Are Media Reports the `Missing Link'?," Macroeconomics and Finance Series 201101, University of Hamburg, Department of Socioeconomics.
- Binder, Carola C., 2017. "Measuring uncertainty based on rounding: New method and application to inflation expectations," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 1-12.
- Olkhov, Victor, 2019. "New essentials of economic theory II. Economic transactions, expectations and asset pricing," MPRA Paper 93428, University Library of Munich, Germany.
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"What Do Consumers Believe About Future Gasoline Prices?,"
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16974, National Bureau of Economic Research, Inc.
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- Lena Dräger & Jan-Oliver Menz & Ulrich Fritsche, 2011.
"Perceived Inflation under Loss Aversion,"
Macroeconomics and Finance Series
201105, University of Hamburg, Department of Socioeconomics.
- Lena Dr䧥r & Jan-Oliver Menz & Ulrich Fritsche, 2014. "Perceived inflation under loss aversion," Applied Economics, Taylor & Francis Journals, vol. 46(3), pages 282-293, January.
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"A new approach to assess inflation expectations anchoring using strategic surveys,"
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- Easaw, Joshy & Golinelli, Roberto & Malgarini, Marco, 2013. "What determines households inflation expectations? Theory and evidence from a household survey," European Economic Review, Elsevier, vol. 61(C), pages 1-13.
- Lena Vogel & Jan-Oliver Menz & Ulrich Fritsche, 2009. "Prospect Theory and Inflation Perceptions - An Empirical Assessment," Macroeconomics and Finance Series 200903, University of Hamburg, Department of Socioeconomics.
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"The (de-)anchoring of inflation expectations: New evidence from the euro area,"
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- Olkhov, Victor, 2019. "Methods of Economic Theory: Variables, Transactions and Expectations as Functions of Risks," MPRA Paper 95628, University Library of Munich, Germany.
- Victor Olkhov, 2019. "Financial Variables, Market Transactions, and Expectations as Functions of Risk," IJFS, MDPI, vol. 7(4), pages 1-27, November.
- Gabriela Galati & Steven Poelhekke & Chen Zhou, 2011. "Did the Crisis Affect Inflation Expectations?," International Journal of Central Banking, International Journal of Central Banking, vol. 7(1), pages 167-207, March.
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"Is there still an added-worker effect?,"
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- Doepke, Matthias & Tertilt, Michèle, 2016. "Families in Macroeconomics," IZA Discussion Papers 9802, Institute of Labor Economics (IZA).
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"Changing Business Cycles: The Role of Women's Employment,"
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6608, Department of Economics, University of Pittsburgh.
- Albanesi, Stefania, 2019. "Changing Business Cycles: The Role of Women's Employment," CEPR Discussion Papers 13578, C.E.P.R. Discussion Papers.
- Stefania Albanesi, 2019. "Changing Business Cycles: The Role of Women's Employment," Working Papers 2019-021, Human Capital and Economic Opportunity Working Group.
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"Declining Desire to Work and Downward Trends in Unemployment and Participation,"
NBER Chapters, in: NBER Macroeconomics Annual 2015, Volume 30, pages 449-494,
National Bureau of Economic Research, Inc.
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- Regis Barnichon & Andrew Figura, 2015. "Declining Desire to Work and Downward Trends in Unemployment and Participation," NBER Working Papers 21252, National Bureau of Economic Research, Inc.
- Gunseli Berik & Ebru Kongar, 2011. "Time Use of Mothers and Fathers in Hard Times and Better Times: The US Business Cycle of 2003-10," Economics Working Paper Archive wp_696, Levy Economics Institute.
- Günseli Berik & Ebru Kongar, 2011. "Time Use of Mothers and Fathers in Hard Times and Better Times: the U.S. Business Cycle of 2003-2010," Working Paper Series, Department of Economics, University of Utah 2011_16, University of Utah, Department of Economics.
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"Gender and the Business Cycle: A Stocks and Flows Analysis of US and UK Labour Market States,"
Economics Discussion Papers
em-dp2014-10, Department of Economics, University of Reading.
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"Labour force participation and job polarization: Evidence from Europe during the Great Recession,"
Labour Economics, Elsevier, vol. 66(C).
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- Gregory Verdugo & Guillaume Allegre, 2017. "Labour force participation and job polarization : evidence from Europe during the great recession," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03458737, HAL.
- Gregory Verdugo & Guillaume Allegre, 2017. "Labour force participation and job polarization : evidence from Europe during the great recession," SciencePo Working papers Main hal-03458737, HAL.
- Verdugo, Gregory & Allègre, Guillaume, 2020. "Labour Force Participation and Job Polarization: Evidence from Europe during the Great Recession," IZA Discussion Papers 13425, Institute of Labor Economics (IZA).
- Inés Hardoy & Pål Schøne, 2014. "Displacement and household adaptation: insured by the spouse or the state?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(3), pages 683-703, July.
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"Intra-Household Risk Sharing and Job Search over the Business Cycle,"
Discussion Papers of DIW Berlin
1760, DIW Berlin, German Institute for Economic Research.
- Haomin Wang, 2019. "Intra-Household Risk Sharing and Job Search over the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 165-182, October.
- Haomin Wang, 2018.
"Online Appendix to "Intra-Household Risk Sharing and Job Search over the Business Cycle","
Online Appendices
18-240, Review of Economic Dynamics.
- Haomin Wang, 2019. "Intra-Household Risk Sharing and Job Search over the Business Cycle," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 34, pages 165-182, October.
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- Sisi Zhang, 2014. "Wage shocks, household labor supply, and income instability," Journal of Population Economics, Springer;European Society for Population Economics, vol. 27(3), pages 767-796, July.
- Shwetlena Sabarwal & Nistha Sinha & Mayra Buvinic, 2011. "How Do Women Weather Economic Shocks? What We Know," World Bank Publications - Reports 10113, The World Bank Group.
- Stefania Albanesi & Maria Jose Prados, 2022. "Slowing Women’s Labor Force Participation: The Role of Income Inequality," Working Papers 2022-037, Human Capital and Economic Opportunity Working Group.
- Sabarwal, Shwetlena & Sinha, Nistha & Buvinic, Mayra, 2010. "How do women weather economic shocks ? a review of the evidence," Policy Research Working Paper Series 5496, The World Bank.
- Gary Koop & Simon M. Potter & Rodney W. Strachan, 2005.
"Reexamining the consumption-wealth relationship: the role of model uncertainty,"
Staff Reports
202, Federal Reserve Bank of New York.
- Gary Koop & Simon M. Potter & Rodney W. Strachan, 2008. "Re-Examining the Consumption-Wealth Relationship: The Role of Model Uncertainty," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2-3), pages 341-367, March.
- Gary Koop & Simon M. Potter & Rodney W. Strachan, 2008. "Re‐Examining the Consumption–Wealth Relationship: The Role of Model Uncertainty," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(2‐3), pages 341-367, March.
- Gary Koop & Simon M. Potter & Rodney W. Strachan, 2005. "Re-examining the Consumption-Wealth Relationship: The Role of Model Uncertainty," Discussion Papers in Economics 05/3, Division of Economics, School of Business, University of Leicester.
Cited by:
- Markus Jochmann & Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2009.
"Stochastic Search Variable Selection in Vector Error Correction Models with an Application to a Model of the UK Macroeconomy,"
Working Paper series
44_09, Rimini Centre for Economic Analysis.
- Markus Jochmann & Gary Koop & Roberto Leon‐Gonzalez & Rodney W. Strachan, 2013. "Stochastic search variable selection in vector error correction models with an application to a model of the UK macroeconomy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(1), pages 62-81, January.
- Markus Jochmann & Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2009. "Stochastic Search Variable Selection in Vector Error Correction Models with an Application to a Model of the UK Macroeconomy," Working Papers 0919, University of Strathclyde Business School, Department of Economics.
- Jochmann, Markus & Koop, Gary & Leon-Gonzalez & Strachan, Rodney W., 2009. "Stochastic Search Variable Selection in Vector Error Correction Models with an Application to a Model of the UK Macroeconomy," SIRE Discussion Papers 2009-44, Scottish Institute for Research in Economics (SIRE).
- Chen, Jie, 2006. "Housing Wealth and Aggregate Consumption in Sweden," Working Paper Series 2006:16, Uppsala University, Department of Economics.
- Jochmann, Markus & Koop, Gary, 2011.
"Regime-Switching Cointegration,"
SIRE Discussion Papers
2011-60, Scottish Institute for Research in Economics (SIRE).
- Markus Jochmann & Gary Koop, 2011. "Regime-Switching Cointegration," Working Paper series 40_11, Rimini Centre for Economic Analysis.
- Markus Jochmann & Gary Koop, 2011. "Regime-Switching Cointegration," Working Papers 1125, University of Strathclyde Business School, Department of Economics.
- Jochmann Markus & Koop Gary, 2015. "Regime-switching cointegration," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(1), pages 35-48, February.
- Jochmann, Markus & Koop, Gary, 2011. "Regime-Switching Cointegration," SIRE Discussion Papers 2011-36, Scottish Institute for Research in Economics (SIRE).
- Todd E. Clark & Michael W. McCracken, 2010.
"Averaging forecasts from VARs with uncertain instabilities,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29.
- Todd E. Clark & Michael W. McCracken, 2007. "Averaging forecasts from VARs with uncertain instabilities," Finance and Economics Discussion Series 2007-42, Board of Governors of the Federal Reserve System (U.S.).
- Todd E. Clark & Michael W. McCracken, 2008. "Averaging forecasts from VARs with uncertain instabilities," Working Papers 2008-030, Federal Reserve Bank of St. Louis.
- Todd E. Clark & Michael W. McCracken, 2010. "Averaging forecasts from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29, January.
- Todd E. Clark & Michael W. McCracken, 2006. "Averaging forecasts from VARs with uncertain instabilities," Research Working Paper RWP 06-12, Federal Reserve Bank of Kansas City.
- Olivier Allain, 2011.
"The impact of income distribution on consumption: a reassessment,"
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers)
hal-00712657, HAL.
- Olivier Allain, 2011. "The impact of income distribution on consumption: a reassessment," Post-Print hal-00712657, HAL.
- Chen, Jie, 2006. "Re-evaluating the association between housing wealth and aggregate consumption: New evidence from Sweden," Journal of Housing Economics, Elsevier, vol. 15(4), pages 321-348, December.
- Iscan, Talan B., 2011.
"Productivity growth and the U.S. saving rate,"
Economic Modelling, Elsevier, vol. 28(1-2), pages 501-514, January.
- İşcan, Talan B., 2011. "Productivity growth and the U.S. saving rate," Economic Modelling, Elsevier, vol. 28(1), pages 501-514.
- Frank Schmid, 2013. "Wealth Effects on Consumption in Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(I), pages 87-110, March.
- Yang, Zan & Wang, S.T., 2012. "Permanent and transitory shocks in owner-occupied housing: A common trend model of price dynamics," Journal of Housing Economics, Elsevier, vol. 21(4), pages 336-346.
- Boysen-Hogrefe, Jens & Dovern, Jonas & Gern, Klaus-Jürgen & Jannsen, Nils & Van Roye, Björn & Sander, Birgit & Scheide, Joachim & Boss, Alfred & Meier, Carsten-Patrick, 2008. "Weltkonjunktur und deutsche Konjunktur im Winter 2008," Kiel Discussion Papers 459/460, Kiel Institute for the World Economy (IfW Kiel).
- 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.
- Maltritz, Dominik & Molchanov, Alexander, 2014. "Country credit risk determinants with model uncertainty," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 224-234.
- Márquez, Elena & Martínez-Cañete, Ana R. & Pérez-Soba, Inés, 2013. "Wealth shocks, credit conditions and asymmetric consumption response: Empirical evidence for the UK," Economic Modelling, Elsevier, vol. 33(C), pages 357-366.
- Justyna Wróblewska, 2009. "Bayesian Model Selection in the Analysis of Cointegration," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 1(1), pages 57-69, March.
- Maltritz, Dominik, 2012. "Determinants of sovereign yield spreads in the Eurozone: A Bayesian approach," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 657-672.
- Maltritz, Dominik & Molchanov, Alexander, 2013. "Analyzing determinants of bond yield spreads with Bayesian Model Averaging," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5275-5284.
- Ren, Yu & Yuan, Yufei & Zhang, Yang, 2014. "Human capital, household capital and asset returns," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 11-22.
- Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.
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"A Nonlinear Model of the Business Cycle,"
Econometric Society 2004 North American Winter Meetings
490, Econometric Society.
- Potter Simon M., 2000. "A Nonlinear Model of the Business Cycle," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(2), pages 1-11, July.
Cited by:
- Gupta, Rangan & Wohar, Mark, 2017.
"Forecasting oil and stock returns with a Qual VAR using over 150years off data,"
Energy Economics, Elsevier, vol. 62(C), pages 181-186.
- Rangan Gupta & Mark E. Wohar, 2015. "Forecasting Oil and Stock Returns with a Qual VAR using over 150 Years of Data," Working Papers 201589, University of Pretoria, Department of Economics.
- Ryo Horii & Yoshiyasu Ono, 2006. "Learning, Inflation Cycles, and Depression," Discussion Papers in Economics and Business 06-14, Osaka University, Graduate School of Economics.
- Ryo Horii & Yoshiyasu Ono, 2022.
"Financial crisis and slow recovery with Bayesian learning agents,"
International Journal of Economic Theory, The International Society for Economic Theory, vol. 18(4), pages 578-606, December.
- Ryo Horii & Yoshiyasu Ono, 2020. "Financial Crisis and Slow Recovery with Bayesian Learning Agents," ISER Discussion Paper 1085, Institute of Social and Economic Research, Osaka University.
- Marcelle, Chauvet & Simon, Potter, 2007. "Monitoring Business Cycles with Structural Breaks," MPRA Paper 15097, University Library of Munich, Germany, revised 31 Apr 2009.
- Ryo Horii & Yoshiyasu Ono, 2004. "Learning, Liquidity Preference, and Business Cycle," ISER Discussion Paper 0601, Institute of Social and Economic Research, Osaka University.
- Horii, Ryo & Ono, Yoshiyasu, 2009. "Information Cycles and Depression in a Stochastic Money-in-Utility Model," MPRA Paper 13485, University Library of Munich, Germany.
- Ryo Horii & Yoshiyasu Ono, 2005. "Financial Crisis and Recovery: Learning-based Liquidity Preference Fluctuations," Macroeconomics 0504016, University Library of Munich, Germany.
- Gary Koop & Simon M. Potter, 2004.
"Prior elicitation in multiple change-point models,"
Staff Reports
197, Federal Reserve Bank of New York.
- Gary Koop & Simon M. Potter, 2009. "Prior Elicitation In Multiple Change-Point Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 751-772, August.
- Gary Koop & Simon M. Potter, 2007. "Prior Elicitation in Multiple Change-point Models," Working Paper series 17_07, Rimini Centre for Economic Analysis.
- Gary Koop & Simon M. Potter, 2004. "Prior Elicitation in Multiple Change-point Models," Discussion Papers in Economics 04/26, Division of Economics, School of Business, University of Leicester.
Cited by:
- Pesaran, M.H. & Pettenuzzo, D. & Timmermann, A., 2006.
"Learning, Structural Instability and Present Value Calculations,"
Cambridge Working Papers in Economics
0602, Faculty of Economics, University of Cambridge.
- M. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006. "Learning, Structural Instability and Present Value Calculations," CESifo Working Paper Series 1650, CESifo.
- Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2007. "Learning, Structural Instability, and Present Value Calculations," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 253-288.
- Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006. "Learning, Structural Instability and Present Value Calculations," IEPR Working Papers 06.42, Institute of Economic Policy Research (IEPR).
- M. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006. "Learning, structural instability and present value calculations," Computing in Economics and Finance 2006 529, Society for Computational Economics.
- Pesaran, Mohammad Hashem & Pettenuzzo, Davide & Timmermann, Allan, 2006. "Learning, structural instability and present value calculations," Discussion Paper Series 1: Economic Studies 2006,27, Deutsche Bundesbank.
- Kul B Luintel & Khan Mosahid & Leon-Gonzalez Roberto & Li Guangjie, 2016.
"Financial Development, Structure and Growth : New Data, Method and Results,"
GRIPS Discussion Papers
15-27, National Graduate Institute for Policy Studies.
- Luintel, Kul B. & Khan, Mosahid & Leon-Gonzalez, Roberto & Li, Guangjie, 2016. "Financial development, structure and growth: New data, method and results," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 95-112.
- Luintel, Kul B & Khan, Mosahid & Leon-Gonzalez, Roberto & Li, GuangJie, 2016. "Financial Development, Structure and Growth: New Data, Method and Results," Cardiff Economics Working Papers E2016/2, Cardiff University, Cardiff Business School, Economics Section.
- Giordani, Paolo & Villani, Mattias, 2009.
"Forecasting Macroeconomic Time Series With Locally Adaptive Signal Extraction,"
Working Paper Series
234, Sveriges Riksbank (Central Bank of Sweden).
- Giordani, Paolo & Villani, Mattias, 2010. "Forecasting macroeconomic time series with locally adaptive signal extraction," International Journal of Forecasting, Elsevier, vol. 26(2), pages 312-325, April.
- Daniel Felix Ahelegbey & Monica Billio & Roberto Casarin, 2020.
"Modeling Turning Points In Global Equity Market,"
DEM Working Papers Series
195, University of Pavia, Department of Economics and Management.
- Ahelegbey, Daniel Felix & Billio, Monica & Casarin, Roberto, 2024. "Modeling Turning Points in the Global Equity Market," Econometrics and Statistics, Elsevier, vol. 30(C), pages 60-75.
- Jochmann, Markus & Koop, Gary & Strachan, Rodney W., 2010.
"Bayesian forecasting using stochastic search variable selection in a VAR subject to breaks,"
International Journal of Forecasting, Elsevier, vol. 26(2), pages 326-347, April.
- Markus Jochmann & Gary Koop & Rodney W. Strachan, 2008. "Bayesian Forecasting using Stochastic Search Variable Selection in a VAR Subject to Breaks," Working Paper series 19_08, Rimini Centre for Economic Analysis.
- Gary Koop & Simon M. Potter, 2004.
"Forecasting and estimating multiple change-point models with an unknown number of change points,"
Staff Reports
196, Federal Reserve Bank of New York.
- Gary M. Koop & Simon M. Potter, 2004. "Forecasting and Estimating Multiple Change-point Models with an Unknown Number of Change-points," Discussion Papers in Economics 04/31, Division of Economics, School of Business, University of Leicester.
- Giordani, Paolo & Kohn, Robert, 2008.
"Efficient Bayesian Inference for Multiple Change-Point and Mixture Innovation Models,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 66-77, January.
- Giordani, Paolo & Kohn, Robert, 2006. "Efficient Bayesian Inference for Multiple Change-Point and Mixture Innovation Models," Working Paper Series 196, Sveriges Riksbank (Central Bank of Sweden).
- Kobi Abayomi, 2024. "How & Why To Use Audience Segmentation to Maximize (Listener) Demand Across Digital Music Portfolio," Papers 2406.09226, arXiv.org.
- Geweke, John F. & Horowitz, Joel L. & Pesaran, M. Hashem, 2006.
"Econometrics: A Bird's Eye View,"
IZA Discussion Papers
2458, Institute of Labor Economics (IZA).
- John Geweke & Joel Horowitz & M. Hashem Pesaran, 2006. "Econometrics: A Bird’s Eye View," CESifo Working Paper Series 1870, CESifo.
- Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
- Ruggieri, Eric & Antonellis, Marcus, 2016. "An exact approach to Bayesian sequential change point detection," Computational Statistics & Data Analysis, Elsevier, vol. 97(C), pages 71-86.
- Mehmet Balcilar & Riza Demirer & Festus V. Bekun, 2021. "Flexible Time-Varying Betas in a Novel Mixture Innovation Factor Model with Latent Threshold," Mathematics, MDPI, vol. 9(8), pages 1-20, April.
- Wang, Zijin & Chen, Peimin & Liu, Peng & Wu, Chunchi, 2024. "Volatility forecasts by clustering: Applications for VaR estimation," International Review of Economics & Finance, Elsevier, vol. 94(C).
- Venkata Jandhyala & Stergios Fotopoulos & Ian MacNeill & Pengyu Liu, 2013. "Inference for single and multiple change-points in time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(4), pages 423-446, July.
- Lu Shaochuan, 2023. "Scalable Bayesian Multiple Changepoint Detection via Auxiliary Uniformisation," International Statistical Review, International Statistical Institute, vol. 91(1), pages 88-113, April.
- Chun Liu & John M. Maheu, 2008.
"Are There Structural Breaks in Realized Volatility?,"
Journal of Financial Econometrics, Oxford University Press, vol. 6(3), pages 326-360, Summer.
- Chun Liu & John M Maheu, 2007. "Are there Structural Breaks in Realized Volatility?," Working Papers tecipa-304, University of Toronto, Department of Economics.
- Hinoveanu, Laurentiu C. & Leisen, Fabrizio & Villa, Cristiano, 2019. "Bayesian loss-based approach to change point analysis," Computational Statistics & Data Analysis, Elsevier, vol. 129(C), pages 61-78.
- Petros Dellaportas & David G. T. Denison & Chris Holmes, 2007. "Flexible Threshold Models for Modelling Interest Rate Volatility," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 419-437.
- Guangjie Li, 2015. "A stochastic frontier model with structural breaks in efficiency and technology," Empirical Economics, Springer, vol. 49(1), pages 131-159, August.
- Gary Koop & Simon M. Potter, 2004.
"Forecasting and estimating multiple change-point models with an unknown number of change points,"
Staff Reports
196, Federal Reserve Bank of New York.
- Gary M. Koop & Simon M. Potter, 2004. "Forecasting and Estimating Multiple Change-point Models with an Unknown Number of Change-points," Discussion Papers in Economics 04/31, Division of Economics, School of Business, University of Leicester.
Cited by:
- Pesaran, M.H. & Pettenuzzo, D. & Timmermann, A., 2006.
"Learning, Structural Instability and Present Value Calculations,"
Cambridge Working Papers in Economics
0602, Faculty of Economics, University of Cambridge.
- M. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006. "Learning, Structural Instability and Present Value Calculations," CESifo Working Paper Series 1650, CESifo.
- Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2007. "Learning, Structural Instability, and Present Value Calculations," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 253-288.
- Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006. "Learning, Structural Instability and Present Value Calculations," IEPR Working Papers 06.42, Institute of Economic Policy Research (IEPR).
- M. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006. "Learning, structural instability and present value calculations," Computing in Economics and Finance 2006 529, Society for Computational Economics.
- Pesaran, Mohammad Hashem & Pettenuzzo, Davide & Timmermann, Allan, 2006. "Learning, structural instability and present value calculations," Discussion Paper Series 1: Economic Studies 2006,27, Deutsche Bundesbank.
- Gary Koop & Simon M. Potter, 2009.
"Prior Elicitation In Multiple Change-Point Models,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 50(3), pages 751-772, August.
- Gary Koop & Simon M. Potter, 2007. "Prior Elicitation in Multiple Change-point Models," Working Paper series 17_07, Rimini Centre for Economic Analysis.
- Gary Koop & Simon M. Potter, 2004. "Prior Elicitation in Multiple Change-point Models," Discussion Papers in Economics 04/26, Division of Economics, School of Business, University of Leicester.
- Gary Koop & Simon M. Potter, 2004. "Prior elicitation in multiple change-point models," Staff Reports 197, Federal Reserve Bank of New York.
- Todd E. Clark & Michael W. McCracken, 2010.
"Averaging forecasts from VARs with uncertain instabilities,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29.
- Todd E. Clark & Michael W. McCracken, 2007. "Averaging forecasts from VARs with uncertain instabilities," Finance and Economics Discussion Series 2007-42, Board of Governors of the Federal Reserve System (U.S.).
- Todd E. Clark & Michael W. McCracken, 2008. "Averaging forecasts from VARs with uncertain instabilities," Working Papers 2008-030, Federal Reserve Bank of St. Louis.
- Todd E. Clark & Michael W. McCracken, 2010. "Averaging forecasts from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29, January.
- Todd E. Clark & Michael W. McCracken, 2006. "Averaging forecasts from VARs with uncertain instabilities," Research Working Paper RWP 06-12, Federal Reserve Bank of Kansas City.
- Giordani, Paolo & Kohn, Robert, 2008.
"Efficient Bayesian Inference for Multiple Change-Point and Mixture Innovation Models,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 66-77, January.
- Giordani, Paolo & Kohn, Robert, 2006. "Efficient Bayesian Inference for Multiple Change-Point and Mixture Innovation Models," Working Paper Series 196, Sveriges Riksbank (Central Bank of Sweden).
- Vosseler, Alexander, 2016. "Bayesian model selection for unit root testing with multiple structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 616-630.
- Geweke, John F. & Horowitz, Joel L. & Pesaran, M. Hashem, 2006.
"Econometrics: A Bird's Eye View,"
IZA Discussion Papers
2458, Institute of Labor Economics (IZA).
- John Geweke & Joel Horowitz & M. Hashem Pesaran, 2006. "Econometrics: A Bird’s Eye View," CESifo Working Paper Series 1870, CESifo.
- Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
- Petros Dellaportas & David G. T. Denison & Chris Holmes, 2007. "Flexible Threshold Models for Modelling Interest Rate Volatility," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 419-437.
- Ravazzolo, F. & van Dijk, D.J.C. & Paap, R. & Franses, Ph.H.B.F., 2006. "Bayesian Model Averaging in the Presence of Structural Breaks," Econometric Institute Research Papers EI 2006-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Jaehee Kim & Sooyoung Cheon, 2010. "Bayesian multiple change-point estimation with annealing stochastic approximation Monte Carlo," Computational Statistics, Springer, vol. 25(2), pages 215-239, June.
- Gary Koop & Simon M. Potter, 2003.
"Forecasting in large macroeconomic panels using Bayesian Model Averaging,"
Staff Reports
163, Federal Reserve Bank of New York.
- Gary Koop & Simon Potter, 2003. "Forecasting in Large Macroeconomic Panels using Bayesian Model Averaging," Discussion Papers in Economics 04/16, Division of Economics, School of Business, University of Leicester.
Cited by:
- Maurin, Laurent & Drechsel, Katja, 2008.
"Flow of conjunctural information and forecast of euro area economic activity,"
Working Paper Series
925, European Central Bank.
- Katja Drechsel & Laurent Maurin, 2011. "Flow of conjunctural information and forecast of euro area economic activity," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(3), pages 336-354, April.
- Luis F. Melo Velandia & Rubén A. Loaiza Maya & Mauricio Villamizar-Villegas, 2014.
"Bayesian Combination for Inflation Forecasts: The Effects of a Prior Based on Central Banks’ Estimates,"
Borradores de Economia
853, Banco de la Republica de Colombia.
- Luis F. Melo Velandia & Rubén A. Loaiza Maya & Mauricio Villamizar-Villegas, 2014. "Bayesian Combination for Inflation Forecasts: The Effects of a Prior Based on Central Banks’ Estimates," Borradores de Economia 12323, Banco de la Republica.
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- Essahbi Essaadi & Mohamed Boutahar, 2008. "A Measure of Variability in Comovement for Economic Variables : a Time-Varying Coherence Function Approach," Working Papers halshs-00333582, HAL.
- Chauvet, Marcelle & Potter, Simon, 2013. "Forecasting Output," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194, Elsevier.
- Chauvet, Marcelle, 2002. "The Brazilian Business and Growth Cycles," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 56(1), January.
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- Andrew Hughes Hallett & Christian Richter, 2009. "Economics in the Backyard: How Much Convergence is there between China and her Special Regions?," The World Economy, Wiley Blackwell, vol. 32(6), pages 819-861, June.
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"Detection of the Industrial Business Cycle using SETAR Models,"
Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 353-371.
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Economies et Sociétés (Serie 'Histoire Economique Quantitative'), Association Française de Cliométrie (AFC), issue 34, pages 193-214, February.
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"Smooth transition autoregressive models - A survey of recent developments,"
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- Martin D. D. Evans, 2002. "FX Trading and Exchange Rate Dynamics," Journal of Finance, American Finance Association, vol. 57(6), pages 2405-2447, December.
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"Short-term Volatility versus Long-term Growth: Evidence in US Macroeconomic Time Series,"
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Discussion paper series
HIAS-E-64, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
- Kanazawa, Nobuyuki, 2020. "Radial basis functions neural networks for nonlinear time series analysis and time-varying effects of supply shocks," Journal of Macroeconomics, Elsevier, vol. 64(C).
- Knut Are Aastveit & Jamie L. Cross & Francesco Furlanetto & Herman K. Van Dijk, 2024.
"Taylor Rules with Endogenous Regimes,"
Working Papers
No 04/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Knut Are Aastveit & Jamie Cross & Francesco Furlanetto & Herman K. Van Dijk, 2024. "Taylor Rules with Endogenous Regimes," Tinbergen Institute Discussion Papers 24-030/III, Tinbergen Institute.
- Kirsten Thompson & Renee Van Eyden & Rangan Gupta, 2015. "Identifying an index of financial conditions for South Africa," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 32(2), pages 256-274, June.
- Gao, Shen & Hou, Chenghan & Nguyen, Bao H., 2021. "Forecasting natural gas prices using highly flexible time-varying parameter models," Economic Modelling, Elsevier, vol. 105(C).
- Eo, Yunjong & Kim, Chang-Jin, 2012.
"Markov-Switching Models with Evolving Regime-Specific Parameters: Are Post-War Booms or Recessions All Alike?,"
Working Papers
2012-04, University of Sydney, School of Economics.
- Yunjong Eo & Chang-Jin Kim, 2016. "Markov-Switching Models with Evolving Regime-Specific Parameters: Are Postwar Booms or Recessions All Alike?," The Review of Economics and Statistics, MIT Press, vol. 98(5), pages 940-949, December.
- Chatzitzisi, Evanthia & Fountas, Stilianos & Panagiotidis, Theodore, 2021.
"Another look at calendar anomalies,"
The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 823-840.
- Evanthia Chatzitzisi & Stilianos Fountas & Theodore Panagiotidis, 2019. "Another Look at Calendar Anomalies," Discussion Paper Series 2019_02, Department of Economics, University of Macedonia, revised Feb 2019.
- Evanthia Chatzitzisi & Stilianos Fountas & Theodore Panagiotidis, 2019. "Another Look at Calendar Anomalies," Working Paper series 19-07, Rimini Centre for Economic Analysis.
- Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2009. "On the evolution of the monetary policy transmission mechanism," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 997-1017, April.
- Chen, Cathy W.S. & Chan, Jennifer S.K. & So, Mike K.P. & Lee, Kevin K.M., 2011. "Classification in segmented regression problems," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2276-2287, July.
- Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2008. "On the Evolution of Monetary Policy," Working Paper series 24_08, Rimini Centre for Economic Analysis.
- Dellas, Harris & Gibson, Heather D. & Hall, Stephen G. & Tavlas, George S., 2018. "The macroeconomic and fiscal implications of inflation forecast errors," Journal of Economic Dynamics and Control, Elsevier, vol. 93(C), pages 203-217.
- Niko Hauzenberger, 2020. "Flexible Mixture Priors for Large Time-varying Parameter Models," Papers 2006.10088, arXiv.org, revised Nov 2020.
- Kaufmann, Sylvia, 2015. "K-state switching models with time-varying transition distributions—Does loan growth signal stronger effects of variables on inflation?," Journal of Econometrics, Elsevier, vol. 187(1), pages 82-94.
- 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.
- Hou, Chenghan, 2017. "Infinite hidden markov switching VARs with application to macroeconomic forecast," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1025-1043.
- Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2020.
"Bayesian Modelling of TVP-VARs Using Regression Trees,"
Working Papers
2308, University of Strathclyde Business School, Department of Economics, revised Aug 2023.
- Niko Hauzenberger & Florian Huber & Gary Koop & James Mitchell, 2022. "Bayesian Modeling of TVP-VARs Using Regression Trees," Papers 2209.11970, arXiv.org, revised May 2023.
- Dufays, Arnaud & Rombouts, Jeroen V.K., 2020. "Relevant parameter changes in structural break models," Journal of Econometrics, Elsevier, vol. 217(1), pages 46-78.
- Alexandra Bozhechkova & Urmat Dzhunkeev, 2024. "CLARA and CARLSON: Combination of Ensemble and Neural Network Machine Learning Methods for GDP Forecasting," Russian Journal of Money and Finance, Bank of Russia, vol. 83(3), pages 45-69, September.
- Chelley-Steeley, Patricia & Lambertides, Neophytos & Savva, Christos S., 2013. "Illiquidity shocks and the comovement between stocks: New evidence using smooth transition," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 1-15.
- Hubrich, Kirstin & González, Andrés & Teräsvirta, Timo, 2011.
"Forecasting inflation with gradual regime shifts and exogenous information,"
Working Paper Series
1363, European Central Bank.
- Andrés González & Kirstin Hubrich & Timo Teräsvirta, 2009. "Forecasting inflation with gradual regime shifts and exogenous information," CREATES Research Papers 2009-03, Department of Economics and Business Economics, Aarhus University.
- Raffaella Giacomini & Barbara Rossi, 2013. "Forecasting in macroeconomics," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 17, pages 381-408, Edward Elgar Publishing.
- Smith, Simon & Timmermann, Allan & Wright, Jonathan, 2023.
"Breaks in the Phillips Curve: Evidence from Panel Data,"
CEPR Discussion Papers
18033, C.E.P.R. Discussion Papers.
- Jonathan H. Wright, 2023. "Breaks in the Phillips Curve: Evidence from Panel Data," Finance and Economics Discussion Series 2023-015, Board of Governors of the Federal Reserve System (U.S.).
- Simon Smith & Allan Timmermann & Jonathan H. Wright, 2023. "Breaks in the Phillips Curve: Evidence from Panel Data," NBER Working Papers 31153, National Bureau of Economic Research, Inc.
- Bognanni, Mark & Zito, John, 2020. "Sequential Bayesian inference for vector autoregressions with stochastic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
- Chan, Joshua C.C., 2013.
"Moving average stochastic volatility models with application to inflation forecast,"
Journal of Econometrics, Elsevier, vol. 176(2), pages 162-172.
- Joshua C C Chan, 2012. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," ANU Working Papers in Economics and Econometrics 2012-591, Australian National University, College of Business and Economics, School of Economics.
- Joshua C.C. Chan, 2013. "Moving Average Stochastic Volatility Models with Application to Inflation Forecast," CAMA Working Papers 2013-31, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Alessandra Canepa, & Karanasos, Menelaos & Paraskevopoulos, Athanasios & Chini, Emilio Zanetti, 2022. "Forecasting Ination: A GARCH-in-Mean-Level Model with Time Varying Predictability," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202212, University of Turin.
- Kapetanios, G. & Tzavalis, E., 2010. "Modeling structural breaks in economic relationships using large shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 34(3), pages 417-436, March.
- Jochmann, Markus & Koop, Gary & Strachan, Rodney W., 2010.
"Bayesian forecasting using stochastic search variable selection in a VAR subject to breaks,"
International Journal of Forecasting, Elsevier, vol. 26(2), pages 326-347, April.
- Markus Jochmann & Gary Koop & Rodney W. Strachan, 2008. "Bayesian Forecasting using Stochastic Search Variable Selection in a VAR Subject to Breaks," Working Paper series 19_08, Rimini Centre for Economic Analysis.
- He, Zhongfang, 2009. "Forecasting output growth by the yield curve: the role of structural breaks," MPRA Paper 28208, University Library of Munich, Germany.
- Pesaran, M. Hashem & Pick, Andreas & Pranovich, Mikhail, 2013. "Optimal forecasts in the presence of structural breaks," Journal of Econometrics, Elsevier, vol. 177(2), pages 134-152.
- Chan, Joshua & Koop, Gary & Potter, Simon, 2012.
"A new model of trend inflation,"
MPRA Paper
39496, University Library of Munich, Germany.
- Chan, Joshua & Koop, Gary & Potter, Simon, 2012. "A New Model Of Trend Inflation," SIRE Discussion Papers 2012-12, Scottish Institute for Research in Economics (SIRE).
- Joshua C C Chan & Gary Koop & Simon M Potter, 2012. "A New Model of Trend Inflation," CAMA Working Papers 2012-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Joshua Chan & Gary Koop & Simon Potter, 2012. "A New Model of Trend Inflation," Working Papers 1202, University of Strathclyde Business School, Department of Economics.
- Joshua C. C. Chan & Gary Koop & Simon M. Potter, 2013. "A New Model of Trend Inflation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 94-106, January.
- Eklund, J. & Kapetanios, G. & Price, S., 2011.
"Forecasting in the presence of recent structural change,"
Working Papers
11/05, Department of Economics, City University London.
- Jana Eklund & George Kapetanios & Simon Price, 2011. "Forecasting in the presence of recent structural change," CAMA Working Papers 2011-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Eklund, Jana & Kapetanios, George & Price, Simon, 2010. "Forecasting in the presence of recent structural change," Bank of England working papers 406, Bank of England.
- Luis A. Gil-Alana & Rangan Gupta & Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2015.
"Time Series Analysis of Persistence in Crude Oil Price Volatility across Bull and Bear Regimes,"
Working Papers
201580, University of Pretoria, Department of Economics.
- Gil-Alana, Luis A. & Gupta, Rangan & Olubusoye, Olusanya E. & Yaya, OlaOluwa S., 2016. "Time series analysis of persistence in crude oil price volatility across bull and bear regimes," Energy, Elsevier, vol. 109(C), pages 29-37.
- Polemis, Michael & Stengos, Thanasis, 2017.
"Does Competition Prevent Industrial Pollution? Evidence from a Panel Threshold Model,"
MPRA Paper
85177, University Library of Munich, Germany.
- Michael L. Polemis & Thanasis Stengos, 2017. "Does Competition Prevent Industrial Pollution? Evidence from a Panel Threshold Model," Working Paper series 17-07, Rimini Centre for Economic Analysis.
- Michael L. Polemis & Thanasis Stengos, 2019. "Does competition prevent industrial pollution? Evidence from a panel threshold model," Business Strategy and the Environment, Wiley Blackwell, vol. 28(1), pages 98-110, January.
- KOROBILIS, Dimitris, 2011.
"VAR forecasting using Bayesian variable selection,"
LIDAM Discussion Papers CORE
2011022, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Dimitris Korobilis, 2010. "VAR Forecasting Using Bayesian Variable Selection," Working Paper series 51_10, Rimini Centre for Economic Analysis, revised Apr 2011.
- Dimitris Korobilis, 2013. "Var Forecasting Using Bayesian Variable Selection," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(2), pages 204-230, March.
- Korobilis, Dimitris, 2009. "VAR forecasting using Bayesian variable selection," MPRA Paper 21124, University Library of Munich, Germany.
- 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.
- 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.
- 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.
- Franz Ruch & Mehmet Balcilar Author-Name-First Mehmet & Mampho P. Modise & Rangan Gupta, 2015.
"Forecasting Core Inflation: The Case of South Africa,"
Working Papers
15-08, Eastern Mediterranean University, Department of Economics.
- Franz Ruch & Mehmet Balcilar & Rangan Gupta & Mampho P. Modise, 2020. "Forecasting core inflation: the case of South Africa," Applied Economics, Taylor & Francis Journals, vol. 52(28), pages 3004-3022, June.
- Franz Ruch & Mehmet Balcilar & Mampho P. Modise & Rangan Gupta, 2015. "Forecasting Core Inflation: The Case of South Africa," Working Papers 201543, University of Pretoria, Department of Economics.
- Mónica Correa-López & Matías Pacce & Kathi Schlepper, 2019. "Exploring trend inFLation dynamics in Euro Area countries," Working Papers 1909, Banco de España.
- Ardia, David & Dufays, Arnaud & Ordás Criado, Carlos, 2023.
"Linking Frequentist and Bayesian Change-Point Methods,"
MPRA Paper
119486, University Library of Munich, Germany.
- David Ardia & Arnaud Dufays & Carlos Ordás Criado, 2024. "Linking Frequentist and Bayesian Change-Point Methods," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(4), pages 1155-1168, October.
- Sjoerd van den Hauwe & Richard Paap & Dick J.C. van Dijk, 2011. "An Alternative Bayesian Approach to Structural Breaks in Time Series Models," Tinbergen Institute Discussion Papers 11-023/4, Tinbergen Institute.
- John M. Maheu & Yong Song, 2012.
"A New Structural Break Model with Application to Canadian Inflation Forecasting,"
Working Paper series
27_12, Rimini Centre for Economic Analysis.
- Maheu, John & Song, Yong, 2012. "A new structural break model with application to Canadian inflation forecasting," MPRA Paper 36870, University Library of Munich, Germany.
- Maheu, John M. & Song, Yong, 2014. "A new structural break model, with an application to Canadian inflation forecasting," International Journal of Forecasting, Elsevier, vol. 30(1), pages 144-160.
- John M Maheu & Yong Song, 2012. "A New Structural Break Model with Application to Canadian Inflation Forecasting," Working Papers tecipa-448, University of Toronto, Department of Economics.
- Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019. "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, vol. 212(1), pages 323-344.
- Jesús Mur & Fernando López & Ana Angulo, 2009. "Testing the hypothesis of stability in spatial econometric models," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 409-444, June.
- Mehmet Balcilar & Zeynel Abidin Ozdemir, 2018. "The volatility effect on precious metals prices in a stochastic volatility in mean model with time-varying parameters," Working Papers 15-34, Eastern Mediterranean University, Department of Economics.
- Liu, Yuelin & Morley, James, 2014.
"Structural evolution of the postwar U.S. economy,"
Journal of Economic Dynamics and Control, Elsevier, vol. 42(C), pages 50-68.
- Yuelin Liu & James Morley, 2013. "Structural Evolution of the Postwar U.S. Economy," Discussion Papers 2013-15A, School of Economics, The University of New South Wales.
- Juergen Amann & Paul Middleditch, 2017.
"Growth in a time of austerity: evidence from the UK,"
Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(4), pages 349-375, September.
- Jurgen Amann & Paul Middleditch, 2015. "Growth in a Time of Austerity: Evidence From the UK," Centre for Growth and Business Cycle Research Discussion Paper Series 204, Economics, The University of Manchester.
- Hauzenberger, Niko, 2021. "Flexible Mixture Priors for Large Time-varying Parameter Models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 87-108.
- Gary Koop & Dimitris Korompilis, 2009.
"UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?,"
Working Papers
0917, University of Strathclyde Business School, Department of Economics.
- Koop, Gary & Korobilis, Dimitris, 2011. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," SIRE Discussion Papers 2011-39, Scottish Institute for Research in Economics (SIRE).
- Koop, Gary & Korobilis, Dimitris, 2009. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," SIRE Discussion Papers 2009-40, Scottish Institute for Research in Economics (SIRE).
- Koop, Gary & Korobilis, Dimitris, 2011. "UK macroeconomic forecasting with many predictors: Which models forecast best and when do they do so?," Economic Modelling, Elsevier, vol. 28(5), pages 2307-2318, September.
- Gary Koop & Dimitris Korobilis, 2011. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," Working Papers 1118, University of Strathclyde Business School, Department of Economics.
- Eric Eisenstat & Rodney Strachan, 2014.
"Modelling Inflation Volatility,"
Working Paper series
43_14, Rimini Centre for Economic Analysis.
- Eric Eisenstat & Rodney W. Strachan, 2014. "Modelling Inflation Volatility," CAMA Working Papers 2014-21, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Eric Eisenstat & Rodney W. Strachan, 2016. "Modelling Inflation Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(5), pages 805-820, August.
- Eric Eisenstat & Rodney W. Strachan, 2014. "Modelling Inflation Volatility," CAMA Working Papers 2014-68, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- 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.
- Ruggieri, Eric & Antonellis, Marcus, 2016. "An exact approach to Bayesian sequential change point detection," Computational Statistics & Data Analysis, Elsevier, vol. 97(C), pages 71-86.
- John M. Maheu & Thomas H. McCurdy, 2007.
"How useful are historical data for forecasting the long-run equity return distribution?,"
Working Paper series
19_07, Rimini Centre for Economic Analysis.
- Maheu, John M. & McCurdy, Thomas H., 2009. "How Useful are Historical Data for Forecasting the Long-Run Equity Return Distribution?," Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 95-112.
- John M Maheu & Thomas H McCurdy, 2007. "How useful are historical data for forecasting the long-run equity return distribution?," Working Papers tecipa-293, University of Toronto, Department of Economics.
- Mark Bognanni & John Zito, 2019. "Sequential Bayesian Inference for Vector Autoregressions with Stochastic Volatility," Working Papers 19-29, Federal Reserve Bank of Cleveland.
- Gao, Shen & Hou, Chenghan & Nguyen, Bao H., 2020. "Forecasting natural gas prices using highly flexible time-varying parameter models," Working Papers 2020-01, University of Tasmania, Tasmanian School of Business and Economics.
- Hauzenberger, Niko & Huber, Florian & Klieber, Karin, 2023.
"Real-time inflation forecasting using non-linear dimension reduction techniques,"
International Journal of Forecasting, Elsevier, vol. 39(2), pages 901-921.
- Niko Hauzenberger & Florian Huber & Karin Klieber, 2020. "Real-time Inflation Forecasting Using Non-linear Dimension Reduction Techniques," Papers 2012.08155, arXiv.org, revised Dec 2021.
- Hultblad Brigitta & Karlsson Sune, 2008.
"Bayesian Simultaneous Determination of Structural Breaks and Lag Lengths,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-29, September.
- Hultblad, Brigitta & Karlsson, Sune, 2006. "Bayesian simultaneous determination of structural breaks and lag lengths," SSE/EFI Working Paper Series in Economics and Finance 630, Stockholm School of Economics.
- Giuseppe Pagano Giorgianni & Valeria Patella, 2024. "Belief distortions and Disagreement about Inflation," Working Paper series 24-08, Rimini Centre for Economic Analysis.
- BAUWENS, Luc & DE BACKER, Bruno & DUFAYS, Arnaud, 2014.
"A Bayesian method of change-point estimation with recurrent regimes: application to GARCH models,"
LIDAM Reprints CORE
2641, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Bauwens, Luc & De Backer, Bruno & Dufays, Arnaud, 2014. "A Bayesian method of change-point estimation with recurrent regimes: Application to GARCH models," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 207-229.
- Chauvet, Marcelle & Potter, Simon, 2010. "Business cycle monitoring with structural changes," International Journal of Forecasting, Elsevier, vol. 26(4), pages 777-793, October.
- Mboya, Mwasi & Sibbertsen, Philipp, 2022.
"Optimal Forecasts in the Presence of Discrete Structural Breaks under Long Memory,"
Hannover Economic Papers (HEP)
dp-705, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
- Mwasi Paza Mboya & Philipp Sibbertsen, 2023. "Optimal forecasts in the presence of discrete structural breaks under long memory," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1889-1908, November.
- 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.
- 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.
- Jiawen Xu & Pierre Perron, 2023. "Forecasting in the presence of in-sample and out-of-sample breaks," Empirical Economics, Springer, vol. 64(6), pages 3001-3035, June.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2015.
"Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section,"
Working Papers
550, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2017. "Macroeconomic Factors Strike Back: A Bayesian Change-Point Model of Time-Varying Risk Exposures and Premia in the U.S. Cross-Section," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 110-129, January.
- Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Macroeconomic factors strike back: A Bayesian change-point model of time-varying risk exposures and premia in the U.S. cross-section," Working Paper 2013/19, Norges Bank.
- Emi Nakamura & Jón Steinsson & Robert Barro & José Ursúa, 2013.
"Crises and Recoveries in an Empirical Model of Consumption Disasters,"
American Economic Journal: Macroeconomics, American Economic Association, vol. 5(3), pages 35-74, July.
- Jose Ursua & Jon Steinsson & Emi Nakamura & Robert Barro, 2008. "Crises and Recoveries in an Empirical Model of Consumption Disasters," 2008 Meeting Papers 1089, Society for Economic Dynamics.
- Emi Nakamura & Jón Steinsson & Robert Barro & José Ursúa, 2010. "Crises and Recoveries in an Empirical Model of Consumption Disasters," NBER Working Papers 15920, National Bureau of Economic Research, Inc.
- Alisa Yusupova & Nicos G. Pavlidis & Efthymios G. Pavlidis, 2019. "Adaptive Dynamic Model Averaging with an Application to House Price Forecasting," Papers 1912.04661, arXiv.org.
- Ozdemir, Dicle, 2019. "Sectoral Business Cycle Asymmetries and Regime Shifts: Evidence from Turkey," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 26(2), December.
- Mehmet Balcilar & Riza Demirer & Festus V. Bekun, 2021. "Flexible Time-Varying Betas in a Novel Mixture Innovation Factor Model with Latent Threshold," Mathematics, MDPI, vol. 9(8), pages 1-20, April.
- Luoto, Jani, 2011. "Aggregate infrastructure capital stock and long-run growth: Evidence from Finnish data," Journal of Development Economics, Elsevier, vol. 94(2), pages 181-191, March.
- Alessandra Canepa, & Menelaos G. Karanasos & Alexandros G. Paraskevopoulos,, 2019. "Second Order Time Dependent Inflation Persistence in the United States: a GARCH-in-Mean Model with Time Varying Coefficients," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201911, University of Turin.
- Mehmet Balcilar & Zeynel Abidin Ozdemir, 2017. "The nexus between the oil price and its volatility in a stochastic volatility in mean model with time-varying parameters," Working Papers 15-33, Eastern Mediterranean University, Department of Economics.
- Barbara Rossi, 2019.
"Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them,"
Economics Working Papers
1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
- Rossi, Barbara, 2020. "Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them," CEPR Discussion Papers 14472, C.E.P.R. Discussion Papers.
- Barbara Rossi, 2019. "Forecasting in the Presence of Instabilities: How Do We Know Whether Models Predict Well and How to Improve Them," Working Papers 1162, Barcelona School of Economics.
- Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2021.
"Using time-varying volatility for identification in Vector Autoregressions: An application to endogenous uncertainty,"
Journal of Econometrics, Elsevier, vol. 225(1), pages 47-73.
- Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2021. "Using Time-Varying Volatility for Identification in Vector Autoregressions: An Application to Endogenous Uncertainty," CEPR Discussion Papers 16346, C.E.P.R. Discussion Papers.
- Marcelle, Chauvet & Simon, Potter, 2007. "Monitoring Business Cycles with Structural Breaks," MPRA Paper 15097, University Library of Munich, Germany, revised 31 Apr 2009.
- Chao Du & Chu-Lan Michael Kao & S. C. Kou, 2016. "Stepwise Signal Extraction via Marginal Likelihood," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(513), pages 314-330, March.
- Jiang, Yu & Song, Zhe & Kusiak, Andrew, 2013. "Very short-term wind speed forecasting with Bayesian structural break model," Renewable Energy, Elsevier, vol. 50(C), pages 637-647.
- He, Zhongfang & Maheu, John M., 2010.
"Real time detection of structural breaks in GARCH models,"
Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2628-2640, November.
- Zhongfang He & John M Maheu, 2008. "Real Time Detection of Structural Breaks in GARCH Models," Working Papers tecipa-336, University of Toronto, Department of Economics.
- Zhongfang He & John M. Maheu, 2009. "Real Time Detection of Structural Breaks in GARCH Models," Working Paper series 11_09, Rimini Centre for Economic Analysis.
- Zhongfang He & John M. Maheu, 2009. "Real Time Detection of Structural Breaks in GARCH Models," Staff Working Papers 09-31, Bank of Canada.
- Kim, Jaeho, 2015. "Bayesian Inference in a Non-linear/Non-Gaussian Switching State Space Model: Regime-dependent Leverage Effect in the U.S. Stock Market," MPRA Paper 67153, University Library of Munich, Germany.
- Jaeho Kim & Sora Chon, 2022. "Bayesian estimation of the long-run trend of the US economy," Empirical Economics, Springer, vol. 62(2), pages 461-485, February.
- Yoosoon Chang & Steven N. Durlauf & Bo Hu & Joon Y. Park, 2024. "Accounting for Individual-Specific Heterogeneity in Intergenerational Income Mobility," Working Papers No 03/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Smith, Simon C., 2022. "Time-variation, multiple testing, and the factor zoo," International Review of Financial Analysis, Elsevier, vol. 84(C).
- Sylvia Kaufmann, 2011. "K-state switching models with endogenous transition distributions," Working Papers 2011-13, Swiss National Bank.
- Gary Koop & Simon Potter, 2010.
"A flexible approach to parametric inference in nonlinear and time varying time series models,"
Post-Print
hal-00732535, HAL.
- Koop, Gary & Potter, Simon, 2010. "A flexible approach to parametric inference in nonlinear and time varying time series models," Journal of Econometrics, Elsevier, vol. 159(1), pages 134-150, November.
- Chiara Perricone, 2013.
"Clustering Macroeconomic Variables,"
CEIS Research Paper
283, Tor Vergata University, CEIS, revised 11 Jun 2013.
- Perricone, Chiara, 2018. "Clustering macroeconomic variables," Structural Change and Economic Dynamics, Elsevier, vol. 44(C), pages 23-33.
- DESCHAMPS, Philippe J., 2016. "Bayesian Semiparametric Forecasts of Real Interest Rate Data," LIDAM Discussion Papers CORE 2016050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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- Goodness C. Aye & Stephen M. Miller & Rangan Gupta & Mehmet Balcilar, 2016. "Forecasting US real private residential fixed investment using a large number of predictors," Empirical Economics, Springer, vol. 51(4), pages 1557-1580, December.
- Gary Koop, 2011.
"Forecasting with Medium and Large Bayesian VARs,"
Working Papers
1117, University of Strathclyde Business School, Department of Economics.
- Gary Koop, 2010. "Forecasting with Medium and Large Bayesian VARs," Working Paper series 43_10, Rimini Centre for Economic Analysis.
- Gary M. Koop, 2013. "Forecasting with Medium and Large Bayesian VARS," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(2), pages 177-203, March.
- Koop, Gary, 2011. "Forecasting with Medium and Large Bayesian VARs," SIRE Discussion Papers 2011-38, Scottish Institute for Research in Economics (SIRE).
- T. Ando & R. S. Tsay, 2009.
"‘Model selection for generalized linear models with factor‐augmented predictors’,"
Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(3), pages 243-246, May.
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- Dimitris Korobilis, 2008.
"Forecasting in vector autoregressions with many predictors,"
Advances in Econometrics, in: Bayesian Econometrics, pages 403-431,
Emerald Group Publishing Limited.
- Korobilis, Dimitris, 2008. "Forecasting in vector autoregressions with many predictors," MPRA Paper 21122, University Library of Munich, Germany.
- Hilde C. Bjørnland & Karsten Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2012.
"Does Forecast Combination Improve Norges Bank Inflation Forecasts?,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 163-179, April.
- Hilde C. Bjørnland & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud & Christie Smith, 2010. "Does forecast combination improve Norges Bank inflation forecasts?," Working Papers No 2/2010, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Hilde C. Bjørnland & Karsten Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2009. "Does forecast combination improve Norges Bank inflation forecasts?," Working Paper 2009/01, Norges Bank.
- Gary Koop & Dimitris Korobilis, 2012.
"Forecasting Inflation Using Dynamic Model Averaging,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 867-886, August.
- Koop, Gary & Korobilis, Dimitris, 2011. "Forecasting Inflation Using Dynamic Model Averaging," SIRE Discussion Papers 2011-40, Scottish Institute for Research in Economics (SIRE).
- Koop, Gary & Korobilis, Dimitris, 2010. "Forecasting Inflation Using Dynamic Model Averaging," SIRE Discussion Papers 2010-113, Scottish Institute for Research in Economics (SIRE).
- Gary Koop & Dimitris Korobilis, 2011. "Forecasting Inflation Using Dynamic Model Averaging," Working Papers 1119, University of Strathclyde Business School, Department of Economics.
- Gary Koop & Dimitris Korobilis, 2009. "Forecasting Inflation Using Dynamic Model Averaging," Working Paper series 34_09, Rimini Centre for Economic Analysis.
- Abe, Ryosuke & Kato, Hironori, 2017. "What led to the establishment of a rail-oriented city? Determinants of urban rail supply in Tokyo, Japan, 1950–2010," Transport Policy, Elsevier, vol. 58(C), pages 72-79.
- Michael K. Andersson & Sune Karlsson, 2008.
"Bayesian forecast combination for VAR models,"
Advances in Econometrics, in: Bayesian Econometrics, pages 501-524,
Emerald Group Publishing Limited.
- Andersson, Michael K & Karlsson, Sune, 2007. "Bayesian Forecast Combination for VAR Models," Working Papers 2007:13, Örebro University, School of Business.
- Andersson, Michael K & Karlsson, Sune, 2007. "Bayesian forecast combination for VAR models," Working Paper Series 216, Sveriges Riksbank (Central Bank of Sweden).
- Poghosyan, K. & Magnus, J.R., 2011.
"WALS estimation and forecasting in factor-based dynamic models with an application to Armenia,"
Other publications TiSEM
419d588e-7827-4cdd-b989-4, Tilburg University, School of Economics and Management.
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- Poghosyan, K. & Magnus, J.R., 2011. "WALS estimation and forecasting in factor-based dynamic models with an application to Armenia," Discussion Paper 2011-054, Tilburg University, Center for Economic Research.
- Kim, Hyun Hak & Swanson, Norman R., 2018. "Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods," International Journal of Forecasting, Elsevier, vol. 34(2), pages 339-354.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016.
"Bayesian Compressed Vector Autoregressions,"
Working Papers
103, Brandeis University, Department of Economics and International Business School.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 103R, Brandeis University, Department of Economics and International Business School, revised Apr 2016.
- Koop, Gary & Korobilis, Dimitris & Pettenuzzo, Davide, 2019. "Bayesian compressed vector autoregressions," Journal of Econometrics, Elsevier, vol. 210(1), pages 135-154.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016. "Bayesian Compressed Vector Autoregressions," Working Papers 2016_09, Business School - Economics, University of Glasgow.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2017. "Bayesian Compressed Vector Autoregressions," Working Paper series 17-32, Rimini Centre for Economic Analysis.
- Jana Eklund & Sune Karlsson, 2007.
"Forecast Combination and Model Averaging Using Predictive Measures,"
Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 329-363.
- Eklund, Jana & Karlsson, Sune, 2005. "Forecast Combination and Model Averaging Using Predictive Measures," CEPR Discussion Papers 5268, C.E.P.R. Discussion Papers.
- Eklund, Jana & Karlsson, Sune, 2005. "Forecast Combination and Model Averaging using Predictive Measures," Working Paper Series 191, Sveriges Riksbank (Central Bank of Sweden).
- A. Girardi & R. Golinelli & C. Pappalardo, 2014.
"The Role of Indicator Selection in Nowcasting Euro Area GDP in Pseudo Real Time,"
Working Papers
wp919, Dipartimento Scienze Economiche, Universita' di Bologna.
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"Averaging forecasts from VARs with uncertain instabilities,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29.
- Todd E. Clark & Michael W. McCracken, 2007. "Averaging forecasts from VARs with uncertain instabilities," Finance and Economics Discussion Series 2007-42, Board of Governors of the Federal Reserve System (U.S.).
- Todd E. Clark & Michael W. McCracken, 2008. "Averaging forecasts from VARs with uncertain instabilities," Working Papers 2008-030, Federal Reserve Bank of St. Louis.
- Todd E. Clark & Michael W. McCracken, 2010. "Averaging forecasts from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29, January.
- Todd E. Clark & Michael W. McCracken, 2006. "Averaging forecasts from VARs with uncertain instabilities," Research Working Paper RWP 06-12, Federal Reserve Bank of Kansas City.
- Siliverstovs Boriss & Kholodilin Konstantin A., 2012.
"Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland,"
Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(4), pages 429-444, August.
- Boriss Siliverstovs & Konstantin A. Kholodilin, 2010. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP: Evidence for Switzerland," Discussion Papers of DIW Berlin 970, DIW Berlin, German Institute for Economic Research.
- Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
- Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
- Koop, Gary & Korobilis, Dimitris, 2010.
"Bayesian Multivariate Time Series Methods for Empirical Macroeconomics,"
Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
- Koop, Gary & Korobilis, Dimitris, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," MPRA Paper 20125, University Library of Munich, Germany.
- Gary Koop & Dimitris Korobilis, 2009. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Working Paper series 47_09, Rimini Centre for Economic Analysis.
- Cristina Fuentes-Albero & Leonardo Melosi, 2011.
"Methods for Computing Marginal Data Densities from the Gibbs Output,"
Departmental Working Papers
201131, Rutgers University, Department of Economics.
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- Ouysse, Rachida, 2016. "Bayesian model averaging and principal component regression forecasts in a data rich environment," International Journal of Forecasting, Elsevier, vol. 32(3), pages 763-787.
- Todd E. Clark & Michael W. McCracken, 2009.
"Combining Forecasts from Nested Models,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(3), pages 303-329, June.
- Todd E. Clark & Michael W. McCracken, 2007. "Combining forecasts from nested models," Finance and Economics Discussion Series 2007-43, Board of Governors of the Federal Reserve System (U.S.).
- Todd E. Clark & Michael W. McCracken, 2006. "Combining forecasts from nested models," Research Working Paper RWP 06-02, Federal Reserve Bank of Kansas City.
- Todd E. Clark & Michael W. McCracken, 2008. "Combining forecasts from nested models," Working Papers 2008-037, Federal Reserve Bank of St. Louis.
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"Forecasting financial and macroeconomic variables using data reduction methods: New empirical evidence,"
Journal of Econometrics, Elsevier, vol. 178(P2), pages 352-367.
- Huyn Hak Kim & Norman R. Swanson, 2011. "Forecasting Financial and Macroeconomic Variables Using Data Reduction Methods: New Empirical Evidence," Departmental Working Papers 201119, Rutgers University, Department of Economics.
- Jochmann, Markus & Koop, Gary & Strachan, Rodney W., 2010.
"Bayesian forecasting using stochastic search variable selection in a VAR subject to breaks,"
International Journal of Forecasting, Elsevier, vol. 26(2), pages 326-347, April.
- Markus Jochmann & Gary Koop & Rodney W. Strachan, 2008. "Bayesian Forecasting using Stochastic Search Variable Selection in a VAR Subject to Breaks," Working Paper series 19_08, Rimini Centre for Economic Analysis.
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"Recessions as Breadwinner for Forecasters State-Dependent Evaluation of Predictive Ability: Evidence from Big Macroeconomic US Data,"
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"Bayesian model averaging and identification of structural breaks in time series,"
Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3805-3818.
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"Sparse Graphical Vector Autoregression: A Bayesian Approach,"
Annals of Economics and Statistics, GENES, issue 123-124, pages 333-361.
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"Hierarchical shrinkage priors for dynamic regressions with many predictors,"
LIDAM Discussion Papers CORE
2011021, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Korobilis, Dimitris, 2013. "Hierarchical shrinkage priors for dynamic regressions with many predictors," International Journal of Forecasting, Elsevier, vol. 29(1), pages 43-59.
- Dimitris Korobilis, 2011. "Hierarchical Shrinkage Priors for Dynamic Regressions with Many Predictors," Working Paper series 21_11, Rimini Centre for Economic Analysis.
- Korobilis, Dimitris, 2011. "Hierarchical shrinkage priors for dynamic regressions with many predictors," MPRA Paper 30380, University Library of Munich, Germany.
- Poghosyan, K., 2012. "Structural and reduced-form modeling and forecasting with application to Armenia," Other publications TiSEM ad1a24c3-15e6-4f04-b338-3, Tilburg University, School of Economics and Management.
- Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2014.
"Combined Density Nowcasting in an uncertain economic environment,"
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- Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2014. "Combined Density Nowcasting in an Uncertain Economic Environment," Tinbergen Institute Discussion Papers 14-152/III, Tinbergen Institute.
- Eidenberger, Judith & Neudorfer, Benjamin & Sigmund, Michael & Stein, Ingrid, 2014. "What predicts financial (in)stability? A Bayesian approach," Discussion Papers 36/2014, Deutsche Bundesbank.
- Ahlem DAHEM, 2016. "Short-Term Bayesian Inflation Forecasting For Tunisia: Some Empirical Evidence," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 5(1), pages 1-47, January.
- Hyun Hak Kim & Norman Swanson, 2013. "Mining Big Data Using Parsimonious Factor and Shrinkage Methods," Departmental Working Papers 201316, Rutgers University, Department of Economics.
- Nombulelo Gumata & Alain Kabundi & Eliphas Ndou, 2013.
"Important channels of transmission of monetary policy shock in South Africa,"
Working Papers
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- Konstantin Kholodilin & Boriss Siliverstovs, 2010. "Assessing the Real-Time Informational Content of Macroeconomic Data Releases for Now-/Forecasting GDP," KOF Working papers 10-251, KOF Swiss Economic Institute, ETH Zurich.
- Knut Aastveit & Tørres Trovik, 2012.
"Nowcasting norwegian GDP: the role of asset prices in a small open economy,"
Empirical Economics, Springer, vol. 42(1), pages 95-119, February.
- Knut Are Aastveit & Tørres G. Trovik, 2008. "Nowcasting Norwegian GDP: The role of asset prices in a small open economy," Working Paper 2007/09, Norges Bank.
- Jana Eklund & Sune Karlsson, 2007.
"Computational Efficiency in Bayesian Model and Variable Selection,"
Economics
wp35, Department of Economics, Central bank of Iceland.
- Eklund, Jana & Karlsson, Sune, 2007. "Computational Efficiency in Bayesian Model and Variable Selection," Working Papers 2007:4, Örebro University, School of Business.
- Cubadda, Gianluca & Grassi, Stefano & Guardabascio, Barbara, 2025.
"The time-varying Multivariate Autoregressive Index model,"
International Journal of Forecasting, Elsevier, vol. 41(1), pages 175-190.
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- G. Cubadda & S. Grassi & B. Guardabascio, 2022. "The Time-Varying Multivariate Autoregressive Index Model," Papers 2201.07069, arXiv.org.
- Gary Koop & Dimitris Korompilis, 2009.
"UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?,"
Working Papers
0917, University of Strathclyde Business School, Department of Economics.
- Koop, Gary & Korobilis, Dimitris, 2011. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," SIRE Discussion Papers 2011-39, Scottish Institute for Research in Economics (SIRE).
- Koop, Gary & Korobilis, Dimitris, 2009. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," SIRE Discussion Papers 2009-40, Scottish Institute for Research in Economics (SIRE).
- Koop, Gary & Korobilis, Dimitris, 2011. "UK macroeconomic forecasting with many predictors: Which models forecast best and when do they do so?," Economic Modelling, Elsevier, vol. 28(5), pages 2307-2318, September.
- Gary Koop & Dimitris Korobilis, 2011. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," Working Papers 1118, University of Strathclyde Business School, Department of Economics.
- Korobilis, Dimitris, 2013.
"Bayesian forecasting with highly correlated predictors,"
Economics Letters, Elsevier, vol. 118(1), pages 148-150.
- Dimitris Korobilis, 2012. "Bayesian Forecasting with Highly Correlated Predictors," Working Paper series 67_12, Rimini Centre for Economic Analysis.
- Dimitris Korobilis, 2012. "Bayesian forecasting with highly correlated predictors," Working Papers 2012_12, Business School - Economics, University of Glasgow.
- Korobilis, Dimitris, 2012. "Bayesian forecasting with highly correlated predictors," SIRE Discussion Papers 2012-80, Scottish Institute for Research in Economics (SIRE).
- Buncic, Daniel & Piras, Gion Donat, 2016.
"Heterogeneous agents, the financial crisis and exchange rate predictability,"
Journal of International Money and Finance, Elsevier, vol. 60(C), pages 313-359.
- Buncic, Daniel & Piras, Gion Donat, 2014. "Heterogeneous Agents, the Financial Crisis and Exchange Rate Predictability," Economics Working Paper Series 1436, University of St. Gallen, School of Economics and Political Science, revised Oct 2015.
- Weron, Rafał, 2014.
"Electricity price forecasting: A review of the state-of-the-art with a look into the future,"
International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
- Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
- Nicholas Apergis & Ghassen El Montasser & Emmanuel Owusu-Sekyere & Ahdi N. Ajmi & Rangan Gupta, 2014. "Dutch Disease Effect of Oil Rents on Agriculture Value Added in MENA Countries," Working Papers 201408, University of Pretoria, Department of Economics.
- Aijun Yang & Ju Xiang & Lianjie Shu & Hongqiang Yang, 2018. "Sparse Bayesian Variable Selection with Correlation Prior for Forecasting Macroeconomic Variable using Highly Correlated Predictors," Computational Economics, Springer;Society for Computational Economics, vol. 51(2), pages 323-338, February.
- Reusens Peter & Croux Christophe, 2017. "Detecting time variation in the price puzzle: a less informative prior choice for time varying parameter VAR models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(4), pages 1-18, September.
- Risse, Marian, 2019. "Combining wavelet decomposition with machine learning to forecast gold returns," International Journal of Forecasting, Elsevier, vol. 35(2), pages 601-615.
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"Forecasting realized volatility: a Bayesian model-averaging approach,"
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"Forecasting Inflation in Mongolia: A Dynamic Model Averaging Approach,"
Journal of Time Series Econometrics, De Gruyter, vol. 15(1), pages 27-48, January.
- Doojav, Gan-Ochir & Luvsannyam, Davaajargal, 2017. "Forecasting inflation in Mongolia: A dynamic model averaging approach," MPRA Paper 102602, University Library of Munich, Germany.
- Maehashi, Kohei & Shintani, Mototsugu, 2020. "Macroeconomic forecasting using factor models and machine learning: an application to Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
- James H. Stock & Mark W. Watson, 2012. "Generalized Shrinkage Methods for Forecasting Using Many Predictors," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 481-493, June.
- Boriss Siliverstovs & Daniel S. Wochner, 2021. "State‐dependent evaluation of predictive ability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 547-574, April.
- Konstantin Styrin, 2019. "Forecasting Inflation in Russia Using Dynamic Model Averaging," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 3-18, March.
- Konstantin Styrin, 2018. "Forecasting inflation in Russia by Dynamic Model Averaging," Bank of Russia Working Paper Series wps39, Bank of Russia.
- Dahem, Ahlem, 2015. "Short term Bayesian inflation forecasting for Tunisia," MPRA Paper 66702, University Library of Munich, Germany.
- Kohei Maehashi & Mototsugu Shintani, 2020. "Macroeconomic Forecasting Using Factor Models and Machine Learning: An Application to Japan," CIRJE F-Series CIRJE-F-1146, CIRJE, Faculty of Economics, University of Tokyo.
- Wei-Chun Hsu & Lin Lin & Chen-Yu Li, 2014. "Forecasting automobile sales: the Peña-Box approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(6), pages 568-580, August.
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- Massimiliano Serati & Andrea Venegoni, 2018. "Drivers of migration flows for companies: an integrated analysis," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 72(3), pages 53-64, July-Sept.
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"An Embarrassment of Riches: Forecasting Using Large Panels,"
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Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 37(5), pages 1077-1106.
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"The Creative Class and the crisis,"
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""Change Detection and the Causal Impact of the Yield Curve,"
Cowles Foundation Discussion Papers
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"Forecast combination for U.S. recessions with real-time data,"
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- Pauwels, Laurent & Vasnev, Andrey, 2013. "Forecast combination for U.S. recessions with real-time data," Working Papers 2013-05, University of Sydney Business School, Discipline of Business Analytics.
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"A factor-augmented probit model for business cycle analysis,"
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AMSE Working Papers
2013, Aix-Marseille School of Economics, France.
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"Liquidity effects of the events of September 11, 2001,"
Economic Policy Review, Federal Reserve Bank of New York, vol. 8(Nov), pages 59-79.
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"Interbank Exposures : An Empirical Examination of Systemic Risk in the Belgian Banking System,"
Other publications TiSEM
24d7f8a9-0f7c-411a-843c-c, Tilburg University, School of Economics and Management.
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"Where the Risks Lie: A Survey on Systemic Risk,"
HEC Research Papers Series
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"Liquidity creation without a lender of last resort: clearing house loan certificates in the Banking Panic of 1907,"
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- Hammoudeh, Shawkat & Uddin, Gazi Salah & Sousa, Ricardo M. & Wadström, Christoffer & Sharmi, Rubaiya Zaman, 2022. "Do pandemic, trade policy and world uncertainties affect oil price returns?," Resources Policy, Elsevier, vol. 77(C).
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- Martin Hess, 2006. "Timing and diversification: A state-dependent asset allocation approach," The European Journal of Finance, Taylor & Francis Journals, vol. 12(3), pages 189-204.
- Szabolcs Blazsek & Anna Downarowicz, 2008. "Regime switching models of hedge fund returns," Faculty Working Papers 12/08, School of Economics and Business Administration, University of Navarra.
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"A Nonlinear Model of the Business Cycle,"
Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(2), pages 1-11, July.
See citations under working paper version above.
- Simon M. Potter & Edward E. Leamer, 2004. "A Nonlinear Model of the Business Cycle," Econometric Society 2004 North American Winter Meetings 490, Econometric Society.
- Potter, Simon M., 2000.
"Nonlinear impulse response functions,"
Journal of Economic Dynamics and Control, Elsevier, vol. 24(10), pages 1425-1446, September.
See citations under working paper version above.
- Simon M. Potter, 1999. "Nonlinear impulse response functions," Staff Reports 65, Federal Reserve Bank of New York.
- Koop, Gary & Potter, Simon M, 1999.
"Dynamic Asymmetries in U.S. Unemployment,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 298-312, July.
See citations under working paper version above.
- Gary Koop & Simon M. Potter, 1998. "Dynamic asymmetries in US unemployment," Edinburgh School of Economics Discussion Paper Series 15, Edinburgh School of Economics, University of Edinburgh.
- Chinhui Juhn & Simon M. Potter, 1999.
"Explaining the recent divergence in payroll and household employment growth,"
Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 5(Dec).
Cited by:
- Paul Ong & Matthew R. Graham, 2007. "Social, Economic, Spatial, and Commuting Patterns of Dual Jobholders," Longitudinal Employer-Household Dynamics Technical Papers 2007-01, Center for Economic Studies, U.S. Census Bureau.
- Kevin L. Kliesen, 2007. "How well does employment predict output?," Review, Federal Reserve Bank of St. Louis, vol. 89(Sep), pages 433-446.
- Marcelle, Chauvet & Jeremy, Piger, 2010.
"Employment and the business cycle,"
MPRA Paper
46642, University Library of Munich, Germany.
- Marcelle, Chauvet & Jeremy, Piger, 2010. "Employment and the business cycle," MPRA Paper 34103, University Library of Munich, Germany.
- Marcelle Chauvet & Jeremy Piger, 2013. "Employment And The Business Cycle," Manchester School, University of Manchester, vol. 81, pages 16-42, October.
- Marcelle Chauvet & James D. Hamilton, 2005.
"Dating Business Cycle Turning Points,"
NBER Working Papers
11422, National Bureau of Economic Research, Inc.
- Marcelle Chauvet & James D. Hamilton, 2006. "Dating Business Cycle Turning Points," Contributions to Economic Analysis, in: Nonlinear Time Series Analysis of Business Cycles, pages 1-54, Emerald Group Publishing Limited.
- Chinhui Juhn & Simon Potter, 2006. "Changes in Labor Force Participation in the United States," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 27-46, Summer.
- Katharine Abraham & John Haltiwanger & Kristin Sandusky & James Spletzer, 2009.
"Exploring Differences in Employment between Household and Establishment Data,"
Working Papers
09-09, Center for Economic Studies, U.S. Census Bureau.
- Katharine G. Abraham & John C. Haltiwanger & Kristin Sandusky & James Spletzer, 2009. "Exploring Differences in Employment between Household and Establishment Data," NBER Working Papers 14805, National Bureau of Economic Research, Inc.
- Katharine G. Abraham & John Haltiwanger & Kristin Sandusky & James R. Spletzer, 2013. "Exploring Differences in Employment between Household and Establishment Data," Journal of Labor Economics, University of Chicago Press, vol. 31(S1), pages 129-172.
- Kitchen, John, 2003. "A Note on the Observed Downward Bias in Real-Time Estimates of Payroll Jobs Growth in Early Expansions," MPRA Paper 21070, University Library of Munich, Germany.
- Nicholas Haltom & Vanessa D. Mitchell & Ellis W. Tallman, 2005. "Payroll employment data: measuring the effects of annual benchmark revisions," Economic Review, Federal Reserve Bank of Atlanta, vol. 90(Q 2), pages 1-23.
- Simon Potter, 1999.
"Nonlinear Time Series Modelling: An Introduction,"
Journal of Economic Surveys, Wiley Blackwell, vol. 13(5), pages 505-528, December.
See citations under working paper version above.
- Simon M. Potter, 1999. "Nonlinear time series modelling: an introduction," Staff Reports 87, Federal Reserve Bank of New York.
- Koop, Gary & Potter, Simon M., 1998.
"Bayes factors and nonlinearity: Evidence from economic time series1,"
Journal of Econometrics, Elsevier, vol. 88(2), pages 251-281, November.
Cited by:
- Gianluigi Pelloni & Wolfgang Polasek, "undated". "Intersectoral Labour Reallocation and Employment Volatility: A Bayesian Analysis using a VAR-GARCH-M model," Discussion Papers 99/4, Department of Economics, University of York.
- Chang-Jin Kim & Jeremy Piger, 2000.
"Common Stochastic Trends, Common Cycles, and Asymmetry in Economic Fluctuations,"
Discussion Papers in Economics at the University of Washington
0021, Department of Economics at the University of Washington.
- Chang-Jin Kim & Jeremy Piger, 2000. "Common Stochastic Trends, Common Cycles, and Asymmetry in Economic Fluctuations," Econometric Society World Congress 2000 Contributed Papers 1465, Econometric Society.
- Chang-Jin Kim & Jeremy Piger, 2000. "Common Stochastic Trends, Common Cycles, and Asymmetry in Economic Fluctuations," Working Papers 0021, University of Washington, Department of Economics.
- Kim, Chang-Jin & Piger, Jeremy, 2002. "Common stochastic trends, common cycles, and asymmetry in economic fluctuations," Journal of Monetary Economics, Elsevier, vol. 49(6), pages 1189-1211, September.
- Chang-Jin Kim & Jeremy M. Piger, 2000. "Common stochastic trends, common cycles, and asymmetry in economic fluctuations," International Finance Discussion Papers 681, Board of Governors of the Federal Reserve System (U.S.).
- Chang-Jin Kim & Jeremy M. Piger, 2001. "Common stochastic trends, common cycles, and asymmetry in economic fluctuations," Working Papers 2001-014, Federal Reserve Bank of St. Louis.
- Doppelhofer, G. & Cuaresma, J.C., 2007.
"Nonlinearities in Cross-Country Growth Regressions: A Bayesian Averaging of Thresholds (BAT) Approach,"
Cambridge Working Papers in Economics
0706, Faculty of Economics, University of Cambridge.
- Crespo Cuaresma, Jesus & Doppelhofer, Gernot, 2007. "Nonlinearities in cross-country growth regressions: A Bayesian Averaging of Thresholds (BAT) approach," Journal of Macroeconomics, Elsevier, vol. 29(3), pages 541-554, September.
- John W. Schindler, 2001. "Testing optimality in job search models," International Finance Discussion Papers 710, Board of Governors of the Federal Reserve System (U.S.).
- Chang-Jin Kim & Charles R. Nelson & Jeremy M. Piger, 2003.
"The less volatile U.S. economy: a Bayesian investigation of timing, breadth, and potential explanations,"
Working Papers
2001-016, Federal Reserve Bank of St. Louis.
- Kim, Chang-Jin & Nelson, Charles R & Piger, Jeremy, 2004. "The Less-Volatile U.S. Economy: A Bayesian Investigation of Timing, Breadth, and Potential Explanations," Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 80-93, January.
- Chang-Jin Kim & Charles R. Nelson & Jeremy M. Piger, 2001. "The less volatile U.S. economy: a Bayesian investigation of timing, breadth, and potential explanations," International Finance Discussion Papers 707, Board of Governors of the Federal Reserve System (U.S.).
- Marcelle Chauvet & Simon Potter, 2005.
"Forecasting recessions using the yield curve,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 77-103.
- Marcelle Chauvet & Simon M. Potter, 2001. "Forecasting recessions using the yield curve," Staff Reports 134, Federal Reserve Bank of New York.
- Henry, O.T. & Summers, P.M., 2000.
"Australian Economic Growth: Non-Linearities and Internaitonal Influences,"
Department of Economics - Working Papers Series
738, The University of Melbourne.
- Ólan T. Henry & Peter M. Summers, 2000. "Australian Economic Growth: Nonlinearities and International Influences," The Economic Record, The Economic Society of Australia, vol. 76(235), pages 365-373, December.
- Chang-Jin Kim & Charles Nelson, 1999.
"A Bayesian Approach to Testing for Markov Switching in Univariate and Dynamic Factor Models,"
Working Papers
0035, University of Washington, Department of Economics.
- Kim, Chang-Jin & Nelson, Charles R, 2001. "A Bayesian Approach to Testing for Markov-Switching in Univariate and Dynamic Factor Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 989-1013, November.
- Chang-Jin Kim & Charles Nelson, 1999. "A Bayesian Approach to Testing for Markov Switching in Univariate and Dynamic Factor Models," Discussion Papers in Economics at the University of Washington 0035, Department of Economics at the University of Washington.
- Chang-Jin Kim & Charles Nelson, 1998. "A Bayesian Approach to Testing for Markov Switching in Univariate and Dynamic Factor Models," Working Papers 0059, University of Washington, Department of Economics.
- Chang-Jin Kim & Charles Nelson, 1998. "A Bayesian Approach to Testing for Markov Switching in Univariate and Dynamic Factor Models," Discussion Papers in Economics at the University of Washington 0059, Department of Economics at the University of Washington.
- Simon M. Potter & Edward E. Leamer, 2004.
"A Nonlinear Model of the Business Cycle,"
Econometric Society 2004 North American Winter Meetings
490, Econometric Society.
- Potter Simon M., 2000. "A Nonlinear Model of the Business Cycle," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 4(2), pages 1-11, July.
- Anthony Garratt & Gary Koop & Shaun P. Vahey, 2008.
"Forecasting Substantial Data Revisions in the Presence of Model Uncertainty,"
Economic Journal, Royal Economic Society, vol. 118(530), pages 1128-1144, July.
- Anthony Garratt & Gary Koop & ShaunP. Vahey, 2008. "Forecasting Substantial Data Revisions in the Presence of Model Uncertainty," Economic Journal, Royal Economic Society, vol. 118(530), pages 1128-1144, July.
- Anthony Garratt & Gary Koop & Shaun P. Vahey, 2006. "Forecasting Substantial Data Revisions in the Presence of Model Uncertainty," Birkbeck Working Papers in Economics and Finance 0617, Birkbeck, Department of Economics, Mathematics & Statistics.
- Anthony Garratt & Gary Koop & Shaun P. Vahey, 2006. "Forecasting Substantial Data Revisions in the Presence of Model Uncertainty," Reserve Bank of New Zealand Discussion Paper Series DP2006/02, Reserve Bank of New Zealand.
- Huang, Yu-Fan, 2015. "Time variation in U.S. monetary policy and credit spreads," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 205-215.
- Andrew D. Sanford & Gael Martin, 2004. "Bayesian Analysis of Continuous Time Models of the Australian Short Rate," Monash Econometrics and Business Statistics Working Papers 11/04, Monash University, Department of Econometrics and Business Statistics.
- Chang‐Jin Kim & Jeremy M. Piger & Richard Startz, 2007.
"The Dynamic Relationship between Permanent and Transitory Components of U.S. Business Cycles,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(1), pages 187-204, February.
- Chang-Jin Kim & Jeremy Piger & Richard Startz, 2003. "The Dynamic Relationship Between Permanent and Transitory Components of U.S. Business Cycle," Working Papers UWEC-2003-36, University of Washington, Department of Economics.
- Chang-Jin Kim & Jeremy M. Piger & Richard Startz, 2007. "The Dynamic Relationship between Permanent and Transitory Components of U.S. Business Cycles," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(1), pages 187-204, February.
- Chang-Jin Kim & Jeremy M. Piger & Richard Startz, 2005. "The dynamic relationship between permanent and transitory components of U.S. business cycles," Working Papers 2001-017, Federal Reserve Bank of St. Louis.
- Gianluigi Pelloni & Wolfgang Polasek, 2003.
"Macroeconomic Effects of Sectoral Shocks in Germany, The U.K. and, The U.S.: A VAR-GARCH-M Approach,"
Computational Economics, Springer;Society for Computational Economics, vol. 21(1_2), pages 65-85, February.
- Gianluigi Pelloni & Wolfgang Polasek, 2003. "Macroeconomic Effects of Sectoral Shocks in Germany, The U.K. and, The U.S. A VAR-GARCH-M Approach," Computational Economics, Springer;Society for Computational Economics, vol. 21(1), pages 65-85, February.
- Marcelle Chauvet & Chinhui Juhn & Simon M. Potter, 2001.
"Markov switching in disaggregate unemployment rates,"
Staff Reports
132, Federal Reserve Bank of New York.
- Chinhui Juhn & Simon Potter & Marcelle Chauvet, 2002. "Markov switching in disaggregate unemployment rates," Empirical Economics, Springer, vol. 27(2), pages 205-232.
- Marcelle Chauvet & Simon Potter, 2001.
"Recent Changes in the US Business Cycle,"
Manchester School, University of Manchester, vol. 69(5), pages 481-508, October.
- Marcelle Chauvet & Simon M. Potter, 2001. "Recent changes in the U.S. business cycle," Staff Reports 126, Federal Reserve Bank of New York.
- Simon Potter, 1999.
"Nonlinear Time Series Modelling: An Introduction,"
Journal of Economic Surveys, Wiley Blackwell, vol. 13(5), pages 505-528, December.
- Simon M. Potter, 1999. "Nonlinear time series modelling: an introduction," Staff Reports 87, Federal Reserve Bank of New York.
- Gary Koop & Simon M. Potter, 2000.
"Bayesian Analysis of Endogenous Delay Threshold Models,"
Edinburgh School of Economics Discussion Paper Series
11, Edinburgh School of Economics, University of Edinburgh.
- Koop, Gary & Potter, Simon M, 2003. "Bayesian Analysis of Endogenous Delay Threshold Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 93-103, January.
- Penelope Smith, 2006. "Bayesian Inference for a Threshold Autoregression with a Unit Root," Melbourne Institute Working Paper Series wp2006n20, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Chun Liu & John M. Maheu, 2009.
"Forecasting realized volatility: a Bayesian model-averaging approach,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 709-733.
- Chun Liu & John M Maheu, 2008. "Forecasting Realized Volatility: A Bayesian Model Averaging Approach," Working Papers tecipa-313, University of Toronto, Department of Economics.
- Penelope A. Smith & Peter M. Summers, 2002.
"Regime Switches in GDP Growth and Volatility: Some International Evidence and Implications for Modelling Business Cycles,"
Melbourne Institute Working Paper Series
wp2002n21, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
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- Sugita, Katsuhiro, 2008. "Bayesian analysis of a Markov switching temporal cointegration model," Japan and the World Economy, Elsevier, vol. 20(2), pages 257-274, March.
- Marcelle, Chauvet & Simon, Potter, 2007. "Monitoring Business Cycles with Structural Breaks," MPRA Paper 15097, University Library of Munich, Germany, revised 31 Apr 2009.
- Sumru Altuğ & Melike Bildirici, 2010.
"Business Cycles around the Globe: A Regime Switching Approach,"
Working Papers
0032, Yildiz Technical University, Department of Economics, revised Mar 2010.
- Sumru Altug & Melike Bildirici, 2010. "Business Cycles around the Globe: A Regime Switching Approach," Koç University-TUSIAD Economic Research Forum Working Papers 1009, Koc University-TUSIAD Economic Research Forum.
- Altug, Sumru & Bildirici, Melike, 2010. "Business Cycles around the Globe: A Regime-switching Approach," CEPR Discussion Papers 7968, C.E.P.R. Discussion Papers.
- Chang-Jin Kim & Jeremy M. Piger & Richard Startz, 2001. "Permanent and transitory components of business cycles: their relative importance and dynamic relationship," International Finance Discussion Papers 703, Board of Governors of the Federal Reserve System (U.S.).
- C.S. Forbes & G.M. Martin & J. Wright, 2002. "Bayesian Estimation of a Stochastic Volatility Model Using Option and Spot Prices," Monash Econometrics and Business Statistics Working Papers 2/02, Monash University, Department of Econometrics and Business Statistics.
- Brock, William A., 2000. "Whither nonlinear?," Journal of Economic Dynamics and Control, Elsevier, vol. 24(5-7), pages 663-678, June.
- Man-Suk Oh & Dong Wan Shin, 2002. "Bayesian model selection and parameter estimation for possibly asymmetric and non-stationary time series using a reversible jump Markov chain Monte Carlo approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(5), pages 771-789.
- Petros Dellaportas & David G. T. Denison & Chris Holmes, 2007. "Flexible Threshold Models for Modelling Interest Rate Volatility," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 419-437.
- Hansen,B.E., 1999. "Testing for linearity," Working papers 7, Wisconsin Madison - Social Systems.
- Penelope A. Smith & Peter M. Summers, 2004. "Identification and normalization in Markov switching models of \"business cycles\"," Research Working Paper RWP 04-09, Federal Reserve Bank of Kansas City.
- Pesaran, M. Hashem & Potter, Simon M., 1997.
"A floor and ceiling model of US output,"
Journal of Economic Dynamics and Control, Elsevier, vol. 21(4-5), pages 661-695, May.
See citations under working paper version above.
- Pesaran, H.M. & Potter, S.M., 1995. "A Floor and Ceiling Model of U.S. Output," Cambridge Working Papers in Economics 9407, Faculty of Economics, University of Cambridge.
- Koop, Gary & Pesaran, M. Hashem & Potter, Simon M., 1996.
"Impulse response analysis in nonlinear multivariate models,"
Journal of Econometrics, Elsevier, vol. 74(1), pages 119-147, September.
Cited by:
- Cervini-Plá, María & Silva, José I. & López-Villavicencio, Antonia, 2012. "Labor disruption costs and real wages cyclicality," MPRA Paper 42366, University Library of Munich, Germany.
- Teona Shugliashvili, 2023. "The words have power: the impact of news on exchange rates," FFA Working Papers 5.006, Prague University of Economics and Business, revised 31 Jul 2023.
- Volker Seiler, 2024.
"The relationship between Chinese and FOB prices of rare earth elements – Evidence in the time and frequency domain,"
Post-Print
hal-04549980, HAL.
- Seiler, Volker, 2024. "The relationship between Chinese and FOB prices of rare earth elements – Evidence in the time and frequency domain," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 160-179.
- Andreas Georgantopoulos, 2012. "Electricity Consumption and Economic Growth: Analysis and Forecasts using VAR/VEC Approach for Greece with Capital Formation," International Journal of Energy Economics and Policy, Econjournals, vol. 2(4), pages 263-278.
- Andrey Sinyakov, 2013. "Declared and actual policy of the Russian Central Bank in 2000–2008: how large is the difference? (in Russian)," Quantile, Quantile, issue 11, pages 91-106, December.
- K. Chaudhuri & S. Smiles, 2004. "Stock market and aggregate economic activity: evidence from Australia," Applied Financial Economics, Taylor & Francis Journals, vol. 14(2), pages 121-129.
- Yusuf Soner Başkaya & Timur Hülagü & Hande Küçük, 2013.
"Oil Price Uncertainty in a Small Open Economy,"
IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(1), pages 168-198, April.
- Yusuf Soner Baskaya & Timur Hulagu & Hande Kucuk, 2013. "Oil Price Uncertainty in a Small Open Economy," Working Papers 1309, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
- Ioannis Chatziantoniou & David Gabauer, 2019.
"EMU-Risk Synchronisation and Financial Fragility Through the Prism of Dynamic Connectedness,"
Working Papers in Economics & Finance
2019-07, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
- Chatziantoniou, Ioannis & Gabauer, David, 2021. "EMU risk-synchronisation and financial fragility through the prism of dynamic connectedness," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 1-14.
- Kamal, Javed Bin & Hassan, M. Kabir, 2022. "Asymmetric connectedness between cryptocurrency environment attention index and green assets," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
- Bouri, Elie & Cepni, Oguzhan & Gabauer, David & Gupta, Rangan, 2021.
"Return connectedness across asset classes around the COVID-19 outbreak,"
International Review of Financial Analysis, Elsevier, vol. 73(C).
- Elie Bouri & Oguzhan Cepni & David Gabauer & Rangan Gupta, 2020. "Return Connectedness across Asset Classes around the COVID-19 Outbreak," Working Papers 202047, University of Pretoria, Department of Economics.
- Miklesh Yadav & Nandita Mishra & Shruti Ashok, 2023. "Dynamic connectedness of green bond with financial markets of European countries under OECD economies," Economic Change and Restructuring, Springer, vol. 56(1), pages 609-631, February.
- Hasan, Mudassar & Arif, Muhammad & Naeem, Muhammad Abubakr & Ngo, Quang-Thanh & Taghizadeh–Hesary, Farhad, 2021. "Time-frequency connectedness between Asian electricity sectors," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 208-224.
- Caggiano, Giovanni & Castelnuovo, Efrem & Pellegrino, Giovanni, 2021. "Uncertainty shocks and the great recession: Nonlinearities matter," Economics Letters, Elsevier, vol. 198(C).
- Huang, Shoujun & Bossman, Ahmed & Gubareva, Mariya & Teplova, Tamara, 2024. "International transmission of shocks and African forex markets," Energy Economics, Elsevier, vol. 131(C).
- Michael T. Owyang & Jeremy Piger & Daniel Soques, 2022.
"Contagious switching,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 415-432, March.
- Michael T. Owyang & Jeremy M. Piger & Daniel Soques, 2019. "Contagious Switching," Working Papers 2019-014, Federal Reserve Bank of St. Louis, revised 28 Feb 2021.
- Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
- Nils Holinski & Robert Vermeulen, 2012.
"The international wealth channel: a global error-correcting analysis,"
Empirical Economics, Springer, vol. 43(3), pages 985-1010, December.
- Nils Holinski & Robert Vermeulen, 2010. "The International Wealth Channel: A Global Error-Correcting Analysis," DEM Discussion Paper Series 10-04, Department of Economics at the University of Luxembourg.
- Canova, Fabio & Pappa, Evi & Gambetti, Luca, 2006.
"The Structural Dynamics of Output Growth and Inflation: Some International Evidence,"
CEPR Discussion Papers
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- Fabio Canova & Luca Gambetti & Evi Pappa, 2007. "The Structural Dynamics of Output Growth and Inflation: Some International Evidence," Economic Journal, Royal Economic Society, vol. 117(519), pages 167-191, March.
- Tomas Konecny & Oxana Babecka Kucharcukova, 2013. "Evaluating the Links Between the Financial and Real Sectors in a Small Open Economy: The Case of the Czech Republic," Working Papers 2013/10, Czech National Bank.
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"Fortune or Virtue: Time-Variant Volatilities Versus Parameter Drifting in U.S. Data,"
NBER Working Papers
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"Linkages between the Eurozone and the South-Eastern European Countries: A VECMX Analysis,"
Working Papers
1302, University of Crete, Department of Economics.
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- Stilianos Fountas & Dimitra Kontana & Paraskevi Tzika, 2024.
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"Deep Dynamic Factor Models,"
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- Chauvet, Marcelle & Potter, Simon, 2001.
"Nonlinear Risk,"
Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 621-646, September.
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- Randal J. Verbrugge, 1998. "Cross-Sectional and Longitudinal Inflation Asymmetries," Macroeconomics 9809018, University Library of Munich, Germany.
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"Forecasting Exchange-Rates via Local Approximation Methods and Neural Networks,"
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17764, University Library of Munich, Germany.
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"Market Characteristics and Chaos Dynamics in Stock Markets: an International Comparison,"
Palgrave Macmillan Studies in Banking and Financial Institutions, in: Alessandro Carretta & Franco Fiordelisi & Gianluca Mattarocci (ed.), New Drivers of Performance in a Changing Financial World, chapter 6, pages 89-106,
Palgrave Macmillan.
- Mattarocci, Gianluca, 2006. "Market characteristics and chaos dynamics in stock markets: an international comparison," MPRA Paper 4296, University Library of Munich, Germany, revised Jun 2006.
- Kian-Ping Lim & Hock-Ann Lee & Venus Khim-Sen Liew, 2003. "International Diversification Benefits in ASEAN Stock Markets: a Revisit," Finance 0308003, University Library of Munich, Germany.
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511, University Library of Munich, Germany.
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- Markus Vogl, 2022. "Quantitative modelling frontiers: a literature review on the evolution in financial and risk modelling after the financial crisis (2008–2019)," SN Business & Economics, Springer, vol. 2(12), pages 1-69, December.
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- Kian-Ping Lim & Venus Khim-Sen Liew, 2003. "Testing for Non-Linearity in ASEAN Financial Markets," Finance 0308002, University Library of Munich, Germany.
- Hock-Ann Lee & Kian-Ping Lim & Venus Khim-Sen Liew, 2009. "Is There Any International Diversification Benefits in ASEAN Stock Markets?," Economics Bulletin, AccessEcon, vol. 29(1), pages 392-406.
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- Andreas S. Andreou & George A. Zombanakis, 2006. "Computational Intelligence in Exchange-Rate Forecasting," Working Papers 49, Bank of Greece.
- Jean-Paul Chavas & Salvatore Falco, 2017. "Resilience, Weather and Dynamic Adjustments in Agroecosystems: The Case of Wheat Yield in England," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(2), pages 297-320, June.
Chapters
- Chauvet, Marcelle & Potter, Simon, 2013.
"Forecasting Output,"
Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 141-194,
Elsevier.
Cited by:
- Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020.
"Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model,"
International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
- Kai Carstensen & Markus Heinrich & Magnus Reif & Maik H. Wolters, 2019. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model," Jena Economics Research Papers 2019-006, Friedrich-Schiller-University Jena.
- Kai Carstensen & Markus Heinrich & Magnus Reif & Maik H. Wolters, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," CESifo Working Paper Series 6457, CESifo.
- Heinrich, Markus & Carstensen, Kai & Reif, Magnus & Wolters, Maik, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168206, Verein für Socialpolitik / German Economic Association.
- Arabinda Basistha, 2023. "Estimation of short‐run predictive factor for US growth using state employment data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 34-50, January.
- Frank Schorfheide & Dongho Song, 2015.
"Real-Time Forecasting With a Mixed-Frequency VAR,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.
- Frank Schorfheide & Dongho Song, 2013. "Real-Time Forecasting with a Mixed-Frequency VAR," NBER Working Papers 19712, National Bureau of Economic Research, Inc.
- Frank Schorfheide & Dongho Song, 2012. "Real-time forecasting with a mixed-frequency VAR," Working Papers 701, Federal Reserve Bank of Minneapolis.
- Rachidi Kotchoni & Dalibor Stevanovic, 2016.
"Forecasting U.S. Recessions and Economic Activity,"
Working Papers
hal-04141569, HAL.
- Rachidi Kotchoni & Dalibor Stevanovic, 2016. "Forecasting U.S. Recessions and Economic Activity," EconomiX Working Papers 2016-40, University of Paris Nanterre, EconomiX.
- Dalibor Stevanovic & Rachidi Kotchoni, 2016. "Forecasting U.S. Recessions and Economic Activity," CIRANO Working Papers 2016s-36, CIRANO.
- Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020.
"Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model,"
Working Papers
halshs-02443364, HAL.
- Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020. "Business cycle dynamics after the Great Recession: An Extended Markov-Switching Dynamic Factor Model," PSE Working Papers halshs-02443364, HAL.
- Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020. "Business cycle dynamics after the Great Recession: An extended Markov-Switching Dynamic Factor Model," OECD Statistics Working Papers 2020/01, OECD Publishing.
- Ouysse, Rachida, 2016. "Bayesian model averaging and principal component regression forecasts in a data rich environment," International Journal of Forecasting, Elsevier, vol. 32(3), pages 763-787.
- Raul Ibarra & Luis M. Gomez-Zamudio, 2017.
"Are Daily Financial Data Useful for Forecasting GDP? Evidence from Mexico,"
Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 173-203, April.
- Gómez-Zamudio, Luis M. & Ibarra, Raúl, 2017. "Are daily financial data useful for forecasting GDP? Evidence from Mexico," LSE Research Online Documents on Economics 123310, London School of Economics and Political Science, LSE Library.
- Ibarra-Ramírez Raúl & Gómez-Zamudio Luis M., 2017. "Are daily financial data useful for forecasting GDP? Evidence from Mexico," Working Papers 2017-17, Banco de México.
- Boriss Siliverstovs & Daniel Wochner, 2020.
"Recessions as Breadwinner for Forecasters State-Dependent Evaluation of Predictive Ability: Evidence from Big Macroeconomic US Data,"
Working Papers
2020/02, Latvijas Banka.
- Boriss Siliverstovs & Daniel Wochner, 2019. "Recessions as Breadwinner for Forecasters State-Dependent Evaluation of Predictive Ability: Evidence from Big Macroeconomic US Data," KOF Working papers 19-463, KOF Swiss Economic Institute, ETH Zurich.
- Elliott, Graham & Gargano, Antonio & Timmermann, Allan, 2015. "Complete subset regressions with large-dimensional sets of predictors," Journal of Economic Dynamics and Control, Elsevier, vol. 54(C), pages 86-110.
- Hilde C. Bjørnland & Francesco Ravazzolo & Leif Anders Thorsrud, 2015.
"Forecasting GDP with global components. This time is different,"
Working Papers
No 1/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
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