Forecasting Inflation with a Zero Lower Bound or Negative Interest Rates: Evidence from Point and Density Forecasts
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- Christina Anderl & Guglielmo Maria Caporale, 2023. "Forecasting inflation with a zero lower bound or negative interest rates: Evidence from point and density forecasts," Manchester School, University of Manchester, vol. 91(3), pages 171-232, June.
References listed on IDEAS
- Orphanides, Athanasios & van Norden, Simon, 2005.
"The Reliability of Inflation Forecasts Based on Output Gap Estimates in Real Time,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 583-601, June.
- Athanasios Orphanides & Simon van Norden, 2003. "The Reliability of Inflation Forecasts Based on Output Gap Estimates in Real Time," CIRANO Working Papers 2003s-01, CIRANO.
- Athanasios Orphanides & Simon van Norden, 2004. "The reliability of inflation forecasts based on output gap estimates in real time," Finance and Economics Discussion Series 2004-68, Board of Governors of the Federal Reserve System (U.S.).
- Orphanides, Athanasios & van Norden, Simon, 2005. "The Reliability of Inflation Forecasts Based on Output Gap Estimates in Real Time," CEPR Discussion Papers 4830, C.E.P.R. Discussion Papers.
- Marco J. Lombardi & Feng Zhu, 2018.
"A Shadow Policy Rate to Calibrate U.S. Monetary Policy at the Zero Lower Bound,"
International Journal of Central Banking, International Journal of Central Banking, vol. 14(5), pages 305-346, December.
- Marco Jacopo Lombardi & Feng Zhu, 2014. "A shadow policy rate to calibrate US monetary policy at the zero lower bound," BIS Working Papers 452, Bank for International Settlements.
- repec:zbw:bofitp:2008_022 is not listed on IDEAS
- Hossein Hassani & Emmanuel Sirimal Silva, 2015. "A Kolmogorov-Smirnov Based Test for Comparing the Predictive Accuracy of Two Sets of Forecasts," Econometrics, MDPI, vol. 3(3), pages 1-20, August.
- Forni, Mario & Hallin, Marc & Lippi, Marco & Reichlin, Lucrezia, 2003.
"Do financial variables help forecasting inflation and real activity in the euro area?,"
Journal of Monetary Economics, Elsevier, vol. 50(6), pages 1243-1255, September.
- Lippi, Marco & Reichlin, Lucrezia & Hallin, Marc & Forni, Mario, 2002. "Do Financial Variables Help Forecasting Inflation and Real Activity in the Euro Area?," CEPR Discussion Papers 3146, C.E.P.R. Discussion Papers.
- Marc Hallin & Mario Forni & Marco Lippi & Lucrezia Reichlin, 2003. "Do financial variables help forecasting inflation and real activity in the Euro area ?," ULB Institutional Repository 2013/2123, ULB -- Universite Libre de Bruxelles.
- Lars E.O. Svensson, 1994.
"Estimating and Interpreting Forward Interest Rates: Sweden 1992 - 1994,"
NBER Working Papers
4871, National Bureau of Economic Research, Inc.
- Svensson, L.E.O., 1994. "Estimating and Interpreting Foreward Interest Rates: Sweden 1992-1994," Papers 579, Stockholm - International Economic Studies.
- Mr. Lars E. O. Svensson, 1994. "Estimating and Interpreting Forward Interest Rates: Sweden 1992-1994," IMF Working Papers 1994/114, International Monetary Fund.
- Berge, Travis J., 2018.
"Understanding survey-based inflation expectations,"
International Journal of Forecasting, Elsevier, vol. 34(4), pages 788-801.
- Travis J. Berge, 2017. "Understanding Survey Based Inflation Expectations," Finance and Economics Discussion Series 2017-046, Board of Governors of the Federal Reserve System (U.S.).
- Piergiorgio Alessandri & Haroon Mumtaz, 2017.
"Financial conditions and density forecasts for US output and inflation,"
Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 24, pages 66-78, March.
- Piergiorgio Alessandri & Haroon Mumtaz, 2013. "Financial conditions and density forecasts for US Output and inflation," Joint Research Papers 4, Centre for Central Banking Studies, Bank of England.
- Piergiorgio Alessandri & Haroon Mumtaz, 2014. "Financial conditions and density forecasts for US output and inflation," CReMFi Discussion Papers 1, CReMFi, School of Economics and Finance, QMUL.
- Piergiorgio Alessandri & Haroon Mumtaz, 2014. "Financial Conditions and Density Forecasts for US Output and Inflation," Working Papers 715, Queen Mary University of London, School of Economics and Finance.
- De Rezende, Rafael B. & Ristiniemi, Annukka, 2023.
"A shadow rate without a lower bound constraint,"
Journal of Banking & Finance, Elsevier, vol. 146(C).
- De Rezende, Rafael B. & Ristiniemi, Annukka, 2018. "A shadow rate without a lower bound constraint," Working Paper Series 355, Sveriges Riksbank (Central Bank of Sweden).
- B De Rezende, Rafael & Ristiniemi, Annukka, 2020. "A shadow rate without a lower bound constraint," Bank of England working papers 864, Bank of England.
- Jari Hännikäinen, 2017.
"The shadow rate as a predictor of real activity and inflation: evidence from a data-rich environment,"
Applied Economics Letters, Taylor & Francis Journals, vol. 24(8), pages 527-535, May.
- Hännikäinen Jari, 2016. "The shadow rate as a predictor of real activity and inflation: Evidence from a data-rich environment," Working Papers 1606, Tampere University, Faculty of Management and Business, Economics.
- Hännikäinen, Jari, 2016. "The shadow rate as a predictor of real activity and inflation: Evidence from a data-rich environment," MPRA Paper 71432, University Library of Munich, Germany.
- Canova, Fabio, 2007. "G-7 Inflation Forecasts: Random Walk, Phillips Curve Or What Else?," Macroeconomic Dynamics, Cambridge University Press, vol. 11(1), pages 1-30, February.
- Salisu, Afees A. & Isah, Kazeem O., 2018.
"Predicting US inflation: Evidence from a new approach,"
Economic Modelling, Elsevier, vol. 71(C), pages 134-158.
- Afees A. Salisu & Kazeem Isah, 2017. "Predicting US Inflation: Evidence from a New Approach," Working Papers 039, Centre for Econometric and Allied Research, University of Ibadan.
- Inoue, Atsushi & Kilian, Lutz, 2008. "How Useful Is Bagging in Forecasting Economic Time Series? A Case Study of U.S. Consumer Price Inflation," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 511-522, June.
- Ang, Andrew & Bekaert, Geert & Wei, Min, 2007.
"Do macro variables, asset markets, or surveys forecast inflation better?,"
Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1163-1212, May.
- Andrew Ang & Geert Bekaert & Min Wei, 2005. "Do Macro Variables, Asset Markets or Surveys Forecast Inflation Better?," NBER Working Papers 11538, National Bureau of Economic Research, Inc.
- Andrew Ang & Geert Bekaert & Min Wei, 2006. "Do macro variables, asset markets, or surveys forecast inflation better?," Finance and Economics Discussion Series 2006-15, Board of Governors of the Federal Reserve System (U.S.).
- Piergiorgio Alessandri & Haroon Mumtaz, 2017.
"Financial conditions and density forecasts for US output and inflation,"
Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 24, pages 66-78, March.
- Piergiorgio Alessandri & Haroon Mumtaz, 2017. "Online Appendix to "Financial conditions and density forecasts for US output and inflation"," Online Appendices 14-103, Review of Economic Dynamics.
- Wagner Piazza Gaglianone & Luiz Renato Lima, 2014.
"Constructing Optimal Density Forecasts From Point Forecast Combinations,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 736-757, August.
- Luiz Renato Regis de Oliveira Lima & Wagner Piazza Gaglianone, 2012. "Constructing Optimal Density Forecasts from Point Forecast Combinations," Série Textos para Discussão (Working Papers) 5, Programa de Pós-Graduação em Economia - PPGE, Universidade Federal da Paraíba.
- Bernanke, Ben S. & Boivin, Jean, 2003.
"Monetary policy in a data-rich environment,"
Journal of Monetary Economics, Elsevier, vol. 50(3), pages 525-546, April.
- Ben S. Bernanke & Jean Boivin, 2001. "Monetary Policy in a Data-Rich Environment," NBER Working Papers 8379, National Bureau of Economic Research, Inc.
- Svensson, Lars E O, 1994. "Estimating and Interpreting Forward Interest Rates: Sweden 1992-4," CEPR Discussion Papers 1051, C.E.P.R. Discussion Papers.
- Jing Cynthia Wu & Fan Dora Xia, 2016.
"Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, March.
- Jing Cynthia Wu & Fan Dora Xia, 2014. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," NBER Working Papers 20117, National Bureau of Economic Research, Inc.
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Jack Fosten, 2017. "Revisiting Targeted Factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(2), pages 207-216, March.
- Sandra Eickmeier & Christina Ziegler, 2008. "How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 237-265.
- O. De Bandt & E. Michaux & C. Bruneau & A. Flageollet, 2007.
"Forecasting inflation using economic indicators: the case of France,"
Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(1), pages 1-22.
- Bruneau, C. & De Bandt, O. & Flageollet, A. & Michaux, E., 2003. "Forecasting Inflation using Economic Indicators: the Case of France," Working papers 101, Banque de France.
- Boivin, Jean & Ng, Serena, 2006.
"Are more data always better for factor analysis?,"
Journal of Econometrics, Elsevier, vol. 132(1), pages 169-194, May.
- Jean Boivin & Serena Ng, 2003. "Are More Data Always Better for Factor Analysis?," NBER Working Papers 9829, National Bureau of Economic Research, Inc.
- Fushang Liu & Kajal Lahiri, 2006.
"Modelling multi-period inflation uncertainty using a panel of density forecasts,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1199-1219.
- Kajal Lahiri & Fushang Liu, 2006. "Modelling multi‐period inflation uncertainty using a panel of density forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1199-1219, December.
- Kajal Lahiri & Fushang Liu, 2006. "Modeling Multi-Period Inflation Uncertainty Using a Panel of Density Forcasts," Discussion Papers 06-05, University at Albany, SUNY, Department of Economics.
- Junttila, Juha, 2001. "Structural breaks, ARIMA model and Finnish inflation forecasts," International Journal of Forecasting, Elsevier, vol. 17(2), pages 203-230.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Aaron Mehrotra & José Sánchez-Fung, 2008.
"Forecasting inflation in China,"
China Economic Journal, Taylor & Francis Journals, vol. 1(3), pages 317-322.
- Mehrotra, Aaron & Sánchez-Fung, José R., 2008. "Forecasting inflation in China," BOFIT Discussion Papers 2/2008, Bank of Finland Institute for Emerging Economies (BOFIT).
- Jan J. J. Groen & Richard Paap & Francesco Ravazzolo, 2013.
"Real-Time Inflation Forecasting in a Changing World,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 31(1), pages 29-44, January.
- Groen, J.J.J. & Paap, R., 2009. "Real-time inflation forecasting in a changing world," Econometric Institute Research Papers EI 2009-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Jan J. J. Groen & Richard Paap & Francesco Ravazzolo, 2009. "Real-time inflation forecasting in a changing world," Staff Reports 388, Federal Reserve Bank of New York.
- Jan J. J. Groen & Richard Paap & Francesco Ravazzolo, 2009. "Real-Time Inflation Forecasting in a Changing World," Working Paper 2009/16, Norges Bank.
- Hall, Stephen G. & Mitchell, James, 2007. "Combining density forecasts," International Journal of Forecasting, Elsevier, vol. 23(1), pages 1-13.
- Schmidt, Sebastian, 2016. "The effective lower bound: some implications for inflation dynamics beyond the current low interest rate environment," Research Bulletin, European Central Bank, vol. 29.
- Robert Rich & Joseph Tracy, 2010. "The Relationships among Expected Inflation, Disagreement, and Uncertainty: Evidence from Matched Point and Density Forecasts," The Review of Economics and Statistics, MIT Press, vol. 92(1), pages 200-207, February.
- Gurkaynak, Refet S. & Sack, Brian & Wright, Jonathan H., 2007.
"The U.S. Treasury yield curve: 1961 to the present,"
Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2291-2304, November.
- Refet S. Gürkaynak & Brian P. Sack & Jonathan H. Wright, 2006. "The U.S. Treasury yield curve: 1961 to the present," Finance and Economics Discussion Series 2006-28, Board of Governors of the Federal Reserve System (U.S.).
- Laurence Ball & Stephen G. Cecchetti, 1990. "Inflation and Uncertainty at Long and Short Horizons," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 21(1), pages 215-254.
- Bai, Jushan & Ng, Serena, 2008. "Forecasting economic time series using targeted predictors," Journal of Econometrics, Elsevier, vol. 146(2), pages 304-317, October.
- Salisu, Afees A. & Isah, Kazeem O., 2018.
"Predicting US inflation: Evidence from a new approach,"
Economic Modelling, Elsevier, vol. 71(C), pages 134-158.
- Afees A. Salisu & Kazeem Isah, 2017. "Predicting US CPI-Inflation in the presence of asymmetries, persistence, endogeneity, and conditional heteroscedasticity," Working Papers 026, Centre for Econometric and Allied Research, University of Ibadan.
- Pilar Poncela & Eva Senra, 2006. "A two factor model to combine US inflation forecasts," Applied Economics, Taylor & Francis Journals, vol. 38(18), pages 2191-2197.
- Harvey, David & Leybourne, Stephen & Newbold, Paul, 1997. "Testing the equality of prediction mean squared errors," International Journal of Forecasting, Elsevier, vol. 13(2), pages 281-291, June.
- 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.
- Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
- repec:zbw:bofitp:2008_002 is not listed on IDEAS
- Leo Krippner, 2015. "A comment on Wu and Xia (2015), and the case for two-factor Shadow Short Rates," CAMA Working Papers 2015-48, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Kuusela, Annika & Hännikäinen, Jari, 2017. "What do the shadow rates tell us about future inflation?," MPRA Paper 80542, University Library of Munich, Germany.
- Juuso Kaaresvirta & Aaron Mehrotra, 2009.
"Business surveys and inflation forecasting in China,"
Economic Change and Restructuring, Springer, vol. 42(4), pages 263-271, November.
- Kaaresvirta, Juuso & Mehrotra, Aaron, 2008. "Business surveys and inflation forecasting in China," BOFIT Discussion Papers 22/2008, Bank of Finland Institute for Emerging Economies (BOFIT).
- Davor Kunovac, 2007. "Factor Model Forecasting of Inflation in Croatia," Financial Theory and Practice, Institute of Public Finance, vol. 31(4), pages 371-393.
- Hibiki Ichiue & Yoichi Ueno, 2018. "A Survey-based Shadow Rate and Unconventional Monetary Policy Effects," IMES Discussion Paper Series 18-E-05, Institute for Monetary and Economic Studies, Bank of Japan.
- repec:ecb:ecbrbu:2016:0029:1 is not listed on IDEAS
- Döpke, Jörg & Fritsche, Ulrich & Müller, Karsten, 2019. "Has macroeconomic forecasting changed after the Great Recession? Panel-based evidence on forecast accuracy and forecaster behavior from Germany," Journal of Macroeconomics, Elsevier, vol. 62(C).
- Sebastian Schmidt, 2016. "The effective lower bound: some implications for inflation dynamics beyond the current low interest rate environment," Research Bulletin, European Central Bank, vol. 29.
- Andrew Atkeson & Lee E. Ohanian, 2001. "Are Phillips curves useful for forecasting inflation?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 25(Win), pages 2-11.
- Michael D. Bauer & Glenn D. Rudebusch, 2016.
"Monetary Policy Expectations at the Zero Lower Bound,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(7), pages 1439-1465, October.
- Michael D. Bauer & Glenn D. Rudebusch, 2013. "Monetary Policy Expectations at the Zero Lower Bound," Working Paper Series 2013-18, Federal Reserve Bank of San Francisco.
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Cited by:
- Christina Anderl & Guglielmo Maria Caporale, 2023.
"Shadow rates as a measure of the monetary policy stance: Some international evidence,"
Scottish Journal of Political Economy, Scottish Economic Society, vol. 70(5), pages 399-422, November.
- Christina Anderl & Guglielmo Maria Caporale, 2022. "Shadow Rates as a Measure of the Monetary Policy Stance: Some International Evidence," CESifo Working Paper Series 9839, CESifo.
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More about this item
Keywords
shadow interest rates; zero lower bound; inflation forecasting; density forecasts;All these keywords.
JEL classification:
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
- E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CBA-2022-05-16 (Central Banking)
- NEP-EEC-2022-05-16 (European Economics)
- NEP-FOR-2022-05-16 (Forecasting)
- NEP-MAC-2022-05-16 (Macroeconomics)
- NEP-MON-2022-05-16 (Monetary Economics)
Statistics
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