Forecasting CPI inflation under economic policy and geopolitical uncertainties
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DOI: 10.1016/j.ijforecast.2024.08.005
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- Ball, Laurence & Chari, Anusha & Mishra, Prachi, 2016.
"Understanding Inflation in India,"
India Policy Forum, National Council of Applied Economic Research, vol. 12(1), pages 1-45.
- Laurence Ball & Anusha Chari & Prachi Mishra, 2016. "Understanding Inflation in India," NBER Working Papers 22948, National Bureau of Economic Research, Inc.
- Laurence Ball & Sandeep Mazumder, 2019.
"A Phillips Curve with Anchored Expectations and Short‐Term Unemployment,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(1), pages 111-137, February.
- Laurence Ball & Sandeep Mazumder, 2014. "A Phillips Curve with Anchored Expectations and Short-Term Unemployment," NBER Working Papers 20715, National Bureau of Economic Research, Inc.
- Laurence M. Ball & Mr. Sandeep Mazumder, 2015. "A Phillips Curve with Anchored Expectations and Short-Term Unemployment," IMF Working Papers 2015/039, International Monetary Fund.
- Taylor, John B, 1980. "Aggregate Dynamics and Staggered Contracts," Journal of Political Economy, University of Chicago Press, vol. 88(1), pages 1-23, February.
- Alexander Doser & Ricardo Nunes & Nikhil Rao & Viacheslav Sheremirov, 2023.
"Inflation expectations and nonlinearities in the Phillips curve,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 453-471, June.
- Alexander Doser & Ricardo Nunes & Nikhil Rao & Viacheslav Sheremirov, 2017. "Inflation expectations and nonlinearities in the Phillips curve," Working Papers 17-11, Federal Reserve Bank of Boston.
- Alexander Doser & Ricardo Nunes & Nikhil Rao & Viacheslav Sheremirov, 2018. "Inflation Expectations and Nonlinearities in the Phillips Curve," School of Economics Discussion Papers 1018, School of Economics, University of Surrey.
- Barbara Rossi & Tatevik Sekhposyan, 2016.
"Forecast Rationality Tests in the Presence of Instabilities, with Applications to Federal Reserve and Survey Forecasts,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 507-532, April.
- Barbara Rossi & Tatevik Sekhposyan, 2014. "Forecast rationality tests in the presence of instabilities, with applications to Federal Reserve and survey forecasts," Economics Working Papers 1426, Department of Economics and Business, Universitat Pompeu Fabra, revised Nov 2014.
- Barbara Rossi, 2015. "Forecast Rationality Tests in the Presence of Instabilities, With Applications to Federal Reserve and Survey Forecasts," Working Papers 765, Barcelona School of Economics.
- Rossi, Barbara & Sekhposyan, Tatevik, 2016. "Forecast Rationality Tests in the Presence of Instabilities, With Applications to Federal Reserve and Survey Forecasts," CEPR Discussion Papers 11391, C.E.P.R. Discussion Papers.
- Rangarajan Chakravarty, 2020. "The New Monetary Policy Framework: What it Means," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(2), pages 457-470, June.
- Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992.
"Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?,"
Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
- Kwiatkowski, D. & Phillips, P.C.B. & Schmidt, P., 1990. "Testing the Null Hypothesis of Stationarity Against the Alternative of Unit Root : How Sure are we that Economic Time Series have a Unit Root?," Papers 8905, Michigan State - Econometrics and Economic Theory.
- Denis Kwiatkowski & Peter C.B. Phillips & Peter Schmidt, 1991. "Testing the Null Hypothesis of Stationarity Against the Alternative of a Unit Root: How Sure Are We That Economic Time Series Have a Unit Root?," Cowles Foundation Discussion Papers 979, Cowles Foundation for Research in Economics, Yale University.
- Nakamura, Emi, 2005. "Inflation forecasting using a neural network," Economics Letters, Elsevier, vol. 86(3), pages 373-378, March.
- Anna Almosova & Niek Andresen, 2023. "Nonlinear inflation forecasting with recurrent neural networks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 240-259, March.
- 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.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2022.
"How is machine learning useful for macroeconomic forecasting?,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 920-964, August.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2019. "How is Machine Learning Useful for Macroeconomic Forecasting?," CIRANO Working Papers 2019s-22, CIRANO.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & St'ephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Papers 2008.12477, arXiv.org.
- Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stephane Surprenant, 2020. "How is Machine Learning Useful for Macroeconomic Forecasting?," Working Papers 20-01, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Aug 2020.
- Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2024.
"Addressing COVID-19 Outliers in BVARs with Stochastic Volatility,"
The Review of Economics and Statistics, MIT Press, vol. 106(5), pages 1403-1417, September.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," Working Papers 21-02R, Federal Reserve Bank of Cleveland, revised 09 Aug 2021.
- Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano & Mertens, Elmar, 2022. "Addressing COVID-19 outliers in BVARs with stochastic volatility," Discussion Papers 13/2022, Deutsche Bundesbank.
- Marcellino, Massimiliano & Clark, Todd & Carriero, Andrea & Mertens, Elmar, 2021. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," CEPR Discussion Papers 15964, C.E.P.R. Discussion Papers.
- Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
- Kapur, Muneesh, 2013. "Revisiting the Phillips curve for India and inflation forecasting," Journal of Asian Economics, Elsevier, vol. 25(C), pages 17-27.
- Barry Eichengreen & Poonam Gupta, 2024.
"Inflation Targeting in India: A Further Assessment,"
Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 18(1-2), pages 7-42, February.
- Barry Eichengreen & Poonam Gupta, 2024. "Inflation Targeting in India: A Further Assessment," NCAER Working Papers 174, National Council of Applied Economic Research.
- Michael Debabrata Patra & Partha Ray, 2010. "Inflation Expectations and Monetary Policy in India: An Empirical Exploration," IMF Working Papers 2010/084, International Monetary Fund.
- Marcus Buckmann & Andreas Joseph, 2023. "An Interpretable Machine Learning Workflow with an Application to Economic Forecasting," International Journal of Central Banking, International Journal of Central Banking, vol. 19(4), pages 449-522, October.
- Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
- Jonathon Hazell & Juan Herreño & Emi Nakamura & Jón Steinsson, 2022.
"The Slope of the Phillips Curve: Evidence from U.S. States,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(3), pages 1299-1344.
- Jonathon Hazell & Juan Herreño & Emi Nakamura & Jón Steinsson, 2020. "The Slope of the Phillips Curve: Evidence from U.S. States," NBER Working Papers 28005, National Bureau of Economic Research, Inc.
- Hazell, Joe & Herreño, Juan & Nakamura, Emi & Steinsson, Jón, 2022. "The slope of the Phillips Curve: evidence from U.S. States," LSE Research Online Documents on Economics 113326, London School of Economics and Political Science, LSE Library.
- Jonathon Hazell & Juan Herreno & Emi Nakamura & Jon Steinsson, 2021. "The Slope of the Phillips Curve: Evidence from U.S. States," Working Papers 284, Princeton University, Department of Economics, Center for Economic Policy Studies..
- Sbordone, Argia M., 2002.
"Prices and unit labor costs: a new test of price stickiness,"
Journal of Monetary Economics, Elsevier, vol. 49(2), pages 265-292, March.
- Sbordone, Argia, 1998. "Prices and Unit Labor Costs: A New Test of Price Stickiness," Seminar Papers 653, Stockholm University, Institute for International Economic Studies.
- Argia M. Sbordone, 2001. "Prices and Unit Labor Costs: A New Test of Price Stickiness," Departmental Working Papers 200112, Rutgers University, Department of Economics.
- Argia M. Sbordone, 2001. "Prices and Unit Labor Costs: A New Test of Price Stickiness," Departmental Working Papers 199822, Rutgers University, Department of Economics.
- Sbordone, A.M., 1998. "Prices and Unit Labor Costs: a New Test of Price Stickiness," Papers 653, Stockholm - International Economic Studies.
- Gali, Jordi & Gertler, Mark, 1999.
"Inflation dynamics: A structural econometric analysis,"
Journal of Monetary Economics, Elsevier, vol. 44(2), pages 195-222, October.
- Jordi Galí & Mark Gertler, 1998. "Inflation dynamics: A structural econometric analysis," Economics Working Papers 341, Department of Economics and Business, Universitat Pompeu Fabra.
- Jordi Gali & Mark Gertler, 2000. "Inflation Dynamics: A Structural Econometric Analysis," NBER Working Papers 7551, National Bureau of Economic Research, Inc.
- Mohanty, Deepak & John, Joice, 2015. "Determinants of inflation in India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 86-96.
- A. W. Phillips, 1958. "The Relation Between Unemployment and the Rate of Change of Money Wage Rates in the United Kingdom, 1861–1957," Economica, London School of Economics and Political Science, vol. 25(100), pages 283-299, November.
- Annalisa Cristini & Piero Ferri, 2021. "Nonlinear models of the Phillips curve," Journal of Evolutionary Economics, Springer, vol. 31(4), pages 1129-1155, September.
- Sendhil Mullainathan & Jann Spiess, 2017. "Machine Learning: An Applied Econometric Approach," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 87-106, Spring.
- Paul, Biru Paksha, 2009. "In search of the Phillips curve for India," Journal of Asian Economics, Elsevier, vol. 20(4), pages 479-488, September.
- Shovon Sengupta & Tanujit Chakraborty & Sunny Kumar Singh, 2023. "Forecasting CPI inflation under economic policy and geopolitical uncertainties," Papers 2401.00249, arXiv.org, revised Jul 2024.
- Raffaella Giacomini & Barbara Rossi, 2010.
"Forecast comparisons in unstable environments,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 595-620.
- Giacomini, Raffaella & Rossi, Barbara, 2008. "Forecast Comparisons in Unstable Environments," Working Papers 08-04, Duke University, Department of Economics.
- James H. Stock & Mark W. Watson, 2007.
"Why Has U.S. Inflation Become Harder to Forecast?,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
- James H. Stock & Mark W. Watson, 2006. "Why Has U.S. Inflation Become Harder to Forecast?," NBER Working Papers 12324, National Bureau of Economic Research, Inc.
- Watson, Mark W., 1986. "Univariate detrending methods with stochastic trends," Journal of Monetary Economics, Elsevier, vol. 18(1), pages 49-75, July.
- Roberts, John M, 1995. "New Keynesian Economics and the Phillips Curve," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(4), pages 975-984, November.
- Michele Lenza & Giorgio E. Primiceri, 2020.
"How to Estimate a VAR after March 2020,"
NBER Working Papers
27771, National Bureau of Economic Research, Inc.
- Primiceri, Giorgio & Lenza, Michele, 2020. "How to Estimate a VAR after March 2020," CEPR Discussion Papers 15245, C.E.P.R. Discussion Papers.
- Lenza, Michele & Primiceri, Giorgio E., 2020. "How to estimate a VAR after March 2020," Working Paper Series 2461, European Central Bank.
- Kishor, N. Kundan & Pratap, Bhanu, 2023. "The Role of Inflation Targeting in Anchoring Long-Run Inflation Expectations: Evidence from India," MPRA Paper 118951, University Library of Munich, Germany.
- Mazumder, Sandeep, 2011. "The stability of the Phillips curve in India: Does the Lucas critique apply?," Journal of Asian Economics, Elsevier, vol. 22(6), pages 528-539.
- Hal R. Varian, 2014. "Big Data: New Tricks for Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 28(2), pages 3-28, Spring.
- Naveen Srinivasan & Vidya Mahambare & M. Ramachandran, 2006. "Modelling Inflation in India: A Critique of the Structuralist Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 4(2), pages 45-58, July.
- James H. Stock & Mark W. Watson, 2020. "Slack and Cyclically Sensitive Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 52(S2), pages 393-428, December.
- James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
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More about this item
Keywords
Inflation forecasting Wavelets Neural networks Empirical risk minimization Conformal prediction intervals;NEP fields
This paper has been announced in the following NEP Reports:- NEP-ETS-2025-06-09 (Econometric Time Series)
- NEP-FOR-2025-06-09 (Forecasting)
- NEP-MAC-2025-06-09 (Macroeconomics)
- NEP-MON-2025-06-09 (Monetary Economics)
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