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Boosting: Why You Can Use the HP Filter

Citations

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Cited by:

  1. Morana, Claudio, 2024. "A new macro-financial condition index for the euro area," Econometrics and Statistics, Elsevier, vol. 29(C), pages 64-87.
  2. Ye Lu & Adrian Pagan, 2023. "To Boost or Not to Boost? That is the Question," CAMA Working Papers 2023-12, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  3. Lee, Sokbae & Liao, Yuan & Seo, Myung Hwan & Shin, Youngki, 2021. "Sparse HP filter: Finding kinks in the COVID-19 contact rate," Journal of Econometrics, Elsevier, vol. 220(1), pages 158-180.
  4. Viv B. Hall & Peter Thomson, 2024. "Selecting a Boosted HP Filter for Growth Cycle Analysis Based on Maximising Sharpness," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 20(2), pages 193-217, July.
  5. Tamás Sebestyén & Zita Iloskics, 2020. "Do economic shocks spread randomly?: A topological study of the global contagion network," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-22, September.
  6. Mateusz Tomal, 2024. "A new time-varying method for club convergence analysis," Economics and Business Letters, Oviedo University Press, vol. 13(4), pages 194-202.
  7. Marek A. Dąbrowski & Dimas Mukhlas Widiantoro, 2023. "Effectiveness and conduct of macroprudential policy in Indonesia in 2003–2020: Evidence from the structural VAR models," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 13(3), pages 703-731, December.
  8. Hall, Viv B & Thomson, Peter, 2022. "A boosted HP filter for business cycle analysis: evidence from New Zealand’s small open economy," Working Paper Series 9473, Victoria University of Wellington, School of Economics and Finance.
  9. Viv B Hall & Peter Thomson, 2020. "Does Hamilton’s OLS regression provide a “better alternative†to the Hodrick-Prescott filter? A New Zealand business cycle perspective," CAMA Working Papers 2020-71, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  10. Viv B. Hall & Peter Thomson, 2021. "Does Hamilton’s OLS Regression Provide a “better alternative” to the Hodrick-Prescott Filter? A New Zealand Business Cycle Perspective," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(2), pages 151-183, November.
  11. Yves Schueler, 2024. "Filtering economic time series: On the cyclical properties of Hamilton’s regression filter and the Hodrick-Prescott filter," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 54, October.
  12. Haitham A. Al-Zoubi, 2024. "An affine model for short rates when monetary policy is path dependent," Review of Derivatives Research, Springer, vol. 27(2), pages 151-201, July.
  13. Andrián, Leandro & Hirs-Garzon, Jorge & Urrea, Ivan Leonardo & Valencia, Oscar, 2024. "Fiscal rules and economic cycles: Quality (always) Matters," European Journal of Political Economy, Elsevier, vol. 85(C).
  14. Xu, Can, 2023. "Do households react to policy uncertainty by increasing savings?," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 770-785.
  15. Mateusz Tomal, 2024. "A review of Phillips‐Sul approach‐based club convergence tests," Journal of Economic Surveys, Wiley Blackwell, vol. 38(3), pages 899-930, July.
  16. Mateusz Tomal, 2022. "Testing for overall and cluster convergence of housing rents using robust methodology: evidence from Polish provincial capitals," Empirical Economics, Springer, vol. 62(4), pages 2023-2055, April.
  17. Mei, Ziwei & Shi, Zhentao, 2024. "On LASSO for high dimensional predictive regression," Journal of Econometrics, Elsevier, vol. 242(2).
  18. Lee, Ji Hyung & Shi, Zhentao & Gao, Zhan, 2022. "On LASSO for predictive regression," Journal of Econometrics, Elsevier, vol. 229(2), pages 322-349.
  19. Carlos D. Ramirez, 2024. "The effect of economic policy uncertainty under fractional integration," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(1), pages 89-110, January.
  20. Zhang, Zuomin & Dai, Ling, 2023. "The bank loan distribution effect of government spending expansion: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 89(C).
  21. Haan, Jakob de & Jacobs, Jan P.A.M. & Zijm, Renske, 2024. "Coherence of the business cycles of prospective members of the euro area and the euro area business cycle," Economic Systems, Elsevier, vol. 48(4).
  22. Amor, Thouraya Hadj & Nouira, Ridha & Rault, Christophe & Sova, Anamaria Diana, 2023. "Real exchange rate misalignments and economic growth in Tunisia: New evidence from a threshold analysis of asymmetric adjustments," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 215-227.
  23. Wei Lin & Zhentao Shi & Yishu Wang & Ting Hin Yan, 2023. "Unfolding Beijing in a Hedonic Way," Computational Economics, Springer;Society for Computational Economics, vol. 61(1), pages 317-340, January.
  24. Nopphol Witvorapong & Chak Hung Jack Cheng, 2024. "Health care policy uncertainty and state-level employment," Empirical Economics, Springer, vol. 66(6), pages 2501-2532, June.
  25. Jacobo, Juan, 2022. "A multi time-scale theory of economic growth and cycles," Structural Change and Economic Dynamics, Elsevier, vol. 62(C), pages 143-155.
  26. Zhan Gao & Ji Hyung Lee & Ziwei Mei & Zhentao Shi, 2024. "Econometric Inference for High Dimensional Predictive Regressions," Papers 2409.10030, arXiv.org, revised Nov 2024.
  27. Viv B. Hall & Peter Thomson, 2022. "A Boosted HP Filter for Business Cycle Analysis: Evidence from New Zealand's Small Open Economy," CAMA Working Papers 2022-45, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  28. Arčabić, Vladimir & Panovska, Irina & Tica, Josip, 2024. "Business cycle synchronization and asymmetry in the European Union," Economic Modelling, Elsevier, vol. 139(C).
  29. Alberto Americo & Douglas Kiarelly Godoy de Araujo & Johannes Damp & Sjur Nilsen & Daniel Rees & Rafael Schmidt & Christian Schmieder, 2025. "Inflation cycles: evidence from international data," BIS Working Papers 1264, Bank for International Settlements.
  30. Baffes, John & Kabundi, Alain, 2023. "Commodity price shocks: Order within chaos?," Resources Policy, Elsevier, vol. 83(C).
  31. Kazeem O. Isah & Abdulkader C. Mahomedy & Elias A. Udeaja & Ojo J. Adelakun & Yusuf Yakubu & Danmecca Musa, 2022. "Revisiting the accuracy of inflation forecasts in Nigeria: The oil price–exchange rate–asymmetry perspectives," South African Journal of Economics, Economic Society of South Africa, vol. 90(3), pages 329-348, September.
  32. Moura, Alban, 2024. "Why You Should Never Use the Hodrick-Prescott Filter. A Comment on Hamilton (The Review of Economics and Statistics, 2018)," Journal of Comments and Replications in Economics (JCRE), ZBW - Leibniz Information Centre for Economics, vol. 3, pages 1-17.
  33. de Haan, Jakob & Jacobs, Jan P.A.M. & Zijm, Renske, 2024. "Coherence of output gaps in the euro area: The impact of the COVID-19 shock," European Journal of Political Economy, Elsevier, vol. 84(C).
  34. Neslihan Sakarya & Robert M. de Jong, 2022. "The spectral analysis of the Hodrick–Prescott filter," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(3), pages 479-489, May.
  35. Zihan Jin & Hiroshi Yamada, 2024. "Boosted Whittaker–Henderson Graduation," Mathematics, MDPI, vol. 12(21), pages 1-18, October.
  36. Canhong Wen & Xueqin Wang & Aijun Zhang, 2023. "ℓ 0 Trend Filtering," INFORMS Journal on Computing, INFORMS, vol. 35(6), pages 1491-1510, November.
  37. Baffes, John & Kabundi, Alain, 2024. "Do supercycles dominate commodity price movements?," Economics Letters, Elsevier, vol. 237(C).
  38. Lynda Sanderson, 2024. "Born in bad times: Economic conditions, selection and employment," Working Papers 2024/01, New Zealand Productivity Commission.
  39. Philippe Goulet Coulombe & Karin Klieber, 2025. "An Adaptive Moving Average for Macroeconomic Monitoring," Papers 2501.13222, arXiv.org.
  40. Hiroshi Yamada, 2023. "Quantile regression version of Hodrick–Prescott filter," Empirical Economics, Springer, vol. 64(4), pages 1631-1645, April.
  41. Matteo Barigozzi & Claudio Lissona & Matteo Luciani, 2024. "Measuring the Euro Area Output Gap," Finance and Economics Discussion Series 2024-099, Board of Governors of the Federal Reserve System (U.S.).
  42. Marc Wildi, 2024. "Business-Cycle Analysis and Zero-Crossings of Time Series: A Generalized Forecast Approach," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 20(2), pages 155-192, July.
  43. Melina Dritsaki & Chaido Dritsaki, 2022. "Comparison of HP Filter and the Hamilton’s Regression," Mathematics, MDPI, vol. 10(8), pages 1-18, April.
  44. Richard K. Crump & Nikolay Gospodinov & Hunter Wieman, 2023. "Sparse Trend Estimation," Staff Reports 1049, Federal Reserve Bank of New York.
  45. Dmitrij Celov & Mariarosaria Comunale, 2022. "Business Cycles in the EU: A Comprehensive Comparison Across Methods," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 99-146, Emerald Group Publishing Limited.
  46. Ziwei Mei & Peter C. B. Phillips & Zhentao Shi, 2024. "The boosted Hodrick‐Prescott filter is more general than you might think," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1260-1281, November.
  47. Simon Norden, 2024. "Output Gaps: Editor’s Introduction," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 20(2), pages 151-154, July.
  48. Shi, Zhentao & Huang, Jingyi, 2023. "Forward-selected panel data approach for program evaluation," Journal of Econometrics, Elsevier, vol. 234(2), pages 512-535.
  49. Kady Keita & Camelia Turcu, 2023. "Promoting Counter-Cyclical Fiscal Policy: Fiscal Rules Versus Institutions," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 65(4), pages 736-781, December.
  50. Hiroshi Yamada & Ruoyi Bao, 2022. "$$\ell _{1}$$ ℓ 1 Common Trend Filtering," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1005-1025, March.
  51. Giuliano Queiroz Ferreira & Leonardo Bornacki Mattos, 2022. "Regime-dependent price puzzle in the Brazilian economy: evidence from VAR and FAVAR approaches," SN Business & Economics, Springer, vol. 2(9), pages 1-28, September.
  52. Mingxuan Song & Bernhard van der Sluis & Yicong Lin, 2024. "PyTimeVar: A Python Package for Trending Time-Varying Time Series Models," Tinbergen Institute Discussion Papers 24-060/III, Tinbergen Institute.
  53. Raj Rajesh & Deba Prasad Rath, 2023. "House price convergence: evidence from India," Asia-Pacific Journal of Regional Science, Springer, vol. 7(3), pages 721-747, September.
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