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Adriana Cornea-Madeira

Personal Details

First Name:Adriana
Middle Name:
Last Name:Cornea-Madeira
Suffix:
RePEc Short-ID:pco654
[This author has chosen not to make the email address public]
https://adrianacorneamadeira.weebly.com/
ISEG University of Lisbon Department of Mathematics and CEMAPRE Rua do Quelhas 6, 1200-781 Lisboa Portugal

Affiliation

Centro de Matemática Aplicada à Previsão e Decisão Económica (CEMAPRE)
Research in Economics and Mathematics (REM)
Instituto Superior de Economia e Gestão (ISEG)
Universidade de Lisboa

Lisboa, Portugal
http://cemapre.iseg.ulisboa.pt/
RePEc:edi:cmutlpt (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Otilia Boldea & Adriana Cornea-Madeira & Alastair R. Hall, 2018. "Bootstrapping Structural Change Tests," Papers 1811.04125, arXiv.org.
  2. Adriana Cornea-Madeira & Russell Davidson, 2015. "A Parametric Bootstrap for Heavy Tailed Distributions," Post-Print hal-01456116, HAL.
  3. Karim M. Abadir & Adriana Cornea, 2012. "Approximating Moments by Nonlinear Transformations," Working Paper series 22_12, Rimini Centre for Economic Analysis.
  4. Cornea, A. & Hommes, C.H. & Massaro, D., 2012. "Behavioral Heterogeneity in U.S. Inflation Dynamics," CeNDEF Working Papers 12-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  5. Russell Davidson & Adriana Cornea, 2008. "A Refined Bootstrap For Heavy Tailed Distributions," Departmental Working Papers 2008-03, McGill University, Department of Economics.

Articles

  1. Adriana Cornea‐Madeira & João Madeira, 2022. "Econometric Analysis of Switching Expectations in UK Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 651-673, June.
  2. Adriana Cornea-Madeira & Cars Hommes & Domenico Massaro, 2019. "Behavioral Heterogeneity in U.S. Inflation Dynamics," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 288-300, April.
  3. Boldea, Otilia & Cornea-Madeira, Adriana & Hall, Alastair R., 2019. "Bootstrapping structural change tests," Journal of Econometrics, Elsevier, vol. 213(2), pages 359-397.
  4. Abadir, Karim M. & Cornea-Madeira, Adriana, 2019. "Link Of Moments Before And After Transformations, With An Application To Resampling From Fat-Tailed Distributions," Econometric Theory, Cambridge University Press, vol. 35(3), pages 630-652, June.
  5. Adriana Cornea-Madeira, 2017. "The Explicit Formula for the Hodrick-Prescott Filter in a Finite Sample," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 314-318, May.
  6. Cornea-Madeira, Adriana & Davidson, Russell, 2015. "A Parametric Bootstrap For Heavy-Tailed Distributions," Econometric Theory, Cambridge University Press, vol. 31(3), pages 449-470, June.

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.

Working papers

  1. Otilia Boldea & Adriana Cornea-Madeira & Alastair R. Hall, 2018. "Bootstrapping Structural Change Tests," Papers 1811.04125, arXiv.org.

    Cited by:

    1. Daiki Maki & Yasushi Ota, 2021. "Testing for Time-Varying Properties Under Misspecified Conditional Mean and Variance," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1167-1182, April.
    2. Rothfelder, Mario & Boldea, Otilia, 2019. "Testing for a Threshold in Models with Endogenous Regressors," Other publications TiSEM 94a7c921-f27f-43a0-82f4-4, Tilburg University, School of Economics and Management.
    3. Christis Katsouris, 2023. "Predictability Tests Robust against Parameter Instability," Papers 2307.15151, arXiv.org.
    4. Daiki Maki & Yasushi Ota, 2019. "Testing for time-varying properties under misspecified conditional mean and variance," Papers 1907.12107, arXiv.org, revised Aug 2019.
    5. Bertille Antoine & Otilia Boldea & Niccolo Zaccaria, 2024. "Efficient two-sample instrumental variable estimators with change points and near-weak identification," Papers 2406.17056, arXiv.org.

  2. Adriana Cornea-Madeira & Russell Davidson, 2015. "A Parametric Bootstrap for Heavy Tailed Distributions," Post-Print hal-01456116, HAL.

    Cited by:

    1. Giuseppe Cavaliere & S'ilvia Gonc{c}alves & Morten {O}rregaard Nielsen & Edoardo Zanelli, 2022. "Bootstrap inference in the presence of bias," Papers 2208.02028, arXiv.org, revised Nov 2023.
    2. Hill, Jonathan B. & Aguilar, Mike, 2013. "Moment condition tests for heavy tailed time series," Journal of Econometrics, Elsevier, vol. 172(2), pages 255-274.
    3. Trapani, Lorenzo, 2016. "Testing for (in)finite moments," Journal of Econometrics, Elsevier, vol. 191(1), pages 57-68.
    4. Daouia, Abdelaati & Stupfler, Gilles & Usseglio-Carleve, Antoine, 2023. "Bias-reduced and variance-corrected asymptotic Gaussian inference about extreme expectiles," TSE Working Papers 23-1444, Toulouse School of Economics (TSE), revised Nov 2023.
    5. Heiler, Phillip & Kazak, Ekaterina, 2021. "Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores," Journal of Econometrics, Elsevier, vol. 222(2), pages 1083-1108.
    6. Li, Ming & Li, Jia-Yue, 2017. "Generalized Cauchy model of sea level fluctuations with long-range dependence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 309-335.
    7. Dewitte, Ruben, 2020. "From Heavy-Tailed Micro to Macro: on the characterization of firm-level heterogeneity and its aggregation properties," MPRA Paper 103170, University Library of Munich, Germany.

  3. Cornea, A. & Hommes, C.H. & Massaro, D., 2012. "Behavioral Heterogeneity in U.S. Inflation Dynamics," CeNDEF Working Papers 12-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

    Cited by:

    1. Jang, Tae-Seok & Sacht, Stephen, 2017. "Modeling consumer confidence and its role for expectation formation: A horse race," Economics Working Papers 2017-04, Christian-Albrechts-University of Kiel, Department of Economics.
    2. De Grauwe, Paul & Gerba, Eddie, 2018. "The role of cognitive limitations and heterogeneous expectations for aggregate production and credit cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 206-236.
    3. Afsar, Atahan & Gallegos, José-Elías & Jaimes, Richard & Silgado-Gómez, Edgar, 2024. "A behavioral hybrid New Keynesian model: Quantifying the importance of belief formation frictions," Economic Modelling, Elsevier, vol. 132(C).
    4. Mikael Bask & João Madeira, 2021. "Extrapolative expectations and macroeconomic dynamics: Evidence from an estimated DSGE model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1101-1111, January.
    5. Francesco Salsano, 2022. "Monetary policy when the objectives of central bankers are imperfectly observable," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(4), pages 396-415, September.
    6. de Grauwe, Paul & Macchiarelli, Corrado, 2015. "Animal spirits and credit cycles," LSE Research Online Documents on Economics 63984, London School of Economics and Political Science, LSE Library.
    7. Matthijs Lof, 2015. "Rational Speculators, Contrarians, and Excess Volatility," Management Science, INFORMS, vol. 61(8), pages 1889-1901, August.
    8. Hagenhoff, Tim & Lustenhouwer, Joep, 2019. "The Rationality Bias," BERG Working Paper Series 144, Bamberg University, Bamberg Economic Research Group.
    9. Bulutay, Muhammed & Cornand, Camille & Zylbersztejn, Adam, 2022. "Learning to deal with repeated shocks under strategic complementarity: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 1318-1343.
    10. Jang, Tae-Seok & Sacht, Stephen, 2014. "Animal spirits and the business cycle: Empirical evidence from moment matching," Economics Working Papers 2014-06, Christian-Albrechts-University of Kiel, Department of Economics.
    11. Cars Hommes & Anita Kopányi-Peuker & Joep Sonnemans, "undated". "Bubbles, crashes and information contagion in large-group asset market experiments," Tinbergen Institute Discussion Papers 19-016/II, Tinbergen Institute.
    12. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2020. "Bounded rationality and heterogeneous expectations: Euler versus anticipated-utility approach," Journal of Economics, Springer, vol. 130(3), pages 249-273, August.
    13. Pfajfar, D., 2012. "Formation of Rationally Heterogeneous Expectations," Discussion Paper 2012-083, Tilburg University, Center for Economic Research.
    14. Hommes, Cars & Lustenhouwer, Joep, 2019. "Inflation targeting and liquidity traps under endogenous credibility," Journal of Monetary Economics, Elsevier, vol. 107(C), pages 48-62.
    15. Akvile Bertasiute & Domenico Massaro & Matthias Weber, 2019. "The Behavioral Economics of Currency Unions: Economic Integration and Monetary Policy," Working Papers on Finance 1916, University of St. Gallen, School of Finance.
    16. Bolt, W. & Demertzis, D. & Diks, C.G.H. & Van der Leij, M.J., 2014. "Identifying Booms and Busts in House Prices under Heterogeneous Expectations," CeNDEF Working Papers 14-13, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    17. Jump, Robert Calvert & Levine, Paul, 2019. "Behavioural New Keynesian models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 59-77.
    18. Adriana Cornea‐Madeira & João Madeira, 2022. "Econometric Analysis of Switching Expectations in UK Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 651-673, June.
    19. Paul Hubert & Harun Mirza, 2014. "Inflation expectation dynamics: the role of past present and forward looking information," Working Papers hal-03473828, HAL.
    20. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    21. Hagenhoff, Tim & Lustenhouwer, Joep, 2020. "The role of stickiness, extrapolation and past consensus forecasts in macroeconomic expectations," BERG Working Paper Series 163, Bamberg University, Bamberg Economic Research Group.
    22. Baur, Dirk G. & Glover, Kristoffer J., 2014. "Heterogeneous expectations in the gold market: Specification and estimation," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 116-133.
    23. Cavalli, F. & Chen, H.-J. & Li, M.-C. & Naimzada, A. & Pecora, N., 2023. "Heterogeneous expectations and equilibria selection in an evolutionary overlapping generations model," Journal of Mathematical Economics, Elsevier, vol. 104(C).
    24. Tiziana Assenza & Peter Heemeijer & Cars Hommes & Domenico Massaro, 2013. "Individual Expectations and Aggregate Macro Behavior," Tinbergen Institute Discussion Papers 13-016/II, Tinbergen Institute.
    25. Saskia ter Ellen & Cars H. Hommes & Remco C.J. Zwinkels, 2017. "Comparing behavioural heterogeneity across asset classes," Working Paper 2017/12, Norges Bank.
    26. Jang, Tae-Seok & Sacht, Stephen, 2021. "Forecast heuristics, consumer expectations, and New-Keynesian macroeconomics: A Horse race," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 493-511.
    27. de Grauwe, Paul & Gerba, Eddie, 2015. "Stock market cycles and supply side dynamics," FinMaP-Working Papers 45, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    28. Hommes, Cars & Makarewicz, Tomasz, 2021. "Price level versus inflation targeting under heterogeneous expectations: a laboratory experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 39-82.
    29. Cars Hommes & Tomasz Makarewicz & Domenico Massaro & Tom Smits, 2017. "Genetic algorithm learning in a New Keynesian macroeconomic setup," Journal of Evolutionary Economics, Springer, vol. 27(5), pages 1133-1155, November.
    30. Lustenhouwer, Joep & Hagenhoff, Tim, 2019. "The Rationality Bias," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203553, Verein für Socialpolitik / German Economic Association.
    31. Olena Kostyshyna & Tolga Özden & Yang Zhang, 2024. "Endogenous Credibility and Wage-Price Spirals," Staff Working Papers 24-14, Bank of Canada.
    32. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heterogeneous Dynamic Heuristic Selection," CRETA Online Discussion Paper Series 73, Centre for Research in Economic Theory and its Applications CRETA.
    33. Jang, Tae-Seok & Sacht, Stephen, 2018. "Macroeconomic dynamics under bounded rationality: On the impact of consumers' forecast heuristics," Economics Working Papers 2018-10, Christian-Albrechts-University of Kiel, Department of Economics.
    34. Orland, Andreas & Roos, Michael W. M., 2011. "The New Keynesian Phillips Curve with Myopic Agents," Ruhr Economic Papers 281, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    35. Carola Conces Binder, 2021. "Central Bank Communication and Disagreement about the Natural Rate Hypothesis," International Journal of Central Banking, International Journal of Central Banking, vol. 17(2), pages 81-123, June.
    36. Hagenhoff, Tim & Lustenhouwer, Joep, 2020. "The role of stickiness, extrapolation and past consensus forecasts in macroeconomic expectations," Working Papers 0686, University of Heidelberg, Department of Economics.
    37. Kukacka, Jiri & Barunik, Jozef, 2016. "Estimation of financial agent-based models with simulated maximum likelihood," FinMaP-Working Papers 63, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    38. Paul Hubert & Harun Mirza, 2019. "The role of forward- and backward-looking information for inflation expectations formation," Post-Print hal-03403616, HAL.
    39. Anufriev, Mikhail & Chernulich, Aleksei & Tuinstra, Jan, 2018. "A laboratory experiment on the heuristic switching model," Journal of Economic Dynamics and Control, Elsevier, vol. 91(C), pages 21-42.
    40. de Grauwe, Paul & Gerba, Eddie, 2017. "Monetary transmission under competing corporate finance regimes = Transmisión monetaria bajo regímenes alternativos de finanzas corporativas," LSE Research Online Documents on Economics 67658, London School of Economics and Political Science, LSE Library.
    41. Tiziana Assenza & William Brock & Cars Hommes, 2013. "Animal Spirits, Heterogeneous Expectations and the Emergence of Booms and Busts," DISCE - Working Papers del Dipartimento di Economia e Finanza def007, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    42. Gasteiger, Emanuel & Grimaud, Alex, 2023. "Price setting frequency and the Phillips curve," European Economic Review, Elsevier, vol. 158(C).
    43. Tomura, Hajime, 2013. "Heterogeneous beliefs and housing-market boom-bust cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 37(4), pages 735-755.
    44. Mattia Guerini, 2013. "Is the Friedman Rule Stabilizing? Some Unpleasant Results in a Heterogeneous Expectations Framework," DISCE - Working Papers del Dipartimento di Economia e Finanza def003, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    45. Yingying Xu & Zhixin Liu & Xing Zhang, 2017. "Heterogeneous Or Homogeneous Inflation Expectation Formation Models: A Case Study Of Chinese Households And Financial Participants," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(04), pages 859-874, September.
    46. Kukacka, Jiri & Sacht, Stephen, 2021. "Estimation of Heuristic Switching in Behavioral Macroeconomic Models," Economics Working Papers 2021-01, Christian-Albrechts-University of Kiel, Department of Economics.
    47. Pecora, Nicolò & Spelta, Alessandro, 2017. "Managing monetary policy in a New Keynesian model with many beliefs types," Economics Letters, Elsevier, vol. 150(C), pages 53-58.
    48. Serkov, Leonid & Krasnykh, Sergey, 2022. "Analysis of the external shocks impact on the behavior of agents with limited expectations: The case of Russian economy," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 67, pages 97-120.
    49. Chernulich, Aleksei, 2021. "Modelling reference dependence for repeated choices: A horse race between models of normalisation," Journal of Economic Psychology, Elsevier, vol. 87(C).
    50. Lof, Matthijs, 2013. "Essays on Expectations and the Econometrics of Asset Pricing," MPRA Paper 59064, University Library of Munich, Germany.
    51. Hagenhoff, Tim & Lustenhouwer, Joep, 2023. "The role of stickiness, extrapolation and past consensus forecasts in macroeconomic expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 149(C).
    52. Assenza, T. & Brock, W.A. & Hommes, C.H., 2012. "Animal Spirits, Heterogeneous Expectations and the Amplification and Duration of Crises," CeNDEF Working Papers 12-07, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    53. De Grauwe, Paul & Ji, Yuemei, 2020. "Structural reforms, animal spirits and monetary policies," LSE Research Online Documents on Economics 103502, London School of Economics and Political Science, LSE Library.
    54. Hommes, Cars & Lustenhouwer, Joep, 2019. "Managing unanchored, heterogeneous expectations and liquidity traps," Journal of Economic Dynamics and Control, Elsevier, vol. 101(C), pages 1-16.
    55. Domenico Colucci & Matteo Vigna & Vincenzo Valori, 2022. "Large and uncertain heterogeneity of expectations: stability of equilibrium from a policy maker standpoint," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 17(1), pages 319-348, January.
    56. Branch, William A. & Gasteiger, Emanuel, 2019. "Endogenously (non-)Ricardian beliefs," ECON WPS - Working Papers in Economic Theory and Policy 03/2019, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    57. Galanis, Giorgos & Kollias, Iraklis & Leventidis, Ioanis & Lustenhouwer, Joep, 2022. "Generalizing Heuristic Switching Models," Working Papers 0715, University of Heidelberg, Department of Economics.
    58. Debes, Sebastian & Gareis, Johannes & Mayer, Eric & Rüth, Sebastian, 2014. "Towards a consumer sentiment channel of monetary policy," W.E.P. - Würzburg Economic Papers 91, University of Würzburg, Department of Economics.
    59. Saskia ter Ellen & Willem F. C. Verschoor, 2018. "Heterogeneous Beliefs and Asset Price Dynamics: A Survey of Recent Evidence," Dynamic Modeling and Econometrics in Economics and Finance, in: Fredj Jawadi (ed.), Uncertainty, Expectations and Asset Price Dynamics, pages 53-79, Springer.
    60. Yingying Xu & Zhixin Liu & Jingjing Chen & Sultan Salem, 2024. "How official TV news affect public inflation expectations? Evidence from the Chinese national broadcaster China Central Television," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 819-831, January.
    61. Anufriev, M. & Tuinstra, J. & Bao, T., 2013. "Fund Choice Behavior and Estimation of Switching Models: An Experiment," CeNDEF Working Papers 13-04, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.

  4. Russell Davidson & Adriana Cornea, 2008. "A Refined Bootstrap For Heavy Tailed Distributions," Departmental Working Papers 2008-03, McGill University, Department of Economics.

    Cited by:

    1. Rachidi Kotchoni, 2012. "Applications of the Characteristic Function Based Continuum GMM in Finance," Post-Print hal-00867795, HAL.

Articles

  1. Adriana Cornea-Madeira & Cars Hommes & Domenico Massaro, 2019. "Behavioral Heterogeneity in U.S. Inflation Dynamics," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 288-300, April.
    See citations under working paper version above.
  2. Boldea, Otilia & Cornea-Madeira, Adriana & Hall, Alastair R., 2019. "Bootstrapping structural change tests," Journal of Econometrics, Elsevier, vol. 213(2), pages 359-397.
    See citations under working paper version above.
  3. Adriana Cornea-Madeira, 2017. "The Explicit Formula for the Hodrick-Prescott Filter in a Finite Sample," The Review of Economics and Statistics, MIT Press, vol. 99(2), pages 314-318, May.

    Cited by:

    1. Mikael Bask & João Madeira, 2021. "Extrapolative expectations and macroeconomic dynamics: Evidence from an estimated DSGE model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1101-1111, January.
    2. Peter C. B. Phillips & Zhentao Shi, 2021. "Boosting: Why You Can Use The Hp Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 62(2), pages 521-570, May.
    3. Kristian Jönsson, 2020. "Real-time US GDP gap properties using Hamilton’s regression-based filter," Empirical Economics, Springer, vol. 59(1), pages 307-314, July.
    4. Peter C.B. Phillips & Zhentao Shi, 2019. "Boosting the Hodrick-Prescott Filter," Cowles Foundation Discussion Papers 2192, Cowles Foundation for Research in Economics, Yale University.
    5. Lee, Taehyun & Moutzouris, Ioannis C & Papapostolou, Nikos C & Fatouh, Mahmoud, 2023. "Foreign exchange hedging using regime-switching models: the case of pound sterling," Bank of England working papers 1042, Bank of England.
    6. Sokbae (Simon) Lee & Yuan Liao & Myung Hwan Seo & Youngki Shin, 2020. "Sparse HP filter: Finding kinks in the COVID-19 contact rate," CeMMAP working papers CWP32/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    7. Jylhä, Petri & Lof, Matthijs, 2022. "Mind the Basel gap," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    8. Hiroshi Yamada, 2023. "Quantile regression version of Hodrick–Prescott filter," Empirical Economics, Springer, vol. 64(4), pages 1631-1645, April.
    9. Peter C. B. Phillips & Sainan Jin, 2015. "Business Cycles, Trend Elimination, and the HP Filter," Cowles Foundation Discussion Papers 2005, Cowles Foundation for Research in Economics, Yale University.
    10. 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.
    11. Kristian Jönsson, 2020. "Cyclical Dynamics and Trend/Cycle Definitions: Comparing the HP and Hamilton Filters," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(2), pages 151-162, November.
    12. Ziwei Mei & Zhentao Shi & Peter C. B. Phillips, 2022. "The boosted HP filter is more general than you might think," Cowles Foundation Discussion Papers 2348, Cowles Foundation for Research in Economics, Yale University.
    13. Wolf, Elias & Mokinski, Frieder & Schüler, Yves, 2020. "On adjusting the one-sided Hodrick-Prescott filter," Discussion Papers 11/2020, Deutsche Bundesbank.

  4. Cornea-Madeira, Adriana & Davidson, Russell, 2015. "A Parametric Bootstrap For Heavy-Tailed Distributions," Econometric Theory, Cambridge University Press, vol. 31(3), pages 449-470, June.
    See citations under working paper version above.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (2) 2017-03-12 2019-01-07
  2. NEP-ETS: Econometric Time Series (1) 2019-01-07

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