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Irma Hindrayanto

Personal Details

First Name:Irma
Middle Name:
Last Name:Hindrayanto
Suffix:
RePEc Short-ID:phi186
https://www.dnb.nl/en/research/personal-pages/irma-hindrayanto/
Terminal Degree:2011 Afdeling Econometrie and Operations Research; School of Business and Economics; Vrije Universiteit Amsterdam (from RePEc Genealogy)

Affiliation

de Nederlandsche Bank

Amsterdam, Netherlands
http://www.dnb.nl/
RePEc:edi:dnbgvnl (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Mengheng Li & Irma Hindrayanto, 2018. "Looking for the stars: Estimating the natural rate of interest," Working Paper Series 51, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  2. Rünstler, Gerhard & Balfoussia, Hiona & Burlon, Lorenzo & Buss, Ginters & Comunale, Mariarosaria & De Backer, Bruno & Dewachter, Hans & Guarda, Paolo & Haavio, Markus & Hindrayanto, Irma & Iskrev, Nik, 2018. "Real and financial cycles in EU countries - Stylised facts and modelling implications," Occasional Paper Series 205, European Central Bank.
  3. Irma Hindrayanto & Jan P.A.M. Jacobs & Denise R. Osborn & Jing Tian, 2017. "Trend-cycle-seasonal interactions: identification and estimation," CAMA Working Papers 2017-57, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
  4. Gabriele Galati & Irma Hindrayanto & Siem Jan Koopman & Marente Vlekke, 2016. "Measuring Financial Cycles in a Model-Based Analysis: Empirical Evidence for the United States and the Euro Area," Tinbergen Institute Discussion Papers 16-029/III, Tinbergen Institute.
  5. Irma Hindrayanto & Siem Jan Koopman & Jasper de Winter, 2014. "Nowcasting and Forecasting Economic Growth in the Euro Area using Principal Components," Tinbergen Institute Discussion Papers 14-113/III, Tinbergen Institute.
  6. Irma Hindrayanto & John A.D. Aston & Siem Jan Koopman & Marius Ooms, 2010. "Modeling Trigonometric Seasonal Components for Monthly Economic Time Series," Tinbergen Institute Discussion Papers 10-018/4, Tinbergen Institute.
  7. Siem Jan Koopman & Marius Ooms & Irma Hindrayanto, 2006. "Periodic Unobserved Cycles in Seasonal Time Series with an Application to US Unemployment," Tinbergen Institute Discussion Papers 06-101/4, Tinbergen Institute.

Articles

  1. Jasper de Winter & Siem Jan Koopman & Irma Hindrayanto, 2022. "Joint Decomposition of Business and Financial Cycles: Evidence from Eight Advanced Economies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 57-79, February.
  2. Hindrayanto, Irma & Samarina, Anna & Stanga, Irina M., 2019. "Is the Phillips curve still alive? Evidence from the euro area," Economics Letters, Elsevier, vol. 174(C), pages 149-152.
  3. Hindrayanto, Irma & Jacobs, Jan P.A.M. & Osborn, Denise R. & Tian, Jing, 2019. "Trend–Cycle–Seasonal Interactions: Identification And Estimation," Macroeconomic Dynamics, Cambridge University Press, vol. 23(8), pages 3163-3188, December.
  4. Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.
  5. Galati, Gabriele & Hindrayanto, Irma & Koopman, Siem Jan & Vlekke, Marente, 2016. "Measuring financial cycles in a model-based analysis: Empirical evidence for the United States and the euro area," Economics Letters, Elsevier, vol. 145(C), pages 83-87.
  6. Irma Hindrayanto & John A.D. Aston & Siem Jan Koopman & Marius Ooms, 2013. "Modelling trigonometric seasonal components for monthly economic time series," Applied Economics, Taylor & Francis Journals, vol. 45(21), pages 3024-3034, July.
  7. Hindrayanto, Irma & Koopman, Siem Jan & Ooms, Marius, 2010. "Exact maximum likelihood estimation for non-stationary periodic time series models," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2641-2654, November.
  8. Siem Jan Koopman & Marius Ooms & Irma Hindrayanto, 2009. "Periodic Unobserved Cycles in Seasonal Time Series with an Application to US Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 683-713, October.

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. Rünstler, Gerhard & Balfoussia, Hiona & Burlon, Lorenzo & Buss, Ginters & Comunale, Mariarosaria & De Backer, Bruno & Dewachter, Hans & Guarda, Paolo & Haavio, Markus & Hindrayanto, Irma & Iskrev, Nik, 2018. "Real and financial cycles in EU countries - Stylised facts and modelling implications," Occasional Paper Series 205, European Central Bank.

    Cited by:

    1. Eyno Rots, 2018. "Business, Housing, and Credit Cycles – The Case of Hungary," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 17(4), pages 5-22.
    2. Potjagailo, Galina & Wolters, Maik H., 2019. "Global financial cycles since 1880," IMFS Working Paper Series 132, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    3. Amat Adarov, 2019. "Financial Cycles in Europe: Dynamics, Synchronicity and Implications for Business Cycles and Macroeconomic Imbalances," wiiw Working Papers 166, The Vienna Institute for International Economic Studies, wiiw.
    4. Mariarosaria Comunale & Markus Eller & Mathias Lahnsteiner, 2020. "Assessing credit gaps in CESEE based on levels justified by fundamentals – a comparison across different estimation approaches," Bank of Lithuania Working Paper Series 74, Bank of Lithuania.
    5. Ms. Aiko Mineshima & Chikako Baba & Mr. Salvatore Dell'Erba & Asghar Shahmoradi & Olamide Harrison & Anvar Musayev & Ms. Enrica Detragiache, 2020. "How Should Credit Gaps Be Measured? An Application to European Countries," IMF Working Papers 2020/006, International Monetary Fund.
    6. Filippo Gusella, 2022. "Detecting And Measuring Financial Cycles In Heterogeneous Agents Models: An Empirical Analysis," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 25(02n03), pages 1-22, March.
    7. Jasper de Winter & Siem Jan Koopman & Irma Hindrayanto, 2022. "Joint Decomposition of Business and Financial Cycles: Evidence from Eight Advanced Economies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 57-79, February.
    8. Davor Kunovac & Ivan Žilić, 2020. "Home sweet home: The effects of housing loan subsidies on the housing market in Croatia," Working Papers 60, The Croatian National Bank, Croatia.
    9. Mariarosaria Comunale & Francesco Paolo Mongelli, 2021. "Tracking growth in the euro area subject to a dimensionality problem," Applied Economics, Taylor & Francis Journals, vol. 53(57), pages 6611-6625, December.
    10. Ernest Gnan & Claudia Kwapil & Maria Teresa Valderrama, 2018. "Monetary policy after the crisis: mandates, targets, and international linkages," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q2/18, pages 8-33.
    11. Lang, Jan Hannes & Welz, Peter, 2018. "Semi-structural credit gap estimation," Working Paper Series 2194, European Central Bank.
    12. Rob Luginbuhl, 2020. "Estimation of the Financial Cycle with a Rank-Reduced Multivariate State-Space Model," CPB Discussion Paper 409, CPB Netherlands Bureau for Economic Policy Analysis.
    13. Mariarosaria Comunale & Francesco Paolo Mongelli, 2019. "Who did it? A European Detective Story. Was it Real, Financial, Monetary and/or Institutional: Tracking Growth in the Euro Area with an Atheoretical Tool," Bank of Lithuania Working Paper Series 70, Bank of Lithuania.
    14. Mandler, Martin & Scharnagl, Michael, 2022. "Financial cycles across G7 economies: A view from wavelet analysis," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    15. Jaromir Baxa & Jan Zacek, 2022. "Monetary Policy and the Financial Cycle: International Evidence," Working Papers 2022/4, Czech National Bank.
    16. Mariarosaria Comunale & Francesco Paolo Mongelli, 2019. "Euro Area Growth and European Institutional Reforms," Bank of Lithuania Occasional Paper Series 24, Bank of Lithuania.
    17. Mariarosaria Comunale & Markus Eller & Mathias Lahnsteiner, 2020. "Assessing Credit Gaps in CESEE Based on Levels Justified by Fundamentals – A Comparison Across Different Estimation Approaches (Mariarosaria Comunale, Markus Eller, Mathias Lahnsteiner)," Working Papers 229, Oesterreichische Nationalbank (Austrian Central Bank).
    18. Xin Tian & Jan Jacobs & Jakob de Haan, 2022. "Alternative Measures for the Global Financial Cycle: Do They Make a Difference?," CESifo Working Paper Series 9730, CESifo.
    19. Hiona Balfoussia & Heather D. Gibson & Dimitris Malliaropulos & Dimitris Papageorgiou, 2020. "The economic impact of pandemics: real and financial transmission channels," Working Papers 283, Bank of Greece.
    20. Davor Kunovac & Martin Mandler & Michael Scharnagl, 2018. "Financial cycles in euro area economies: a cross-country perspective," Working Papers 55, The Croatian National Bank, Croatia.
    21. Maximilien Coussin & Anne-Laure Delatte, 2019. "Les cycles financiers convergent-ils en zone euro? En phase oui, en amplitude non," La Lettre du CEPII, CEPII research center, issue 403.
    22. Jesper Pedersen, 2019. "What Are the Effects of Changes in Taxation and New Types of Mortgages on the Real Economy? The Case of Denmark during the 2000s," International Journal of Central Banking, International Journal of Central Banking, vol. 15(5), pages 47-99, December.
    23. Lenarčič, Črt, 2021. "Estimating business and financial cycles in Slovenia," MPRA Paper 109977, University Library of Munich, Germany.
    24. Mariarosaria Comunale & Dmitrij Celov, 2021. "Business cycles in the EU: A comprehensive comparison across methods," Bank of Lithuania Discussion Paper Series 26, Bank of Lithuania.
    25. Mariarosaria Comunale, 2020. "New synchronicity indices between real and financial cycles: Is there any link to structural characteristics and recessions in European Union countries?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 617-641, October.
    26. Burlon, Lorenzo & D’Imperio, Paolo, 2020. "Reliable real-time estimates of the euro-area output gap," Journal of Macroeconomics, Elsevier, vol. 64(C).
    27. Andreea Maria Muraru, 2020. "The Impact of Global Tensions on the Economic and Financial Cycle in Romania," Postmodern Openings, Editura Lumen, Department of Economics, vol. 11(3), pages 115-128, October.
    28. Paolo Guarda & Alban Moura, 2019. "Measuring real and financial cycles in Luxembourg: An unobserved components approach," BCL working papers 126, Central Bank of Luxembourg.
    29. O'Brien, Martin & Velasco, Sofia, 2020. "Unobserved components models with stochastic volatility for extracting trends and cycles in credit," Research Technical Papers 09/RT/20, Central Bank of Ireland.
    30. Scharnagl Michael & Mandler Martin, 2019. "Real and Financial Cycles in Euro Area Economies: Results from Wavelet Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(5-6), pages 895-916, October.

  2. Irma Hindrayanto & Jan P.A.M. Jacobs & Denise R. Osborn & Jing Tian, 2017. "Trend-cycle-seasonal interactions: identification and estimation," CAMA Working Papers 2017-57, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Webel, Karsten, 2022. "A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series," Discussion Papers 31/2022, Deutsche Bundesbank.
    2. Barend Abeln & Jan P.A.M. Jacobs, 2021. "COVID19 and Seasonal Adjustment," CIRANO Working Papers 2021s-05, CIRANO.
    3. Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2018. "Seasonal Quasi-Vector Autoregressive Models with an Application to Crude Oil Production and Economic Activity in the United States and Canada," UC3M Working papers. Economics 27484, Universidad Carlos III de Madrid. Departamento de Economía.

  3. Gabriele Galati & Irma Hindrayanto & Siem Jan Koopman & Marente Vlekke, 2016. "Measuring Financial Cycles in a Model-Based Analysis: Empirical Evidence for the United States and the Euro Area," Tinbergen Institute Discussion Papers 16-029/III, Tinbergen Institute.

    Cited by:

    1. Krug, Sebastian & Wohltmann, Hans-Werner, 2016. "Shadow banking, financial regulation and animal spirits: An ACE approach," Economics Working Papers 2016-08, Christian-Albrechts-University of Kiel, Department of Economics.
    2. Berger, Tino & Richter, Julia & Wong, Benjamin, 2021. "A unified approach for jointly estimating the business and financial cycle, and the role of financial factors," University of Göttingen Working Papers in Economics 415, University of Goettingen, Department of Economics.
    3. Strohsal, Till & Proaño, Christian R. & Wolters, Jürgen, 2015. "Characterizing the Financial Cycle: Evidence from a Frequency Domain Analysis," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113143, Verein für Socialpolitik / German Economic Association.
    4. Mathias Drehmann & James Yetman, 2021. "Which Credit Gap Is Better at Predicting Financial Crises? A Comparison of Univariate Filters," International Journal of Central Banking, International Journal of Central Banking, vol. 17(70), pages 1-31, October.
    5. Önundur Páll Ragnarsson & Jón Magnús Hannesson & Loftur Hreinsson, 2019. "Financial cycles as early warning indicators - Lessons from the Nordic region," Economics wp80, Department of Economics, Central bank of Iceland.
    6. Guido Bulligan & Lorenzo Burlon & Davide Delle Monache & Andrea Silvestrini, 2017. "Real and financial cycles: estimates using unobserved component models for the Italian economy," Questioni di Economia e Finanza (Occasional Papers) 382, Bank of Italy, Economic Research and International Relations Area.
    7. Jorge E. Galán & Javier Mencía, 2018. "Empirical assessment of alternative structural methods for identifying cyclical systemic risk in Europe," Working Papers 1825, Banco de España.
    8. Małgorzata Iwanicz-Drozdowska & Paola Bongini & Paweł Smaga & Bartosz Witkowski, 2019. "The role of banks in CESEE countries: exploring non-standard determinants of economic growth," Post-Communist Economies, Taylor & Francis Journals, vol. 31(3), pages 349-382, May.
    9. Schüler, Yves S. & Hiebert, Paul P. & Peltonen, Tuomas A., 2020. "Financial cycles: Characterisation and real-time measurement," Journal of International Money and Finance, Elsevier, vol. 100(C).
    10. Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
    11. Milan Christian Wet & Ilse Botha, 2022. "Constructing and Characterising the Aggregate South African Financial Cycle: A Markov Regime-Switching Approach," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(1), pages 37-67, March.
    12. Schüler, Yves S., 2020. "On the credit-to-GDP gap and spurious medium-term cycles," Economics Letters, Elsevier, vol. 192(C).
    13. Filippo Gusella & Engelbert Stockhammer, 2020. "Testing fundamentalist-momentum trader financial cycles. An empirical analysis via the Kalman filter," Working Papers PKWP2009, Post Keynesian Economics Society (PKES).
    14. Filippo Gusella, 2022. "Detecting And Measuring Financial Cycles In Heterogeneous Agents Models: An Empirical Analysis," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 25(02n03), pages 1-22, March.
    15. Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2021. "The Impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Working Papers 2021:03, Department of Economics, University of Venice "Ca' Foscari".
    16. Jasper de Winter & Siem Jan Koopman & Irma Hindrayanto, 2022. "Joint Decomposition of Business and Financial Cycles: Evidence from Eight Advanced Economies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 57-79, February.
    17. Markus Behn & Carsten Detken & Tuomas Peltonen & Willem Schudel, 2017. "Predicting Vulnerabilities in the EU Banking Sector: The Role of Global and Domestic Factors," International Journal of Central Banking, International Journal of Central Banking, vol. 13(4), pages 147-189, December.
    18. Rob Luginbuhl, 2020. "Estimation of the Financial Cycle with a Rank-Reduced Multivariate State-Space Model," CPB Discussion Paper 409, CPB Netherlands Bureau for Economic Policy Analysis.
    19. Mehdi El Herradi & Aurélien Leroy, 2022. "The rich, poor, and middle class: Banking crises and income distribution," Post-Print hal-03770620, HAL.
    20. Andrew Lee-Poy, 2018. "Characterizing the Canadian Financial Cycle with Frequency Filtering Approaches," Staff Analytical Notes 2018-34, Bank of Canada.
    21. Mandler, Martin & Scharnagl, Michael, 2022. "Financial cycles across G7 economies: A view from wavelet analysis," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    22. Siem Jan Koopman & Rutger Lit & Andre Lucas, 2016. "Model-based Business Cycle and Financial Cycle Decomposition for Europe and the U.S," Tinbergen Institute Discussion Papers 16-051/IV, Tinbergen Institute.
    23. Jaromir Baxa & Jan Zacek, 2022. "Monetary Policy and the Financial Cycle: International Evidence," Working Papers 2022/4, Czech National Bank.
    24. Borio, Claudio & Drehmann, Mathias & Xia, Fan Dora, 2020. "Forecasting recessions: the importance of the financial cycle," Journal of Macroeconomics, Elsevier, vol. 66(C).
    25. Hwang, Sun Ho & Kim, Yun Jung, 2021. "International output synchronization at different frequencies," Economic Modelling, Elsevier, vol. 104(C).
    26. Larin, Benjamin, 2016. "A Quantitative Model of Bubble-Driven Business Cycles," VfS Annual Conference 2016 (Augsburg): Demographic Change 145817, Verein für Socialpolitik / German Economic Association.
    27. Davor Kunovac & Martin Mandler & Michael Scharnagl, 2018. "Financial cycles in euro area economies: a cross-country perspective," Working Papers 55, The Croatian National Bank, Croatia.
    28. Jorge E. Galán, 2019. "Measuring credit-to-gdp gaps. The hodrick-prescott filter revisited," Occasional Papers 1906, Banco de España.
    29. Škare, Marinko & Porada-Rochoń, Małgorzata, 2020. "Multi-channel singular-spectrum analysis of financial cycles in ten developed economies for 1970–2018," Journal of Business Research, Elsevier, vol. 112(C), pages 567-575.
    30. Lenarčič, Črt, 2021. "Estimating business and financial cycles in Slovenia," MPRA Paper 109977, University Library of Munich, Germany.
    31. Cem Çakmakli & Hamza Dem I˙rcani & Sumru Altug, 2021. "Modelling of Economic and Financial Conditions for Real‐Time Prediction of Recessions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 663-685, June.
    32. Samarina, Anna & Zhang, Lu & Bezemer, Dirk, 2017. "Credit cycle coherence in the eurozone: Was there a euro effect?," Journal of International Money and Finance, Elsevier, vol. 77(C), pages 77-98.
    33. Greg Farrell & Esti Kemp, 2020. "Measuring the Financial Cycle in South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 88(2), pages 123-144, June.
    34. Harendra Behera & Saurabh Sharma, 2022. "Characterizing India’s Financial Cycle," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(2), pages 152-183, June.
    35. Paolo Guarda & Alban Moura, 2019. "Measuring real and financial cycles in Luxembourg: An unobserved components approach," BCL working papers 126, Central Bank of Luxembourg.
    36. O'Brien, Martin & Velasco, Sofia, 2020. "Unobserved components models with stochastic volatility for extracting trends and cycles in credit," Research Technical Papers 09/RT/20, Central Bank of Ireland.
    37. Malgorzata Porada - Rochon, 2020. "The Length of Financial Cycle and its Impact on Business Cycle in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1278-1290.
    38. Patrik Kupkovic & Martin Suster, 2020. "Identifying the Financial Cycle in Slovakia," Working and Discussion Papers WP 2/2020, Research Department, National Bank of Slovakia.
    39. Dutra, Tiago Mota & Dias, José Carlos & Teixeira, João C.A., 2022. "Measuring financial cycles: Empirical evidence for Germany, United Kingdom and United States of America," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 599-630.
    40. Albertazzi, Ugo & Martin, Alberto & Assouan, Emmanuelle & Tristani, Oreste & Galati, Gabriele & Vlassopoulos, Thomas & Adolf, Petra & Kok, Christoffer & Altavilla, Carlo & Lewis, Vivien & Andreeva, De, 2021. "The role of financial stability considerations in monetary policy and the interaction with macroprudential policy in the euro area," Occasional Paper Series 272, European Central Bank.
    41. Jorge E. Galán & Matías Lamas, 2019. "Beyond the LTV ratio: new macroprudential lessons from Spain," Working Papers 1931, Banco de España.
    42. Scharnagl Michael & Mandler Martin, 2019. "Real and Financial Cycles in Euro Area Economies: Results from Wavelet Analysis," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(5-6), pages 895-916, October.
    43. Jorge E. Galán & Javier Mencía, 2021. "Model-based indicators for the identification of cyclical systemic risk," Empirical Economics, Springer, vol. 61(6), pages 3179-3211, December.
    44. Benjamin Larin, 2018. "A Quantitative Model of Bubble-Driven Business Cycles," 2018 Meeting Papers 662, Society for Economic Dynamics.

  4. Irma Hindrayanto & John A.D. Aston & Siem Jan Koopman & Marius Ooms, 2010. "Modeling Trigonometric Seasonal Components for Monthly Economic Time Series," Tinbergen Institute Discussion Papers 10-018/4, Tinbergen Institute.

    Cited by:

    1. Castillo-Manzano, José I. & Pedregal, Diego J. & Pozo-Barajas, Rafael, 2016. "An econometric evaluation of the management of large-scale transport infrastructure in Spain during the great recession: Lessons for infrastructure bubbles," Economic Modelling, Elsevier, vol. 53(C), pages 302-313.

  5. Siem Jan Koopman & Marius Ooms & Irma Hindrayanto, 2006. "Periodic Unobserved Cycles in Seasonal Time Series with an Application to US Unemployment," Tinbergen Institute Discussion Papers 06-101/4, Tinbergen Institute.

    Cited by:

    1. Sergey Seleznev & Natalia Turdyeva & Ramis Khabibullin & Anna Tsvetkova, 2020. "Seasonal adjustment of the Bank of Russia Payment System financial flows data," Bank of Russia Working Paper Series wps65, Bank of Russia.
    2. Hindrayanto, Irma & Koopman, Siem Jan & Ooms, Marius, 2010. "Exact maximum likelihood estimation for non-stationary periodic time series models," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2641-2654, November.
    3. Rodrigo Barbone Gonzalez & Joaquim Lima & Leonardo Marinho, 2015. "Countercyclical Capital Buffers: bayesian estimates and alternatives focusing on credit growth," Working Papers Series 384, Central Bank of Brazil, Research Department.
    4. Rodrigo Barbone Gonzalez & Joaquim Lima & Leonardo Marinho, 2015. "Business and Financial Cycles: an estimation of cycles’ length focusing on Macroprudential Policy," Working Papers Series 385, Central Bank of Brazil, Research Department.

Articles

  1. Jasper de Winter & Siem Jan Koopman & Irma Hindrayanto, 2022. "Joint Decomposition of Business and Financial Cycles: Evidence from Eight Advanced Economies," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(1), pages 57-79, February.

    Cited by:

    1. Berger, Tino & Richter, Julia & Wong, Benjamin, 2021. "A unified approach for jointly estimating the business and financial cycle, and the role of financial factors," University of Göttingen Working Papers in Economics 415, University of Goettingen, Department of Economics.
    2. Xin Tian & Jan Jacobs & Jakob de Haan, 2022. "Alternative Measures for the Global Financial Cycle: Do They Make a Difference?," CESifo Working Paper Series 9730, CESifo.
    3. Marina Khismatullina & Michael Vogt, 2022. "Multiscale Comparison of Nonparametric Trend Curves," Papers 2209.10841, arXiv.org.

  2. Hindrayanto, Irma & Samarina, Anna & Stanga, Irina M., 2019. "Is the Phillips curve still alive? Evidence from the euro area," Economics Letters, Elsevier, vol. 174(C), pages 149-152.

    Cited by:

    1. Petar Soric & Enric Monte & Salvador Torra & Oscar Claveria, 2022. ""Density forecasts of inflation using Gaussian process regression models"," IREA Working Papers 202210, University of Barcelona, Research Institute of Applied Economics, revised Jul 2022.
    2. Marente Vlekke & Martin Mellens & Siem Jan Koopmans, 2020. "An assessment of the Phillips curve over time: evidence for the United States and the euro area," CPB Discussion Paper 416, CPB Netherlands Bureau for Economic Policy Analysis.
    3. Bańbura, Marta & Bobeica, Elena, 2023. "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
    4. Faryna, Oleksandr & Pham, Tho & Talavera, Oleksandr & Tsapin, Andriy, 2022. "Wage and unemployment: Evidence from online job vacancy data," Journal of Comparative Economics, Elsevier, vol. 50(1), pages 52-70.
    5. Conti, Antonio M., 2021. "Resurrecting the Phillips Curve in Low-Inflation Times," Economic Modelling, Elsevier, vol. 96(C), pages 172-195.
    6. Byrne, David & Zekaite, Zivile, 2020. "Non-linearity in the wage Phillips curve: Euro area analysis," Economics Letters, Elsevier, vol. 186(C).
    7. Teresa Messner & Fabio Rumler, 2020. "Langfristige Determinanten der österreichischen Inflation – die Rolle des EU-Beitritts," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1-Q2/20, pages 169-179.
    8. Koester, Gerrit & Lis, Eliza & Nickel, Christiane & Osbat, Chiara & Smets, Frank, 2021. "Understanding low inflation in the euro area from 2013 to 2019: cyclical and structural drivers," Occasional Paper Series 280, European Central Bank.

  3. Hindrayanto, Irma & Jacobs, Jan P.A.M. & Osborn, Denise R. & Tian, Jing, 2019. "Trend–Cycle–Seasonal Interactions: Identification And Estimation," Macroeconomic Dynamics, Cambridge University Press, vol. 23(8), pages 3163-3188, December.
    See citations under working paper version above.
  4. Hindrayanto, Irma & Koopman, Siem Jan & de Winter, Jasper, 2016. "Forecasting and nowcasting economic growth in the euro area using factor models," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1284-1305.

    Cited by:

    1. Francisco Corona & Graciela González-Farías & Pedro Orraca, 2017. "A dynamic factor model for the Mexican economy: are common trends useful when predicting economic activity?," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 26(1), pages 1-35, December.
    2. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    3. Giovanni Ballarin & Petros Dellaportas & Lyudmila Grigoryeva & Marcel Hirt & Sophie van Huellen & Juan-Pablo Ortega, 2022. "Reservoir Computing for Macroeconomic Forecasting with Mixed Frequency Data," Papers 2211.00363, arXiv.org.
    4. Dennis Kant & Andreas Pick & Jasper de Winter, 2022. "Nowcasting GDP using machine learning methods," Working Papers 754, DNB.
    5. Cepni, Oguzhan & Güney, I. Ethem & Swanson, Norman R., 2019. "Nowcasting and forecasting GDP in emerging markets using global financial and macroeconomic diffusion indexes," International Journal of Forecasting, Elsevier, vol. 35(2), pages 555-572.
    6. James T. E. Chapman & Ajit Desai, 2022. "Macroeconomic Predictions using Payments Data and Machine Learning," Papers 2209.00948, arXiv.org.
    7. Miranda Gualdrón, Karen Alejandra & Poncela, Pilar & Ruiz Ortega, Esther, 2021. "Dynamic factor models: does the specification matter?," DES - Working Papers. Statistics and Econometrics. WS 32210, Universidad Carlos III de Madrid. Departamento de Estadística.
    8. Caterina Schiavoni & Franz Palm & Stephan Smeekes & Jan van den Brakel, 2019. "A dynamic factor model approach to incorporate Big Data in state space models for official statistics," Papers 1901.11355, arXiv.org, revised Feb 2020.
    9. Karen Miranda & Pilar Poncela & Esther Ruiz, 2022. "Dynamic factor models: Does the specification matter?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 397-428, May.
    10. Bennedsen, Mikkel & Hillebrand, Eric & Koopman, Siem Jan, 2021. "Modeling, forecasting, and nowcasting U.S. CO2 emissions using many macroeconomic predictors," Energy Economics, Elsevier, vol. 96(C).
    11. James Chapman & Ajit Desai, 2022. "Macroeconomic Predictions Using Payments Data and Machine Learning," Staff Working Papers 22-10, Bank of Canada.

  5. Galati, Gabriele & Hindrayanto, Irma & Koopman, Siem Jan & Vlekke, Marente, 2016. "Measuring financial cycles in a model-based analysis: Empirical evidence for the United States and the euro area," Economics Letters, Elsevier, vol. 145(C), pages 83-87.
    See citations under working paper version above.
  6. Irma Hindrayanto & John A.D. Aston & Siem Jan Koopman & Marius Ooms, 2013. "Modelling trigonometric seasonal components for monthly economic time series," Applied Economics, Taylor & Francis Journals, vol. 45(21), pages 3024-3034, July.
    See citations under working paper version above.
  7. Hindrayanto, Irma & Koopman, Siem Jan & Ooms, Marius, 2010. "Exact maximum likelihood estimation for non-stationary periodic time series models," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2641-2654, November.

    Cited by:

    1. Abdelkamel Alj & Christophe Ley & Guy Melard, 2015. "Asymptotic Properties of QML Estimators for VARMA Models with Time-Dependent Coefficients: Part I," Working Papers ECARES ECARES 2015-21, ULB -- Universite Libre de Bruxelles.
    2. Dordonnat, Virginie & Koopman, Siem Jan & Ooms, Marius, 2012. "Dynamic factors in periodic time-varying regressions with an application to hourly electricity load modelling," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3134-3152.
    3. Alj, Abdelkamel & Jónasson, Kristján & Mélard, Guy, 2016. "The exact Gaussian likelihood estimation of time-dependent VARMA models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 633-644.
    4. Milenković, Miloš S. & Bojović, Nebojša J. & Švadlenka, Libor & Melichar, Vlastimil, 2015. "A stochastic model predictive control to heterogeneous rail freight car fleet sizing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 162-198.
    5. Bos, Charles S. & Koopman, Siem Jan & Ooms, Marius, 2014. "Long memory with stochastic variance model: A recursive analysis for US inflation," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 144-157.
    6. Boshnakov, Georgi N. & Lambert-Lacroix, Sophie, 2012. "A periodic Levinson-Durbin algorithm for entropy maximization," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 15-24, January.
    7. Thornton, Michael A., 2013. "Removing seasonality under a changing regime: Filtering new car sales," Computational Statistics & Data Analysis, Elsevier, vol. 58(C), pages 4-14.

  8. Siem Jan Koopman & Marius Ooms & Irma Hindrayanto, 2009. "Periodic Unobserved Cycles in Seasonal Time Series with an Application to US Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(5), pages 683-713, October.
    See citations under working paper version above.

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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 7 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 (3) 2007-01-23 2011-02-26 2017-09-10
  2. NEP-ETS: Econometric Time Series (3) 2007-01-23 2011-02-26 2017-09-10
  3. NEP-FOR: Forecasting (3) 2007-01-23 2014-09-05 2015-04-25
  4. NEP-BEC: Business Economics (2) 2007-01-23 2016-05-08
  5. NEP-EEC: European Economics (2) 2014-09-05 2015-04-25
  6. NEP-BAN: Banking (1) 2016-05-08
  7. NEP-CBA: Central Banking (1) 2018-12-24
  8. NEP-PKE: Post Keynesian Economics (1) 2016-05-08
  9. NEP-URE: Urban & Real Estate Economics (1) 2018-03-26

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