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Bent Jesper Christensen

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. Bent Jesper Christensen & Malene Kallestrup-Lamb & John Kennan, 2022. "Consumption and Saving after Retirement," NBER Working Papers 29826, National Bureau of Economic Research, Inc.

    Cited by:

    1. Giulio Fella & Martin B. Holm & Thomas Michael Pugh, 2024. "Saving after Retirement and Preferences for Residual Wealth," Staff Working Papers 24-21, Bank of Canada.
    2. Siha Lee & Kegon Teng Kok Tan, 2023. "Bequest Motives and the Social Security Notch," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 888-914, December.

  2. Bent Jesper Christensen & Juan Carlos Parra-Alvarez & Rafael Serrano, 2020. "Optimal control of investment, premium and deductible for a non-life insurance company," CREATES Research Papers 2020-11, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Yan, Tingjin & Park, Kyunghyun & Wong, Hoi Ying, 2022. "Irreversible reinsurance: A singular control approach," Insurance: Mathematics and Economics, Elsevier, vol. 107(C), pages 326-348.

  3. Daniel Borup & Bent Jesper Christensen & Nicolaj N. Mühlbach & Mikkel S. Nielsen, 2020. "Targeting predictors in random forest regression," CREATES Research Papers 2020-03, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Sana Gaied Chortane & Kamel Naoui, 2022. "Information Entropy Theory and Asset Valuation: A Literature Survey," International Journal of Accounting, Business and Finance, Indian Accounting Association, Patna Branch, vol. 2(1), pages 42-60.
    2. Philippe Goulet Coulombe, 2020. "The Macroeconomy as a Random Forest," Papers 2006.12724, arXiv.org, revised Mar 2021.
    3. Goulet Coulombe, Philippe & Leroux, Maxime & Stevanovic, Dalibor & Surprenant, Stéphane, 2021. "Macroeconomic data transformations matter," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1338-1354.
    4. Daniel Goller & Tamara Harrer & Michael Lechner & Joachim Wolff, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Papers 2106.10141, arXiv.org, revised May 2023.
    5. Goller, Daniel & Heiniger, Sandro, 2022. "A general framework to quantify the event importance in multi-event contests," Economics Working Paper Series 2204, University of St. Gallen, School of Economics and Political Science.
    6. Eleni Kalamara & Arthur Turrell & Chris Redl & George Kapetanios & Sujit Kapadia, 2020. "Making text count: economic forecasting using newspaper text," Bank of England working papers 865, Bank of England.
    7. James G. MacKinnon & Morten Ø. Nielsen & Matthew D. Webb, 2019. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," Working Paper 1415, Economics Department, Queen's University.
    8. Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2020. "Machine Learning Advances for Time Series Forecasting," Papers 2012.12802, arXiv.org, revised Apr 2021.
    9. Philippe Goulet Coulombe & Maximilian Goebel & Karin Klieber, 2024. "Dual Interpretation of Machine Learning Forecasts," Papers 2412.13076, arXiv.org.
    10. Dahyun Kim & Wanhyun Cho & Inseop Na & Myung Hwan Na, 2024. "Prediction of Live Bulb Weight for Field Vegetables Using Functional Regression Models and Machine Learning Methods," Agriculture, MDPI, vol. 14(5), pages 1-20, May.
    11. Robert-Paul Berben & Rajni Rasiawan & Jasper de Winter, 2025. "Forecasting Dutch inflation using machine learning methods," Working Papers 828, DNB.
    12. Clément Cariou & Amélie Charles & Olivier Darné, 2024. "Are national or regional surveys useful for nowcasting regional jobseekers? The case of the French region of Pays‐de‐la‐Loire," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2341-2357, September.

  4. Eric French & Jeremy Mccauley & Maria Aragon & Pieter Bakx & Martin Chalkley & Stacey H. Chen & Bent J. Christensen & Hongwei Chuang & Aurelie Côté-Sergent & Mariacristina de Nardi & Elliott Fan & Dam, 2017. "End-Of-Life Medical Spending In Last Twelve Months Of Life Is Lower Than Previously Reported," Post-Print halshs-01631529, HAL.

    Cited by:

    1. Joan Costa-i-Font & Cristina Vilaplana-Prieto, 2020. "'More than One Red Herring'? Heterogeneous Effects of Ageing on Healthcare Utilisation," CESifo Working Paper Series 8300, CESifo.
    2. Anne Vinkel Hansen & Laust Hvas Mortensen & Stella Trompet & Rudi Westendorp, 2020. "Health care expenditure in the last five years of life is driven by morbidity, not age: A national study of spending trajectories in Danish decedents over age 65," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-11, December.
    3. Kasteridis, Panagiotis & Rice, Nigel & Santos, Rita, 2022. "Heterogeneity in end of life health care expenditure trajectory profiles," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 221-251.
    4. Hintermann, Beat & Minke, Matthias, 2018. "The value of extending life at its end: Health care allocation in the presence of learning spillovers," Working papers 2018/15, Faculty of Business and Economics - University of Basel.
    5. Friedrich Breyer & Normann Lorenz & Gerald J. Pruckner & Thomas Schober, 2022. "Looking into the black box of “Medical Innovation”: rising health expenditures by illness type," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(9), pages 1601-1612, December.
    6. Friedrich Breyer & Normann Lorenz & Gerald Pruckner & Thomas Schober, 2021. "Looking into the Black Box of “Medical Progress”: Rising Health Expenditures by Illness Type and Age," Economics working papers 2021-03, Department of Economics, Johannes Kepler University Linz, Austria.
    7. Rosalind Bell-Aldeghi & Nicolas Sirven & Morgane Guern & Christine Sevilla-Dedieu, 2022. "One last effort. Are high out-of-pocket payments at the end of life a fatality?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(5), pages 879-891, July.
    8. Shinya Sugawara & Tsunehiro Ishihara & Susumu Kunisawa & Etsu Goto & Yuichi Imanaka, 2024. "A panel vector autoregression analysis for the dynamics of medical and long‐term care expenditures," Health Economics, John Wiley & Sons, Ltd., vol. 33(4), pages 748-763, April.
    9. Hudomiet, Péter & Hurd, Michael D. & Rohwedder, Susann, 2019. "The relationship between lifetime out-of-pocket medical expenditures, dementia, and socioeconomic status in the U.S," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    10. Howdon, Daniel & Rice, Nigel, 2018. "Health care expenditures, age, proximity to death and morbidity: Implications for an ageing population," Journal of Health Economics, Elsevier, vol. 57(C), pages 60-74.
    11. Kallestrup-Lamb, Malene & Marin, Alexander O.K. & Menon, Seetha & Søgaard, Jes, 2024. "Aging populations and expenditures on health," The Journal of the Economics of Ageing, Elsevier, vol. 29(C).
    12. Audrey Tanguy-Melac & Dorian Verboux & Laurence Pestel & Anne Fagot-Campagna & Philippe Tuppin & Christelle Gastaldi-Ménager, 2021. "Evolution of health care utilization and expenditure during the year before death in 2015 among people with cancer: French snds-based cohort study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(7), pages 1039-1052, September.
    13. John M. Friend & Dana L. Alden, 2021. "Improving Patient Preparedness and Confidence in Discussing Advance Directives for End-of-Life Care with Health Care Providers in the United States and Japan," Medical Decision Making, , vol. 41(1), pages 60-73, January.
    14. Vernon, Erin & Hughes, M. Courtney & Kowalczyk, Monica, 2022. "Measuring effectiveness in community-based palliative care programs: A systematic review," Social Science & Medicine, Elsevier, vol. 296(C).
    15. Ya‐Chuan Hsu & Feng‐Yuan Chu & Tzeng‐Ji Chen & Li‐Fang Chou & Hsiao‐Ting Chang & Ming‐Hwai Lin & Shinn‐Jang Hwang, 2019. "Lots of little ones: Analysis of charitable donations to a hospice and palliative care unit in Taiwan," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(4), pages 1810-1819, October.
    16. Bom, Judith & Bakx, Pieter & van Doorslaer, Eddy & Gørtz, Mette & Skinner, Jonathan, 2023. "What explains different rates of nursing home admissions? Comparing the United States to Denmark and the Netherlands," The Journal of the Economics of Ageing, Elsevier, vol. 25(C).

  5. Bent Jesper Christensen & Rasmus T. Varneskov, 2016. "Dynamic Global Currency Hedging," CREATES Research Papers 2016-03, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Chen, Shu-Hsiu, 2017. "Carry trade strategies based on option-implied information: Evidence from a cross-section of funding currencies," Journal of International Money and Finance, Elsevier, vol. 78(C), pages 1-20.
    2. Melk C. Bucher, 2020. "Conditional currency hedging," Financial Management, Financial Management Association International, vol. 49(4), pages 897-923, December.
    3. Cho, Jae-Beom & Min, Hong-Ghi & McDonald, Judith Ann, 2020. "Volatility and dynamic currency hedging," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).

  6. Bent Jesper Christensen & Rasmus T. Varneskov, 2015. "Medium Band Least Squares Estimation of Fractional Cointegration in the Presence of Low-Frequency Contamination," CREATES Research Papers 2015-25, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Torben G. Andersen & Rasmus T. Varneskov, 2021. "Consistent Inference for Predictive Regressions in Persistent Economic Systems," NBER Working Papers 28568, National Bureau of Economic Research, Inc.
    2. Torben G. Andersen & Rasmus T. Varneskov, 2021. "Testing for Parameter Instability and Structural Change in Persistent Predictive Regressions," NBER Working Papers 28570, National Bureau of Economic Research, Inc.
    3. Davide Delle Monache & Stefano Grassi & Paolo Santucci de Magistris, 2017. "Does the ARFIMA really shift?," CREATES Research Papers 2017-16, Department of Economics and Business Economics, Aarhus University.
    4. Matei Demetrescu & Mehdi Hosseinkouchack, 2022. "Autoregressive spectral estimates under ignored changes in the mean," Journal of Time Series Analysis, Wiley Blackwell, vol. 43(2), pages 329-340, March.
    5. Leschinski, Christian & Sibbertsen, Philipp, 2018. "The Periodogram of Spurious Long-Memory Processes," Hannover Economic Papers (HEP) dp-632, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    6. Torben G. Andersen & Rasmus T. Varneskov, 2018. "Consistent Inference for Predictive Regressions in Persistent VAR Economies," CREATES Research Papers 2018-09, Department of Economics and Business Economics, Aarhus University.
    7. Neuhierl, Andreas & Varneskov, Rasmus T., 2021. "Frequency dependent risk," Journal of Financial Economics, Elsevier, vol. 140(2), pages 644-675.
    8. Alessandro Casini & Taosong Deng & Pierre Perron, 2021. "Theory of Low Frequency Contamination from Nonstationarity and Misspecification: Consequences for HAR Inference," Papers 2103.01604, arXiv.org, revised Sep 2024.

  7. Bent Christensen & Jesper Bagger, 2014. "Wage and Productivity Dispersion: The Roles of Rent Sharing, Labor Quality and Capital Intensity," 2014 Meeting Papers 473, Society for Economic Dynamics.

    Cited by:

    1. Wolfgang Keller & Hale Utar, 2016. "International Trade and Job Polarization: Evidence at the Worker Level," CESifo Working Paper Series 5978, CESifo.
    2. David Card & Ana Rute Cardoso & Jörg Heining & Patrick Kline, 2016. "Firms and Labor Market Inequality: Evidence and Some Theory," NBER Working Papers 22850, National Bureau of Economic Research, Inc.
    3. Rasmus Lentz & Jesper Bagger, 2009. "An Empirical Model of Wage Dispersion with Sorting," 2009 Meeting Papers 964, Society for Economic Dynamics.
    4. Simon Jäger & Benjamin Schoefer & Samuel Young & Josef Zweimüller, 2020. "Wages and the Value of Nonemployment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(4), pages 1905-1963.
    5. Emmanuele Bobbio & Henning Bunzel, 2018. "The Danish Matched Employer-Employee Data," Economics Working Papers 2018-03, Department of Economics and Business Economics, Aarhus University.
    6. Moon, Ji-Woong, 2023. "Strategic referrals and on-the-job search equilibrium," Journal of Monetary Economics, Elsevier, vol. 134(C), pages 135-151.
    7. Giovanni Dosi & Richard B. Freeman & Marcelo C. Pereira & Andrea Roventini & Maria Enrica Virgillito, 2020. "The Impact of Deunionization on the Growth and Dispersion of Productivity and Pay," LEM Papers Series 2020/02, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    8. Brian Bell & Pawel Bukowski & Stephen Machin, 2018. "Rent sharing and inclusive growth," CEP Discussion Papers dp1584, Centre for Economic Performance, LSE.
    9. Jesper Bagger & Rasmus Lentz, 2014. "An Empirical Model of Wage Dispersion with Sorting," Economics Working Papers 2014-11, Department of Economics and Business Economics, Aarhus University.
    10. Dobbelaere, Sabien & Mairesse, Jacques, 2017. "Comparing Micro-Evidence on Rent Sharing from Two Different Econometric Models," IZA Discussion Papers 11156, Institute of Labor Economics (IZA).
    11. Gueyon Kim & Dohyeon Lee, 2020. "Offshoring and Segregation by Skill: Theory and Evidence," Working Papers 2020-073, Human Capital and Economic Opportunity Working Group.
    12. Fukao, Kyoji & Perugini, Cristiano & Pompei, Fabrizio, 2022. "Labour market regimes, technology and rent-sharing in Japan," Economic Modelling, Elsevier, vol. 112(C).
    13. Berlingieri, Giuseppe & Blanchenay, Patrick & Criscuolo, Chiara, 2024. "The great divergence(s)," Research Policy, Elsevier, vol. 53(3).
    14. Tzuo Hann Law & Iourii Manovskii & Marcus Hagedorn, 2014. "Identifying Equilibrium Models of Labor Market Sorting," 2014 Meeting Papers 896, Society for Economic Dynamics.
    15. Bell, Brian & Bukowski, Pawel & Machin, Stephen, 2024. "The decline in rent sharing," LSE Research Online Documents on Economics 119448, London School of Economics and Political Science, LSE Library.
    16. Fukao, Kyoji & Perugini, Cristiano & Pompei, Fabrizio, 2020. "Labour Market Institutions, Technology and Rent Sharing," IZA Discussion Papers 13155, Institute of Labor Economics (IZA).
    17. Mons Chan & Ming Xu & Sergio Salgado, 2019. "Heterogeneous Passthrough from TFP to Wages," 2019 Meeting Papers 1447, Society for Economic Dynamics.
    18. Rasmus Lentz & Jesper Bagger, 2015. "An Empirical Model of Wage Dispersion with Sorting," 2015 Meeting Papers 1345, Society for Economic Dynamics.

  8. Bent Jesper Christensen & Olaf Posch & Michel van der Wel, 2014. "Estimating Dynamic Equilibrium Models Using Mixed Frequency Macro and Financial Data," CESifo Working Paper Series 5030, CESifo.

    Cited by:

    1. Schrimpf, Paul & Parra-Alvarez, Juan Carlos & Posch, Olaf, 2021. "Peso Problems in the Estimation of the C-CAPM," CEPR Discussion Papers 16299, C.E.P.R. Discussion Papers.
    2. József Vörös, 2024. "Some properties of the maximum loss on loan portfolios," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 32(1), pages 155-176, March.
    3. Foroni, Claudia & Gelain, Paolo & Marcellino, Massimiliano, 2022. "The financial accelerator mechanism: does frequency matter?," Working Paper Series 2637, European Central Bank.
    4. Emanuele Bacchiocchi & Andrea Bastianin & Alessandro Missale & Eduardo Rossi, 2018. "Structural analysis with mixed-frequency data: A MIDAS-SVAR model of US capital flows," Papers 1802.00793, arXiv.org.
    5. Olaf Posch, 2018. "Resurrecting the New-Keynesian Model: (Un)conventional Policy and the Taylor Rule," CESifo Working Paper Series 6925, CESifo.
    6. van der Wel, M., 2020. "Connecting Silos : On linking macroeconomics and finance, and the role of econometrics therein," ERIM Inaugural Address Series Research in Management 124748, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam..
    7. Meyer-Gohde, Alexander & Shabalina, Ekaterina, 2022. "Estimation and forecasting using mixed-frequency DSGE models," IMFS Working Paper Series 175, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    8. Bacchiocchi, Emanuele & Bastianin, Andrea & Missale, Alessandro & Rossi, Eduardo, 2020. "Structural analysis with mixed-frequency data: A model of US capital flows," Economic Modelling, Elsevier, vol. 89(C), pages 427-443.
    9. Christensen, Bent Jesper & Neri, Luca & Parra-Alvarez, Juan Carlos, 2024. "Estimation of continuous-time linear DSGE models from discrete-time measurements," Journal of Econometrics, Elsevier, vol. 244(2).
    10. Parra-Alvarez, Juan Carlos & Polattimur, Hamza & Posch, Olaf, 2021. "Risk matters: Breaking certainty equivalence in linear approximations," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    11. Max Ole Liemen & Michel van der Wel & Olaf Posch, 2018. "Structural Estimation of Dynamic Macroeconomic Models using Higher-Frequency Financial Data," 2018 Meeting Papers 1049, Society for Economic Dynamics.

  9. Bent Jesper Christensen & Morten Ørregaard Nielsen & Jie Zhu, 2012. "The impact of financial crises on the risk-return tradeoff and the leverage effect," CREATES Research Papers 2012-19, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Suzanne G. M. Fifield & David G. McMillan & Fiona J. McMillan, 2020. "Is there a risk and return relation?," The European Journal of Finance, Taylor & Francis Journals, vol. 26(11), pages 1075-1101, July.
    2. Bent Jesper Christensen & Morten Ørregaard Nielsen & Jie Zhu, 2012. "The impact of financial crises on the risk-return tradeoff and the leverage effect," CREATES Research Papers 2012-19, Department of Economics and Business Economics, Aarhus University.
    3. Horpestad, Jone B. & Lyócsa, Štefan & Molnár, Peter & Olsen, Torbjørn B., 2019. "Asymmetric volatility in equity markets around the world," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 540-554.
    4. Jianxu Liu & Quanrui Song & Yang Qi & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Measurement of Systemic Risk in Global Financial Markets and Its Application in Forecasting Trading Decisions," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    5. M. MALLIKARJUNA & R. Prabhakara RAO, 2019. "Volatility experience of major world stock markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(621), W), pages 35-52, Winter.
    6. Ashraf, Dawood & Felixson, Karl & Khawaja, Mohsin & Hussain, Syed Mujahid, 2017. "Do constraints on financial and operating leverage affect the performance of Islamic equity portfolios?," Pacific-Basin Finance Journal, Elsevier, vol. 42(C), pages 171-182.
    7. Chen, Junping & Xiong, Xiong & Zhu, Jie & Zhu, Xiaoneng, 2017. "Asset prices and economic fluctuations: The implications of stochastic volatility," Economic Modelling, Elsevier, vol. 64(C), pages 128-140.
    8. Jia, Yun & Yang, Chunpeng, 2017. "Disagreement and the risk-return relation," Economic Modelling, Elsevier, vol. 64(C), pages 97-104.
    9. Aboura, Sofiane & Chevallier, Julien, 2018. "Tail risk and the return-volatility relation," Research in International Business and Finance, Elsevier, vol. 46(C), pages 16-29.
    10. Ormos, Mihály & Timotity, Dusán, 2016. "Generalized asset pricing: Expected Downside Risk-based equilibrium modeling," Economic Modelling, Elsevier, vol. 52(PB), pages 967-980.
    11. Liu, Jingzhen, 2019. "Impacts of lagged returns on the risk-return relationship of Chinese aggregate stock market: Evidence from different data frequencies," Research in International Business and Finance, Elsevier, vol. 48(C), pages 243-257.
    12. Gong, Yuting & Chen, Qiang & Liang, Jufang, 2018. "A mixed data sampling copula model for the return-liquidity dependence in stock index futures markets," Economic Modelling, Elsevier, vol. 68(C), pages 586-598.
    13. Newaz, Mohammad Khaleq & Park, Jin Suk, 2019. "The impact of trade intensity and Market characteristics on asymmetric volatility, spillovers and asymmetric spillovers: Evidence from the response of international stock markets to US shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 79-94.

  10. Bent Jesper Christensen & Olaf Posch & Michel van der Wel, 2011. "Estimating Dynamic Equilibrium Models using Macro and Financial Data," CREATES Research Papers 2011-21, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Domenico Giannone & Francesca Monti & Lucrezia Reichlin, 2014. "Exploiting the monthly data-flow in structural forecasting," Discussion Papers 1416, Centre for Macroeconomics (CFM).
    2. Olaf Posch, 2018. "Resurrecting the New-Keynesian Model: (Un)conventional Policy and the Taylor Rule," CESifo Working Paper Series 6925, CESifo.
    3. Claudia Foroni & Massimiliano Marcellino, 2013. "Mixed frequency structural models: estimation, and policy analysis," Working Paper 2013/15, Norges Bank.
    4. Max Ole Liemen & Michel van der Wel & Olaf Posch, 2018. "Structural Estimation of Dynamic Macroeconomic Models using Higher-Frequency Financial Data," 2018 Meeting Papers 1049, Society for Economic Dynamics.

  11. Christian Bach & Bent Jesper Christensen, 2011. "Latent Integrated Stochastic Volatility, Realized Volatility, and Implied Volatility: A State Space Approach," CREATES Research Papers 2010-61, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Kleppe, Tore Selland & Liesenfeld, Roman, 2011. "Efficient high-dimensional importance sampling in mixture frameworks," Economics Working Papers 2011-11, Christian-Albrechts-University of Kiel, Department of Economics.

  12. Bent Jesper Christensen & Paolo Santucci de Magistris, 2010. "Level Shifts in Volatility and the Implied-Realized Volatility Relation," CREATES Research Papers 2010-60, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Marcel Aloy & Gilles de Truchis, 2015. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems and the Co-persistence Analysis of Stock Market Realized Volatilities," Post-Print hal-01410660, HAL.
    2. Eduardo Rossi & Paolo Santucci de Magistris, 2009. "Long Memory and Tail dependence in Trading Volume and Volatility," CREATES Research Papers 2009-30, Department of Economics and Business Economics, Aarhus University.
    3. Becker, Janis & Leschinski, Christian & Sibbertsen, Philipp, 2019. "Robust Multivariate Local Whittle Estimation and Spurious Fractional Cointegration," Hannover Economic Papers (HEP) dp-660, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    4. Eduardo Rossi & Paolo Santucci de Magistris, 2013. "A No‐Arbitrage Fractional Cointegration Model for Futures and Spot Daily Ranges," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(1), pages 77-102, January.
    5. Eduardo Rossi & Paolo Santucci de Magistris, 2009. "A No Arbitrage Fractional Cointegration Analysis Of The Range Based Volatility," CREATES Research Papers 2009-31, Department of Economics and Business Economics, Aarhus University.
    6. Massimiliano Caporin & Eduardo Rossi & Paolo Santucci de Magistris, 2011. "Conditional jumps in volatility and their economic determinants," "Marco Fanno" Working Papers 0138, Dipartimento di Scienze Economiche "Marco Fanno".
    7. Kellard, Neil M. & Jiang, Ying & Wohar, Mark, 2015. "Spurious long memory, uncommon breaks and the implied–realized volatility puzzle," Journal of International Money and Finance, Elsevier, vol. 56(C), pages 36-54.

  13. Dale T. Mortensen & Bent Jesper Christensen & Jesper Bagger, 2010. "Wage and Productivity Dispersion: Labor Quality or Rent Sharing?," 2010 Meeting Papers 758, Society for Economic Dynamics.

    Cited by:

    1. Leland D. Crane, 2014. "Firm Dynamics and Assortative Matching," Working Papers 14-25, Center for Economic Studies, U.S. Census Bureau.
    2. Alexandre Janiak & Etienne Wasmer, 2014. "Employment protection and capital-labor ratios," Working Papers hal-03460272, HAL.
    3. Erling Barth & James Davis & Richard B. Freeman, 2015. "Augmenting the Human Capital Earnings Equation with Measures of Where People Work," NBER Chapters, in: Firms and the Distribution of Income: The Roles of Productivity and Luck, National Bureau of Economic Research, Inc.
    4. Pavel Ryska & Jan Prùša, 2011. "Efficiency Wages in Heterogenous Labour Markets," Working Papers IES 2011/28, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2011.
    5. Doan, Tinh & Nguyen, Ha, 2013. "Productivity dispersion and the roles of quality of labour input and competition: A case of Vietnamese manufacturing sector," MPRA Paper 48357, University Library of Munich, Germany.
    6. Smeets, Valérie & Warzynski, Frédèric, 2011. "Estimating productivity with multi-product firms, pricing heterogeneity and the role of international trade," Working Papers 11-13, University of Aarhus, Aarhus School of Business, Department of Economics.
    7. Melvyn G. Coles & Dale T. Mortensen, 2012. "Equilibrium Labor Turnover, Firm Growth and Unemployment," NBER Working Papers 18022, National Bureau of Economic Research, Inc.
    8. Niehues, Judith & Peichl, Andreas, 2011. "Lower and Upper Bounds of Unfair Inequality: Theory and Evidence for Germany and the US," IZA Discussion Papers 5834, Institute of Labor Economics (IZA).
    9. Judith Niehues & Andreas Peichl, 2014. "Upper bounds of inequality of opportunity: theory and evidence for Germany and the US," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 43(1), pages 73-99, June.
    10. Jan Eeckhout & Roberto Pinheiro, 2014. "Diverse Organizations And The Competition For Talent," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 625-664, August.
    11. Petri, Böckerman & Mika, Maliranta, 2012. "Outsourcing, occupational restructuring, and employee well-being: Is there a silver lining?," MPRA Paper 38230, University Library of Munich, Germany.
    12. Torben Sørensen & Rune Vejlin, 2013. "The importance of worker, firm and match effects in the formation of wages," Empirical Economics, Springer, vol. 45(1), pages 435-464, August.
    13. John Kennes & Daniel le Maire, 2016. "Competing Auctions of Skills," Economics Working Papers 2016-02, Department of Economics and Business Economics, Aarhus University.
    14. John Kennes & Daniel le Maire, 2013. "Job Heterogeneity and Coordination Frictions," Economics Working Papers 2013-09, Department of Economics and Business Economics, Aarhus University.
    15. Herbert Dawid & Jasper Hepp, 2022. "Distributional effects of technological regime changes: hysteresis, concentration and inequality dynamics," Review of Evolutionary Political Economy, Springer, vol. 3(1), pages 137-167, April.
    16. Niehues, J. (Judith) & Andreas Peichl, 2012. "GINI DP 34: Bounds of Unfair Inequality of Opportunity: Theory and Evidence for Germany and the US," GINI Discussion Papers 34, AIAS, Amsterdam Institute for Advanced Labour Studies.
    17. Judith Niehues & Andreas Peichl, 2012. "Bounds of Unfair Inequality of Opportunity: Theory and Evidence for Germany and the US," CESifo Working Paper Series 3815, CESifo.

  14. Bent Jesper Christensen & Malene Kallestrup Lamb, 2010. "The Impact of Health Changes on Labor Supply: Evidence from Merged Data on Individual Objective Medical Diagnosis Codes and Early Retirement Behavior," CREATES Research Papers 2010-62, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Bérengère Davin & Xavier Joutard & Alain Paraponaris, 2019. "“If You Were Me”: Proxy Respondents’ Biases in Population Health Surveys," AMSE Working Papers 1905, Aix-Marseille School of Economics, France.
    2. Malene Kallestrup-Lamb, 2011. "The Role of the Spouse in Early Retirement Decisions for Older Workers," CREATES Research Papers 2011-38, Department of Economics and Business Economics, Aarhus University.
    3. Apergis, Nicholas & Mustafa, Ghulam & Dastidar, Sayantan Ghosh, 2021. "An analysis of the impact of unconventional oil and gas activities on public health: New evidence across Oklahoma counties," Energy Economics, Elsevier, vol. 97(C).
    4. Danny Wende & Alexander Karmann & Ines Weinhold, 2024. "Deprivation as a fundamental cause of morbidity and reduced life expectancy: an observational study using German statutory health insurance data," International Journal of Health Economics and Management, Springer, vol. 24(2), pages 257-277, June.
    5. O'Halloran, Jamie & Oxholm, Anne Sophie & Pedersen, Line Bjørnskov & Gyrd-Hansen, Dorte, 2021. "Time to retire? A register-based study of GPs’ practice style prior to retirement," Social Science & Medicine, Elsevier, vol. 281(C).
    6. Boman, Anders, 2015. "Spending time together? Effects on the retirement decision from partner’s labour market status," Working Papers in Economics 618, University of Gothenburg, Department of Economics.
    7. Shuolin Shi & Ralf A. Wilke, 2022. "Variable selection with group structure: exiting employment at retirement age—a competing risks quantile regression analysis," Empirical Economics, Springer, vol. 62(1), pages 119-155, January.
    8. Pinna Pintor, Matteo & Fumagalli, Elena & Suhrcke, Marc, 2024. "The impact of health on labour market outcomes: A rapid systematic review," Health Policy, Elsevier, vol. 143(C).
    9. Martinson Ankrah Twumasi & Yuansheng Jiang & Bismark Addai & Zhao Ding & Abbas Ali Chandio & Prince Fosu & Dennis Asante & Anthony Siaw & Frank Osei Danquah & Bright Asiamah Korankye & Gideon Ntim-Amo, 2021. "The Impact of Cooperative Membership on Fish Farm Households’ Income: The Case of Ghana," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    10. Xin Deng & Miao Zeng & Dingde Xu & Feng Wei & Yanbin Qi, 2019. "Household Health and Cropland Abandonment in Rural China: Theoretical Mechanism and Empirical Evidence," IJERPH, MDPI, vol. 16(19), pages 1-13, September.
    11. Martinson Ankrah Twumasi & Hongyun Zheng & Love Offeibea Asiedu-Ayeh & Anthony Siaw & Yuansheng Jiang, 2023. "Access to Financial Services and Its Impact on Household Income: Evidence from Rural Ghana," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(4), pages 869-890, August.
    12. Botosaru, Irene, 2011. "A Duration Model with Dynamic Unobserved Heterogeneity," TSE Working Papers 11-262, Toulouse School of Economics (TSE), revised Nov 2013.
    13. Gerke, Oke & Lauridsen, Jørgen T., 2013. "Determinants of early retirement in Denmark. An empirical investigation using SHARE data," Discussion Papers on Economics 4/2013, University of Southern Denmark, Department of Economics.
    14. Maiken Skovrider Aaskoven & Jørgen T. Lauridsen & Trine Kjær, 2024. "Live longer, work longer? An investigation of the health capacity to work at older ages in Denmark using combined register and survey data," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 58(1), pages 1-13, December.
    15. Martinson Ankrah Twumasi & Dennis Asante & Jesse Nuamah Brako & Zhao Ding & Yuansheng Jiang, 2023. "The Relationship between Chronic Non-Communicable Diseases of Fish Farm Household Members and Production Efficiency: The Case of Ghana," IJERPH, MDPI, vol. 20(5), pages 1-13, February.
    16. Ilmakunnas, Pekka & Ilmakunnas, Seija, 2018. "Health and retirement age: Comparison of expectations and actual retirement," MPRA Paper 102618, University Library of Munich, Germany.

  15. Bent Jesper Christensen & Michael Sørensen, 2008. "Optimal inference in dynamic models with conditional moment restrictions," CREATES Research Papers 2008-51, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Julie Lyng Forman & Michael Sørensen, 2008. "The Pearson Diffusions: A Class of Statistically Tractable Diffusion Processes," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 35(3), pages 438-465, September.
    2. Michael Sørensen, 2008. "Efficient estimation for ergodic diffusions sampled at high frequency," CREATES Research Papers 2007-46, Department of Economics and Business Economics, Aarhus University.
    3. Christensen, Bent Jesper & Posch, Olaf & van der Wel, Michel, 2016. "Estimating dynamic equilibrium models using mixed frequency macro and financial data," Journal of Econometrics, Elsevier, vol. 194(1), pages 116-137.

  16. Bent Jesper Christensen & Christian M. Dahl & Emma M. Iglesias, 2008. "Semiparametric Inference in a GARCH-in-Mean Model," CREATES Research Papers 2008-46, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Conrad, Christian & Mammen , Enno, 2015. "Asymptotics for parametric GARCH-in-Mean Models," Working Papers 0579, University of Heidelberg, Department of Economics.
    2. Hong, S-Y. & Linton, O., 2018. "Nonparametric estimation of infinite order regression and its application to the risk-return tradeoff," Cambridge Working Papers in Economics 1877, Faculty of Economics, University of Cambridge.
    3. Sander Barendse & Erik Kole & Dick van Dijk, 2023. "Backtesting Value-at-Risk and Expected Shortfall in the Presence of Estimation Error," Journal of Financial Econometrics, Oxford University Press, vol. 21(2), pages 528-568.
    4. Hafner, Christian & Kyriakopoulou, Dimitra, 2020. "Exponential-Type GARCH Models With Linear-in-Variance Risk Premium," LIDAM Reprints ISBA 2020029, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    5. Andrew Harvey & Rutger-Jan Lange, 2015. "Modeling the Interactions between Volatility and Returns," Cambridge Working Papers in Economics 1518, Faculty of Economics, University of Cambridge.
    6. Song, Zefang & Song, Xinyuan & Li, Yuan, 2023. "Bayesian Analysis of ARCH-M model with a dynamic latent variable," Econometrics and Statistics, Elsevier, vol. 28(C), pages 47-62.
    7. Meister, Alexander & Kreiß, Jens-Peter, 2016. "Statistical inference for nonparametric GARCH models," Stochastic Processes and their Applications, Elsevier, vol. 126(10), pages 3009-3040.
    8. Yucong Lin & Jinhua Su & Yang Liu & Jue Hou & Feifei Wang, 2024. "Implicit profiling estimation for semiparametric models with bundled parameters," Statistical Papers, Springer, vol. 65(5), pages 3203-3234, July.
    9. Zhu Huafeng & Zhang Xingfa & Liang Xin & Li Yuan, 2018. "Moving Average Model with an Alternative GARCH-Type Error," Journal of Systems Science and Information, De Gruyter, vol. 6(2), pages 165-177, April.
    10. Dias, Gustavo Fruet, 2017. "The time-varying GARCH-in-mean model," Economics Letters, Elsevier, vol. 157(C), pages 129-132.
    11. Iglesias, Emma M., 2015. "Value at Risk and expected shortfall of firms in the main European Union stock market indexes: A detailed analysis by economic sectors and geographical situation," Economic Modelling, Elsevier, vol. 50(C), pages 1-8.
    12. Frazier, David T. & Liu, Xiaochun, 2016. "A new approach to risk-return trade-off dynamics via decomposition," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 43-55.
    13. Zhou, Jian, 2016. "A high-frequency analysis of the interactions between REIT return and volatility," Economic Modelling, Elsevier, vol. 56(C), pages 102-108.
    14. Farooq Malik, 2015. "Revisiting the relationship between risk and return," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 25-40, January.

  17. Bent Jesper Christensen & Morten Ørregaard Nielsen & Jie Zhu, 2007. "Long Memory in Stock Market Volatility and the Volatility-in-Mean Effect: The FIEGARCH-M Model," CREATES Research Papers 2007-10, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Bernard Bollen, 2015. "What should the value of lambda be in the exponentially weighted moving average volatility model?," Applied Economics, Taylor & Francis Journals, vol. 47(8), pages 853-860, February.
    2. Dai, Zhifeng & Chang, Xiaoming, 2021. "Forecasting stock market volatility: Can the risk aversion measure exert an important role?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    3. Christensen, Bent Jesper & Dahl, Christian M. & Iglesias, Emma M., 2012. "Semiparametric inference in a GARCH-in-mean model," Journal of Econometrics, Elsevier, vol. 167(2), pages 458-472.
    4. Bent Jesper Christensen & Morten Ørregaard Nielsen & Jie Zhu, 2012. "The impact of financial crises on the risk-return tradeoff and the leverage effect," CREATES Research Papers 2012-19, Department of Economics and Business Economics, Aarhus University.
    5. Chkili, Walid & Aloui, Chaker & Nguyen, Duc Khuong, 2012. "Asymmetric effects and long memory in dynamic volatility relationships between stock returns and exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(4), pages 738-757.
    6. Dimitrakopoulos, Stefanos & Tsionas, Mike, 2019. "Ordinal-response GARCH models for transaction data: A forecasting exercise," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1273-1287.
    7. Harry Vander Elst, 2015. "FloGARCH : Realizing long memory and asymmetries in returns volatility," Working Paper Research 280, National Bank of Belgium.
    8. Massimiliano Caporin & Angelo Ranaldo & Paolo Santucci de Magistris, 2011. "On the Predictability of Stock Prices: A Case for High and Low Prices," "Marco Fanno" Working Papers 0136, Dipartimento di Scienze Economiche "Marco Fanno".
    9. Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019. "Long Memory, Realized Volatility and HAR Models," Working Papers 881, Queen Mary University of London, School of Economics and Finance.
    10. Vafiadis Nikolaos, 2015. "Forecasting Volatility and the Risk–Return Tradeoff: An Application on the Fama–French Benchmark Market Return," Journal of Time Series Econometrics, De Gruyter, vol. 7(2), pages 181-216, July.
    11. Liang, Chao & Ma, Feng & Li, Ziyang & Li, Yan, 2020. "Which types of commodity price information are more useful for predicting US stock market volatility?," Economic Modelling, Elsevier, vol. 93(C), pages 642-650.
    12. He, Xue-Zhong & Zheng, Huanhuan, 2016. "Trading heterogeneity under information uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 64-80.
    13. Jie Zhu, 2008. "FIEGARCH-M and and International Crises: A Cross-Country Analysis," CREATES Research Papers 2008-16, Department of Economics and Business Economics, Aarhus University.
    14. He, Zhongzhi (Lawrence) & Zhu, Jie & Zhu, Xiaoneng, 2015. "Dynamic factors and asset pricing: International and further U.S. evidence," Pacific-Basin Finance Journal, Elsevier, vol. 32(C), pages 21-39.
    15. Luis A. Gil‐Alana & Robert Mudida & OlaOluwa S. Yaya & Kazeem A. Osuolale & Ahamuefula E. Ogbonna, 2021. "Mapping US presidential terms with S&P500 index: Time series analysis approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1938-1954, April.
    16. Dahl Christian M & Iglesias Emma, 2011. "Modeling the Volatility-Return Trade-Off When Volatility May Be Nonstationary," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-32, February.
    17. Andrew Harvey & Rutger-Jan Lange, 2015. "Modeling the Interactions between Volatility and Returns," Cambridge Working Papers in Economics 1518, Faculty of Economics, University of Cambridge.
    18. Zhang, Jiu & Jin, Li-Fu & Zheng, Bo & Li, Yan & Jiang, Xiong-Fei, 2022. "Simplified calculations of time correlation functions in non-stationary complex financial systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    19. Charfeddine, Lanouar, 2014. "True or spurious long memory in volatility: Further evidence on the energy futures markets," Energy Policy, Elsevier, vol. 71(C), pages 76-93.
    20. Zhang, Heng-Guo & Su, Chi-Wei & Song, Yan & Qiu, Shuqi & Xiao, Ran & Su, Fei, 2017. "Calculating Value-at-Risk for high-dimensional time series using a nonlinear random mapping model," Economic Modelling, Elsevier, vol. 67(C), pages 355-367.
    21. Juan Carlos Cuestas & Luis A. Gil-Alana & Laura Sauci, 2020. "Public finances in the EU-27: Are they sustainable?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(1), pages 181-204, February.
    22. Saker Sabkha & Christian Peretti & Dorra Hmaied, 2019. "The Credit Default Swap market contagion during recent crises: international evidence," Review of Quantitative Finance and Accounting, Springer, vol. 53(1), pages 1-46, July.
    23. Luis A. Gil-Alana & Rangan Gupta, 2013. "Persistence and Cycles in Historical Oil Prices Data," Working Papers 201375, University of Pretoria, Department of Economics.
    24. Chen, Junping & Xiong, Xiong & Zhu, Jie & Zhu, Xiaoneng, 2017. "Asset prices and economic fluctuations: The implications of stochastic volatility," Economic Modelling, Elsevier, vol. 64(C), pages 128-140.
    25. Conrad, Christian & Karanasos, Menelaos & Zeng, Ning, 2011. "Multivariate fractionally integrated APARCH modeling of stock market volatility: A multi-country study," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 147-159, January.
    26. Zouheir Mighri & Faysal Mansouri, 2014. "Modeling international stock market contagion using multivariate fractionally integrated APARCH approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-25, December.
    27. Gil-Alana, Luis A. & Mudida, Robert & Yaya, OlaOluwa S & Osuolale, Kazeem & Ogbonna, Ephraim A, 2019. "Influence of US Presidential Terms on S&P500 Index Using a Time Series Analysis Approach," MPRA Paper 93941, University Library of Munich, Germany.
    28. Chkili, Walid & Aloui, Chaker & Nguyen, Duc Khuong, 2014. "Instabilities in the relationships and hedging strategies between crude oil and US stock markets: Do long memory and asymmetry matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 354-366.
    29. Ozcan Ceylan, 2012. "Time-Varying Volatility Asymmetry: A Conditioned HAR-RV(CJ) EGARCH-M Model," GIAM Working Papers 12-4, Galatasaray University Economic Research Center.
    30. Zouheir Mighri, 2018. "On the Dynamic Linkages Among International Emerging Currencies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 427-473, June.
    31. Fu, Hui & Chen, Wenting & He, Xin-Jiang, 2018. "On a class of estimation and test for long memory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 906-920.
    32. Samet Günay, 2016. "Performance of the Multifractal Model of Asset Returns (MMAR): Evidence from Emerging Stock Markets," IJFS, MDPI, vol. 4(2), pages 1-17, May.
    33. He, Zhongzhi (Lawrence) & Zhu, Jie & Zhu, Xiaoneng, 2015. "Multi-factor volatility and stock returns," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 132-149.
    34. Dahl, Christian M. & Iglesias, Emma M., 2009. "Volatility spill-overs in commodity spot prices: New empirical results," Economic Modelling, Elsevier, vol. 26(3), pages 601-607, May.
    35. Meng, Bo & Vijh, Anand M., 2021. "Stock merger activity and industry performance," Journal of Banking & Finance, Elsevier, vol. 129(C).
    36. Naveen Musunuru, 2019. "Modeling Long Range Dependence in Wheat Food Price Returns," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(9), pages 1-46, September.
    37. A. M. M. Shahiduzzaman Quoreshi & Reaz Uddin & Viroj Jienwatcharamongkhol, 2019. "Equity Market Contagion in Return Volatility during Euro Zone and Global Financial Crises: Evidence from FIMACH Model," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    38. Andrew Harvey & Rutger‐Jan Lange, 2018. "Modeling the Interactions between Volatility and Returns using EGARCH‐M," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 909-919, November.
    39. Cevik, Emrah Ismail & Topaloğlu, Gültekin, 2014. "Volatilitede uzun hafıza ve yapısal kırılma: Borsa Istanbul örneği [Long memory and structural breaks on volatility: evidence from Borsa Istanbul]," MPRA Paper 71485, University Library of Munich, Germany, revised 2014.

  18. Bent Jesper Christensen & Morten Ørregaard Nielsen, 2007. "The Effect of Long Memory in Volatility on Stock Market Fluctuations," CREATES Research Papers 2007-03, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Zhongjun Qu, 2010. "A Test Against Spurious Long Memory," Boston University - Department of Economics - Working Papers Series WP2010-051, Boston University - Department of Economics.
    2. Christensen, Bent Jesper & Dahl, Christian M. & Iglesias, Emma M., 2012. "Semiparametric inference in a GARCH-in-mean model," Journal of Econometrics, Elsevier, vol. 167(2), pages 458-472.
    3. Ke-Li Xu & Junjie Guo, 2021. "A New Test for Multiple Predictive Regression," CAEPR Working Papers 2022-001 Classification-C, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    4. Massimiliano Giacalone & Demetrio Panarello, 2022. "A Nonparametric Approach for Testing Long Memory in Stock Returns’ Higher Moments," Mathematics, MDPI, vol. 10(5), pages 1-21, February.
    5. Bent Jesper Christensen & Morten Ørregaard Nielsen & Jie Zhu, 2012. "The impact of financial crises on the risk-return tradeoff and the leverage effect," CREATES Research Papers 2012-19, Department of Economics and Business Economics, Aarhus University.
    6. Bent Jesper Christensen & Jie Zhu & Morten Ø. Nielsen, 2009. "Long Memory In Stock Market Volatility And The Volatility-in-mean Effect: The Fiegarch-m Model," Working Paper 1207, Economics Department, Queen's University.
    7. Bent Jesper Christensen & Rasmus T. Varneskov, 2015. "Medium Band Least Squares Estimation of Fractional Cointegration in the Presence of Low-Frequency Contamination," CREATES Research Papers 2015-25, Department of Economics and Business Economics, Aarhus University.
    8. Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019. "Long Memory, Realized Volatility and HAR Models," Working Papers 881, Queen Mary University of London, School of Economics and Finance.
    9. Neil Kellard & Denise Osborn & Jerry Coakley & Christian Conrad & Menelaos Karanasos, 2015. "On the Transmission of Memory in Garch-in-Mean Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(5), pages 706-720, September.
    10. Vafiadis Nikolaos, 2015. "Forecasting Volatility and the Risk–Return Tradeoff: An Application on the Fama–French Benchmark Market Return," Journal of Time Series Econometrics, De Gruyter, vol. 7(2), pages 181-216, July.
    11. Seo, Sung Won & Kim, Jun Sik, 2015. "The information content of option-implied information for volatility forecasting with investor sentiment," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 106-120.
    12. Liang, Chao & Ma, Feng & Li, Ziyang & Li, Yan, 2020. "Which types of commodity price information are more useful for predicting US stock market volatility?," Economic Modelling, Elsevier, vol. 93(C), pages 642-650.
    13. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    14. He, Xue-Zhong & Zheng, Huanhuan, 2016. "Trading heterogeneity under information uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 64-80.
    15. Sun, Yiguo & Hsiao, Cheng & Li, Qi, 2011. "Measuring correlations of integrated but not cointegrated variables: A semiparametric approach," Journal of Econometrics, Elsevier, vol. 164(2), pages 252-267, October.
    16. Yiu Lim Lui & Peter C.B. Phillips & Jun Yu, 2022. "Robust Testing for Explosive Behavior with Strongly Dependent Errors," Economics and Statistics Working Papers 11-2022, Singapore Management University, School of Economics.
    17. Lee Jihyun & Kim Tong S & Lee Hoe Kyung, 2010. "Return-Volatility Relationship in High Frequency Data: Multiscale Horizon Dependency," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(1), pages 1-43, December.
    18. Jie Zhu, 2008. "FIEGARCH-M and and International Crises: A Cross-Country Analysis," CREATES Research Papers 2008-16, Department of Economics and Business Economics, Aarhus University.
    19. Bekiros, Stelios & Jlassi, Mouna & Naoui, Kamel & Uddin, Gazi Salah, 2018. "Risk perception in financial markets: On the flip side," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 184-206.
    20. Massimiliano Caporin & C. Vladimir Rodríguez-Caballero & Esther Ruiz, 2024. "The factor structure of exchange rates volatility: global and intermittent factors," Empirical Economics, Springer, vol. 67(1), pages 31-45, July.
    21. Dahl Christian M & Iglesias Emma, 2011. "Modeling the Volatility-Return Trade-Off When Volatility May Be Nonstationary," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-32, February.
    22. Bollerslev, Tim & Osterrieder, Daniela & Sizova, Natalia & Tauchen, George, 2013. "Risk and return: Long-run relations, fractional cointegration, and return predictability," Journal of Financial Economics, Elsevier, vol. 108(2), pages 409-424.
    23. Zanetti Chini, Emilio, 2025. "Judgment can spur long memory," Journal of Economic Dynamics and Control, Elsevier, vol. 170(C).
    24. Gagnon, Marie-Hélène & Power, Gabriel J. & Toupin, Dominique, 2016. "International stock market cointegration under the risk-neutral measure," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 243-255.
    25. Long H. Vo, 2017. "Estimating Financial Volatility with High-Frequency Returns," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 2(2), pages 84-114, October.
    26. Conrad, Christian & Karanasos, Menelaos & Zeng, Ning, 2011. "Multivariate fractionally integrated APARCH modeling of stock market volatility: A multi-country study," Journal of Empirical Finance, Elsevier, vol. 18(1), pages 147-159, January.
    27. Song, Ziyu & Gong, Xiaomin & Zhang, Cheng & Yu, Changrui, 2023. "Investor sentiment based on scaled PCA method: A powerful predictor of realized volatility in the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 528-545.
    28. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    29. Zouheir Mighri & Faysal Mansouri, 2014. "Modeling international stock market contagion using multivariate fractionally integrated APARCH approach," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-25, December.
    30. Ke, Shuyao & Phillips, Peter C.B. & Su, Liangjun, 2024. "Robust inference of panel data models with interactive fixed effects under long memory: A frequency domain approach," Journal of Econometrics, Elsevier, vol. 241(2).
    31. Liu, Chen & Wang, Chao & Tran, Minh-Ngoc & Kohn, Robert, 2025. "A long short-term memory enhanced realized conditional heteroskedasticity model," Economic Modelling, Elsevier, vol. 142(C).
    32. Hassler, Uwe & Hosseinkouchack, Mehdi, 2014. "Effect of the order of fractional integration on impulse responses," Economics Letters, Elsevier, vol. 125(2), pages 311-314.
    33. Daniela Osterrieder & Daniel Ventosa-Santaulària & J. Eduardo Vera-Valdés, 2015. "Unbalanced Regressions and the Predictive Equation," CREATES Research Papers 2015-09, Department of Economics and Business Economics, Aarhus University.
    34. Arturo Leccadito & Omar Rachedi & Giovanni Urga, 2015. "True Versus Spurious Long Memory: Some Theoretical Results and a Monte Carlo Comparison," Econometric Reviews, Taylor & Francis Journals, vol. 34(4), pages 452-479, April.
    35. Zouheir Mighri, 2018. "On the Dynamic Linkages Among International Emerging Currencies," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 427-473, June.
    36. Mengyu Wang & Shay B. Cohen & Tiejun Ma, 2024. "Modeling News Interactions and Influence for Financial Market Prediction," Papers 2410.10614, arXiv.org.
    37. Li, Junye, 2011. "Volatility components, leverage effects, and the return-volatility relations," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1530-1540, June.
    38. Farag, Hisham, 2013. "Price limit bands, asymmetric volatility and stock market anomalies: Evidence from emerging markets," Global Finance Journal, Elsevier, vol. 24(1), pages 85-97.
    39. Chen, Jilong & Xu, Liao & Xu, Hao, 2022. "The impact of COVID-19 on commodity options market: Evidence from China," Economic Modelling, Elsevier, vol. 116(C).
    40. Dahl, Christian M. & Iglesias, Emma M., 2009. "Volatility spill-overs in commodity spot prices: New empirical results," Economic Modelling, Elsevier, vol. 26(3), pages 601-607, May.
    41. Naveen Musunuru, 2019. "Modeling Long Range Dependence in Wheat Food Price Returns," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(9), pages 1-46, September.
    42. Pedro Chaim & Márcio Poletti Laurini, 2024. "Bayesian Inference for Long Memory Stochastic Volatility Models," Econometrics, MDPI, vol. 12(4), pages 1-28, November.
    43. A. M. M. Shahiduzzaman Quoreshi & Reaz Uddin & Viroj Jienwatcharamongkhol, 2019. "Equity Market Contagion in Return Volatility during Euro Zone and Global Financial Crises: Evidence from FIMACH Model," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    44. Tim Bollerslev & Daniela Osterrieder & Natalia Sizova & George Tauchen, 2011. "Risk and Return: Long-Run Relationships, Fractional Cointegration, and Return Predictability," CREATES Research Papers 2011-51, Department of Economics and Business Economics, Aarhus University.
    45. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2022. "Long-memory and volatility spillovers across petroleum futures," Energy, Elsevier, vol. 243(C).
    46. Chen Liu & Chao Wang & Minh-Ngoc Tran & Robert Kohn, 2023. "Deep Learning Enhanced Realized GARCH," Papers 2302.08002, arXiv.org, revised Oct 2023.
    47. Ouandlous, Arav & Barkoulas, John T. & Alhaj-Yaseen, Yaseen, 2018. "Persistence and discontinuity in the VIX dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 113(C), pages 333-344.
    48. Tan, Zhengxun & Xiao, Binuo & Huang, Yilong & Zhou, Li, 2021. "Value at risk and return in Chinese and the US stock markets: Double long memory and fractional cointegration," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    49. Minxian Yang, 2014. "The Risk Return Relationship: Evidence from Index Return and Realised Variance Series," Discussion Papers 2014-16, School of Economics, The University of New South Wales.
    50. Yang, Minxian, 2019. "The risk return relationship: Evidence from index returns and realised variances," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.

  19. Bent Jesper Christensen & Thomas Elgaard Jensen & Rune Mølgaard, 2007. "Market Power in Power Markets: Evidence from Forward Prices of Electricity," CREATES Research Papers 2007-30, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Weron, Rafał & Zator, Michał, 2014. "Revisiting the relationship between spot and futures prices in the Nord Pool electricity market," Energy Economics, Elsevier, vol. 44(C), pages 178-190.
    2. Marckhoff, Jan & Wimschulte, Jens, 2009. "Locational price spreads and the pricing of contracts for difference: Evidence from the Nordic market," Energy Economics, Elsevier, vol. 31(2), pages 257-268, March.
    3. Christian Redl & Derek Bunn, 2013. "Determinants of the premium in forward contracts," Journal of Regulatory Economics, Springer, vol. 43(1), pages 90-111, January.
    4. Jesús M. López-Lezama & David Tob�n-Orozco & Esteban Velilla & Jorge Barrientos & Fernando Villada, 2018. "Long-term seasonal forwards in electricity generation markets: an application to Colombia," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 37(74), pages 287-314.
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    130. Ma, Feng & Li, Yu & Liu, Li & Zhang, Yaojie, 2018. "Are low-frequency data really uninformative? A forecasting combination perspective," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 92-108.
    131. Daniel Borup & Bent Jesper Christensen & Yunus Emre Ergemen, 2019. "Assessing predictive accuracy in panel data models with long-range dependence," CREATES Research Papers 2019-04, Department of Economics and Business Economics, Aarhus University.
    132. Haugom, Erik & Ullrich, Carl J., 2012. "Forecasting spot price volatility using the short-term forward curve," Energy Economics, Elsevier, vol. 34(6), pages 1826-1833.
    133. Ye, Wuyi & Xia, Wenjing & Wu, Bin & Chen, Pengzhan, 2022. "Using implied volatility jumps for realized volatility forecasting: Evidence from the Chinese market," International Review of Financial Analysis, Elsevier, vol. 83(C).
    134. Fulvio Corsi & Roberto Renò, 2012. "Discrete-Time Volatility Forecasting With Persistent Leverage Effect and the Link With Continuous-Time Volatility Modeling," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 368-380, January.
    135. Baule, Rainer & Korn, Olaf & Saßning, Sven, 2013. "Which beta is best? On the information content of option-implied betas," CFR Working Papers 13-11, University of Cologne, Centre for Financial Research (CFR).
    136. Delis, Panagiotis & Degiannakis, Stavros & Giannopoulos, Kostantinos, 2021. "What should be taken into consideration when forecasting oil implied volatility index?," MPRA Paper 110831, University Library of Munich, Germany.
    137. Xiao, Jihong & Wen, Fenghua & Zhao, Yupei & Wang, Xiong, 2021. "The role of US implied volatility index in forecasting Chinese stock market volatility: Evidence from HAR models," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 311-333.
    138. Caporin, Massimiliano & Kolokolov, Aleksey & Renò, Roberto, 2014. "Multi-jumps," MPRA Paper 58175, University Library of Munich, Germany.
    139. Ji, Qiang & Zhang, Dayong, 2019. "China’s crude oil futures: Introduction and some stylized facts," Finance Research Letters, Elsevier, vol. 28(C), pages 376-380.
    140. Andrew J. Patton & Kevin Sheppard, 2015. "Good Volatility, Bad Volatility: Signed Jumps and The Persistence of Volatility," The Review of Economics and Statistics, MIT Press, vol. 97(3), pages 683-697, July.
    141. Bevilacqua, Mattia & Tunaru, Radu & Vioto, Davide, 2023. "Options-based systemic risk, financial distress, and macroeconomic downturns," Journal of Financial Markets, Elsevier, vol. 65(C).
    142. Adam Clements & Yin Liao & Yusui Tang, 2022. "Moving beyond Volatility Index (VIX): HARnessing the term structure of implied volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 86-99, January.
    143. Anupam Dutta & Debojyoti Das, 2022. "Forecasting realized volatility: New evidence from time‐varying jumps in VIX," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2165-2189, December.
    144. Anupam Dutta, 2025. "Assessing the Risk of Bitcoin Futures Market: New Evidence," Annals of Data Science, Springer, vol. 12(2), pages 481-497, April.
    145. Alekseev, Oleg & Janda, Karel & Petit, Mathieu & Zilberman, David, 2024. "Return and volatility spillovers between the raw material and electric vehicles markets," Energy Economics, Elsevier, vol. 137(C).
    146. Corsi, Fulvio & Fusari, Nicola & La Vecchia, Davide, 2013. "Realizing smiles: Options pricing with realized volatility," Journal of Financial Economics, Elsevier, vol. 107(2), pages 284-304.
    147. Michael Funke & Julius Loermann & Richhild Moessner, 2017. "The discontinuation of the EUR/CHF minimum exchange rate in January 2015: was it expected?," BIS Working Papers 652, Bank for International Settlements.
    148. Basistha, Arabinda & Kurov, Alexander & Wolfe, Marketa Halova, 2019. "Volatility Forecasting: The Role of Internet Search Activity and Implied Volatility," MPRA Paper 111037, University Library of Munich, Germany.
    149. Bo-Young Chang & Peter Christoffersen & Kris Jacobs & Gregory Vainberg, 2009. "Option-Implied Measures of Equity Risk," CIRANO Working Papers 2009s-33, CIRANO.
    150. Psaradellis, Ioannis & Sermpinis, Georgios, 2016. "Modelling and trading the U.S. implied volatility indices. Evidence from the VIX, VXN and VXD indices," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1268-1283.
    151. Chan, Kam Fong & Powell, John G. & Treepongkaruna, Sirimon, 2014. "Currency jumps and crises: Do developed and emerging market currencies jump together?," Pacific-Basin Finance Journal, Elsevier, vol. 30(C), pages 132-157.
    152. Wang Pu & Yixiang Chen & Feng Ma, 2016. "Forecasting the realized volatility in the Chinese stock market: further evidence," Applied Economics, Taylor & Francis Journals, vol. 48(33), pages 3116-3130, July.
    153. Caporin, Massimiliano & Velo, Gabriel G., 2015. "Realized range volatility forecasting: Dynamic features and predictive variables," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 98-112.
    154. Neda Todorova & Michael Soucek & Eduardo Roca, 2015. "Volatility spillovers from international commodity markets to the Australian equity market," Discussion Papers in Finance finance:201505, Griffith University, Department of Accounting, Finance and Economics.
    155. Souček, Michael & Todorova, Neda, 2013. "Realized volatility transmission between crude oil and equity futures markets: A multivariate HAR approach," Energy Economics, Elsevier, vol. 40(C), pages 586-597.
    156. Guo, Hui & Qiu, Buhui, 2014. "Options-implied variance and future stock returns," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 93-113.
    157. Zhiyuan Pan & Jun Zhang & Yudong Wang & Juan Huang, 2024. "Modeling and forecasting stock return volatility using the HARGARCH model with VIX information," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(8), pages 1383-1403, August.
    158. Degiannakis, Stavros & Filis, George & Hassani, Hossein, 2018. "Forecasting global stock market implied volatility indices," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 111-129.
    159. Baruník Jozef & Fišer Pavel, 2024. "Co-Jumping of Treasury Yield Curve Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(3), pages 481-506.
    160. Kuo-Hao Lee & Ahmed Elkassabgi & Wei-Jen Hsieh, 2014. "Volatility of the Utilities Industry: Its Causal Relationship to Other Nine Industries," Review of Economics & Finance, Better Advances Press, Canada, vol. 4, pages 15-22, May.
    161. Ji‐Eun Choi & Dong Wan Shin, 2018. "Forecasts for leverage heterogeneous autoregressive models with jumps and other covariates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(6), pages 691-704, September.
    162. Ma, Feng & Wahab, M.I.M. & Zhang, Yaojie, 2019. "Forecasting the U.S. stock volatility: An aligned jump index from G7 stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 132-146.
    163. Qi Xu & Ying Wang, 2021. "Managing volatility in commodity momentum," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 758-782, May.
    164. Chuxuan Xiao & Winifred Huang & David P. Newton, 2024. "Predicting expected idiosyncratic volatility: Empirical evidence from ARFIMA, HAR, and EGARCH models," Review of Quantitative Finance and Accounting, Springer, vol. 63(3), pages 979-1006, October.
    165. Chao Liang & Yu Wei & Yaojie Zhang, 2020. "Is implied volatility more informative for forecasting realized volatility: An international perspective," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(8), pages 1253-1276, December.
    166. Stavros Degiannakis & Panagiotis Delis & George Filis & George Giannopoulos, 2025. "Trading VIX on Volatility Forecasts: Another Volatility Puzzle?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(4), pages 1602-1618, July.
    167. Feng Ma & Yu Wei & Wang Chen & Feng He, 2018. "Forecasting the volatility of crude oil futures using high-frequency data: further evidence," Empirical Economics, Springer, vol. 55(2), pages 653-678, September.
    168. Maciej Augustyniak & Mathieu Boudreault, 2017. "Mitigating Interest Rate Risk in Variable Annuities: An Analysis of Hedging Effectiveness under Model Risk," North American Actuarial Journal, Taylor & Francis Journals, vol. 21(4), pages 502-525, October.
    169. Kraft, Holger & Schmidt, Alexander, 2013. "Systemic risk in the financial sector: What can se learn from option markets?," SAFE Working Paper Series 25, Leibniz Institute for Financial Research SAFE.
    170. Vortelinos, Dimitrios I. & Lakshmi, Geeta, 2015. "Market risk of BRIC Eurobonds in the financial crisis period," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 295-310.
    171. Li, Yan & Huynh, Luu Duc Toan & Xu, Yongan & Liang, Hao, 2023. "The forecast ability of a belief-based momentum indicator in full-day, daytime, and nighttime volatilities of Chinese oil futures," Energy Economics, Elsevier, vol. 127(PB).
    172. Panagiotis Delis & Stavros Degiannakis & George Filis, 2022. "What matters when developing oil price volatility forecasting frameworks?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 361-382, March.
    173. Dutta, Anupam & Uddin, Gazi Salah & Sheng, Lin Wen & Park, Donghyun & Zhu, Xuening, 2024. "Volatility dynamics of agricultural futures markets under uncertainties," Energy Economics, Elsevier, vol. 136(C).
    174. Min Liu & Wei‐Chong Choo & Chi‐Chuan Lee & Chien‐Chiang Lee, 2023. "Trading volume and realized volatility forecasting: Evidence from the China stock market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(1), pages 76-100, January.
    175. Byounghyun Jeon & Sung Won Seo & Jun Sik Kim, 2020. "Uncertainty and the volatility forecasting power of option‐implied volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1109-1126, July.
    176. Naeem, Muhammad Abubakr & Senthilkumar, Arunachalam & Arfaoui, Nadia & Mohnot, Rajesh, 2024. "Mapping fear in financial markets: Insights from dynamic networks and centrality measures," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
    177. Werner Kristjanpoller, 2024. "A hybrid econometrics and machine learning based modeling of realized volatility of natural gas," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-32, December.
    178. Jia, Xiaolan & Fan, Zheqi & Ruan, Xinfeng, 2025. "Option profit and loss attribution and pricing in the Chinese options market," Pacific-Basin Finance Journal, Elsevier, vol. 91(C).
    179. Danyan Wen & Mengxi He & Yaojie Zhang & Yudong Wang, 2022. "Forecasting realized volatility of Chinese stock market: A simple but efficient truncated approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 230-251, March.
    180. Plíhal, Tomáš & Lyócsa, Štefan, 2021. "Modeling realized volatility of the EUR/USD exchange rate: Does implied volatility really matter?," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 811-829.
    181. Liu, Ya & Qiu, Buhui & Wang, Teng, 2021. "Debt rollover risk, credit default swap spread and stock returns: Evidence from the COVID-19 crisis," Journal of Financial Stability, Elsevier, vol. 53(C).

  21. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2006. "The Information Content Of Treasury Bond Options Concerning Future Volatility And Price Jumps," Working Paper 1188, Economics Department, Queen's University.

    Cited by:

    1. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2008. "The Role Of Implied Volatility In Forecasting Future Realized Volatility And Jumps In Foreign Exchange, Stock, And Bond Markets," Working Paper 1181, Economics Department, Queen's University.
    2. Chan, Kam Fong & Gray, Philip & van Campen, Bart, 2008. "A new approach to characterizing and forecasting electricity price volatility," International Journal of Forecasting, Elsevier, vol. 24(4), pages 728-743.

  22. Henning Bunzel & Bent J. Christensen & Georges R. Neumann & Jean-Marc Robin, 2006. "Structural Models of Wage and Employment Dynamics," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00308804, HAL.

    Cited by:

    1. Pedro S. Amaral & Murat Tasci, 2014. "The Cyclical Behavior of Equilibrium Unemployment and Vacancies Across OECD Countries," Koç University-TUSIAD Economic Research Forum Working Papers 1405, Koc University-TUSIAD Economic Research Forum.
    2. Koen Decancq, 2014. "Copula-based measurement of dependence between dimensions of well-being," Oxford Economic Papers, Oxford University Press, vol. 66(3), pages 681-701.
    3. Rolf Aaberge & Anthony B. Atkinson & Sebastian Königs, 2018. "From classes to copulas: wages, capital, and top incomes," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(2), pages 295-320, June.
    4. Rioux, Laurence & Ortega, Javier, 2006. "On the Extent of Re-Entitlement Effects in Unemployment Compensation," CEPR Discussion Papers 5826, C.E.P.R. Discussion Papers.
    5. Gautier, Pieter A. & Teulings, Coen, 2011. "Sorting and the Output Loss Due to Search Frictions," IZA Discussion Papers 5477, Institute of Labor Economics (IZA).
    6. Eckstein, Zvi & Ge, Suqin & Petrongolo, Barbara, 2006. "Job and Wage Mobility in a Search Model with Non-Compliance (Exemptions) with the Minimum Wage," IZA Discussion Papers 2076, Institute of Labor Economics (IZA).
    7. Bachmann, Ronald & David, Peggy, 2009. "The Importance of Two-Sided Heterogeneity for the Cyclicality of Labour Market Dynamics," Ruhr Economic Papers 124, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Neumann, George & Olitsky, Neal & Robbins, Steve, 2009. "Job congruence, academic achievement, and earnings," Labour Economics, Elsevier, vol. 16(5), pages 503-509, October.
    9. Xiaoming Cai & Pieter A. Gautier & Makoto Watanabe, 2015. "Collective versus Decentralized Wage Bargaining and the Efficient Allocation of Resources," CESifo Working Paper Series 5483, CESifo.
    10. Erhan Artuc & Shubham Chaudhuri & John McLaren, 2007. "Trade Shocks and Labor Adjustment: A Structural Empirical Approach," NBER Working Papers 13465, National Bureau of Economic Research, Inc.
    11. Gautier, Pieter A. & Zenou, Yves, 2010. "Car ownership and the labor market of ethnic minorities," Journal of Urban Economics, Elsevier, vol. 67(3), pages 392-403, May.
    12. Fatih Karahan & Serdar Ozkan & Jae Song, 2022. "Anatomy of Lifetime Earnings Inequality: Heterogeneity in Job Ladder Risk vs. Human Capital," Working Papers 2022-002, Federal Reserve Bank of St. Louis, revised 04 Mar 2023.
    13. Bowlus, Audra J. & Liu, Huju, 2013. "The contributions of search and human capital to earnings growth over the life cycle," European Economic Review, Elsevier, vol. 64(C), pages 305-331.
    14. Uros Delevic & James Kennell, 2022. "Multinationals And Wages: Evidence From Employer–Employee Data In Serbia," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 67(232), pages 49-80, January –.
    15. Lorraine Dearden & Emla Fitzsimons & Alissa Goodman & Greg Kaplan, 2007. "Higher education funding reforms in England: the distributional effects and the shifting balance of costs," IFS Working Papers W07/18, Institute for Fiscal Studies.
    16. Paul Sullivan & Ted To, 2014. "Search and Nonwage Job Characteristics," Journal of Human Resources, University of Wisconsin Press, vol. 49(2), pages 472-507.
    17. Engelhardt, Bryan & Rocheteau, Guillaume & Rupert, Peter, 2007. "Crime and the Labor Market in a Search Model with Pairwise-Efficient Separations," University of California at Santa Barbara, Economics Working Paper Series qt72r6g75d, Department of Economics, UC Santa Barbara.
    18. Yale University & Rafael Lopes de Melo, 2008. "Assortative Matching in the Brazilian Labor Market," 2008 Meeting Papers 801, Society for Economic Dynamics.
    19. Florian Oswald, 2015. "Regional Shocks, Migration and Homeownership," 2015 Meeting Papers 759, Society for Economic Dynamics.
    20. Simon Burgess & Helene Turon, 2005. "Worker Flows, Job Flows and Unemployment in a Matching Model," Bristol Economics Discussion Papers 05/572, School of Economics, University of Bristol, UK.
    21. George Agiomirgianakis & Theodore Lianos & Nicholas Tsounis, 2019. "Returns to Investment in Distance Learning: the Case of Greece," International Business Research, Canadian Center of Science and Education, vol. 12(3), pages 94-100, March.
    22. Jack Britton & Neil Shephard & Laura van der Erve, 2019. "Econometrics of valuing income contingent student loans using administrative data: groups of English students," IFS Working Papers W19/04, Institute for Fiscal Studies.
    23. Jose Mustre-del-Rio, 2012. "Job duration and the cleansing and sullying effects of recessions," Research Working Paper RWP 12-08, Federal Reserve Bank of Kansas City.
    24. Florian Oswald, 2015. "Regional Shocks, Migration and Homeownership," Working Papers hal-03459804, HAL.

  23. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2005. "Forecasting Exchange Rate Volatility In The Presence Of Jumps," Working Paper 1187, Economics Department, Queen's University.

    Cited by:

    1. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2008. "The Role Of Implied Volatility In Forecasting Future Realized Volatility And Jumps In Foreign Exchange, Stock, And Bond Markets," Working Paper 1181, Economics Department, Queen's University.
    2. Chan, Kam Fong & Gray, Philip & van Campen, Bart, 2008. "A new approach to characterizing and forecasting electricity price volatility," International Journal of Forecasting, Elsevier, vol. 24(4), pages 728-743.
    3. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2006. "The Information Content Of Treasury Bond Options Concerning Future Volatility And Price Jumps," Working Paper 1188, Economics Department, Queen's University.
    4. Bunčák, Tomáš, 2013. "Jump Processes in Exchange Rates Modeling," MPRA Paper 49882, University Library of Munich, Germany.
    5. Tomáš Bunčák, 2016. "Exchange Rates Forecasting: Can Jump Models Combined with Macroeconomic Fundamentals Help?," Prague Economic Papers, Prague University of Economics and Business, vol. 2016(5), pages 527-546.

  24. Bent Jesper Christensen & Morten Ø. Nielsen, 2005. "The Implied-realized Volatility Relation With Jumps In Underlying Asset Prices," Working Paper 1186, Economics Department, Queen's University.

    Cited by:

    1. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2008. "The Role Of Implied Volatility In Forecasting Future Realized Volatility And Jumps In Foreign Exchange, Stock, And Bond Markets," Working Paper 1181, Economics Department, Queen's University.
    2. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2006. "The Information Content Of Treasury Bond Options Concerning Future Volatility And Price Jumps," Working Paper 1188, Economics Department, Queen's University.
    3. Wing Hong Chan & Ranjini Jha & Madhu Kalimipalli, 2009. "The Economic Value Of Using Realized Volatility In Forecasting Future Implied Volatility," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 32(3), pages 231-259, September.
    4. Wilkens, Sascha & Roder, Klaus, 2006. "The informational content of option-implied distributions: Evidence from the Eurex index and interest rate futures options market," Global Finance Journal, Elsevier, vol. 17(1), pages 50-74, September.
    5. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2005. "Forecasting Exchange Rate Volatility In The Presence Of Jumps," Working Paper 1187, Economics Department, Queen's University.

  25. Bent Jesper Christensen & Rasmus Lentz & Dale T. Mortensen & George R. Neumann & Axel Werwatz, 2003. "On the Job Search and the Wage Distribution," CAM Working Papers 2004-09, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.

    Cited by:

    1. Gielen, A.C., 2008. "Repeated job quits: stepping stones or learning about quality?," ROA Research Memorandum 010, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    2. Rasmus Lentz & Dale T. Mortensen, 2005. "An Empirical Model of Growth Through Product Innovation," CAM Working Papers 2005-13, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    3. Panagiotis Nanos & Christian Schluter, 2014. "The Composition of Wage Differentials between Migrants and Natives," Post-Print hal-01474436, HAL.
    4. Stockinger, Bastian & Wolf, Katja, 2016. "The productivity effects of worker mobility between heterogeneous firms," IAB-Discussion Paper 201607, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Sílvio Rendon, 2025. "Testing for wage-specific search intensity," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 59(1), pages 1-19, December.
    6. Eeckhout, Jan & Sepahsalari, Alireza, 2021. "The Effect of Wealth on Worker Productivity," CEPR Discussion Papers 16547, C.E.P.R. Discussion Papers.
    7. Moen, Espen R. & Bagger, Jesper & Vejlin, Rune, 2021. "Equilibrium Worker-Firm Allocations and the Deadweight Losses of Taxation," CEPR Discussion Papers 16735, C.E.P.R. Discussion Papers.
    8. Lise, Jeremy & Seitz, Shannon & Smith, Jeffrey A., 2003. "Equilibrium Policy Experiments and the Evaluation of Social Programs," IZA Discussion Papers 758, Institute of Labor Economics (IZA).
    9. Jesper Bagger & Kazuhiko Sumiya & Mads Hejlesen & Rune Majlund Vejlin, 2019. "Income Taxation and the Equilibrium Allocation of Labor," 2019 Meeting Papers 841, Society for Economic Dynamics.
    10. Matthias S. Hertweck & Vivien Lewis & Stefania Villa, 2021. "Going the Extra Mile: Effort by Workers and Job‐Seekers," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(8), pages 2099-2127, December.
    11. Damdinsuren, Erdenebulgan & Zaharieva, Anna, 2018. "Expectation Formation and Learning in the Labour Market with On-the-Job Search and Nash Bargaining," Center for Mathematical Economics Working Papers 604, Center for Mathematical Economics, Bielefeld University.
    12. Dolado, Juan J & Jimeno, Juan Francisco & Jansen, Marcel, 2003. "On-the-Job Search in a Matching Model with Heterogeneous Jobs and Workers," CEPR Discussion Papers 4094, C.E.P.R. Discussion Papers.
    13. Chéron, Arnaud & Hairault, Jean-Olivier & Langot, François, 2008. "A quantitative evaluation of payroll tax subsidies for low-wage workers: An equilibrium search approach," Journal of Public Economics, Elsevier, vol. 92(3-4), pages 817-843, April.
    14. François Fontaine & Janne Nyborg Jensen & Rune Vejlin, 2024. "Wealth, Portfolios, and Unemployment Duration," PSE-Ecole d'économie de Paris (Postprint) halshs-03957323, HAL.
    15. Gottfries, Axel & Teulings, Coen, 2023. "Returns to on-the-job search and wage dispersion," Labour Economics, Elsevier, vol. 80(C).
    16. Fabien Postel-Vinay & Jean-Marc Robin, 2004. "To Match or Not to Match? Optimal Wage Policy With Endogenous Worker Search Intensity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(2), pages 297-330, April.
    17. Kaas Leo, 2010. "Variable Search Intensity with Coordination Unemployment," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-33, October.
    18. Daniel Martin & Olivier Pierrard, 2011. "On-the-job Search and Cyclical Unemployment: Crowding Out vs. Vacancy Effects," BCL working papers 64, Central Bank of Luxembourg.
    19. Lise, Jeremy & Seitz, Shannon & Smith, Jeffrey A., 2005. "Evaluating Search and Matching Models Using Experimental Data," IZA Discussion Papers 1717, Institute of Labor Economics (IZA).
    20. Giuseppe Moscarini, 2005. "Equilibrium Wage Dispersion: Monopsony or Sorting?," Rivista di Politica Economica, SIPI Spa, vol. 95(2), pages 3-24, March-Apr.
    21. Espen R Moen & Rasmus Lentz, 2017. "Competitive or Random Search?," 2017 Meeting Papers 1128, Society for Economic Dynamics.
    22. Jean‐Baptiste Michau, 2021. "On the Provision of Insurance against Search‐Induced Wage Fluctuations," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(1), pages 382-414, January.
    23. Gerard J. van den Berg & Aico van Vuuren, 2002. "The Effect of Search Frictions on Wages," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C1-2, International Conferences on Panel Data.
    24. Christian M. Dahl & Daniel le Maire & Jakob R. Munch, 2011. "Wage Dispersion and Decentralization of Wage Bargaining," CREATES Research Papers 2011-48, Department of Economics and Business Economics, Aarhus University.
    25. Braunschweig, Luisa & Dauth, Wolfgang & Roth, Duncan H.W., 2024. "Job Mobility and Assortative Matching," IZA Discussion Papers 17207, Institute of Labor Economics (IZA).
    26. Yun Pei & Zoe Xie, 2016. "A Quantitative Theory of Time-Consistent Unemployment Insurance," FRB Atlanta Working Paper 2016-11, Federal Reserve Bank of Atlanta.
    27. Rasmus Lentz & Jesper Bagger, 2009. "An Empirical Model of Wage Dispersion with Sorting," 2009 Meeting Papers 964, Society for Economic Dynamics.
    28. Jeremy Lise, 2011. "On-the-Job Search and Precautionary Savings: Theory and Empirics of Earnings and Wealth Inequality," IFS Working Papers W11/16, Institute for Fiscal Studies.
    29. Kuhn, Johan Moritz, 2007. "My Pay is Too Bad (I Quit). Your Pay is Too Good (You're Fired)," Working Papers 07-5, University of Aarhus, Aarhus School of Business, Department of Economics.
    30. Paul Gomme & Damba Lkhagvasuren, 2013. "The Cyclicality of Search Intensity in a Competitive Search Model," Working Papers 13002, Concordia University, Department of Economics, revised Sep 2013.
    31. Julien Prat, 2006. "The Rate of Learning-by-Doing: Estimates from a Search-Matching Model," 2006 Meeting Papers 647, Society for Economic Dynamics.
    32. David Card & Zhuan Pei & David S. Lee & Andrea Weber, 2014. "Inference on Causal Effects in a Generalized Regression Kink Design," Working Papers 83, Brandeis University, Department of Economics and International Business School, revised Jan 2015.
    33. StÈphane Bonhomme & GrÈgory Jolivet, 2009. "The pervasive absence of compensating differentials," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(5), pages 763-795.
    34. Zaharieva, Anna, 2015. "Social contacts and referrals in a labor market with on-the-job search," Labour Economics, Elsevier, vol. 32(C), pages 27-43.
    35. Rasmus Lentz & Nicolas Roys, 2024. "Training and Search On the Job," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 53, pages 123-146, July.
    36. van der Klaauw, Bas & van Vuuren, Aico, 2010. "Job search and academic achievement," European Economic Review, Elsevier, vol. 54(2), pages 294-316, February.
    37. Jesper Bagger & Morten Henningsen, 2008. "Job Durations and the Job Search Model: A Two-Country, Multi-Sample Analysis," Discussion Papers 553, Statistics Norway, Research Department.
    38. Emmanuele Bobbio & Henning Bunzel, 2018. "The Danish Matched Employer-Employee Data," Economics Working Papers 2018-03, Department of Economics and Business Economics, Aarhus University.
    39. R. Jason Faberman & Marianna Kudlyak, 2016. "The Intensity of Job Search and Search Duration," Working Paper Series 2016-13, Federal Reserve Bank of San Francisco.
    40. Moon, Ji-Woong, 2023. "Strategic referrals and on-the-job search equilibrium," Journal of Monetary Economics, Elsevier, vol. 134(C), pages 135-151.
    41. van der Klaauw, Bas & van Vuuren, Aico & Berkhout, Peter, 2004. "Labour Market Prospects, Search Intensity and Transition from College to Work," CEPR Discussion Papers 4515, C.E.P.R. Discussion Papers.
    42. Gregory Veramendi, 2012. "Labor Market Dynamics: A Model of Search and Human Capital Accumulation," 2012 Meeting Papers 1059, Society for Economic Dynamics.
    43. Choi, Jung Ho & Gipper, Brandon, 2019. "Fraudulent Financial Reporting and the Consequences for Employees," Research Papers 3771, Stanford University, Graduate School of Business.
    44. Rujiwattanapong, W. Similan, 2019. "Unemployment dynamics and endogenous unemployment insurance extensions," LSE Research Online Documents on Economics 100948, London School of Economics and Political Science, LSE Library.
    45. Thomas A. Lubik & Michael U. Krause, 2005. "On-the-job Search and the Cyclical Dynamics of the Labor Market," 2005 Meeting Papers 792, Society for Economic Dynamics.
    46. Cristian Bartolucci, 2011. "Business Cycles and Wage Rigidity," Carlo Alberto Notebooks 205, Collegio Carlo Alberto.
    47. Marco Leonardi, 2017. "Job Mobility And Earnings Instability," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 260-280, January.
    48. Katsuya Takii, 2005. "Limited Attention, Interaction and the Growth of a Firm," Macroeconomics 0506005, University Library of Munich, Germany.
    49. Zuchuat, Jeremy & Lalive, Rafael & Osikominu, Aderonke & Pesaresi, Lorenzo & Zweimüller, Josef, 2023. "Duration Dependence in Finding a Job: Applications, Interviews, and Job Offers," CEPR Discussion Papers 18600, C.E.P.R. Discussion Papers.
    50. Ping Yan, 2013. "How much do Workers Search?," Annals of Economics and Finance, Society for AEF, vol. 14(1), pages 249-277, May.
    51. Niklas Engbom, 2019. "Application Cycles," 2019 Meeting Papers 1170, Society for Economic Dynamics.
    52. Pierre Cahuc & Fabien Postel-Vinay & Jean-Marc Robin, 2006. "Wage bargaining with on-the-job search: theory and evidence," Post-Print hal-03471856, HAL.
    53. Rune Vejlin, 2011. "Optimal Unemployment Insurance: How Important is the Demand Side?," Economics Working Papers 2011-03, Department of Economics and Business Economics, Aarhus University.
    54. Luca Paolo Merlino & Pierpaolo Parrotta & Dario Pozzoli, 2018. "Gender Differences in Sorting," ULB Institutional Repository 2013/350829, ULB -- Universite Libre de Bruxelles.
    55. Takii, Katsuya, 2009. "Limited attention, interaction and the gradual adjustment of a firm's decisions," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 345-362, February.
    56. Hui Wang & Shu Xu, 2022. "Heterogeneity Effect of Corporate Financialization on Total Factor Productivity," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
    57. W. Similan Rujiwattanapong, 2018. "Unemployment Insurance and Labour Productivity over the Business Cycle," Discussion Papers 1828, Centre for Macroeconomics (CFM).
    58. Ge, Teng, 2015. "Does search boost efficiency?," Economics Letters, Elsevier, vol. 130(C), pages 72-74.
    59. Jesper Bagger & Rasmus Lentz, 2014. "An Empirical Model of Wage Dispersion with Sorting," Economics Working Papers 2014-11, Department of Economics and Business Economics, Aarhus University.
    60. Andreas Hornstein & Per Krusell & Giovanni L. Violante, 2011. "Frictional Wage Dispersion in Search Models: A Quantitative Assessment," American Economic Review, American Economic Association, vol. 101(7), pages 2873-2898, December.
    61. Carlos Carrillo-Tudela & Eric Smith, 2009. "Wage dispersion and wage dynamics within and across firms," FRB Atlanta Working Paper 2009-22, Federal Reserve Bank of Atlanta.
    62. Pieter Gautier & Jose Luis Moraga-Gonzalez & Ronald Wolthoff, 2007. "Structural Estimation of Search Intensity: Do non-employed workers search hard enough?," 2007 Meeting Papers 695, Society for Economic Dynamics.
    63. Hairault, Jean-Olivier & Langot, Francois & Sopraseuth, Thepthida, 2019. "Unemployment fluctuations over the life cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 334-352.
    64. Grégory Jolivet & Fabien Postel-Vinay & Jean-Marc Robin, 2006. "The Empirical Content of the Job Search Model: Labor Mobility and Wage Distributions in Europe and the U.S," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00308803, HAL.
    65. Robert E. Hall & Andreas I. Mueller, 2015. "Wage Dispersion and Search Behavior," Economics Working Papers 15119, Hoover Institution, Stanford University.
    66. Ying Li & Abdullah Yavas, 2015. "Residential Brokerage in Hot and Cold Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 51(1), pages 1-21, July.
    67. G. Sulis, 2007. "Gender Wage Differentials in Italy: a Structural Estimation Approach," Working Paper CRENoS 200715, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    68. Bowlus, Audra J. & Liu, Huju, 2013. "The contributions of search and human capital to earnings growth over the life cycle," European Economic Review, Elsevier, vol. 64(C), pages 305-331.
    69. Marotzke, Petra, 2013. "Job Search and the Age-Inequality Profile," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 80007, Verein für Socialpolitik / German Economic Association.
    70. Papp, Tamás K., 2015. "The structure of labor market flows," Economics Series 318, Institute for Advanced Studies.
    71. Rasmus Lentz, 2012. "An Empirical Model of Wage Dispersion with Sorting," 2012 Meeting Papers 1040, Society for Economic Dynamics.
    72. Gomme, Paul & Lkhagvasuren, Damba, 2015. "Worker search effort as an amplification mechanism," Journal of Monetary Economics, Elsevier, vol. 75(C), pages 106-122.
    73. Giovanni Sulis, 2008. "Wage Dispersion and Equilibrium Search Models: Some Evidence from Italy," LABOUR, CEIS, vol. 22(4), pages 593-627, December.
    74. Nebiyou Tilahun & David M. Levinson, 2013. "An Agent-Based Model of Origin Destination Estimation (ABODE)," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(1), pages 73-88.
    75. Andreas Hornstein & Per Krusell & Giovanni L. Violante, 2006. "Technical appendix for \"Frictional wage dispersion in search models: a quantitative assessment\"," Working Paper 06-08, Federal Reserve Bank of Richmond.
    76. Bandopadhyay, Titas Kumar, 2014. "Efficiency Wage in the Frictional Labour Market- A Theoretical Analysis," MPRA Paper 60124, University Library of Munich, Germany.
    77. Kyyrä, Tomi, 2001. "Estimating Equilibrium Search Models from Finnish Data," Discussion Papers 256, VATT Institute for Economic Research.
    78. Galindo-Rueda, Fernando, 2002. "Endogenous Wage and Capital Dispersion, On-the-Job Search and the Matching Technology," IZA Discussion Papers 625, Institute of Labor Economics (IZA).
    79. Robert E. Hall & Andreas I. Mueller, 2018. "Wage Dispersion and Search Behavior: The Importance of Nonwage Job Values," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1594-1637.
    80. Basu, Parantap & Chivers, David & Park, Changhyun, 2024. "Labour immobility between industries: Consequences for the macroeconomy," Economic Systems, Elsevier, vol. 48(2).
    81. Bent Christensen & Jesper Bagger, 2014. "Wage and Productivity Dispersion: The Roles of Rent Sharing, Labor Quality and Capital Intensity," 2014 Meeting Papers 473, Society for Economic Dynamics.
    82. Lentz, Rasmus, 2010. "Sorting by search intensity," Journal of Economic Theory, Elsevier, vol. 145(4), pages 1436-1452, July.
    83. Giuseppe Moscarini, 2008. "Job-to-Job Quits and Corporate Culture: New Results," 2008 Meeting Papers 153, Society for Economic Dynamics.
    84. Lykke E. Andersen & Bent Jesper Christensen, 2006. "Labor Mobility in Bolivia: On-the-job Search Behavior of Private and Public Sector Employees," Development Research Working Paper Series 01/2006, Institute for Advanced Development Studies.
    85. Chiara Mussida & Luca Zanin, 2020. "I found a better job opportunity! Voluntary job mobility of employees and temporary contracts before and after the great recession in France, Italy and Spain," Empirical Economics, Springer, vol. 59(1), pages 47-98, July.
    86. Pieter A. Gautier & Jose Luis Moraga-Gonzalez & Ronald P. Wolthoff, 2007. "Structural Estimation of Search Intensity: Do Non-Employed Workers Search Enough?," Tinbergen Institute Discussion Papers 07-071/3, Tinbergen Institute.
    87. Maximilian Joseph Blömer & Nicole Guertzgen & Laura Pohlan & Holger Stichnoth & Gerard J. Van den Berg, 2018. "Unemployment Effects of the German Minimum Wage in an Equilibrium Job Search Model," CESifo Working Paper Series 7160, CESifo.
    88. Bryson, Alex & Dale-Olsen, Harald, 2024. "Job Search, Efficiency Wages and Taxes," IZA Discussion Papers 17385, Institute of Labor Economics (IZA).
    89. R. Jason Faberman & Andreas I. Mueller & Ayşegül Şahin & Giorgio Topa, 2022. "Job Search Behavior Among the Employed and Non‐Employed," Econometrica, Econometric Society, vol. 90(4), pages 1743-1779, July.
    90. Mueller, Andreas, 2010. "On-the-job search and wage dispersion: New evidence from time use data," Economics Letters, Elsevier, vol. 109(2), pages 124-127, November.
    91. Meinen, Philipp & Parrotta, Pierpaolo & Sala, Davide & Yalcin, Erdal, 2022. "Managers as knowledge carriers – Explaining firms’ internationalization success with manager mobility," Journal of International Economics, Elsevier, vol. 138(C).
    92. Katarína Borovičková & Robert Shimer, 2017. "High Wage Workers Work for High Wage Firms," NBER Working Papers 24074, National Bureau of Economic Research, Inc.
    93. Elisabetta Marzano, 2008. "Search on the job in European countries: evidence based on the European Community Household Panel Survey (ECHP)," Working Papers 7_2008, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
    94. Shaimaa Yassin, 2013. "Structural Labor Market Transitions and Wage Dispersion in Egypt and Jordan," Working Papers 753, Economic Research Forum, revised May 2013.
    95. Andrew Shephard, 2011. "Equilibrium Search and Tax Credit Reform," Working Papers 1336, Princeton University, Department of Economics, Center for Economic Policy Studies..
    96. David M. Arseneau & Brendan Epstein, 2014. "Offshoring, Mismatch, and Labor Market Outcomes," International Finance Discussion Papers 1118, Board of Governors of the Federal Reserve System (U.S.).
    97. S. Nuray Akin & Brennan Platt, 2012. "Running Out of Time: Limited Unemployment Benefits and Reservation Wages," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(2), pages 149-170, April.
    98. Marianna Kudlyak & Andreas Hornstein, 2017. "Estimating Matching Efficiency with Variable Search Effort," 2017 Meeting Papers 881, Society for Economic Dynamics.
    99. Compton, Andrew, 2019. "A Search Theoretic Model of Part-Time Employment and Multiple Job Holdings," MPRA Paper 97003, University Library of Munich, Germany.
    100. John Kennes & Daniel le Maire, 2010. "Coordination Frictions and Job Heterogeneity: A Discrete Time Analysis," Economics Working Papers 2010-05, Department of Economics and Business Economics, Aarhus University.
    101. Rendon, Silvio, 2023. "Wage-Specific Search Intensity," IZA Discussion Papers 15971, Institute of Labor Economics (IZA).
    102. Herbold, Daniel, 2013. "Effort Incentives and On-the-Job Search: An Alternative Role for Efficiency Wages in Employment Contracts," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79983, Verein für Socialpolitik / German Economic Association.
    103. Roberto Bonilla & Francis Kiraly, 2019. "Male Investment in Schooling with Frictional Labour and Marriage Markets," CESifo Working Paper Series 7901, CESifo.
    104. Kaiser, Ulrich & Kuhn, Johan Moritz, 2019. "Who Founds? An Analysis of University and Corporate Startup Entrepreneurs Based on Danish Register Data," IZA Discussion Papers 12191, Institute of Labor Economics (IZA).
    105. Marilyn Pease & Kyungmin Kim, 2014. "Costly Search with Adverse Selection: Solicitation Curse vs. Accelerating Blessing," 2014 Meeting Papers 816, Society for Economic Dynamics.
    106. Espen R. Moen & Anna Godøy, 2011. "Taking competitive search to data," 2011 Meeting Papers 880, Society for Economic Dynamics.
    107. Munch, Jakob Roland & Whitta-Jacobson, Hans-Jørgen & Kreiner, Claus Thustrup, 2013. "Taxation and the Long Run Allocation of Labor: Theory and Danish Evidence," CEPR Discussion Papers 9275, C.E.P.R. Discussion Papers.
    108. Herbold, Daniel & Schumacher, Heiner, 2020. "The agency costs of on-the-job search," Games and Economic Behavior, Elsevier, vol. 121(C), pages 435-452.
    109. Herbold, Daniel, 2014. "A repeated principal-agent model with on-the-job search," SAFE Working Paper Series 64, Leibniz Institute for Financial Research SAFE.
    110. Potter, Tristan, 2021. "Learning and job search dynamics during the Great Recession," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 706-722.
    111. Violante, Giovanni & Hornstein, Andreas, 2006. "Frictional Wage Dispersion in Search Models: A Quantitative Approach," CEPR Discussion Papers 5935, C.E.P.R. Discussion Papers.
    112. Guillaume Rocheteau & Murat Tasci, 2008. "Positive and normative effects of a minimum wage," Working Papers (Old Series) 0801, Federal Reserve Bank of Cleveland.
    113. Jesper Bagger & Espen Moen & Rune Vejlin, 2018. "Optimal Taxation with On-the-Job Search," 2018 Meeting Papers 805, Society for Economic Dynamics.
    114. van Huizen, Thomas & Alessie, Rob, 2015. "Time preferences and career investments," Labour Economics, Elsevier, vol. 35(C), pages 77-92.
    115. Arellano-Bover, Jaime, 2020. "Career Consequences of Firm Heterogeneity for Young Workers: First Job and Firm Size," IZA Discussion Papers 12969, Institute of Labor Economics (IZA).
    116. Krishna, Pravin & Poole, Jennifer P. & Senses, Mine Zeynep, 2011. "Trade liberalization, firm heterogeneity, and wages : new evidence from matched employer-employee data," Policy Research Working Paper Series 5711, The World Bank.
    117. Kamar, Marie-Claude & Magnani, Riccardo, 2024. "Population aging, pensions, informality and labor market frictions in Lebanon. Reforms and policy choices," International Economics, Elsevier, vol. 179(C).
    118. Jolivet, Grégory, 2009. "A longitudinal analysis of search frictions and matching in the U.S. labor market," Labour Economics, Elsevier, vol. 16(2), pages 121-134, April.
    119. Hiroaki Miyamoto & Yuya Takahashi, 2008. "Productivity Growth, On-the-Job Search, and Unemployment," Working Papers EMS_2011_06, Research Institute, International University of Japan, revised Feb 2011.
    120. Rasmus Lentz & Jesper Bagger, 2015. "An Empirical Model of Wage Dispersion with Sorting," 2015 Meeting Papers 1345, Society for Economic Dynamics.
    121. Bandopadhyay, Titas Kumar, 2014. "Efficiency Wage and Endogenous Job Destruction in the DMP Model----- an Extension," MPRA Paper 59564, University Library of Munich, Germany.

  26. Bent Jesper Christensen & Nicholas Kiefer, 2000. "Panel Data, Local Cuts, and Orthogeodesic Models," Econometric Society World Congress 2000 Contributed Papers 1108, Econometric Society.

    Cited by:

    1. Pedersen, Peder J. & Smith, Nina, 2001. "International Migration and Migration policy in Denmark," CLS Working Papers 01-5, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    2. Ip, Edward H. & Wang, Yuchung J., 2008. "A note on cuts for contingency tables," Journal of Multivariate Analysis, Elsevier, vol. 99(10), pages 2356-2363, November.
    3. Ortega, Jaime, 2000. "Job Rotation as a Mechanism for Learning," CLS Working Papers 00-4, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    4. Westergaard-Nielsen, Niels, 2001. "Danish Labour Market Policy: Is it worth it?," CLS Working Papers 01-10, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.

  27. An, M.Y. & Christensen, B.J. & Gupta, N.D., 1999. "A Bivariate Duration Model of the Joint Retirement Decisions of Married Couples," Papers 99-10, Centre for Labour Market and Social Research, Danmark-.

    Cited by:

    1. Thomas Barnay & François Legendre, 2012. "Simultaneous causality between health status and employment status within the population aged 30-59 in France," Working Papers hal-00717439, HAL.
    2. Thomas Barnay, 2005. "Santé déclarée et cessation d'activité," Revue Française d'Économie, Programme National Persée, vol. 20(2), pages 73-106.
    3. Madelín Goméz-León & Pau Miret-Gamundi, 2014. "Working after age 50 in Spain. Is the trend towards early retirement reversing?," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 12(1), pages 115-140.
    4. Zhiyang Jia, 2005. "Spousal Influence on Early Retirement Behavior," Discussion Papers 406, Statistics Norway, Research Department.
    5. Zhiyang Jia, 2005. "Retirement Behavior of Working Couples in Norway. A Dynamic Programming Approach," Discussion Papers 405, Statistics Norway, Research Department.
    6. Luca Spataro, 2002. "New Tools in Micromodeling Retirement Decisions: Overview and Applications to the Italian Case," CeRP Working Papers 28, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    7. Béatrice Sédillot & Emmanuelle Walraet & Antoine Bommier, 2002. "La cessation d’activité au sein des couples : y-a-t-il interdépendance des choix ? Suivi d'un commentaire d’Antoine Bommier," Économie et Statistique, Programme National Persée, vol. 357(1), pages 79-102.
    8. Hakola, Tuulia, 2002. "Alternative Approaches to Model Withdrawals from the Labour Market – A Literature Review," Working Paper Series 2003:4, Uppsala University, Department of Economics.

  28. Christensen, B.J. & Jensen, P. & Nielsen, M.S. & Poulsen, K. & Rosholm, M., 1999. "The Equilibrium Search Model with Productivity Dispersion and Structural Unemployment: an Application to Danish Data," Papers 99-12, Centre for Labour Market and Social Research, Danmark-.

    Cited by:

    1. Rosholm, Michael & Svarer, Michael, 2004. "Endogenous wage dispersion in a search-matching model," Labour Economics, Elsevier, vol. 11(5), pages 623-645, October.
    2. Launov, Andrey & Wolff, Joachim & Klasen, Stephan, 2004. "Unemployment Benefits and Unemployment Rates of Low-Skilled and Elder Workers in West Germany: A Search Equilibrium Approach," IZA Discussion Papers 1161, Institute of Labor Economics (IZA).

  29. Bunzel, H. & Christensen, B.J. & Kiefer, N.M. & Korsholm, L., 1999. "Equilibrium Search with Human Capital Accumulation," Papers 99-11, Centre for Labour Market and Social Research, Danmark-.

    Cited by:

    1. Jesper Bagger & Francois Fontaine & Jean-Marc Robin, 2014. "Tenure, experience, human capital and wages: a tractable equilibrium search model of wage dynamics," CeMMAP working papers 12/14, Institute for Fiscal Studies.
    2. Melvyn Coles & Carlos Carrillo-Tudela & Ken Burdett, 2008. "Human Capital Accumulation and Labor Market Equilibrium," 2008 Meeting Papers 1088, Society for Economic Dynamics.
    3. Xiao Ma & Alejandro Nakab & Daniela Vidart, 2021. "Human Capital Investment and Development: The Role of On-the-job Training," Working papers 2021-10, University of Connecticut, Department of Economics, revised Aug 2022.
    4. Jesper Bagger & Francois Fontaine & Fabien Postel-Vinay & Jean-Marc Robin, 2014. "Tenure, Experience, Human Capital, and Wages," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01301431, HAL.
    5. Gregory Veramendi, 2012. "Labor Market Dynamics: A Model of Search and Human Capital Accumulation," 2012 Meeting Papers 1059, Society for Economic Dynamics.
    6. Carrillo-Tudela, Carlos, 2012. "Job Search, Human Capital and Wage Inequality," IZA Discussion Papers 6949, Institute of Labor Economics (IZA).
    7. Amit Friedman, 2005. "Wage Distribution and Economic Growth," Bank of Israel Working Papers 2005.13, Bank of Israel.
    8. Ma, Xiao & Muendler, Marc-Andreas & Nakab, Alejandro, 2020. "Learning by Exporting and Wage Profiles: New Evidence from Brazil," MPRA Paper 109497, University Library of Munich, Germany, revised 31 Aug 2021.
    9. Arnaud Lefranc, 2002. "Labor Market Dynamics and Wage Losses of Displaced Workers in France and the United-States," THEMA Working Papers 2002-15, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    10. Xiao Ma & Alejandro Nakab & Daniela Vidart, 2022. "How do Workers Learn? Theory and Evidence on the Roots of Lifecycle Human Capital Accumulation," Working papers 2022-11, University of Connecticut, Department of Economics, revised Dec 2024.

  30. Christensen, B.J. & Gupta, N.D., 1999. "The Effects of Pension System on Retirement and Government Finances: Predictions Using Danish Data on Married Couples," Papers 99-1, Aarhus School of Business - Department of Economics.

    Cited by:

    1. Paul Bingley & Nabanita Datta Gupta & Peder J. Pedersen, 2004. "The Impact of Incentives on Retirement in Denmark," NBER Chapters, in: Social Security Programs and Retirement around the World: Micro-Estimation, pages 153-234, National Bureau of Economic Research, Inc.

  31. An, Mark Y. & Christensen, Bent Jesper & Kiefer, Nicholas M., 1998. "Approximate Distributions in Essentially Linear Models," Working Papers 98-10, Duke University, Department of Economics.

    Cited by:

    1. Pedersen, Peder J. & Smith, Nina, 2001. "International Migration and Migration policy in Denmark," CLS Working Papers 01-5, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    2. Ortega, Jaime, 2000. "Job Rotation as a Mechanism for Learning," CLS Working Papers 00-4, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    3. Westergaard-Nielsen, Niels, 2001. "Danish Labour Market Policy: Is it worth it?," CLS Working Papers 01-10, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.

  32. Björk, Tomas & Christensen, Bent Jesper, 1997. "Interest Rate Dynamics and Consistent Forward Rate Curves," SSE/EFI Working Paper Series in Economics and Finance 209, Stockholm School of Economics.

    Cited by:

    1. Tomas Björk & Magnus Blix & Camilla Landén, 2006. "On Finite Dimensional Realizations For The Term Structure Of Futures Prices," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 281-314.
    2. Francis X. Diebold & Canlin Li, 2002. "Forecasting the Term Structure of Government Bond Yields," Center for Financial Institutions Working Papers 02-34, Wharton School Center for Financial Institutions, University of Pennsylvania.
    3. Mr. Rodrigo Cabral & Mr. Richard Munclinger & Mr. Luiz Alves & Mr. Marco Rodriguez Waldo, 2011. "On Brazil’s Term Structure: Stylized Facts and Analysis of Macroeconomic Interactions," IMF Working Papers 2011/113, International Monetary Fund.
    4. Andrea Roncoroni & Stefano Galluccio & Paolo Guiotto, 2010. "Shape factors and cross-sectional risk," Post-Print hal-00736733, HAL.
    5. Joseph P. Byrne & Shuo Cao. & Dimitris Korobilis., 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," Working Papers 2015_08, Business School - Economics, University of Glasgow.
    6. Martin M. Andreasen & Jens H.E. Christensen & Glenn D. Rudebusch, 2017. "Term Structure Analysis with Big Data," CREATES Research Papers 2017-31, Department of Economics and Business Economics, Aarhus University.
    7. Bjork, Tomas, 2009. "Arbitrage Theory in Continuous Time," OUP Catalogue, Oxford University Press, edition 3, number 9780199574742, Decembrie.
    8. Takamizawa, Hideyuki, 2022. "How arbitrage-free is the Nelson–Siegel model under stochastic volatility?," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 205-223.
    9. De Rossi, Giuliano, 2004. "Kalman filtering of consistent forward rate curves: a tool to estimate and model dynamically the term structure," Journal of Empirical Finance, Elsevier, vol. 11(2), pages 277-308, March.
    10. Buraschi, Andrea & Corielli, Francesco, 2005. "Risk management implications of time-inconsistency: Model updating and recalibration of no-arbitrage models," Journal of Banking & Finance, Elsevier, vol. 29(11), pages 2883-2907, November.
    11. Jens H. E. Christensen & Francis X. Diebold & Glenn D. Rudebusch, 2008. "An arbitrage-free generalized Nelson-Siegel term structure model," Working Paper Series 2008-07, Federal Reserve Bank of San Francisco.
    12. Leo Krippner, 2012. "A theoretical foundation for the Nelson and Siegel class of yield curve models," CAMA Working Papers 2012-11, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    13. Wali Ullah & Yasumasa Matsuda, 2014. "Generalized Nelson-Siegel Term Structure Model : Do the second slope and curvature factors improve the in-sample fit and out-of-sample forecast?," TERG Discussion Papers 312, Graduate School of Economics and Management, Tohoku University.
    14. Wali Ullah, 2020. "The arbitrage-free generalized Nelson–Siegel term structure model: Does a good in-sample fit imply better out-of-sample forecasts?," Empirical Economics, Springer, vol. 59(3), pages 1243-1284, September.
    15. Hautsch, Nikolaus & Yang, Fuyu, 2012. "Bayesian inference in a Stochastic Volatility Nelson–Siegel model," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3774-3792.
    16. Sascha Meyer & Willi Schwarz, 2003. "A PDE based Implementation of the Hull&White Model for Cashflow Derivatives," Computational Statistics, Springer, vol. 18(3), pages 417-434, September.
    17. Andreasen, Martin M. & Christensen, Bent Jesper, 2015. "The SR approach: A new estimation procedure for non-linear and non-Gaussian dynamic term structure models," Journal of Econometrics, Elsevier, vol. 184(2), pages 420-451.
    18. Renato França & Raquel M. Gaspar, 2023. "On the Bias of the Unbiased Expectation Theory," Mathematics, MDPI, vol. 12(1), pages 1-20, December.
    19. Diana Zigraiova & Petr Jakubik, 2017. "Updating the Long Term Rate in Time: A Possible Approach," Working Papers IES 2017/03, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Mar 2017.
    20. Erhan Bayraktar & Li Chen & H. Vincent Poor, 2005. "Consistency Problems for Jump-diffusion Models," Applied Mathematical Finance, Taylor & Francis Journals, vol. 12(2), pages 101-119.
    21. Daniel Vela, 2013. "Forecasting Latin-American yield curves: An artificial neural network approach," Borradores de Economia 761, Banco de la Republica de Colombia.
    22. Vahidin Jeleskovic & Anastasios Demertzidis, 2018. "Comparing different methods for the estimation of interbank intraday yield curves," MAGKS Papers on Economics 201839, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    23. Gaspar, Raquel M., 2004. "General Quadratic Term Structures of Bond, Futures and Forward Prices," SSE/EFI Working Paper Series in Economics and Finance 559, Stockholm School of Economics.
    24. Diana Zigraiova & Petr Jakubik, 2017. "Updating the Ultimate Forward Rate over Time: A Possible Approach," Working Papers 2017/03, Czech National Bank, Research and Statistics Department.
    25. Lauren Stagnol, 2017. "Introducing global term structure in a risk parity framework," EconomiX Working Papers 2017-23, University of Paris Nanterre, EconomiX.
    26. Virmani, Vineet, 2014. "Model Risk in Pricing Path-dependent Derivatives: An Illustration," IIMA Working Papers WP2014-03-22, Indian Institute of Management Ahmedabad, Research and Publication Department.
    27. Jmaes McNeil, 2020. "Monetary policy and the term structure of Inflation expectations with information frictions," Working Papers daleconwp2020-07, Dalhousie University, Department of Economics.
    28. Mikael Elhouar, 2008. "Finite-dimensional Realizations of Regime-switching HJM Models," Applied Mathematical Finance, Taylor & Francis Journals, vol. 15(4), pages 331-354.
    29. Almeida, Caio & Ardison, Kym & Kubudi, Daniela, 2014. "Approximating Risk Premium on a Parametric Arbitrage-free Term Structure Model," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 34(2), November.
    30. Andreasen, Martin M. & Christensen, Jens H.E. & Rudebusch, Glenn D., 2019. "Term Structure Analysis with Big Data: One-Step Estimation Using Bond Prices," Journal of Econometrics, Elsevier, vol. 212(1), pages 26-46.
    31. Markus Leippold & Liuren Wu, 2003. "Design and Estimation of Quadratic Term Structure Models," Review of Finance, European Finance Association, vol. 7(1), pages 47-73.
    32. Diebold, Francis X., 2004. "The Nobel Memorial Prize for Robert F. Engle," CFS Working Paper Series 2004/11, Center for Financial Studies (CFS).
    33. Maria B. Chiarolla & Tiziano De Angelis, 2012. "Analytical Pricing of American Bond Options in the Heath-Jarrow-Morton Model," Papers 1212.0781, arXiv.org, revised Mar 2014.
    34. Donati, Paola & Donati, Francesco, 2008. "Modelling and Forecasting the Yield Curve under Model uncertainty," Working Paper Series 917, European Central Bank.
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  34. Martin M. Andreasen & Bent Jesper Christensen, "undated". "The SR Approach: a new Estimation Method for Non-Linear and Non-Gaussian Dynamic Term Structure Models," CREATES Research Papers 2010-12, Department of Economics and Business Economics, Aarhus University.

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    1. Martin M Andreasen & Andrew Meldrum, 2015. "Market beliefs about the UK monetary policy life-off horizon: a no-arbitrage shadow rate term structure model approach," Bank of England working papers 541, Bank of England.
    2. Martin M Andreasen & Andrew Meldrum, 2015. "Dynamic term structure models: the best way to enforce the zero lower bound in the United States," Bank of England working papers 550, Bank of England.

  35. Bent Jesper Christensen & Morten Ø. Nielsen, "undated". "Semiparametric Analysis of Stationary Fractional Cointegration and the Implied-Realized Volatility Relation in High-Frequency Options Data," Economics Working Papers 2001-4, Department of Economics and Business Economics, Aarhus University.

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    2. Nielsen, Morten Orregaard & Shimotsu, Katsumi, 2007. "Determining the cointegrating rank in nonstationary fractional systems by the exact local Whittle approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 574-596, December.
    3. Javier Hualde & Peter M Robinson, 2006. "Semiparametric Estimation of Fractional Cointegration," STICERD - Econometrics Paper Series 502, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    4. da Silva, Afonso Gonçalves & Robinson, Peter M., 2008. "Fractional Cointegration In Stochastic Volatility Models," Econometric Theory, Cambridge University Press, vol. 24(5), pages 1207-1253, October.
    5. Robinson Kruse & Christian Leschinski & Michael Will, 2016. "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," CREATES Research Papers 2016-17, Department of Economics and Business Economics, Aarhus University.
    6. Cassola, Nuno & Morana, Claudio, 2010. "Comovements in volatility in the euro money market," Journal of International Money and Finance, Elsevier, vol. 29(3), pages 525-539, April.
    7. Wang, Cindy Shin-Huei & Bauwens, Luc & Hsiao, Cheng, 2013. "Forecasting a long memory process subject to structural breaks," Journal of Econometrics, Elsevier, vol. 177(2), pages 171-184.
    8. Katsumi Shimotsu, 2006. "Simple (but Effective) Tests Of Long Memory Versus Structural Breaks," Working Paper 1101, Economics Department, Queen's University.
    9. Federico Carlini & Paolo Santucci de Magistris, 2019. "On the Identification of Fractionally Cointegrated VAR Models With the Condition," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 134-146, January.
    10. Cipollini, Andrea & Cascio, Iolanda Lo & Muzzioli, Silvia, 2015. "Volatility co-movements: A time-scale decomposition analysis," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 34-44.
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    15. Bent Jesper Christensen & Rasmus T. Varneskov, 2015. "Medium Band Least Squares Estimation of Fractional Cointegration in the Presence of Low-Frequency Contamination," CREATES Research Papers 2015-25, Department of Economics and Business Economics, Aarhus University.
    16. Richard T. Baillie & Fabio Calonaci & Dooyeon Cho & Seunghwa Rho, 2019. "Long Memory, Realized Volatility and HAR Models," Working Papers 881, Queen Mary University of London, School of Economics and Finance.
    17. Christoph Wegener & Tobias Basse & Philipp Sibbertsen & Duc Khuong Nguyen, 2019. "Liquidity risk and the covered bond market in times of crisis: empirical evidence from Germany," Annals of Operations Research, Springer, vol. 282(1), pages 407-426, November.
    18. Torben G. Andersen & Rasmus T. Varneskov, 2021. "Consistent Inference for Predictive Regressions in Persistent Economic Systems," NBER Working Papers 28568, National Bureau of Economic Research, Inc.
    19. Peter M Robinson, 2007. "Multiple Local Whittle Estimation in StationarySystems," STICERD - Econometrics Paper Series 525, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    20. Baruník, Jozef & Hlínková, Michaela, 2016. "Revisiting the long memory dynamics of the implied–realized volatility relationship: New evidence from the wavelet regression," Economic Modelling, Elsevier, vol. 54(C), pages 503-514.
    21. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    22. Zhou, Xinmiao & Qian, Huanhuan & Pérez-Rodríguez, Jorge. V. & González López-Valcárcel, Beatriz, 2020. "Risk dependence and cointegration between pharmaceutical stock markets: The case of China and the USA," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    23. Stefanos Kechagias & Vladas Pipiras, 2015. "Definitions And Representations Of Multivariate Long-Range Dependent Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(1), pages 1-25, January.
    24. P. M. Robinson & M. Gerolimetto, 2006. "Instrumental variables estimation of stationary and non-stationary cointegrating regressions," Econometrics Journal, Royal Economic Society, vol. 9(2), pages 291-306, July.
    25. Andrea Cipollini & Iolanda Lo Cascio & Silvia Muzzioli, 2015. "Financial connectedness among European volatility risk premia," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0058, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    26. Dräger, Lena & Kolaiti, Theoplasti & Sibbertsen, Philipp, 2020. "Measuring Macroeconomic Convergence and Divergence within EMU Using Long Memory," Hannover Economic Papers (HEP) dp-675, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, revised Feb 2021.
    27. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je & Gau, Yin-Feng, 2022. "Risk-return trade-off in the Australian Securities Exchange: Accounting for overnight effects, realized higher moments, long-run relations, and fractional cointegration," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 384-401.
    28. Torben G. Andersen & Rasmus T. Varneskov, 2021. "Testing for Parameter Instability and Structural Change in Persistent Predictive Regressions," NBER Working Papers 28570, National Bureau of Economic Research, Inc.
    29. Gilles de Truchis & Elena Ivona Dumitrescu, 2019. "Narrow-band Weighted Nonlinear Least Squares Estimation of Unbalanced Cointegration Systems," EconomiX Working Papers 2019-14, University of Paris Nanterre, EconomiX.
    30. Imlak Shaikh & Puja Padhi, 2014. "The forecasting performance of implied volatility index: evidence from India VIX," Economic Change and Restructuring, Springer, vol. 47(4), pages 251-274, November.
    31. Barunik, Jozef & Barunikova, Michaela, 2015. "Revisiting the long memory dynamics of implied-realized volatility relation: A new evidence from wavelet band spectrum regression," FinMaP-Working Papers 43, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    32. Afonso Gonçalves da Silva & Peter M Robinson, 2006. "Finite Sample Performance in CointegrationAnalysis of Nonlinear Time Series with LongMemory," STICERD - Econometrics Paper Series 501, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    33. Gilles de Truchis & Benjamin Keddad, 2014. "On the risk comovements between the crude oil market and the U.S. dollar exchange rates," Working Papers 2014-383, Department of Research, Ipag Business School.
    34. David W. Berger & Alain P. Chaboud & Erik Hjalmarsson & Edward Howorka, 2006. "What drives volatility persistence in the foreign exchange market?," International Finance Discussion Papers 862, Board of Governors of the Federal Reserve System (U.S.).
    35. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne P駵in-Feissolle, 2013. "Long-run relationships between international stock prices: further evidence from fractional cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 45(7), pages 817-828, March.
    36. Cipollini, Andrea & Lo Cascio, Iolanda & Muzzioli, Silvia, 2018. "Risk aversion connectedness in five European countries," Economic Modelling, Elsevier, vol. 71(C), pages 68-79.
    37. Bollerslev, Tim & Osterrieder, Daniela & Sizova, Natalia & Tauchen, George, 2013. "Risk and return: Long-run relations, fractional cointegration, and return predictability," Journal of Financial Economics, Elsevier, vol. 108(2), pages 409-424.
    38. Theoplasti Kolaiti & Mwasi Mboya & Philipp Sibbertsen, 2020. "Volatility Transmission across Financial Markets: A Semiparametric Analysis," JRFM, MDPI, vol. 13(8), pages 1-13, July.
    39. Sizova, Natalia, 2014. "A frequency-domain alternative to long-horizon regressions with application to return predictability," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 261-272.
    40. Gilles de Truchis & Florent Dubois & Elena Ivona Dumitrescu, 2019. "Local Whittle Analysis of Stationary Unbalanced Fractional Cointegration Systems," Working Papers hal-04141882, HAL.
    41. Gilles de Truchis, 2012. "Approximate Whittle Analysis of Fractional Cointegration and the Stock Market Synchronization Issue," Working Papers halshs-00793220, HAL.
    42. Andrea Cipollini & Iolanda Lo Cascio & Silvia Muzzioli, 2014. "Volatility risk premia and financial connectedness," Department of Economics 0047, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    43. Bent Jesper Christensen & Morten Ørregaard Nielsen, 2007. "The Effect of Long Memory in Volatility on Stock Market Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 684-700, November.
    44. Andrea Cipollini & Iolanda Lo Cascio & Silvia Muzzioli, 2014. "Volatility risk premia and financial connectedness," Center for Economic Research (RECent) 109, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    45. Sakiru Adebola Solarin & Carmen Lafuente & Luis A. Gil-Alana & María Jesús González-Blanch, 2025. "Persistence in the Unemployment and Inflation Relationship. Evidence from 38 OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(1), pages 1236-1257, March.
    46. Canarella, Giorgio & Miller, Stephen M., 2017. "Inflation targeting and inflation persistence: New evidence from fractional integration and cointegration," Journal of Economics and Business, Elsevier, vol. 92(C), pages 45-62.
    47. Marcel Aloy & Mohamed Boutahar & Karine Gente & Anne Peguin-Feissolle, 2010. "Fractional integration and cointegration in stock prices and exchange rates," Working Papers halshs-00536140, HAL.
    48. Hualde, J. & Robinson, Peter M., 2006. "Root-n-consistent estimation of weak fractional cointegration," LSE Research Online Documents on Economics 4542, London School of Economics and Political Science, LSE Library.
    49. Nielsen, Morten Orregaard, 2005. "Noncontemporaneous cointegration and the importance of timing," Economics Letters, Elsevier, vol. 86(1), pages 113-119, January.
    50. Hualde, J. & Robinson, P.M., 2010. "Semiparametric inference in multivariate fractionally cointegrated systems," Journal of Econometrics, Elsevier, vol. 157(2), pages 492-511, August.
    51. Javier Hualde & Peter M Robinson, 2006. "Root-N-Consistent Estimation Of Weakfractional Cointegration," STICERD - Econometrics Paper Series 499, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    52. Ke, Shuyao & Phillips, Peter C.B. & Su, Liangjun, 2024. "Robust inference of panel data models with interactive fixed effects under long memory: A frequency domain approach," Journal of Econometrics, Elsevier, vol. 241(2).
    53. Javier Hualde & A Robinson, 2006. "Root-N-Consistent Estimation Of Weakfractional Cointegration," STICERD - Econometrics Paper Series /06/499, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    54. Kellard, Neil & Dunis, Christian & Sarantis, Nicholas, 2010. "Foreign exchange, fractional cointegration and the implied-realized volatility relation," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 882-891, April.
    55. Pérez-Rodríguez, Jorge V. & Andrada-Félix, Julián & Rachinger, Heiko, 2021. "Testing the forward volatility unbiasedness hypothesis in exchange rates under long-range dependence," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    56. Daniela Osterrieder & Daniel Ventosa-Santaulària & J. Eduardo Vera-Valdés, 2015. "Unbalanced Regressions and the Predictive Equation," CREATES Research Papers 2015-09, Department of Economics and Business Economics, Aarhus University.
    57. Niels Haldrup & Robinson Kruse, 2014. "Discriminating between fractional integration and spurious long memory," CREATES Research Papers 2014-19, Department of Economics and Business Economics, Aarhus University.
    58. Tilfani, Oussama & Kristoufek, Ladislav & Ferreira, Paulo & El Boukfaoui, My Youssef, 2022. "Heterogeneity in economic relationships: Scale dependence through the multivariate fractal regression," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    59. Chen, Yong & Eaton, Gregory W. & Paye, Bradley S., 2018. "Micro(structure) before macro? The predictive power of aggregate illiquidity for stock returns and economic activity," Journal of Financial Economics, Elsevier, vol. 130(1), pages 48-73.
    60. Marcel Aloy & Gilles de Truchis, 2013. "Optimal Estimation Strategies for Bivariate Fractional Cointegration Systems," AMSE Working Papers 1353, Aix-Marseille School of Economics, France, revised 29 Oct 2013.
    61. Hualde, Javier & Robinson, Peter M., 2006. "Semiparametric Estimation of Fractional Cointegration," LSE Research Online Documents on Economics 4537, London School of Economics and Political Science, LSE Library.
    62. Katarzyna Lasak, 2008. "Maximum likelihood estimation of fractionally cointegrated systems," CREATES Research Papers 2008-53, Department of Economics and Business Economics, Aarhus University.
    63. Robinson, Peter M., 2007. "Multiple local whittle estimation in stationary systems," LSE Research Online Documents on Economics 4436, London School of Economics and Political Science, LSE Library.
    64. Dettoni, Robinson & Gil-Alana, Luis A. & Yaya, OlaOluwa S., 2024. "Stock market prices and Dividends in the US: Bubbles or Long-run equilibria relationships?," International Review of Financial Analysis, Elsevier, vol. 94(C).
    65. Avarucci, Marco & Marinucci, Domenico, 2005. "Polynomial cointegration among stationary processes with long memory," UC3M Working papers. Economics we055123, Universidad Carlos III de Madrid. Departamento de Economía.
    66. Hualde, Javier, 2014. "Estimation of long-run parameters in unbalanced cointegration," Journal of Econometrics, Elsevier, vol. 178(2), pages 761-778.
    67. Torben G. Andersen & Rasmus T. Varneskov, 2018. "Consistent Inference for Predictive Regressions in Persistent VAR Economies," CREATES Research Papers 2018-09, Department of Economics and Business Economics, Aarhus University.
    68. Morten Ø. Nielsen & Per Houmann Frederiksen, 2008. "Fully Modified Narrow-band Least Squares Estimation Of Stationary Fractional Cointegration," Working Paper 1171, Economics Department, Queen's University.
    69. Huang, Teng-Ching & Tu, Yu-Chen & Chou, Heng-Chih, 2015. "Long memory and the relation between options and stock prices," Finance Research Letters, Elsevier, vol. 12(C), pages 77-91.
    70. Kellard, Neil M. & Jiang, Ying & Wohar, Mark, 2015. "Spurious long memory, uncommon breaks and the implied–realized volatility puzzle," Journal of International Money and Finance, Elsevier, vol. 56(C), pages 36-54.
    71. Jozef Barunik & Michaela Barunikova, 2012. "Revisiting the fractional cointegrating dynamics of implied-realized volatility relation with wavelet band spectrum regression," Papers 1208.4831, arXiv.org, revised Feb 2013.
    72. Tim Bollerslev & Daniela Osterrieder & Natalia Sizova & George Tauchen, 2011. "Risk and Return: Long-Run Relationships, Fractional Cointegration, and Return Predictability," CREATES Research Papers 2011-51, Department of Economics and Business Economics, Aarhus University.
    73. Chernov, Mikhail, 2007. "On the Role of Risk Premia in Volatility Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 411-426, October.

Articles

  1. Borup, Daniel & Christensen, Bent Jesper & Mühlbach, Nicolaj Søndergaard & Nielsen, Mikkel Slot, 2023. "Targeting predictors in random forest regression," International Journal of Forecasting, Elsevier, vol. 39(2), pages 841-868.
    See citations under working paper version above.
  2. Carlini, Federico & Christensen, Bent Jesper & Datta Gupta, Nabanita & Santucci de Magistris, Paolo, 2023. "Climate, wind energy, and CO2 emissions from energy production in Denmark," Energy Economics, Elsevier, vol. 125(C).

    Cited by:

    1. Pata, Ugur Korkut, 2025. "How to progress towards sustainable development by leveraging renewable energy sources, technological advances, and human capital," Renewable Energy, Elsevier, vol. 241(C).
    2. Zhan, Chenxuan & Xu, Yi & Fan, Jianhua & Gao, Meng & Kong, Weiqiang & Wu, Jiani & Wang, Dengjia & Tian, Zhiyong, 2025. "Validation and optimization of a solar heating plant with a large-scale heat pump," Energy, Elsevier, vol. 319(C).

  3. Christensen, Bent Jesper & Parra-Alvarez, Juan Carlos & Serrano, Rafael, 2021. "Optimal control of investment, premium and deductible for a non-life insurance company," Insurance: Mathematics and Economics, Elsevier, vol. 101(PB), pages 384-405.
    See citations under working paper version above.
  4. Bent Jesper Christensen & Nabanita Datta Gupta & Paolo Santucci de Magistris, 2021. "Measuring the impact of clean energy production on CO2 abatement in Denmark: Upper bound estimation and forecasting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 118-149, January.

    Cited by:

    1. Carsten Andersen & Timo Hener, 2025. "Wind Turbines, Shadow Flicker, and Real Estate Values," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 88(3), pages 731-759, March.
    2. Carlini, Federico & Christensen, Bent Jesper & Datta Gupta, Nabanita & Santucci de Magistris, Paolo, 2023. "Climate, wind energy, and CO2 emissions from energy production in Denmark," Energy Economics, Elsevier, vol. 125(C).
    3. Khosravi, Faramarz & Izbirak, Gokhan, 2024. "A framework of index system for gauging the sustainability of iranian provinces by fusing analytical hierarchy process (AHP) and rough set theory (RST)," Socio-Economic Planning Sciences, Elsevier, vol. 95(C).

  5. Bent Jesper Christensen & Rasmus Tangsgaard Varneskov, 2021. "Dynamic Global Currency Hedging [Arbitrage in the Foreign Exchange Market: Turning on the Microscope]," Journal of Financial Econometrics, Oxford University Press, vol. 19(1), pages 97-127.
    See citations under working paper version above.
  6. Asmussen, Søren & Christensen, Bent Jesper & Thøgersen, Julie, 2019. "Nash equilibrium premium strategies for push–pull competition in a frictional non-life insurance market," Insurance: Mathematics and Economics, Elsevier, vol. 87(C), pages 92-100.

    Cited by:

    1. Mourdoukoutas, Fotios & Boonen, Tim J. & Koo, Bonsoo & Pantelous, Athanasios A., 2021. "Pricing in a competitive stochastic insurance market," Insurance: Mathematics and Economics, Elsevier, vol. 97(C), pages 44-56.
    2. Dalila Guerdouh & Nabil Khelfallah & Josep Vives, 2022. "Optimal Control Strategies for the Premium Policy of an Insurance Firm with Jump Diffusion Assets and Stochastic Interest Rate," JRFM, MDPI, vol. 15(3), pages 1-19, March.

  7. Søren Asmussen & Bent Jesper Christensen & Julie Thøgersen, 2019. "Stackelberg Equilibrium Premium Strategies for Push-Pull Competition in a Non-Life Insurance Market with Product Differentiation," Risks, MDPI, vol. 7(2), pages 1-23, May.

    Cited by:

    1. Yanfei Bai & Zhongbao Zhou & Helu Xiao & Rui Gao & Feimin Zhong, 2019. "A hybrid stochastic differential reinsurance and investment game with bounded memory," Papers 1910.09834, arXiv.org.
    2. Bai, Yanfei & Zhou, Zhongbao & Xiao, Helu & Gao, Rui & Zhong, Feimin, 2022. "A hybrid stochastic differential reinsurance and investment game with bounded memory," European Journal of Operational Research, Elsevier, vol. 296(2), pages 717-737.
    3. Yevhen Havrylenko & Maria Hinken & Rudi Zagst, 2022. "Risk sharing in equity-linked insurance products: Stackelberg equilibrium between an insurer and a reinsurer," Papers 2203.04053, arXiv.org, revised Oct 2023.

  8. Christensen, Bent Jesper & van der Wel, Michel, 2019. "An asset pricing approach to testing general term structure models," Journal of Financial Economics, Elsevier, vol. 134(1), pages 165-191.

    Cited by:

    1. M Boschi & S d'Addona & A Goenka, 2012. "Testing external habits in an asset pricing model," CAMA Working Papers 2012-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. van der Wel, M., 2020. "Connecting Silos : On linking macroeconomics and finance, and the role of econometrics therein," ERIM Inaugural Address Series Research in Management 124748, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam..

  9. Christensen, Bent Jesper & Varneskov, Rasmus Tangsgaard, 2017. "Medium band least squares estimation of fractional cointegration in the presence of low-frequency contamination," Journal of Econometrics, Elsevier, vol. 197(2), pages 218-244.
    See citations under working paper version above.
  10. Christensen, Bent Jesper & Posch, Olaf & van der Wel, Michel, 2016. "Estimating dynamic equilibrium models using mixed frequency macro and financial data," Journal of Econometrics, Elsevier, vol. 194(1), pages 116-137.
    See citations under working paper version above.
  11. Eric French & Elaine Kelly & Bent Jesper Christensen & Mette Gørtz & Malene Kallestrup‐Lamb, 2016. "Medical Spending in Denmark," Fiscal Studies, Institute for Fiscal Studies, vol. 37, pages 461-497, September.

    Cited by:

    1. Malene Kallestrup-Lamb & Søren Kjærgaard & Carsten P. T. Rosenskjold, 2019. "Insight into Stagnating Life Expectancy: Analysing Cause of Death Patterns across Socio-economic Groups," CREATES Research Papers 2019-20, Department of Economics and Business Economics, Aarhus University.
    2. Malene Kallestrup‐Lamb & Søren Kjærgaard & Carsten P. T. Rosenskjold, 2020. "Insight into stagnating adult life expectancy: Analyzing cause of death patterns across socioeconomic groups," Health Economics, John Wiley & Sons, Ltd., vol. 29(12), pages 1728-1743, December.
    3. Kallestrup-Lamb, Malene & Marin, Alexander O.K. & Menon, Seetha & Søgaard, Jes, 2024. "Aging populations and expenditures on health," The Journal of the Economics of Ageing, Elsevier, vol. 29(C).
    4. Bom, Judith & Bakx, Pieter & van Doorslaer, Eddy & Gørtz, Mette & Skinner, Jonathan, 2023. "What explains different rates of nursing home admissions? Comparing the United States to Denmark and the Netherlands," The Journal of the Economics of Ageing, Elsevier, vol. 25(C).

  12. Andreasen, Martin M. & Christensen, Bent Jesper, 2015. "The SR approach: A new estimation procedure for non-linear and non-Gaussian dynamic term structure models," Journal of Econometrics, Elsevier, vol. 184(2), pages 420-451.

    Cited by:

    1. Salman Huseynov, 2021. "Long and short memory in dynamic term structure models," CREATES Research Papers 2021-15, Department of Economics and Business Economics, Aarhus University.
    2. Martin M. Andreasen & Jens H.E. Christensen & Glenn D. Rudebusch, 2017. "Term Structure Analysis with Big Data," CREATES Research Papers 2017-31, Department of Economics and Business Economics, Aarhus University.
    3. Martin M Andreasen & Andrew Meldrum, 2015. "Market beliefs about the UK monetary policy life-off horizon: a no-arbitrage shadow rate term structure model approach," Bank of England working papers 541, Bank of England.
    4. Martin M. Andreasen & Tom Engsted & Stig V. Møller & Magnus Sander, 2016. "Bond Market Asymmetries across Recessions and Expansions: New Evidence on Risk Premia," CREATES Research Papers 2016-26, Department of Economics and Business Economics, Aarhus University.
    5. Januj Juneja, 2025. "What is the Effect of Restrictions Imposed by Principal Components Analysis on the Empirical Performance of Dynamic Term Structure Models?," Computational Economics, Springer;Society for Computational Economics, vol. 65(5), pages 2505-2543, May.
    6. Roussellet, Guillaume, 2025. "The term structure of macroeconomic risks at the effective lower bound," Journal of Econometrics, Elsevier, vol. 248(C).
    7. Andreasen, Martin M. & Christensen, Jens H.E. & Rudebusch, Glenn D., 2019. "Term Structure Analysis with Big Data: One-Step Estimation Using Bond Prices," Journal of Econometrics, Elsevier, vol. 212(1), pages 26-46.
    8. Sheheryar Malik & Andrew Meldrum, 2014. "Evaluating the robustness of UK term structure decompositions using linear regression methods," Bank of England working papers 518, Bank of England.
    9. Christensen, Bent Jesper & Posch, Olaf & van der Wel, Michel, 2016. "Estimating dynamic equilibrium models using mixed frequency macro and financial data," Journal of Econometrics, Elsevier, vol. 194(1), pages 116-137.
    10. Bruno Feunou & Jean-Sébastien Fontaine & Anh Le & Christian Lundblad, 2022. "Tractable Term Structure Models," Management Science, INFORMS, vol. 68(11), pages 8411-8429, November.
    11. Bent Jesper Christensen & Mads Markvart Kjær & Bezirgen Veliyev, 2021. "The incremental information in the yield curve about future interest rate risk," CREATES Research Papers 2021-11, Department of Economics and Business Economics, Aarhus University.
    12. Martin Møller Andreasen & Kasper Jørgensen & Andrew Meldrum, 2019. "Bond Risk Premiums at the Zero Lower Bound," CREATES Research Papers 2019-10, Department of Economics and Business Economics, Aarhus University.
    13. Nyholm, Ken, 2016. "US-euro area term structure spillovers, implications for central banks," Working Paper Series 1980, European Central Bank.
    14. Martin M Andreasen & Andrew Meldrum, 2015. "Dynamic term structure models: the best way to enforce the zero lower bound in the United States," Bank of England working papers 550, Bank of England.
    15. Martin M. Andreasen & Andrew C. Meldrum, 2018. "A Shadow Rate or a Quadratic Policy Rule? The Best Way to Enforce the Zero Lower Bound in the United States," Finance and Economics Discussion Series 2018-056, Board of Governors of the Federal Reserve System (U.S.).
    16. Stefania D’Amico & N Aaron Pancost, 2022. "Special Repo Rates and the Cross-Section of Bond Prices: The Role of the Special Collateral Risk Premium [Pr icing the term structure with linear regressions]," Review of Finance, European Finance Association, vol. 26(1), pages 117-162.
    17. Martin M. Andreasen & Kasper Joergensen & Andrew C. Meldrum, 2019. "Bond Risk Premiums at the Zero Lower Bound," Finance and Economics Discussion Series 2019-040, Board of Governors of the Federal Reserve System (U.S.).

  13. Christensen, Bent Jesper & Nielsen, Morten Ørregaard & Zhu, Jie, 2015. "The impact of financial crises on the risk–return tradeoff and the leverage effect," Economic Modelling, Elsevier, vol. 49(C), pages 407-418.
    See citations under working paper version above.
  14. Christensen, Bent Jesper & Dahl, Christian M. & Iglesias, Emma M., 2012. "Semiparametric inference in a GARCH-in-mean model," Journal of Econometrics, Elsevier, vol. 167(2), pages 458-472.
    See citations under working paper version above.
  15. Bent Jesper Christensen & Malene Kallestrup‐Lamb, 2012. "The Impact Of Health Changes On Labor Supply: Evidence From Merged Data On Individual Objective Medical Diagnosis Codes And Early Retirement Behavior," Health Economics, John Wiley & Sons, Ltd., vol. 21(S1), pages 56-100, June.
    See citations under working paper version above.
  16. Busch, Thomas & Christensen, Bent Jesper & Nielsen, Morten Ørregaard, 2011. "The role of implied volatility in forecasting future realized volatility and jumps in foreign exchange, stock, and bond markets," Journal of Econometrics, Elsevier, vol. 160(1), pages 48-57, January.
    See citations under working paper version above.
  17. Christensen, Bent Jesper & Nielsen, Morten Ørregaard & Zhu, Jie, 2010. "Long memory in stock market volatility and the volatility-in-mean effect: The FIEGARCH-M Model," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 460-470, June.
    See citations under working paper version above.
  18. Bent Jesper Christensen & Morten Ørregaard Nielsen, 2007. "The Effect of Long Memory in Volatility on Stock Market Fluctuations," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 684-700, November.
    See citations under working paper version above.
  19. Christensen, Bent Jesper & Nielsen, Morten Orregaard, 2006. "Asymptotic normality of narrow-band least squares in the stationary fractional cointegration model and volatility forecasting," Journal of Econometrics, Elsevier, vol. 133(1), pages 343-371, July.
    See citations under working paper version above.
  20. Bent Jesper Christensen & Rasmus Lentz & Dale T. Mortensen & George R. Neumann & Axel Werwatz, 2005. "On-the-Job Search and the Wage Distribution," Journal of Labor Economics, University of Chicago Press, vol. 23(1), pages 31-58, January.
    See citations under working paper version above.
  21. Bent Jesper Christensen & Nabanita Datta Gupta & John Rust, 2004. "Special issue on the econometrics of social insurance," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 647-648.

    Cited by:

    1. Ooms, M., 2008. "Trends in Applied Econometrics Software Development 1985-2008, an analysis of Journal of Applied Econometrics research articles, software reviews, data and code," Serie Research Memoranda 0021, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

  22. Mark Y. An & Bent Jesper Christensen & Nabanita Datta Gupta, 2004. "Multivariate mixed proportional hazard modelling of the joint retirement of married couples," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 687-704.

    Cited by:

    1. Monika Bütler & Olivia Huguenin & Federica Teppa, 2005. "Why Forcing People to Save Retirement May Backfire," Cahiers de Recherches Economiques du Département d'économie 05.05, Université de Lausanne, Faculté des HEC, Département d’économie.
    2. Li, Xiaohu & Fang, Rui, 2015. "Ordering properties of order statistics from random variables of Archimedean copulas with applications," Journal of Multivariate Analysis, Elsevier, vol. 133(C), pages 304-320.
    3. Ruixuan Liu, 2020. "A competing risks model with time‐varying heterogeneity and simultaneous failure," Quantitative Economics, Econometric Society, vol. 11(2), pages 535-577, May.
    4. Bo Honoré & Áureo de Paula, 2011. "Interdependent Durations in Joint Retirement," Working Papers, Center for Retirement Research at Boston College wp2011-5, Center for Retirement Research, revised Feb 2011.
    5. Merkurieva, Irina, 2023. "Retirement coordination and leisure complementarity," Labour Economics, Elsevier, vol. 85(C).
    6. Josephine Jacobs & Courtney Van Houtven & Audrey Laporte & Peter Coyte, 2014. "The Impact of Informal Caregiving Intensity on Women's Retirement in the United States," Working Papers 140008, Canadian Centre for Health Economics.
    7. Pierpaolo Parrotta & Rafael Lalive, 2016. "How Does Pension Eligibility Affect Labor Supply in Couples?," Post-Print hal-01515231, HAL.
    8. de Paula, Aureo, 2020. "The Informativeness of Estimation Moments," CEPR Discussion Papers 14298, C.E.P.R. Discussion Papers.
    9. Esteban Garc�a-Miralles & Jonathan M. Leganza, 2021. "Joint Retirement of Couples: Evidence from Discontinuities in Denmark," CEBI working paper series 21-01, University of Copenhagen. Department of Economics. The Center for Economic Behavior and Inequality (CEBI).
    10. Malene Kallestrup-Lamb, 2011. "The Role of the Spouse in Early Retirement Decisions for Older Workers," CREATES Research Papers 2011-38, Department of Economics and Business Economics, Aarhus University.
    11. Malene Kallestrup-Lamb & Anders Bredahl Kock & Johannes Tang Kristensen, 2013. "Lassoing the Determinants of Retirement," CREATES Research Papers 2013-21, Department of Economics and Business Economics, Aarhus University.
    12. Håkan Selin, 2017. "What happens to the husband’s retirement decision when the wife’s retirement incentives change?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 24(3), pages 432-458, June.
    13. Blundell, R. & French, E. & Tetlow, G., 2016. "Retirement Incentives and Labor Supply," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 457-566, Elsevier.
    14. Warren, Diana A., 2015. "Retirement decisions of couples in Australia: The impact of spousal characteristics and preferences," The Journal of the Economics of Ageing, Elsevier, vol. 6(C), pages 149-162.
    15. Bo E. Honoré & Áureo de Paula, 2016. "A new model for interdependent durations with an application to joint retirement," CeMMAP working papers 07/16, Institute for Fiscal Studies.
    16. Annette Meng & Emil Sundstrup & Lars L. Andersen, 2020. "Factors Contributing to Retirement Decisions in Denmark: Comparing Employees Who Expect to Retire before, at, and after the State Pension Age," IJERPH, MDPI, vol. 17(9), pages 1-12, May.
    17. Hernæs, Erik & Iskhakov, Fedor & Strøm, Steinar, 2006. "Early Retirement and Company Characteristics," Memorandum 16/2006, Oslo University, Department of Economics.
    18. Bo E. Honoré & Thomas Jorgensen & Áureo de Paula, 2019. "Sensitivity of Estimation Precision to Moments with an Application to a Model of Joint Retirement Planning of Couples," CeMMAP working papers CWP36/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Johnsen, Julian V. & Vaage, Kjell, 2015. "Spouses’ retirement and the take-up of disability pension," Working Papers in Economics 03/15, University of Bergen, Department of Economics.
    20. Cetin, Sefane & Jousten, Alain, 2022. "Retirement Decision of Belgian Couples and the Impact of the Social Security System," LIDAM Discussion Papers CORE 2022024, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    21. Herman J. Bierens & Jose R. Carvalho, 2007. "Semi-nonparametric competing risks analysis of recidivism," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 971-993.
    22. Nagore García, Amparo & van Soest, Arthur, 2022. "Joint retirement behaviour and pension reform in the Netherlands," The Journal of the Economics of Ageing, Elsevier, vol. 23(C).
    23. Paul Bingley & Gauthier Lanot, 2006. "Public Pension Programmes and the Retirement of Married Couples in Denmark," Keele Economics Research Papers KERP 2006/20, Centre for Economic Research, Keele University.
    24. Diana Warren, 2013. "Retirement Decisions of Couples: The Impact of Spousal Characteristics and Preferences on the Timing of Retirement," Melbourne Institute Working Paper Series wp2013n41, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    25. Monika Bütler & Olivia Huguenin & Federica Teppa, 2005. "Why Forcing People to Save for Retirement May Backfire," University of St. Gallen Department of Economics working paper series 2005 2005-09, Department of Economics, University of St. Gallen.
    26. Böckerman, Petri & Kortelainen, Mika & Salokangas, Henri & Vaalavuo, Maria, 2023. "Family Affair? Long-Term Economic and Mental Effects of Spousal Cancer," IZA Discussion Papers 16005, Institute of Labor Economics (IZA).
    27. Bent Jesper Christensen & Malene Kallestrup‐Lamb, 2012. "The Impact Of Health Changes On Labor Supply: Evidence From Merged Data On Individual Objective Medical Diagnosis Codes And Early Retirement Behavior," Health Economics, John Wiley & Sons, Ltd., vol. 21(S1), pages 56-100, June.
    28. Annette Meng & Emil Sundstrup & Lars L. Andersen, 2022. "Employee perception of managers’ attitudes towards older workers is associated with risk of loss of paid work before state pension age: prospective cohort study with register follow-up," European Journal of Ageing, Springer, vol. 19(4), pages 1375-1383, December.
    29. Kristensen, Nicolai, 2012. "Training and Retirement," IZA Discussion Papers 6301, Institute of Labor Economics (IZA).
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    31. Elena Stancanelli & Arthur Van Soest, 2016. "Partners’ leisure time truly together upon retirement," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-19, December.
    32. Stancanelli, Elena G. F., 2016. "Couples' Retirement under Individual Pension Design: A Regression Discontinuity Study for France," IZA Discussion Papers 10322, Institute of Labor Economics (IZA).
    33. Jacobs, Josephine C. & Laporte, Audrey & Van Houtven, Courtney H. & Coyte, Peter C., 2014. "Caregiving intensity and retirement status in Canada," Social Science & Medicine, Elsevier, vol. 102(C), pages 74-82.

  23. Bent Jesper Christensen & Charlotte Strunk Hansen, 2002. "New evidence on the implied-realized volatility relation," The European Journal of Finance, Taylor & Francis Journals, vol. 8(2), pages 187-205, June.

    Cited by:

    1. Tzang, Shyh-Weir & Hung, Chih-Hsing & Wang, Chou-Wen & Shyu, David So-De, 2011. "Do liquidity and sampling methods matter in constructing volatility indices? Empirical evidence from Taiwan," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 312-324, April.
    2. Max Schreder, 2018. "Volatility forecasting in practice: exploratory evidence from European hedge funds," Journal of Asset Management, Palgrave Macmillan, vol. 19(4), pages 245-258, July.
    3. Carl H. Korkpoe & Peterson Owusu Junior, 2018. "Behaviour of Johannesburg Stock Exchange All Share Index Returns - An Asymmetric GARCH and News Impact Effects Approach," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 68(1), pages 26-42, January-M.
    4. Baruník, Jozef & Hlínková, Michaela, 2016. "Revisiting the long memory dynamics of the implied–realized volatility relationship: New evidence from the wavelet regression," Economic Modelling, Elsevier, vol. 54(C), pages 503-514.
    5. Murad Samsudin, Najmi Ismail & Mohamad, Azhar & Sifat, Imtiaz Mohammad, 2021. "Implied volatility of structured warrants: Emerging market evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 464-479.
    6. Gong, Jue & Wang, Gang-Jin & Zhou, Yang & Zhu, You & Xie, Chi & Foglia, Matteo, 2023. "Spreading of cross-market volatility information: Evidence from multiplex network analysis of volatility spillovers," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    7. Ayla Ogus, 2005. "Pricing Of S&P 100 Index Options Based On Garch Volatility Estimates," Finance 0504005, University Library of Munich, Germany.
    8. Huang, Zih-Chun & Sangiorgi, Ivan & Urquhart, Andrew, 2024. "Forecasting Bitcoin volatility using machine learning techniques," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 97(C).
    9. Steven Li & Qianqian Yang, 2009. "The relationship between implied and realized volatility: evidence from the Australian stock index option market," Review of Quantitative Finance and Accounting, Springer, vol. 32(4), pages 405-419, May.
    10. Imlak Shaikh & Puja Padhi, 2014. "The forecasting performance of implied volatility index: evidence from India VIX," Economic Change and Restructuring, Springer, vol. 47(4), pages 251-274, November.
    11. Barunik, Jozef & Barunikova, Michaela, 2015. "Revisiting the long memory dynamics of implied-realized volatility relation: A new evidence from wavelet band spectrum regression," FinMaP-Working Papers 43, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    12. Božović, Miloš, 2024. "VIX-managed portfolios," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    13. Imlak Shaikh & Puja Padhi, 2015. "On the Relationship of Ex-ante and Ex-post Volatility: A Sub-period Analysis of S&P CNX Nifty Index Options," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(2), pages 140-175, August.
    14. Puja Padhi & Imlak Shaikh, 2014. "On the relationship of implied, realized and historical volatility: evidence from NSE equity index options," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(5), pages 915-934, November.
    15. Guan Wang & Pierre Yourougou & Yue Wang, 2012. "Which implied volatility provides the best measure of future volatility?," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(1), pages 93-105, January.
    16. Eui Jung Chang & Benjamin Miranda Tabak, 2007. "Are implied volatilities more informative? The Brazilian real exchange rate case," Applied Financial Economics, Taylor & Francis Journals, vol. 17(7), pages 569-576.
    17. Carole Bernard & Gero Junike & Thibaut Lux & Steven Vanduffel, 2022. "Cost-efficient Payoffs under Model Ambiguity," Papers 2207.02948, arXiv.org, revised Aug 2023.
    18. Liu, Shinhua, 2009. "The impacts of index options on the underlying stocks: The case of the S&P 100," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 1034-1046, August.
    19. Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian & Yoon, Seong-Min, 2021. "OPEC news and jumps in the oil market," Energy Economics, Elsevier, vol. 96(C).
    20. DeMarzo, Peter M. & Kremer, Ilan & Mansour, Yishay, 2016. "Robust option pricing: Hannan and Blackwell meet Black and Scholes," Journal of Economic Theory, Elsevier, vol. 163(C), pages 410-434.
    21. Dunis, Christian & Kellard, Neil M. & Snaith, Stuart, 2013. "Forecasting EUR–USD implied volatility: The case of intraday data," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4943-4957.
    22. Kellard, Neil & Dunis, Christian & Sarantis, Nicholas, 2010. "Foreign exchange, fractional cointegration and the implied-realized volatility relation," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 882-891, April.
    23. Najmi Ismail Murad Samsudin & Azhar Mohamad & Imtiaz Mohammad Sifat & Zarinah Hamid, 2022. "Predictive power of implied volatility of structured call warrants: Evidence from Singapore," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4412-4430, October.
    24. Chen, An & Vanduffel, Steven & Wilke, Morten, 2025. "Optimal payoffs under smooth ambiguity," European Journal of Operational Research, Elsevier, vol. 320(3), pages 754-764.
    25. Wilkens, Sascha & Roder, Klaus, 2006. "The informational content of option-implied distributions: Evidence from the Eurex index and interest rate futures options market," Global Finance Journal, Elsevier, vol. 17(1), pages 50-74, September.
    26. Gkillas Konstantinos & Gupta Rangan & Vortelinos Dimitrios I., 2023. "Uncertainty and realized jumps in the pound-dollar exchange rate: evidence from over one century of data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(1), pages 25-47, February.
    27. Peter Carr & Liuren Wu, 2004. "Variance Risk Premia," Finance 0409015, University Library of Munich, Germany.
    28. Adam Kolkiewicz & Ken Tan, 2004. "Volatility Risk For Regime-Switching Models," North American Actuarial Journal, Taylor & Francis Journals, vol. 8(4), pages 127-145.
    29. Imlak Shaikh & Puja Padhi, 2013. "On the Linkages among Ex-ante and Ex-post Volatility: Evidence from NSE Options Market (India)," Global Business Review, International Management Institute, vol. 14(3), pages 487-505, September.
    30. Gong, Jue & Wang, Gang-Jin & Xie, Chi & Uddin, Gazi Salah, 2024. "How do market volatility and risk aversion sentiment inter-influence over time? Evidence from Chinese SSE 50 ETF options," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    31. Kellard, Neil M. & Jiang, Ying & Wohar, Mark, 2015. "Spurious long memory, uncommon breaks and the implied–realized volatility puzzle," Journal of International Money and Finance, Elsevier, vol. 56(C), pages 36-54.
    32. Jozef Barunik & Michaela Barunikova, 2012. "Revisiting the fractional cointegrating dynamics of implied-realized volatility relation with wavelet band spectrum regression," Papers 1208.4831, arXiv.org, revised Feb 2013.
    33. Jack J. W. Yang & Chia-Hsing Huang & Chi-Hui Wang, 2013. "Nonlinear Relationships between Taiwan VIX Index and the Intraday Ordering Behavior of Stock Index Options," Business and Management Research, Business and Management Research, Sciedu Press, vol. 2(3), pages 68-80, September.

  24. H. Bunzel & Bent Jesper Christensen & Peter Jensen & Nicholas Kiefer & L. Korsholm & L. Muus & G. R. Neumann & Michael Rosholm, 2001. "Specification and Estimation of Equilibrium Search Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(1), pages 90-126, January.

    Cited by:

    1. Susan Vroman & Lucas Navarro & James Albrecht, 2011. "Public Sector Employment in an Equilibrium Search and Matching Model," 2011 Meeting Papers 390, Society for Economic Dynamics.
    2. Rosholm, Michael & Svarer, Michael, 2004. "Endogenous wage dispersion in a search-matching model," Labour Economics, Elsevier, vol. 11(5), pages 623-645, October.
    3. Gerard J. van den Berg & Aico van Vuuren, 2002. "The Effect of Search Frictions on Wages," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 C1-2, International Conferences on Panel Data.
    4. Rasmus Lentz & Jesper Bagger, 2009. "An Empirical Model of Wage Dispersion with Sorting," 2009 Meeting Papers 964, Society for Economic Dynamics.
    5. Lene Kromann, 2009. "Does Employee Body Weight Affect Employers' Behavior?," Economics Working Papers 2009-04, Department of Economics and Business Economics, Aarhus University.
    6. Jesper Bagger & Morten Henningsen, 2008. "Job Durations and the Job Search Model: A Two-Country, Multi-Sample Analysis," Discussion Papers 553, Statistics Norway, Research Department.
    7. B. Cockx & M. Dejemeppe & A. Launov & B. Van Der Linden, 2011. "Monitoring, Sanctions and Front-Loading of Job Search in a Non-Stationary Model," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/761, Ghent University, Faculty of Economics and Business Administration.
    8. Gerard J. van den Berg, 1999. "Multiple Equilibria and Minimum Wages in Labor Markets with Informational Frictions and Heterogeneous Production Technologies," Tinbergen Institute Discussion Papers 99-085/3, Tinbergen Institute.
    9. Pedersen, Peder J. & Smith, Nina, 2001. "International Migration and Migration policy in Denmark," CLS Working Papers 01-5, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    10. Paul E. Carrillo, 2005. "Assessing the Value of On-line Information Using a Two-sided Equilibrium Search Model in the Real Estate Market," Computing in Economics and Finance 2005 307, Society for Computational Economics.
    11. Jesper Bagger & Rasmus Lentz, 2014. "An Empirical Model of Wage Dispersion with Sorting," Economics Working Papers 2014-11, Department of Economics and Business Economics, Aarhus University.
    12. Andreas Hornstein & Per Krusell & Giovanni L. Violante, 2011. "Frictional Wage Dispersion in Search Models: A Quantitative Assessment," American Economic Review, American Economic Association, vol. 101(7), pages 2873-2898, December.
    13. Bowlus, Audra J. & Liu, Huju, 2013. "The contributions of search and human capital to earnings growth over the life cycle," European Economic Review, Elsevier, vol. 64(C), pages 305-331.
    14. Linda Y. Wong, 2001. "Structural Estimation of Marriage Models," Computing in Economics and Finance 2001 222, Society for Computational Economics.
    15. Kyyrä, Tomi, 2001. "Estimating Equilibrium Search Models from Finnish Data," Discussion Papers 256, VATT Institute for Economic Research.
    16. Nabanita Datta Gupta & Lene Kromann, 2014. "Differences in the labor market entry of second-generation immigrants and ethnic Danes," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-22, December.
    17. van den Berg, Gerard J, 1999. "Empirical Inference with Equilibrium Search Models of the Labour Market," Economic Journal, Royal Economic Society, vol. 109(456), pages 283-306, June.
    18. Violante, Giovanni & Hornstein, Andreas, 2006. "Frictional Wage Dispersion in Search Models: A Quantitative Approach," CEPR Discussion Papers 5935, C.E.P.R. Discussion Papers.
    19. Ortega, Jaime, 2000. "Job Rotation as a Mechanism for Learning," CLS Working Papers 00-4, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    20. Westergaard-Nielsen, Niels, 2001. "Danish Labour Market Policy: Is it worth it?," CLS Working Papers 01-10, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    21. Rasmus Lentz & Jesper Bagger, 2015. "An Empirical Model of Wage Dispersion with Sorting," 2015 Meeting Papers 1345, Society for Economic Dynamics.

  25. Tomas Björk & Bent Jesper Christensen, 1999. "Interest Rate Dynamics and Consistent Forward Rate Curves," Mathematical Finance, Wiley Blackwell, vol. 9(4), pages 323-348, October.
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  26. Bjork, Tomas & Christensen, Bent Jesper & Gombani, Andrea, 1998. "Some system theoretic aspects of interest rate theory," Insurance: Mathematics and Economics, Elsevier, vol. 22(1), pages 17-23, May.

    Cited by:

    1. Raquel M. Gaspar & Mariana Khapko, 2023. "In memoriam: Tomas Björk (1947–2021)," Finance and Stochastics, Springer, vol. 27(4), pages 867-885, October.

  27. Christensen, B. J. & Prabhala, N. R., 1998. "The relation between implied and realized volatility," Journal of Financial Economics, Elsevier, vol. 50(2), pages 125-150, November.

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    1. Yiguo Sun & Ximing Wu, 2018. "Leverage and Volatility Feedback Effects and Conditional Dependence Index: A Nonparametric Study," JRFM, MDPI, vol. 11(2), pages 1-20, June.
    2. Ralf Becker & Adam Clements, 2007. "Are combination forecasts of S&P 500 volatility statistically superior?," NCER Working Paper Series 17, National Centre for Econometric Research.
    3. Crouhy, Michel, 2002. "Comments on "Information about bank risk in options prices"," Journal of Banking & Finance, Elsevier, vol. 26(5), pages 1059-1064, May.
    4. Hui Guo & Robert F. Whitelaw, 2003. "Uncovering the Risk-Return Relation in the Stock Market," NBER Working Papers 9927, National Bureau of Economic Research, Inc.
    5. Wang, Jianqiu & Wu, Ke & Yang, Sijie & Zhou, Dexin, 2024. "Asymmetry and the Cross-section of Option Returns," Journal of Financial Markets, Elsevier, vol. 71(C).
    6. Cremers, Martijn & Driessen, Joost & Maenhout, Pascal & Weinbaum, David, 2008. "Individual stock-option prices and credit spreads," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2706-2715, December.
    7. Figa-Talamanca, Gianna & Guerra, Maria Letizia, 2006. "Fitting prices with a complete model," Journal of Banking & Finance, Elsevier, vol. 30(1), pages 247-258, January.
    8. Klaus Grobys & James W. Kolari & Jere Rutanen, 2022. "Factor momentum, option-implied volatility scaling, and investor sentiment," Journal of Asset Management, Palgrave Macmillan, vol. 23(2), pages 138-155, March.
    9. Dammak, Wael & Frikha, Wajdi & Souissi, Mohamed Naceur, 2024. "Market turbulence and investor decision-making in currency option market," The Journal of Economic Asymmetries, Elsevier, vol. 30(C).
    10. Bentes, Sonia R. & Menezes, Rui, 2013. "On the predictability of realized volatility using feasible GLS," Journal of Asian Economics, Elsevier, vol. 28(C), pages 58-66.
    11. Zheyao Pan, 2018. "A state‐price volatility index for the U.S. government bond market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 573-597, November.
    12. Athanasia Gavala & Nikolay Gospodinov & Deming Jiang, 2006. "Forecasting volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 381-400.
    13. Marins, Jaqueline Terra Moura & Vicente, José Valentim Machado, 2017. "Do the central bank actions reduce interest rate volatility?," Economic Modelling, Elsevier, vol. 65(C), pages 129-137.
    14. Caporale, Guglielmo Maria & Gil-Alana, Luis & Plastun, Alex, 2018. "Is market fear persistent? A long-memory analysis," Finance Research Letters, Elsevier, vol. 27(C), pages 140-147.
    15. Megaritis, Anastasios & Vlastakis, Nikolaos & Triantafyllou, Athanasios, 2021. "Stock market volatility and jumps in times of uncertainty," Journal of International Money and Finance, Elsevier, vol. 113(C).
    16. Dai, Zhifeng & Chang, Xiaoming, 2021. "Forecasting stock market volatility: Can the risk aversion measure exert an important role?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    17. Degiannakis, Stavros & Filis, George & Kizys, Renatas, 2014. "The effects of oil price shocks on stock market volatility: Evidence from European data," MPRA Paper 96296, University Library of Munich, Germany.
    18. Santa-Clara, Pedro & Saretto, Alessio, 2004. "Option Strategies: Good Deals and Margin Calls," University of California at Los Angeles, Anderson Graduate School of Management qt0499w44p, Anderson Graduate School of Management, UCLA.
    19. Florian Ielpo & Benoît Sévi, 2014. "Forecasting the density of oil futures," Working Papers 2014-601, Department of Research, Ipag Business School.
    20. Marra, Miriam, 2015. "The impact of liquidity on senior credit index spreads during the subprime crisis," International Review of Financial Analysis, Elsevier, vol. 37(C), pages 148-167.
    21. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2008. "The Role Of Implied Volatility In Forecasting Future Realized Volatility And Jumps In Foreign Exchange, Stock, And Bond Markets," Working Paper 1181, Economics Department, Queen's University.
    22. Srivastava, Pranjal & Jacob, Joshy, 2022. "Risk information - normal markets and the COVID-19 pandemic period," IIMA Working Papers WP 2022-10-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
    23. Damien Lynch & Nikolaos Panigirtzoglou, 2008. "Summary statistics of option-implied probability density functions and their properties," Bank of England working papers 345, Bank of England.
    24. Eleftheria Kafousaki & Stavros Degiannakis, 2023. "Forecasting VIX: the illusion of forecast evaluation criteria," Economics and Business Letters, Oviedo University Press, vol. 12(3), pages 231-240.
    25. Giannetti, Antoine & Clark, John M. & Anderson, Randy I., 2004. "Model risk and option hedging," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(5), pages 659-677, December.
    26. Glen Donaldson & Mark Kamstra, 2004. "Volatility forecasts, trading volume, and the ARCH versus option-implied volatility trade-off," FRB Atlanta Working Paper 2004-6, Federal Reserve Bank of Atlanta.
    27. Becker, Ralf & Clements, Adam E. & White, Scott I., 2007. "Does implied volatility provide any information beyond that captured in model-based volatility forecasts?," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2535-2549, August.
    28. Sílvia Gonçalves & Massimo Guidolin, 2006. "Predictable Dynamics in the S&P 500 Index Options Implied Volatility Surface," The Journal of Business, University of Chicago Press, vol. 79(3), pages 1591-1636, May.
    29. Isakov, Dusan & Perignon, Christophe, 2001. "Evolution of market uncertainty around earnings announcements," Journal of Banking & Finance, Elsevier, vol. 25(9), pages 1769-1788, September.
    30. Christopher J. Neely, 2004. "Forecasting foreign exchange volatility: why is implied volatility biased and inefficient? and does it matter?," Working Papers 2002-017, Federal Reserve Bank of St. Louis.
    31. Kliger, Doron & Levy, Ori, 2009. "Theories of choice under risk: Insights from financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 330-346, August.
    32. Sévi, Benoît, 2014. "Forecasting the volatility of crude oil futures using intraday data," European Journal of Operational Research, Elsevier, vol. 235(3), pages 643-659.
    33. Tzang, Shyh-Weir & Hung, Chih-Hsing & Wang, Chou-Wen & Shyu, David So-De, 2011. "Do liquidity and sampling methods matter in constructing volatility indices? Empirical evidence from Taiwan," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 312-324, April.
    34. Degiannakis, Stavros & Filis, George & Hassani, Hossein, 2015. "Forecasting implied volatility indices worldwide: A new approach," MPRA Paper 72084, University Library of Munich, Germany.
    35. Heejoon Han & Myung D. Park, 2013. "Comparison of Realized Measure and Implied Volatility in Forecasting Volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 522-533, September.
    36. Max Schreder, 2018. "Volatility forecasting in practice: exploratory evidence from European hedge funds," Journal of Asset Management, Palgrave Macmillan, vol. 19(4), pages 245-258, July.
    37. Beber, Alessandro & Breedon, Francis & Buraschi, Andrea, 2010. "Differences in beliefs and currency risk premiums," Journal of Financial Economics, Elsevier, vol. 98(3), pages 415-438, December.
    38. José R. Aragonés & Carlos Blanco & Pablo García Estévez, 2007. "Neural network volatility forecasts," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 15(3‐4), pages 107-121, July.
    39. Shusheng Ding & Tianxiang Cui & Yongmin Zhang & Jiawei Li, 2021. "Liquidity effects on oil volatility forecasting: From fintech perspective," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-21, November.
    40. Cassese, Gianluca & Guidolin, Massimo, 2006. "Modelling the implied volatility surface: Does market efficiency matter?: An application to MIB30 index options," International Review of Financial Analysis, Elsevier, vol. 15(2), pages 145-178.
    41. Mittnik, Stefan & Robinzonov, Nikolay & Spindler, Martin, 2015. "Stock market volatility: Identifying major drivers and the nature of their impact," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 1-14.
    42. Jiang, G.J. & van der Sluis, P.J., 2000. "Index Option Pricing Models with Stochastic Volatility and Stochastic Interest Rates," Other publications TiSEM c0839083-c128-4a3f-a2c5-f, Tilburg University, School of Economics and Management.
    43. Joshua Rosenberg, 1999. "Option-Based Tests of Interest Rate Diffusion Functions," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-026, New York University, Leonard N. Stern School of Business-.
    44. Vu Tran & Rasha Alsakka & Owain ap Gwilym, 2018. "Multiple credit ratings and market heterogeneity," Working Papers 2018-26, Swansea University, School of Management.
    45. Geppert, Gero & Kamerschen, David R., 2008. "The effect of mergers on implied volatility of equity options," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 330-344.
    46. Baris Kocaarslan & Ugur Soytas, 2025. "How do the reserve currency and uncertainties in major markets affect the uncertainty of oil prices over time?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 2016-2041, April.
    47. Tsiaras, Leonidas, 2009. "The Forecast Performance of Competing Implied Volatility Measures: The Case of Individual Stocks," Finance Research Group Working Papers F-2009-02, University of Aarhus, Aarhus School of Business, Department of Business Studies.
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    50. Hilscher, Jens, 2007. "Is the corporate bond market forward looking?," Working Paper Series 800, European Central Bank.
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  28. Christensen, Bent Jesper & Kiefer, Nicholas M., 1997. "Inference in non-linear panel models with partially missing observations The case of the equilibrium search model," Journal of Econometrics, Elsevier, vol. 79(2), pages 201-219, August.

    Cited by:

    1. Eric French & John Bailey Jones, 2002. "On the distribution and dynamics of health costs," Working Paper Series WP-02-21, Federal Reserve Bank of Chicago.
    2. Lene Kromann, 2009. "Does Employee Body Weight Affect Employers' Behavior?," Economics Working Papers 2009-04, Department of Economics and Business Economics, Aarhus University.
    3. Pedersen, Peder J. & Smith, Nina, 2001. "International Migration and Migration policy in Denmark," CLS Working Papers 01-5, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    4. H. Bunzel & Bent Jesper Christensen & Peter Jensen & Nicholas Kiefer & L. Korsholm & L. Muus & G. R. Neumann & Michael Rosholm, 2001. "Specification and Estimation of Equilibrium Search Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(1), pages 90-126, January.
    5. Koop, Gary, 2001. "Bayesian inference in models based on equilibrium search theory," Journal of Econometrics, Elsevier, vol. 102(2), pages 311-338, June.
    6. Kyyrä, Tomi, 2001. "Estimating Equilibrium Search Models from Finnish Data," Discussion Papers 256, VATT Institute for Economic Research.
    7. Ortega, Jaime, 2000. "Job Rotation as a Mechanism for Learning," CLS Working Papers 00-4, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.
    8. Westergaard-Nielsen, Niels, 2001. "Danish Labour Market Policy: Is it worth it?," CLS Working Papers 01-10, University of Aarhus, Aarhus School of Business, Centre for Labour Market and Social Research.

  29. Christensen, Bent Jesper & Kiefer, Nicholas M, 1994. "Measurement Error in the Prototypal Job-Search Model," Journal of Labor Economics, University of Chicago Press, vol. 12(4), pages 618-639, October.

    Cited by:

    1. Barbara Petrongolo & Christopher A. Pissarides, 2003. "Scale Effects in Markets with Search," CEP Discussion Papers dp0571, Centre for Economic Performance, LSE.
    2. Alan Manning & J Thomas, 1997. "A Simple Test of the Shirking Model," CEP Discussion Papers dp0374, Centre for Economic Performance, LSE.
    3. Paarsch, Harry J. & Shearer, Bruce S., 2009. "The response to incentives and contractual efficiency: Evidence from a field experiment," European Economic Review, Elsevier, vol. 53(5), pages 481-494, July.
    4. Muriel Dejemeppe & Bruno Van der Linden & Andrey Launov & Bart Cockx, 2011. "Monitoring and Sanctions in a Non-Stationary Structural Job-Search Model," 2011 Meeting Papers 501, Society for Economic Dynamics.
    5. James A. Levinsohn & Todd Pugatch, 2011. "Prospective Analysis of a Wage Subsidy for Cape Town Youth," NBER Working Papers 17248, National Bureau of Economic Research, Inc.
    6. Jesper Bagger & Morten Henningsen, 2008. "Job Durations and the Job Search Model: A Two-Country, Multi-Sample Analysis," Discussion Papers 553, Statistics Norway, Research Department.
    7. B. Cockx & M. Dejemeppe & A. Launov & B. Van Der Linden, 2011. "Monitoring, Sanctions and Front-Loading of Job Search in a Non-Stationary Model," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/761, Ghent University, Faculty of Economics and Business Administration.
    8. Bart Cockx & Muriel Dejemeppe & Andrey Launov & Bruno Van der Linden, 2018. "Imperfect Monitoring of Job Search: Structural Estimation and Policy Design," Journal of Labor Economics, University of Chicago Press, vol. 36(1), pages 75-120.
    9. H. Bunzel & Bent Jesper Christensen & Peter Jensen & Nicholas Kiefer & L. Korsholm & L. Muus & G. R. Neumann & Michael Rosholm, 2001. "Specification and Estimation of Equilibrium Search Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(1), pages 90-126, January.
    10. Kyyrä, Tomi, 2001. "Estimating Equilibrium Search Models from Finnish Data," Discussion Papers 256, VATT Institute for Economic Research.
    11. Gorgens, Tue, 2002. "Reservation wages and working hours for recently unemployed US women," Labour Economics, Elsevier, vol. 9(1), pages 93-123, February.
    12. Steven Stern & John Pepper, 2001. "Empirical Search Models," Virginia Economics Online Papers 383, University of Virginia, Department of Economics.
    13. Fiona MacPhail, 1998. "Moving Beyond Statistical Validity in Economics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 45(1), pages 119-149, November.

  30. Christensen, Bent Jesper & Kiefer, Nicholas M., 1991. "The Exact Likelihood Function for an Empirical Job Search Model," Econometric Theory, Cambridge University Press, vol. 7(4), pages 464-486, December.
    See citations under working paper version above.

Chapters

  1. Bent Jesper Christensen & Peter Jensen & Michael Svarer Nielsen & Kim Poulsen & Michael Rosholm, 2000. "The Equilibrium Search Model with Productivity Dispersion and Structural Unemployment: An Application to Danish Data," Contributions to Economic Analysis, in: Panel Data and Structural Labour Market Models, pages 85-106, Emerald Group Publishing Limited.
    See citations under working paper version above.
  2. Henning Bunzel & Bent J. Christensen & Nicholas M. Kiefer & Lars Korsholm, 2000. "Equilibrium Search with Human Capital Accumulation," Contributions to Economic Analysis, in: Panel Data and Structural Labour Market Models, pages 107-143, Emerald Group Publishing Limited.
    See citations under working paper version above.Sorry, no citations of chapters recorded.

Books

    Sorry, no citations of books recorded.
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