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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. 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. Philippe Goulet Coulombe & Maxime Leroux & Dalibor Stevanovic & Stéphane Surprenant, 2020. "Macroeconomic Data Transformations Matter," CIRANO Working Papers 2020s-42, CIRANO.
    2. James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2020. "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," CREATES Research Papers 2020-06, Department of Economics and Business Economics, Aarhus University.
    3. Goller, Daniel & Harrer, Tamara & Lechner, Michael & Wolff, Joachim, 2021. "Active labour market policies for the long-term unemployed: New evidence from causal machine learning," Economics Working Paper Series 2108, University of St. Gallen, School of Economics and Political Science.
    4. Ricardo P. Masini & Marcelo C. Medeiros & Eduardo F. Mendes, 2023. "Machine learning advances for time series forecasting," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 76-111, February.
    5. Philippe Goulet Coulombe, 2021. "The Macroeconomy as a Random Forest," Working Papers 21-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
    6. Kalamara, Eleni & Turrell, Arthur & Redl, Chris & Kapetanios, George & Kapadia, Sujit, 2020. "Making text count: economic forecasting using newspaper text," Bank of England working papers 865, Bank of England.
    7. Philippe Goulet Coulombe, 2020. "The Macroeconomy as a Random Forest," Papers 2006.12724, arXiv.org, revised Mar 2021.
    8. 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.

  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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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).
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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.
    14. 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.

  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. "Testing for Parameter Instability and Structural Change in Persistent Predictive Regressions," NBER Working Papers 28570, National Bureau of Economic Research, Inc.
    2. Neuhierl, Andreas & Varneskov, Rasmus T., 2021. "Frequency dependent risk," Journal of Financial Economics, Elsevier, vol. 140(2), pages 644-675.
    3. Andersen, Torben G. & Varneskov, Rasmus T., 2021. "Consistent inference for predictive regressions in persistent economic systems," Journal of Econometrics, Elsevier, vol. 224(1), pages 215-244.
    4. 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.
    5. 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.
    6. 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 Nov 2021.
    7. 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.
    8. Leschinski, Christian & Sibbertsen, Philipp, 2018. "The Periodogram of Spurious Long-Memory Processes," Hannover Economic Papers (HEP) dp-632, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  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. Bell, Brian & Bukowski, Pawel & Machin, Stephen, 2019. "Rent sharing and inclusive growth," LSE Research Online Documents on Economics 101868, London School of Economics and Political Science, LSE Library.
    2. Rasmus Lentz & Jesper Bagger, 2009. "An Empirical Model of Wage Dispersion with Sorting," 2009 Meeting Papers 964, Society for Economic Dynamics.
    3. Emmanuele Bobbio & Henning Bunzel, 2018. "The Danish Matched Employer-Employee Data," Economics Working Papers 2018-03, Department of Economics and Business Economics, Aarhus University.
    4. Tzuo Hann Law & Iourii Manovskii & Marcus Hagedorn, 2014. "Identifying Equilibrium Models of Labor Market Sorting," 2014 Meeting Papers 896, Society for Economic Dynamics.
    5. Berlingieri, Giuseppe & Blanchenay, Patrick & Criscuolo, Chiara, 2024. "The great divergence(s)," Research Policy, Elsevier, vol. 53(3).
    6. Keller, Wolfgang & Utar, Hâle, 2016. "International Trade and Job Polarization: Evidence at the Worker-Level," CEPR Discussion Papers 11311, C.E.P.R. Discussion Papers.
    7. Sabien (S.) Dobbelaere & Jacques Mairesse, 2017. "Comparing micro-evidence on rent sharing from two different econometric models," Tinbergen Institute Discussion Papers 17-112/V, Tinbergen Institute.
    8. Fukao, Kyoji & Perugini, Cristiano & Pompei, Fabrizio, 2020. "Labour Market Institutions, Technology and Rent Sharing," IZA Discussion Papers 13155, Institute of Labor Economics (IZA).
    9. Card, David & Cardoso, Ana Rute & Heining, Joerg & Kline, Patrick, 2016. "Firms and Labor Market Inequality: Evidence and Some Theory," Institute for Research on Labor and Employment, Working Paper Series qt54h140j3, Institute of Industrial Relations, UC Berkeley.
    10. Giovanni Dosi & Richard Freeman & Marcelo Pereira & Andrea Roventini & Maria Enrica Virgillito, 2020. "The impact of deunionization on the growth and dispersion of productivity and pay," Post-Print hal-04090320, HAL.
    11. Simon Jäger & Benjamin Schoefer & Samuel Young & Josef Zweimüller, 2018. "Wages and the value of nonemployment," ECON - Working Papers 313, Department of Economics - University of Zurich.
    12. Moon, Ji-Woong, 2023. "Strategic referrals and on-the-job search equilibrium," Journal of Monetary Economics, Elsevier, vol. 134(C), pages 135-151.
    13. Rasmus Lentz & Jesper Bagger, 2015. "An Empirical Model of Wage Dispersion with Sorting," 2015 Meeting Papers 1345, Society for Economic Dynamics.
    14. Gueyon Kim & Dohyeon Lee, 2020. "Offshoring and Segregation by Skill: Theory and Evidence," Working Papers 2020-073, Human Capital and Economic Opportunity Working Group.
    15. Fukao, Kyoji & Perugini, Cristiano & Pompei, Fabrizio, 2022. "Labour market regimes, technology and rent-sharing in Japan," Economic Modelling, Elsevier, vol. 112(C).
    16. 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.
    17. Mons Chan & Ming Xu & Sergio Salgado, 2019. "Heterogeneous Passthrough from TFP to Wages," 2019 Meeting Papers 1447, 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. 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).
    3. 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).
    4. 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.
    5. Claudia Foroni & Paolo Gelain & Massimiliano Marcellino, 2022. "The financial accelerator mechanism: does frequency matter?," Working Papers 22-29, Federal Reserve Bank of Cleveland.
    6. 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.
    7. 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.
    8. Posch, Olaf, 2018. "Resurrecting the New-Keynesian Model: (Un)conventional Policy and the Taylor rule," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181616, Verein für Socialpolitik / German Economic Association.
    9. 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. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. M. MALLIKARJUNA & R. Prabhakara RAO, 2019. "Volatility experience of major world stock markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(621), W), pages 35-52, Winter.
    9. 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.
    10. 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.
    11. Jia, Yun & Yang, Chunpeng, 2017. "Disagreement and the risk-return relation," Economic Modelling, Elsevier, vol. 64(C), pages 97-104.
    12. Ormos, Mihály & Timotity, Dusán, 2016. "Generalized asset pricing: Expected Downside Risk-based equilibrium modeling," Economic Modelling, Elsevier, vol. 52(PB), pages 967-980.
    13. 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.

  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. Claudia Foroni & Massimiliano Marcellino, 2013. "Mixed frequency structural models: estimation, and policy analysis," Working Paper 2013/15, Norges Bank.
    3. 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.
    4. Posch, Olaf, 2018. "Resurrecting the New-Keynesian Model: (Un)conventional Policy and the Taylor rule," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181616, Verein für Socialpolitik / German Economic Association.

  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. 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.
    3. 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".
    4. 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.
    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. 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.
    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. 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.
    2. Melvyn G. Coles & Dale T. Mortensen, 2012. "Equilibrium Labor Turnover, Firm Growth and Unemployment," NBER Working Papers 18022, National Bureau of Economic Research, Inc.
    3. Judith Niehues & Andreas Peichl, 2011. "Lower and upper bounds of unfair inequality: Theory and evidence for Germany and the US," Working Papers 216, ECINEQ, Society for the Study of Economic Inequality.
    4. Alexandre Janiak & Etienne Wasmer, 2014. "Employment protection and capital-labor ratios," SciencePo Working papers Main hal-01061024, HAL.
    5. Leland D. Crane, 2014. "Firm Dynamics and Assortative Matching," Working Papers 14-25, Center for Economic Studies, U.S. Census Bureau.
    6. 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.
    7. 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.
    8. 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.
    9. Böckerman, Petri & Maliranta, Mika, 2012. "Outsourcing, occupational restructuring, and employee well-being: Is there a silver lining?," Discussion Papers 1271, The Research Institute of the Finnish Economy.
    10. 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.
    11. John Kennes & Daniel le Maire, 2013. "Job Heterogeneity and Coordination Frictions," Economics Working Papers 2013-09, Department of Economics and Business Economics, Aarhus University.
    12. John Kennes & Daniel le Maire, 2013. "Competing Auctions of Skills," CAM Working Papers 2014_01, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    13. 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.
    14. 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.
    15. 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.
    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. 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.

  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. Botosaru, Irene, 2011. "A Duration Model with Dynamic Unobserved Heterogeneity," TSE Working Papers 11-262, Toulouse School of Economics (TSE), revised Nov 2013.
    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. Ilmakunnas, Pekka & Ilmakunnas, Seija, 2018. "Health and retirement age: Comparison of expectations and actual retirement," MPRA Paper 102618, University Library of Munich, Germany.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. 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.
    13. 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.

  15. 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. 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.
    2. Sander Barendse & Erik Kole & Dick van Dijk, 2019. "Backtesting Value-at-Risk and Expected Shortfall in the Presence of Estimation Error," Tinbergen Institute Discussion Papers 19-058/III, Tinbergen Institute.
    3. Meister, Alexander & Kreiß, Jens-Peter, 2016. "Statistical inference for nonparametric GARCH models," Stochastic Processes and their Applications, Elsevier, vol. 126(10), pages 3009-3040.
    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. 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.
    7. 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.
    8. Conrad, Christian & Mammen, Enno, 2016. "Asymptotics for parametric GARCH-in-Mean models," Journal of Econometrics, Elsevier, vol. 194(2), pages 319-329.
    9. Farooq Malik, 2015. "Revisiting the relationship between risk and return," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 25-40, January.
    10. Zhou, Jian, 2016. "A high-frequency analysis of the interactions between REIT return and volatility," Economic Modelling, Elsevier, vol. 56(C), pages 102-108.
    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. Dias, Gustavo Fruet, 2017. "The time-varying GARCH-in-mean model," Economics Letters, Elsevier, vol. 157(C), pages 129-132.
    13. 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.

  16. 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. 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.
    3. 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.

  17. 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. 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.
    2. Xue-Zhong He & Huanhuan Zheng, 2016. "Trading Heterogeneity Under Information Uncertainty," Research Paper Series 373, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Lui, Yiu Lim & Phillips, Peter C.B. & Yu, Jun, 2024. "Robust testing for explosive behavior with strongly dependent errors," Journal of Econometrics, Elsevier, vol. 238(2).
    8. 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.
    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. 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.
    11. 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.
    12. Zhongjun Qu, 2010. "A Test Against Spurious Long Memory," Boston University - Department of Economics - Working Papers Series WP2010-051, Boston University - Department of Economics.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Li, Junye, 2011. "Volatility components, leverage effects, and the return-volatility relations," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1530-1540, June.
    18. 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.
    19. 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.
    20. 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.
    21. Hassler, Uwe & Hosseinkouchack, Mehdi, 2014. "Effect of the order of fractional integration on impulse responses," Economics Letters, Elsevier, vol. 125(2), pages 311-314.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    28. 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).
    29. 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.
    30. 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.
    31. 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.
    32. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2022. "Long-memory and volatility spillovers across petroleum futures," Energy, Elsevier, vol. 243(C).
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. 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.
    42. Chen Liu & Chao Wang & Minh-Ngoc Tran & Robert Kohn, 2023. "Deep Learning Enhanced Realized GARCH," Papers 2302.08002, arXiv.org, revised Oct 2023.
    43. 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).
    44. 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.

  18. 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. 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.
    2. Christian Redl & Derek Bunn, 2013. "Determinants of the premium in forward contracts," Journal of Regulatory Economics, Springer, vol. 43(1), pages 90-111, January.
    3. Jesús M. López-Lezama & David Tobón-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 314-287, July.
    4. Jónsson, Tryggvi & Pinson, Pierre & Madsen, Henrik, 2010. "On the market impact of wind energy forecasts," Energy Economics, Elsevier, vol. 32(2), pages 313-320, March.
    5. 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.

  19. Thomas Busch & Bent Jesper Christensen & Morten Ørregaard Nielsen, 2007. "The Role of Implied Volatility in Forecasting Future Realized Volatility and Jumps in Foreign Exchange, Stock, and Bond Markets," CREATES Research Papers 2007-09, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. 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.
    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. Viktor Todorov & Yang Zhang, 2022. "Information gains from using short‐dated options for measuring and forecasting volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 368-391, March.
    4. Fulvio Corsi & Davide Pirino & Roberto Renò, 2010. "Threshold bipower variation and the impact of jumps on volatility forecasting," Post-Print hal-00741630, HAL.
    5. Ricardo Crisóstomo & Lorena Couso, 2017. "Financial density forecasts: A comprehensive comparison of risk-neutral and historical schemes," CNMV Working Papers CNMV Working Papers no. 6, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    6. Seul-Ki Park & Ji-Eun Choi & Dong Wan Shin, 2017. "Value at risk forecasting for volatility index," Applied Economics Letters, Taylor & Francis Journals, vol. 24(21), pages 1613-1620, December.
    7. 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).
    8. 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.
    9. 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).
    10. 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.
    11. 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.
    12. Sapkota, Niranjan, 2022. "News-based sentiment and bitcoin volatility," International Review of Financial Analysis, Elsevier, vol. 82(C).
    13. Qu, Hui & Wang, Tianyang & Zhang, Yi & Sun, Pengfei, 2019. "Dynamic hedging using the realized minimum-variance hedge ratio approach – Examination of the CSI 300 index futures," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    14. Chen, Rongda & Zhou, Hanxian & Yu, Lean & Jin, Chenglu & Zhang, Shuonan, 2021. "An efficient method for pricing foreign currency options," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    15. Özbekler, Ali Gencay & Kontonikas, Alexandros & Triantafyllou, Athanasios, 2021. "Volatility forecasting in European government bond markets," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1691-1709.
    16. Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil price realized volatility using information channels from other asset classes," MPRA Paper 96276, University Library of Munich, Germany.
    17. Simard Clarence & Rémillard Bruno, 2015. "Forecasting time series with multivariate copulas," Dependence Modeling, De Gruyter, vol. 3(1), pages 1-24, May.
    18. Alexander Kempf & Olaf Korn & Sven Saßning, 2015. "Portfolio Optimization Using Forward-Looking Information," Review of Finance, European Finance Association, vol. 19(1), pages 467-490.
    19. 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.
    20. Bernales, Alejandro & Guidolin, Massimo, 2014. "Can we forecast the implied volatility surface dynamics of equity options? Predictability and economic value tests," Journal of Banking & Finance, Elsevier, vol. 46(C), pages 326-342.
    21. 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).
    22. Petar Sabtchevsky & Paul Whelan & Andrea Vedolin & Philippe Mueller, 2017. "Variance Risk Premia on Stocks and Bonds," 2017 Meeting Papers 1161, Society for Economic Dynamics.
    23. Dudley Gilder & Leonidas Tsiaras, 2020. "Volatility forecasts embedded in the prices of crude‐oil options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1127-1159, July.
    24. Peter Christoffersen & Bruno Feunou & Yoontae Jeon, 2015. "Option Valuation with Observable Volatility and Jump Dynamics," Staff Working Papers 15-39, Bank of Canada.
    25. 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.
    26. 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.
    27. Sensoy, Ahmet & Serdengeçti, Süleyman, 2020. "Impact of portfolio flows and heterogeneous expectations on FX jumps: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 68(C).
    28. Liu, Yi & Liu, Huifang & Zhang, Lei, 2019. "Modeling and forecasting return jumps using realized variation measures," Economic Modelling, Elsevier, vol. 76(C), pages 63-80.
    29. Dicle, Mehmet F. & Levendis, John, 2020. "Historic risk and implied volatility," Global Finance Journal, Elsevier, vol. 45(C).
    30. 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.
    31. Caporin, Massimiliano & Kolokolov, Aleksey & Renò, Roberto, 2017. "Systemic co-jumps," Journal of Financial Economics, Elsevier, vol. 126(3), pages 563-591.
    32. Oikonomou, Ioannis & Stancu, Andrei & Symeonidis, Lazaros & Wese Simen, Chardin, 2019. "The information content of short-term options," Journal of Financial Markets, Elsevier, vol. 46(C).
    33. Hui Qu & Tianyang Wang & Peng Shangguan & Mengying He, 2024. "Revisiting the puzzle of jumps in volatility forecasting: The new insights of high‐frequency jump intensity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(2), pages 218-251, February.
    34. Hoerova, Marie & Bekaert, Geert, 2014. "The VIX, the variance premium and stock market volatility," Working Paper Series 1675, European Central Bank.
    35. Byun, Suk Joon & Kim, Jun Sik, 2013. "The information content of risk-neutral skewness for volatility forecasting," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 142-161.
    36. Frantiv{s}ek v{C}ech & Jozef Barun'ik, 2018. "Panel quantile regressions for estimating and predicting the Value--at--Risk of commodities," Papers 1807.11823, arXiv.org.
    37. Bo-Young Chang & Peter Christoffersen & Kris Jacobs & Gregory Vainberg, 2011. "Option-Implied Measures of Equity Risk," Review of Finance, European Finance Association, vol. 16(2), pages 385-428.
    38. Yaw‐Huei Wang & Kuang‐Chieh Yen, 2018. "The information content of option‐implied tail risk on the future returns of the underlying asset," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(4), pages 493-510, April.
    39. Annalisa Molino & Carlo Sala, 2021. "Forecasting value at risk and conditional value at risk using option market data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(7), pages 1190-1213, November.
    40. Kim Christensen & Mathias Siggaard & Bezirgen Veliyev, 2021. "A machine learning approach to volatility forecasting," CREATES Research Papers 2021-03, Department of Economics and Business Economics, Aarhus University.
    41. Maneesoonthorn, Worapree & Martin, Gael M. & Forbes, Catherine S., 2020. "High-frequency jump tests: Which test should we use?," Journal of Econometrics, Elsevier, vol. 219(2), pages 478-487.
    42. 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.
    43. 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.
    44. Guo, Hui & Qiu, Buhui, 2014. "Options-implied variance and future stock returns," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 93-113.
    45. Bu, Ruijun & Hizmeri, Rodrigo & Izzeldin, Marwan & Murphy, Anthony & Tsionas, Mike, 2023. "The contribution of jump signs and activity to forecasting stock price volatility," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 144-164.
    46. Giampiero M. Gallo & Demetrio Lacava & Edoardo Otranto, 2023. "Volatility jumps and the classification of monetary policy announcements," Papers 2305.12192, arXiv.org.
    47. Zhang, Yaojie & Wahab, M.I.M. & Wang, Yudong, 2023. "Forecasting crude oil market volatility using variable selection and common factor," International Journal of Forecasting, Elsevier, vol. 39(1), pages 486-502.
    48. Jungmu Kim & Yuen Jung Park, 2020. "Predictability of OTC Option Volatility for Future Stock Volatility," Sustainability, MDPI, vol. 12(12), pages 1-23, June.
    49. Li, Chenxing & Zhang, Zehua & Zhao, Ran, 2023. "Volatility or higher moments: Which is more important in return density forecasts of stochastic volatility model?," MPRA Paper 118459, University Library of Munich, Germany.
    50. 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.
    51. Christoffersen, Peter & Jacobs, Kris & Chang, Bo Young, 2013. "Forecasting with Option-Implied Information," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 581-656, Elsevier.
    52. Massimiliano Caporin & Eduardo Rossi & Paolo Santucci de Magistris, 2016. "Volatility Jumps and Their Economic Determinants," Journal of Financial Econometrics, Oxford University Press, vol. 14(1), pages 29-80.
    53. Tomáš Plíhal, 2021. "Scheduled macroeconomic news announcements and Forex volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1379-1397, December.
    54. Massimiliano Caporin & Aleksey Kolokolov & Roberto RenoÕ, 2014. "Multi-jumps," "Marco Fanno" Working Papers 0185, Dipartimento di Scienze Economiche "Marco Fanno".
      • Caporin, Massimiliano & Kolokolov, Aleksey & Renò, Roberto, 2014. "Multi-jumps," MPRA Paper 58175, University Library of Munich, Germany.
    55. 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.
    56. 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.
    57. Kruse, Robinson & Leschinski, Christian & Will, Michael, 2016. "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," Hannover Economic Papers (HEP) dp-571, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    58. Yun, Jaeho, 2020. "Variance risk premium in a small open economy with volatile capital flows: The case of Korea," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 105-125.
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    31. 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.
    32. 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.
    33. 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.
    34. 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.
    35. 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.
    36. 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.
    37. 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.
    38. 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.
    39. Ceylan, Ozcan, 2012. "Time-Varying Volatility Asymmetry: A Conditioned HAR-RV(CJ) EGARCH-M Model," GIAM Working Papers 12-4, Galatasaray University Economic Research Center.

  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. 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.
    2. 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.

  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. Zenou, Yves & Gautier, Pieter, 2008. "Car Ownership and the Labour Market of Ethnic Minorities," CEPR Discussion Papers 7061, C.E.P.R. Discussion Papers.
    2. 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.
    3. Pieter A. Gautier & Coen N. Teulings, 2011. "Sorting and the Output Loss due to Search Frictions," Tinbergen Institute Discussion Papers 11-010/3, Tinbergen Institute, revised 26 Jan 2012.
    4. Javier Ortega & Laurence Rioux, 2006. "On the Extent of Re-entitlement Effects in Unemployment Compensation"," Working Papers 2006-25, Center for Research in Economics and Statistics.
    5. Amaral, Pedro S. & Tasci, Murat, 2016. "The cyclical behavior of equilibrium unemployment and vacancies across OECD countries," European Economic Review, Elsevier, vol. 84(C), pages 184-201.
    6. DECANCQ, Koen, 2014. "Copula-based measurement of dependence between dimensions of well-being," LIDAM Reprints CORE 2606, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. Cai, Xiaoming & Gautier, Pieter A. & Teulings, Coen N. & Watanabe, Makoto, 2014. "Collective versus decentralized wage bargaining and the efficient allocation of resources," Labour Economics, Elsevier, vol. 26(C), pages 34-42.
    12. Florian Oswald, 2015. "Regional Shocks, Migration and Homeownership," 2015 Meeting Papers 759, Society for Economic Dynamics.
    13. 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.
    14. 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.
    15. 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.
    16. Burgess, Simon & Turon, Hélène, 2010. "Worker flows, job flows and unemployment in a matching model," European Economic Review, Elsevier, vol. 54(3), pages 393-408, April.
    17. Paul Sullivan & Ted To, 2014. "Search and Nonwage Job Characteristics," Journal of Human Resources, University of Wisconsin Press, vol. 49(2), pages 472-507.
    18. 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.
    19. 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.
    20. Yale University & Rafael Lopes de Melo, 2008. "Assortative Matching in the Brazilian Labor Market," 2008 Meeting Papers 801, Society for Economic Dynamics.
    21. Florian Oswald, 2015. "Regional Shocks, Migration and Homeownership," Working Papers hal-03459804, HAL.
    22. 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 –.
    23. 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.
    24. Florian Oswald, 2015. "Regional Shocks, Migration and Homeownership," Sciences Po publications info:hdl:2441/n1d9kd7k48k, Sciences Po.
    25. Neumann, George & Olitsky, Neal & Robbins, Steve, 2009. "Job congruence, academic achievement, and earnings," Labour Economics, Elsevier, vol. 16(5), pages 503-509, October.

  23. 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. 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.
    2. 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.
    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. 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.
    5. 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.

  24. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Bunčák, Tomáš, 2013. "Jump Processes in Exchange Rates Modeling," MPRA Paper 49882, University Library of Munich, Germany.

  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. 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.
    2. 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.
    3. 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).
    4. Pierre Cahuc & Fabien Postel-Vinay & Jean-Marc Robin, 2006. "Wage bargaining with on-the-job search: theory and evidence," SciencePo Working papers Main hal-03471856, HAL.
    5. Jeffrey Smith & Jeremy Lise & Shannon N. Seitz, 2005. "Equilibrium Policy Experiments And The Evaluation Of Social Programs," Working Paper 1076, Economics Department, Queen's University.
    6. Bas van der Klaauw & Aico van Vuuren & Peter Berkhout, 2004. "Labor Market Prospects, Search Intensity and the Transition from College to Work," Tinbergen Institute Discussion Papers 04-064/3, Tinbergen Institute.
    7. 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.
    8. Rasmus Lentz & Jesper Bagger, 2009. "An Empirical Model of Wage Dispersion with Sorting," 2009 Meeting Papers 964, Society for Economic Dynamics.
    9. Emmanuele Bobbio & Henning Bunzel, 2018. "The Danish Matched Employer-Employee Data," Economics Working Papers 2018-03, Department of Economics and Business Economics, Aarhus University.
    10. 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.
    11. 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).
    12. Wolf, Katja & Stockinger, Bastian, 2016. "The productivity effects of worker mobility between heterogenous firms," VfS Annual Conference 2016 (Augsburg): Demographic Change 145750, Verein für Socialpolitik / German Economic Association.
    13. Pierre Cahuc & Fabien Postel-Vinay & Jean-Marc Robin, 2006. "Wage Bargaining with On-the-Job Search: Theory and Evidence," Econometrica, Econometric Society, vol. 74(2), pages 323-364, March.
    14. Tomi Kyyrä, 2007. "Estimating Equilibrium Search Models from Finnish Data," Finnish Economic Papers, Finnish Economic Association, vol. 20(2), pages 139-165, Autumn.
    15. 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.
    16. 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.
    17. Ping Yan, 2013. "How much do Workers Search?," Annals of Economics and Finance, Society for AEF, vol. 14(1), pages 249-277, May.
    18. 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.
    19. Gérard J, Van den Berg & Aico Van Vuuren, 2003. "The effect of Search Frictions on Wages," Working Papers 2003-29, Center for Research in Economics and Statistics.
    20. 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.
    21. 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.
    22. Hertweck, Matthias S. & Lewis, Vivien & Villa, Stefania, 2019. "Going the extra mile: Effort by workers and job-seekers," Discussion Papers 29/2019, Deutsche Bundesbank.
    23. 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).
    24. Giovanni Sulis, 2008. "Gender Wage Differentials in Italy: A Structural Estimation Approach," LABORatorio R. Revelli Working Papers Series 74, LABORatorio R. Revelli, Centre for Employment Studies.
    25. Marianna Kudlyak & Andreas Hornstein, 2017. "Estimating Matching Efficiency with Variable Search Effort," 2017 Meeting Papers 881, Society for Economic Dynamics.
    26. R. Jason Faberman & Marianna Kudlyak, 2014. "The Intensity of Job Search and Search Duration," Working Paper 14-12, Federal Reserve Bank of Richmond.
    27. Fontaine, Francois & Nyborg Jensen, Janne & Vejlin, Rune Majlund, 2020. "Wealth, Portfolios, and Unemployment Duration," IZA Discussion Papers 13423, Institute of Labor Economics (IZA).
    28. Michael U. Krause & Thomas A. Lubik, 2010. "On-the-job search and the cyclical dynamics of the labor market," Working Paper 10-12, Federal Reserve Bank of Richmond.
    29. Lentz, Rasmus, 2010. "Sorting by search intensity," Journal of Economic Theory, Elsevier, vol. 145(4), pages 1436-1452, July.
    30. Niklas Engbom, 2019. "Application Cycles," 2019 Meeting Papers 1170, Society for Economic Dynamics.
    31. Damdinsuren, Erdenebulgan & Zaharieva, Anna, 2023. "Expectation formation and learning in the labour market with on-the-job search and Nash bargaining," Labour Economics, Elsevier, vol. 81(C).
    32. Jean-Baptiste Michau, 2013. "On the Provision of Insurance Against Search-Induced Wage Fluctuations," Working Papers hal-00850547, HAL.
    33. 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.
    34. Panagiotis Nanos & Christian Schluter, 2013. "The Composition of Wage Differentials between Migrants and Natives," Papers 1306.1781, arXiv.org, revised Oct 2013.
    35. Fabien Postel-Vinay & Jean-Marc Robin, 2004. "To Match or Not to Match? Optimal Wage Policy With Endogenous Worker Search Intensity," Post-Print hal-00279655, HAL.
    36. 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.
    37. Rasmus Lentz, 2012. "An Empirical Model of Wage Dispersion with Sorting," 2012 Meeting Papers 1040, Society for Economic Dynamics.
    38. Miyamoto, Hiroaki & Takahashi, Yuya, 2011. "Productivity growth, on-the-job search, and unemployment," Journal of Monetary Economics, Elsevier, vol. 58(6), pages 666-680.
    39. Jeffrey Smith & Jeremy Lise & Shannon N. Seitz, 2006. "Evaluating Search And Matching Models Using Experimental Data," Working Paper 1074, Economics Department, Queen's University.
    40. Jan Eeckhout & Alireza Sepahsalari, 2020. "The Effect of Wealth on Worker Productivity," Bristol Economics Discussion Papers 20/731, School of Economics, University of Bristol, UK.
    41. Merlino, Luca Paolo & Parrotta, Pierpaolo & Pozzoli, Dario, 2014. "Gender Differences in Sorting," Working Papers 01-2014, Copenhagen Business School, Department of Economics.
    42. 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.
    43. Gautier, Pieter & Moraga-González, José-Luis & Wolthoff, Ronald, 2007. "Structural Estimation of Search Intensity: Do Non-Employed Workers Search Enough?," CEPR Discussion Papers 6440, C.E.P.R. Discussion Papers.
    44. Julien Prat, 2006. "The Rate of Learning-by-Doing: Estimates from a Search-Matching Model," 2006 Meeting Papers 647, Society for Economic Dynamics.
    45. Potter, Tristan, 2021. "Learning and job search dynamics during the Great Recession," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 706-722.
    46. Katarína Borovičková & Robert Shimer, 2017. "High Wage Workers Work for High Wage Firms," NBER Working Papers 24074, National Bureau of Economic Research, Inc.
    47. JuanJ. Dolado & Marcel Jansen & JuanF. Jimeno, 2009. "On-the-Job Search in a Matching Model with Heterogeneous Jobs and Workers," Economic Journal, Royal Economic Society, vol. 119(534), pages 200-228, January.
    48. Pierre Cahuc & Fabien Postel-Vinay & Jean-Marc Robin, 2006. "Wage bargaining with on-the-job search: theory and evidence," Post-Print hal-03471856, HAL.
    49. Giuseppe Moscarini, 2008. "Job-to-Job Quits and Corporate Culture: New Results," 2008 Meeting Papers 153, Society for Economic Dynamics.
    50. 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.
    51. 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.
    52. Robert E. Hall & Andreas I. Mueller, 2015. "Wage Dispersion and Search Behavior," Economics Working Papers 15119, Hoover Institution, Stanford University.
    53. W. Similan Rujiwattanapong, 2019. "Unemployment Dynamics and Endogenous Unemployment Insurance Extensions," Discussion Papers 1909, Centre for Macroeconomics (CFM).
    54. 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.
    55. David Card & David S. Lee & Zhuan Pei & Andrea Weber, 2015. "Inference on Causal Effects in a Generalized Regression Kink Design," Econometrica, Econometric Society, vol. 83, pages 2453-2483, November.
    56. Gomme, Paul & Lkhagvasuren, Damba, 2015. "Worker search effort as an amplification mechanism," Journal of Monetary Economics, Elsevier, vol. 75(C), pages 106-122.
    57. Compton, Andrew, 2019. "A Search Theoretic Model of Part-Time Employment and Multiple Job Holdings," MPRA Paper 97003, University Library of Munich, Germany.
    58. Moon, Ji-Woong, 2023. "Strategic referrals and on-the-job search equilibrium," Journal of Monetary Economics, Elsevier, vol. 134(C), pages 135-151.
    59. Zuchuat, Jeremy & Lalive, Rafael & Osikominu, Aderonke & Pesaresi, Lorenzo & Zweimüller, Josef, 2023. "Duration Dependence in Finding a Job: Applications, Interviews, and Job Offers," IZA Discussion Papers 16602, Institute of Labor Economics (IZA).
    60. Carrillo-Tudela, Carlos & Smith, Eric, 2009. "Wage Dispersion and Wage Dynamics Within and Across Firms," IZA Discussion Papers 4031, Institute of Labor Economics (IZA).
    61. Dahl, Christian M. & le Maire, Daniel & Munch, Jakob R., 2011. "Wage Dispersion and Decentralization of Wage Bargaining," IZA Discussion Papers 6176, Institute of Labor Economics (IZA).
    62. Bartolucci, Cristian, 2012. "Business cycles and wage rigidity," Labour Economics, Elsevier, vol. 19(4), pages 568-583.
    63. 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.
    64. Giovanni Sulis, 2008. "Wage Dispersion and Equilibrium Search Models: Some Evidence from Italy," LABOUR, CEIS, vol. 22(4), pages 593-627, December.
    65. 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.
    66. Tilahun, Nebiyou & Levinson, David M., 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.
    67. 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.
    68. Shaimaa Yassin, 2013. "Structural Labor Market Transitions and Wage Dispersion in Egypt and Jordan," Working Papers 753, Economic Research Forum, revised May 2013.
    69. 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.
    70. Rujiwattanapong, W. Similan, 2018. "Unemployment insurance and labour productivity over the business cycle," LSE Research Online Documents on Economics 90872, London School of Economics and Political Science, LSE Library.
    71. Rasmus Lentz & Jesper Bagger, 2015. "An Empirical Model of Wage Dispersion with Sorting," 2015 Meeting Papers 1345, Society for Economic Dynamics.
    72. Arseneau, David & Epstein, Brendan, 2017. "Offshoring, Mismatch, and Labor Market Outcomes," MPRA Paper 88691, University Library of Munich, Germany.
    73. Andrew Shephard, 2011. "Equilibrium Search and Tax Credit Reform," Working Papers 1336, Princeton University, Department of Economics, Center for Economic Policy Studies..
    74. Hui Wang & Shu Xu, 2022. "Heterogeneity Effect of Corporate Financialization on Total Factor Productivity," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
    75. Giuseppe Moscarini, 2005. "Equilibrium Wage Dispersion: Monopsony or Sorting?," Rivista di Politica Economica, SIPI Spa, vol. 95(2), pages 3-24, March-Apr.
    76. 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.
    77. 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.
    78. Stéphane Bonhomme & Grégory Jolivet, 2005. "The Pervasive Absence of Compensating Differentials," Working Papers 2005-28, Center for Research in Economics and Statistics.
    79. Rendon, Silvio, 2023. "Wage-Specific Search Intensity," IZA Discussion Papers 15971, Institute of Labor Economics (IZA).
    80. Ge, Teng, 2015. "Does search boost efficiency?," Economics Letters, Elsevier, vol. 130(C), pages 72-74.
    81. Espen R Moen & Rasmus Lentz, 2017. "Competitive or Random Search?," 2017 Meeting Papers 1128, Society for Economic Dynamics.
    82. 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.
    83. Gregory Veramendi, 2012. "Labor Market Dynamics: A Model of Search and Human Capital Accumulation," 2012 Meeting Papers 1059, Society for Economic Dynamics.
    84. Choi, Jung Ho & Gipper, Brandon, 2019. "Fraudulent Financial Reporting and the Consequences for Employees," Research Papers 3771, Stanford University, Graduate School of Business.
    85. Petra Marotzke, 2014. "Job Search and the Age-Inequality Profile," Working Paper Series of the Department of Economics, University of Konstanz 2014-06, Department of Economics, University of Konstanz.
    86. 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.
    87. 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.
    88. Arnaud Chéron & Jean-Olivier Hairault & François Langot, 2008. "A Quantitative Evaluation of Payroll Tax Subsidies For Low-Wage Workers: An Equilibrium Search Approach," Post-Print halshs-00270295, HAL.
    89. Nicolas Roys & Rasmus Lentz, 2016. "Training and Search On the Job," 2016 Meeting Papers 187, Society for Economic Dynamics.
    90. 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).
    91. Herbold, Daniel & Schumacher, Heiner, 2020. "The agency costs of on-the-job search," Games and Economic Behavior, Elsevier, vol. 121(C), pages 435-452.
    92. 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.
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    94. 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.
    95. Violante, Giovanni & Hornstein, Andreas, 2006. "Frictional Wage Dispersion in Search Models: A Quantitative Approach," CEPR Discussion Papers 5935, C.E.P.R. Discussion Papers.
    96. 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.
    97. Marco Leonardi, 2017. "Job Mobility And Earnings Instability," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 260-280, January.
    98. van der Klaauw, Bas & van Vuuren, Aico, 2010. "Job search and academic achievement," European Economic Review, Elsevier, vol. 54(2), pages 294-316, February.
    99. Bandopadhyay, Titas Kumar, 2014. "Efficiency Wage in the Frictional Labour Market- A Theoretical Analysis," MPRA Paper 60124, University Library of Munich, Germany.
    100. 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.
    101. 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.
    102. Herbold, Daniel, 2014. "A repeated principal-agent model with on-the-job search," SAFE Working Paper Series 64, Leibniz Institute for Financial Research SAFE.
    103. Marilyn Pease & Kyungmin Kim, 2014. "Costly Search with Adverse Selection: Solicitation Curse vs. Accelerating Blessing," 2014 Meeting Papers 816, Society for Economic Dynamics.
    104. Katsuya Takii, 2005. "Limited Attention, Interaction and the Growth of a Firm," Macroeconomics 0506005, University Library of Munich, Germany.
    105. Pei, Yun & Xie, Zoe, 2021. "A quantitative theory of time-consistent unemployment insurance," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 848-870.
    106. 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).
    107. Espen R. Moen & Anna Godøy, 2011. "Taking competitive search to data," 2011 Meeting Papers 880, Society for Economic Dynamics.
    108. Guillaume Rocheteau & Murat Tasci, 2008. "Positive and normative effects of a minimum wage," Working Papers (Old Series) 0801, Federal Reserve Bank of Cleveland.
    109. 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.
    110. van Huizen, Thomas & Alessie, Rob, 2015. "Time preferences and career investments," Labour Economics, Elsevier, vol. 35(C), pages 77-92.
    111. Gottfries, Axel & Teulings, Coen, 2023. "Returns to on-the-job search and wage dispersion," Labour Economics, Elsevier, vol. 80(C).
    112. Jesper Bagger & Espen Moen & Rune Vejlin, 2018. "Optimal Taxation with On-the-Job Search," 2018 Meeting Papers 805, Society for Economic Dynamics.
    113. Bandopadhyay, Titas Kumar, 2014. "Efficiency Wage and Endogenous Job Destruction in the DMP Model----- an Extension," MPRA Paper 59564, University Library of Munich, Germany.
    114. Rasmus Lentz & Nicolas Roys, 2015. "Training and Search On the Job," NBER Working Papers 21702, National Bureau of Economic Research, Inc.
    115. Kaas Leo, 2010. "Variable Search Intensity with Coordination Unemployment," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-33, October.
    116. 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.
    117. Papp, Tamás K., 2015. "The structure of labor market flows," Economics Series 318, Institute for Advanced Studies.

  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. 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.
    2. 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.
    3. 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.
    4. Ortega, J., 2000. "Job Rotation as a Mechanism for Learning," Papers 00-04, Centre for Labour Market and Social Research, Danmark-.

  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. 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).
    2. Thomas Barnay & François Legendre, 2012. "Simultaneous causality between health status and employment status within the population aged 30-59 in France," Working Papers halshs-00856217, HAL.
    3. 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.
    4. Thomas Barnay, 2005. "Santé déclarée et cessation d'activité," Post-Print halshs-01298644, HAL.
    5. 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.
    6. Zhiyang Jia, 2005. "Retirement Behavior of Working Couples in Norway. A Dynamic Programming Approach," Discussion Papers 405, Statistics Norway, Research Department.
    7. 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.
    8. Zhiyang Jia, 2005. "Spousal Influence on Early Retirement Behavior," Discussion Papers 406, Statistics Norway, Research Department.

  28. 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.

  29. 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. 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).
    2. Rosholm, Michael & Svarer, Michael, 2004. "Endogenous wage dispersion in a search-matching model," Labour Economics, Elsevier, vol. 11(5), pages 623-645, October.

  30. 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 & François Fontaine & Fabien Postel Vinay & Jean-Marc Robin, 2014. "Tenure, Experience, Human Capital and Wages: A Tractable Equilibrium Search Model of Wage Dynamics," Sciences Po publications info:hdl:2441/7rep5mp5ij9, Sciences Po.
    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. 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.
    5. Carlos Carrillo-Tudela, 2010. "Job Search, Human Capital and Wage Inequality," 2010 Meeting Papers 723, Society for Economic Dynamics.
    6. 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.
    7. Amit Friedman, 2005. "Wage Distribution and Economic Growth," Bank of Israel Working Papers 2005.13, Bank of Israel.
    8. 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 Aug 2023.
    9. Gregory Veramendi, 2012. "Labor Market Dynamics: A Model of Search and Human Capital Accumulation," 2012 Meeting Papers 1059, Society for Economic Dynamics.
    10. 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.
    11. Jesper Bagger & François Fontaine & Fabien Postel-Vinay & Jean-Marc Robin, 2011. "Tenure, Experience, Human Capital and Wages: A Tractable Equilibrium Search Model of Wage Dynamics," SciencePo Working papers Main hal-03461428, HAL.
    12. Jesper Bagger & Francois Fontaine & Fabien Postel-Vinay & Jean-Marc Robin, 2014. "Tenure, Experience, Human Capital, and Wages," SciencePo Working papers Main hal-01301431, HAL.

  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. 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.
    2. 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.
    3. Ortega, J., 2000. "Job Rotation as a Mechanism for Learning," Papers 00-04, Centre for Labour Market and Social Research, Danmark-.

  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.

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    1. Oliveira, Luís & Curto, José Dias & Nunes, João Pedro, 2012. "The determinants of sovereign credit spread changes in the Euro-zone," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 278-304.
    2. Leo Krippner, 2010. "A theoretical foundation for the Nelson and Siegel class of yield curve models, and an empirical application to U.S. yield curve dynamics," Reserve Bank of New Zealand Discussion Paper Series DP2010/11, Reserve Bank of New Zealand.
    3. Rafael Barros de Rezende, 2011. "Giving Flexibility to the Nelson-Siegel Class of Term Structure Models," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(1), pages 27-49.
    4. Leippold, Markus & Wu, Liuren, 2002. "Asset Pricing under the Quadratic Class," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(2), pages 271-295, June.
    5. 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.
    6. 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.
    7. 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.
    8. Fredrik Armerin & Bjarne Astrup Jensen & Tomas Bjork, 2007. "Term Structure Models with Parallel and Proportional Shifts," Applied Mathematical Finance, Taylor & Francis Journals, vol. 14(3), pages 243-260.
    9. Ioannidis, Christos & Ka, Kook, 2018. "The impact of oil price shocks on the term structure of interest rates," Energy Economics, Elsevier, vol. 72(C), pages 601-620.
    10. Frestad, Dennis, 2008. "Common and unique factors influencing daily swap returns in the Nordic electricity market, 1997-2005," Energy Economics, Elsevier, vol. 30(3), pages 1081-1097, May.
    11. Leo Krippner, 2005. "Attributing Returns and Optimising United States Swaps Portfolios Using an Intertemporally-Consistent and Arbitrage-Free Model of the Yield Curve," Working Papers in Economics 05/03, University of Waikato.
    12. Radu Tunaru, 2015. "Model Risk in Financial Markets:From Financial Engineering to Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9524.
    13. Coroneo, Laura & Nyholm, Ken & Vidova-Koleva, Rositsa, 2011. "How arbitrage-free is the Nelson-Siegel model?," Journal of Empirical Finance, Elsevier, vol. 18(3), pages 393-407, June.
    14. Francis X. Diebold, 2004. "The Nobel Memorial Prize for Robert F. Engle," PIER Working Paper Archive 04-010, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    15. Robert A. Jarrow, 2009. "The Term Structure of Interest Rates," Annual Review of Financial Economics, Annual Reviews, vol. 1(1), pages 69-96, November.
    16. A. Falco & LL. Navarro & J. Nave, 2010. "On the calibration of a Gaussian Heath-Jarrow-Morton model using consistent forward rate curves," Quantitative Finance, Taylor & Francis Journals, vol. 11(4), pages 495-504.
    17. 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.
    18. Albert K. Tsui & Junxiang Wu & Zhaoyong Zhang & Zhongxi Zheng, 2023. "Forecasting term structure of the Japanese bond yields in the presence of a liquidity trap," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(5), pages 1205-1227, August.
    19. Rui Chen & Jiri Svec & Maurice Peat, 2016. "Forecasting the Government Bond Term Structure in Australia," Australian Economic Papers, Wiley Blackwell, vol. 55(2), pages 99-111, June.
    20. Björk, Tomas, 2003. "On the Geometry of Interest Rate Models," SSE/EFI Working Paper Series in Economics and Finance 545, Stockholm School of Economics.
    21. Belal E. Baaquie & Marakani Srikant & Mitch C. Warachka, 2003. "A Quantum Field Theory Term Structure Model Applied to Hedging," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 6(05), pages 443-467.
    22. 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.
    23. Björk, Tomas & Landén, Camilla & Svensson, Lars, 2002. "Finite dimensional Markovian realizations for stochastic volatility forward rate models," SSE/EFI Working Paper Series in Economics and Finance 498, Stockholm School of Economics, revised 07 May 2002.
    24. Daniel Vela, 2013. "Forecasting Latin-American yield curves: An artificial neural network approach," Borradores de Economia 10502, Banco de la Republica.
    25. Eckhard Platen & Stefan Tappe, 2011. "Affine Realizations for Levy Driven Interest Rate Models with Real-World Forward Rate Dynamics," Research Paper Series 289, Quantitative Finance Research Centre, University of Technology, Sydney.
    26. Byrne, JP & Cao, S & Korobilis, D, 2016. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," Essex Finance Centre Working Papers 18195, University of Essex, Essex Business School.
    27. 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.
    28. 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.
    29. Li Chen & Erhan Bayraktar & H. Vincent Poor, 2003. "Consistency Problems For Jump-Diffusion Models," Finance 0304003, University Library of Munich, Germany.
    30. Craig Blackburn & Michael Sherris, 2011. "Consistent Dynamic Affine Mortality Model for Longevity Risk Applications," Working Papers 201107, ARC Centre of Excellence in Population Ageing Research (CEPAR), Australian School of Business, University of New South Wales.
    31. McNeil, James, 2023. "Monetary policy and the term structure of inflation expectations with information frictions," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    32. Chiarolla, Maria B. & De Angelis, Tiziano, 2015. "Analytical pricing of American Put options on a Zero Coupon Bond in the Heath–Jarrow–Morton model," Stochastic Processes and their Applications, Elsevier, vol. 125(2), pages 678-707.
    33. Stefan Tappe, 2019. "Existence of affine realizations for L\'evy term structure models," Papers 1907.02363, arXiv.org.
    34. 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.
    35. Luís Oliveira & João Vidal Nunes & Luís Malcato, 2014. "The performance of deterministic and stochastic interest rate risk measures:," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 13(3), pages 141-165, December.
    36. Dennis Schroers, 2024. "Robust Functional Data Analysis for Stochastic Evolution Equations in Infinite Dimensions," Papers 2401.16286, arXiv.org.
    37. Diebold, Francis X. & Li, Canlin, 2006. "Forecasting the term structure of government bond yields," Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
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    39. Ganchev, Alexander, 2009. "Modeling the yield curve of spot interest rates under the conditions in Bulgaria," MPRA Paper 70048, University Library of Munich, Germany.
    40. Hans Buehler, 2006. "Consistent Variance Curve Models," Finance and Stochastics, Springer, vol. 10(2), pages 178-203, April.
    41. 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.
    42. Francis X. Diebold, & Rudebusch, Glenn D. & Aruoba, S. Boragan, 2003. "The Macroeconomy and the Yield Curve: A Nonstructural Analysis," CFS Working Paper Series 2003/31, Center for Financial Studies (CFS).
    43. Björk, Tomas & Blix, Magnus & Landen, Camilla, 2005. "On finite dimensional realizations for the term structure of futures prices," SSE/EFI Working Paper Series in Economics and Finance 620, Stockholm School of Economics.
    44. Björk, Tomas, 2000. "A Geometric View of Interest Rate Theory," SSE/EFI Working Paper Series in Economics and Finance 419, Stockholm School of Economics, revised 21 Dec 2000.
    45. Björk, Tomas & Svensson, Lars, 1999. "On the Existence of Finite Dimensional Realizations for Nonlinear Forward Rate Models," SSE/EFI Working Paper Series in Economics and Finance 338, Stockholm School of Economics.
    46. Diana Zigraiova & Petr Jakubik, 2017. "Updating the Ultimate Forward Rate over Time: A Possible Approach," Working Papers 2017/03, Czech National Bank.
    47. Donati, Paola & Donati, Francesco, 2008. "Modelling and Forecasting the Yield Curve under Model uncertainty," Working Paper Series 917, European Central Bank.
    48. 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.
    49. Martin M. Andreasen & Jens H. E. Christensen & Glenn D. Rudebusch, 2017. "Term Structure Analysis with Big Data," Working Paper Series 2017-21, Federal Reserve Bank of San Francisco.
    50. Gaspar, Raquel M., 2004. "On Finite Dimensional Realizations of Forward Price Term Structure Models," SSE/EFI Working Paper Series in Economics and Finance 569, Stockholm School of Economics.
    51. Chen, Shi & Härdle, Wolfgang Karl & Wang, Weining, 2020. "The common and speci fic components of inflation expectation across European countries," IRTG 1792 Discussion Papers 2020-023, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    52. Raquel M. Gaspar & Mariana Khapko, 2023. "In memoriam: Tomas Björk (1947–2021)," Finance and Stochastics, Springer, vol. 27(4), pages 867-885, October.
    53. 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.
    54. Alexander N. Bogin & Nataliya Polkovnichenko & William M. Doerner, 2015. "Additional Market Risk Shocks: Prepayment Uncertainty and Option-Adjusted Spreads," FHFA Staff Working Papers 15-03, Federal Housing Finance Agency.
    55. Alexander Bogin & William Doerner, 2014. "Generating historically-based stress scenarios using parsimonious factorization," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 15(5), pages 591-611, November.
    56. Ranik Raaen Wahlstrøm & Florentina Paraschiv & Michael Schürle, 2022. "A Comparative Analysis of Parsimonious Yield Curve Models with Focus on the Nelson-Siegel, Svensson and Bliss Versions," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 967-1004, March.
    57. 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.
    58. Constantin Mellios, 2007. "Interest rate options valuation under incomplete information," Annals of Operations Research, Springer, vol. 151(1), pages 99-117, April.
    59. Leo Krippner, 2005. "An Intertemporally-Consistent and Arbitrage-Free Version of the Nelson and Siegel Class of Yield Curve Models," Working Papers in Economics 05/01, University of Waikato.
    60. Rihab Bedoui & Islem Kedidi, 2018. "Modeling Longevity Risk using Consistent Dynamics Affine Mortality Models," Working Papers hal-01678050, HAL.
    61. Renato França & Raquel M. Gaspar, 2023. "On the Bias of the Unbiased Expectation Theory," Mathematics, MDPI, vol. 12(1), pages 1-20, December.
    62. Jorge Miguel Ventura Bravo & Carlos Manuel Pereira da Silva, 2005. "Immunization Using a Parametric Model of the Term Structure," Economics Working Papers 19_2005, University of Évora, Department of Economics (Portugal).
    63. Francis X. Diebold & Glenn D. Rudebusch & S. Boragan Aruoba, 2004. "The Macroeconomy and the Yield Curve: A Dynamic Latent Factor Approach," NBER Working Papers 10616, National Bureau of Economic Research, Inc.
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    65. Hans Buehler, 2006. "Consistent Variance Curve Models," Finance and Stochastics, Springer, vol. 10(2), pages 178-203, April.
    66. 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.
    67. Chen, S. & Härdle, W.K. & Wang, W., 2016. "Inflation Co-movement across Countries in Multi-maturity Term Structure: An Arbitrage-Free Approach," Working Papers 16/06, Department of Economics, City University London.
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    2. 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.
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    4. 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.
    5. Katarzyna Lasak, 2008. "Maximum likelihood estimation of fractionally cointegrated systems," CREATES Research Papers 2008-53, Department of Economics and Business Economics, Aarhus University.
    6. 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.
    7. Gilles de Truchis & Florent Dubois & Elena Ivona Dumitrescu, 2019. "Local Whittle Analysis of Stationary Unbalanced Fractional Cointegration Systems," Working Papers hal-04141882, HAL.
    8. Afonso Gonçalves da Silva & Peter M Robinson, 2007. "Fractional Cointegration In StochasticVolatility Models," STICERD - Econometrics Paper Series 519, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    9. Hualde, Javier, 2014. "Estimation of long-run parameters in unbalanced cointegration," Journal of Econometrics, Elsevier, vol. 178(2), pages 761-778.
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    12. 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.
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    14. WANG, Shin-Huei & BAUWENS, Luc & HSIAO, Cheng, 2012. "Forecasting long memory processes subject to structural breaks," LIDAM Discussion Papers CORE 2012048, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. 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.
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    17. Gilles de Truchis & Benjamin Keddad, 2014. "On the Risk Comovements between the Crude Oil Market and the U.S. Dollar Exchange Rates," AMSE Working Papers 1421, Aix-Marseille School of Economics, France, revised May 2014.
    18. 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.).
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    20. Leschinski, Christian & Voges, Michelle & Sibbertsen, Philipp, 2018. "Integration and Disintegration of EMU Government Bond Markets," Hannover Economic Papers (HEP) dp-625, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
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    29. Kruse, Robinson & Leschinski, Christian & Will, Michael, 2016. "Comparing Predictive Accuracy under Long Memory - With an Application to Volatility Forecasting," Hannover Economic Papers (HEP) dp-571, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    30. Gilles de Truchis & Elena Ivona Dumitrescu, 2019. "Narrow-band Weighted Nonlinear Least Squares Estimation of Unbalanced Cointegration Systems," Working Papers hal-04141871, HAL.
    31. 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.
    32. 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.
    33. 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".
    34. Afonso Goncalves da Silva & Peter Robinson, 2008. "Finite Sample Performance in Cointegration Analysis of Nonlinear Time Series with Long Memory," Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 268-297.
    35. Gilles de Truchis & Benjamin Keddad, 2013. "Analyzing Financial Integration in East Asia through Fractional Cointegration in Volatilities," Working Papers halshs-00862256, HAL.
    36. 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.
    37. 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.
    38. 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.
    39. 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.
    40. 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.
    41. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    42. Federico Carlini & Paolo Santucci de Magistris, 2013. "On the identification of fractionally cointegrated VAR models with the F(d) condition," CREATES Research Papers 2013-44, Department of Economics and Business Economics, Aarhus University.
    43. Nielsen, Morten Orregaard, 2005. "Noncontemporaneous cointegration and the importance of timing," Economics Letters, Elsevier, vol. 86(1), pages 113-119, January.
    44. Hualde, J. & Robinson, P.M., 2010. "Semiparametric inference in multivariate fractionally cointegrated systems," Journal of Econometrics, Elsevier, vol. 157(2), pages 492-511, August.
    45. Andersen, Torben G. & Varneskov, Rasmus T., 2021. "Consistent inference for predictive regressions in persistent economic systems," Journal of Econometrics, Elsevier, vol. 224(1), pages 215-244.
    46. 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.
    47. 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).
    48. Theoplasti Kolaiti & Mwasi Mboya & Philipp Sibbertsen, 2020. "Volatility Transmission across Financial Markets: A Semiparametric Analysis," JRFM, MDPI, vol. 13(8), pages 1-13, July.
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    50. Cipollini, Andrea & Lo Cascio, Iolanda & Muzzioli, Silvia, 2018. "Risk aversion connectedness in five European countries," Economic Modelling, Elsevier, vol. 71(C), pages 68-79.
    51. 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.
    52. 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.
    53. 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.
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  2. 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.
  3. 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. 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).

  4. 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.
  5. 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. 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.
    2. 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.

  6. 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. 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.
    3. 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.

  7. 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..

  8. 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.
  9. 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, 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.
    2. 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).
    3. 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.

  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. 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.
  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. 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.
    2. 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.
    3. Andreasen, Martin M & Meldrum, Andrew, 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.
    4. 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.
    5. Malik, Sheheryar & Meldrum, Andrew, 2014. "Evaluating the robustness of UK term structure decompositions using linear regression methods," Bank of England working papers 518, Bank of England.
    6. Martin M. Andreasen & Jens H. E. Christensen & Glenn D. Rudebusch, 2017. "Term Structure Analysis with Big Data," Working Paper Series 2017-21, Federal Reserve Bank of San Francisco.
    7. 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.).
    8. 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.
    9. 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.
    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. 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.
    12. Nyholm, Ken, 2016. "US-euro area term structure spillovers, implications for central banks," Working Paper Series 1980, European Central Bank.
    13. 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.
    14. Andreasen, Martin M & Meldrum, Andrew, 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.
    15. 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. 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.
  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. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.

  21. 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. 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.
    2. 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.
    3. 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).
    4. Bo Honoré & Thomas Jørgensen & Áureo de Paula, 2020. "The informativeness of estimation moments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 797-813, November.
    5. 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.
    6. 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).
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. Rafael Lalive & Pierpaolo Parrotta, 2016. "How Does Pension Eligibility Affect Labor Supply in Couples?," Post-Print hal-01512765, HAL.
    12. Selin, Håkan, 2011. "What happens to the husband’s retirement decision when the wife’s retirement incentives change?," Working Paper Series, Center for Fiscal Studies 2011:8, Uppsala University, Department of Economics.
    13. 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.
    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.
    15. 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.
    16. 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).
    17. 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.
    18. Kristensen, Nicolai, 2012. "Training and Retirement," IZA Discussion Papers 6301, Institute of Labor Economics (IZA).
    19. 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.
    20. Hernæs, Erik & Iskhakov, Fedor & Strøm, Steinar, 2006. "Early Retirement and Company Characteristics," Memorandum 16/2006, Oslo University, Department of Economics.
    21. Karakaya, Güngör, 2008. "Early cessation of activity in the labour market: impact of supply and demand factors," MPRA Paper 13390, University Library of Munich, Germany.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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.
    29. 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.
    30. 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.
    31. 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.
    32. 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.
    33. 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).

  22. 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. 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.
    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. 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.
    4. 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.
    5. 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.
    6. Carole Bernard & Gero Junike & Thibaut Lux & Steven Vanduffel, 2022. "Cost-efficient Payoffs under Model Ambiguity," Papers 2207.02948, arXiv.org, revised Aug 2023.
    7. 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.
    8. 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.
    9. 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.
    10. Peter Carr & Liuren Wu, 2004. "Variance Risk Premia," Finance 0409015, University Library of Munich, Germany.
    11. Ayla Ogus, 2005. "Pricing Of S&P 100 Index Options Based On Garch Volatility Estimates," Finance 0504005, University Library of Munich, Germany.
    12. 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.
    13. Adam Kolkiewicz & Ken Tan, 2004. "Volatility Risk For Regime-Switching Models," North American Actuarial Journal, Taylor & Francis Journals, vol. 8(4), pages 127-145.
    14. 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.
    15. Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian & Yoon, Seong-Min, 2021. "OPEC news and jumps in the oil market," Energy Economics, Elsevier, vol. 96(C).
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.
    21. 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.
    22. 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.
    23. 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.
    24. 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.
    25. 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.
    26. 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.
    27. 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.
    28. 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).

  23. 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. Wong, Linda, 2001. "Structural Estimation of Marriage Models," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A1-1, International Conferences on Panel Data.
    2. Rasmus Lentz & Jesper Bagger, 2009. "An Empirical Model of Wage Dispersion with Sorting," 2009 Meeting Papers 964, Society for Economic Dynamics.
    3. Tomi Kyyrä, 2007. "Estimating Equilibrium Search Models from Finnish Data," Finnish Economic Papers, Finnish Economic Association, vol. 20(2), pages 139-165, Autumn.
    4. Gérard J, Van den Berg & Aico Van Vuuren, 2003. "The effect of Search Frictions on Wages," Working Papers 2003-29, Center for Research in Economics and Statistics.
    5. 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.
    6. 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.
    7. Berg, Gerard J. van den, 1999. "Multiple equilibria and minimum wages in labor markets with informational frictions and heterogeneous production technologies," Serie Research Memoranda 0044, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    8. Susan Vroman & Monica Robayo-Abril & James Albrecht, 2016. "Public Sector Employment in an Equilibrium Search and Matching Model," 2016 Meeting Papers 311, Society for Economic Dynamics.
    9. 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.
    10. 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.
    11. Rasmus Lentz & Jesper Bagger, 2015. "An Empirical Model of Wage Dispersion with Sorting," 2015 Meeting Papers 1345, Society for Economic Dynamics.
    12. 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.
    13. 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.
    14. 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.
    15. Violante, Giovanni & Hornstein, Andreas, 2006. "Frictional Wage Dispersion in Search Models: A Quantitative Approach," CEPR Discussion Papers 5935, C.E.P.R. Discussion Papers.
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  27. 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. Koop, Gary, 2001. "Bayesian inference in models based on equilibrium search theory," Journal of Econometrics, Elsevier, vol. 102(2), pages 311-338, June.
    2. Tomi Kyyrä, 2007. "Estimating Equilibrium Search Models from Finnish Data," Finnish Economic Papers, Finnish Economic Association, vol. 20(2), pages 139-165, Autumn.
    3. John Bailey Jones & Eric French, 2002. "On the Distribution and Dynamics of Health Costs," Discussion Papers 02-03, University at Albany, SUNY, Department of Economics.
    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. 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.
    6. 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.
    7. Lene Kromann, 2009. "Does Employee Body Weight Affect Employers' Behavior?," Economics Working Papers 2009-04, Department of Economics and Business Economics, Aarhus University.
    8. Ortega, J., 2000. "Job Rotation as a Mechanism for Learning," Papers 00-04, Centre for Labour Market and Social Research, Danmark-.

  28. 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. Levinsohn, James & Pugatch, Todd, 2014. "Prospective analysis of a wage subsidy for Cape Town youth," Journal of Development Economics, Elsevier, vol. 108(C), pages 169-183.
    2. Bart Cockx & Muriel Dejemeppe & Andrey Launov & Bruno Van der Linden, 2017. "Imperfect Monitoring of Job Search: Structural Estimation and Policy Design," LIDAM Discussion Papers IRES 2017002, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    3. Tomi Kyyrä, 2007. "Estimating Equilibrium Search Models from Finnish Data," Finnish Economic Papers, Finnish Economic Association, vol. 20(2), pages 139-165, Autumn.
    4. 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.
    5. Gorgens, Tue, 2002. "Reservation wages and working hours for recently unemployed US women," Labour Economics, Elsevier, vol. 9(1), pages 93-123, February.
    6. Barbara Petrongolo & Christopher A. Pissarides, 2003. "Scale Effects in Markets with Search," CEP Discussion Papers dp0571, Centre for Economic Performance, LSE.
    7. 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.
    8. 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.
    9. 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.
    10. Manning, Alan & Thomas, Jonathan, 1997. "A simple test of the shirking model," LSE Research Online Documents on Economics 20300, London School of Economics and Political Science, LSE Library.
    11. 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.
    12. 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.
    13. Steven Stern & John Pepper, 2001. "Empirical Search Models," Virginia Economics Online Papers 383, University of Virginia, Department of Economics.

  29. 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. 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.
  2. 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.Sorry, no citations of chapters recorded.

Books

    Sorry, no citations of books recorded.
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