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Mark Trede

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Friedrich Geiecke & Mark Trede, 2010. "A Direct Test of Rational Bubbles," CQE Working Papers 1310, Center for Quantitative Economics (CQE), University of Muenster.

    Mentioned in:

    1. Are bubbles observable?
      by Economic Logician in Economic Logic on 2010-06-01 20:01:00
    2. Weekly Wisdom Roundup # 81 – The Smartest Linkfest On The Web
      by Miguel in Simoleon Sense on 2010-06-07 00:53:02

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Mark M. Trede, 1998. "The age profile of mobility measures: an application to earnings in West Germany," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(4), pages 397-409.

    Mentioned in:

    1. The age profile of mobility measures: an application to earnings in West Germany (Journal of Applied Econometrics 1998) in ReplicationWiki ()

Working papers

  1. Burkhard Heer & Mark Trede, 2020. "Age-Specific Entrepreneurship and PAYG Public Pensions in Germany," CQE Working Papers 9120, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Heer, Burkhard & Trede, Mark, 2023. "Age-specific entrepreneurship and PAYG: Public pensions in Germany," Journal of Macroeconomics, Elsevier, vol. 75(C).

  2. Christian Schluter & Mark Trede, 2019. "Size distributions reconsidered," Post-Print hal-01994353, HAL.

    Cited by:

    1. Christian Schluter, 2021. "On Zipf’s law and the bias of Zipf regressions," Post-Print hal-02880544, HAL.
    2. Arturo Ramos & Till Massing & Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno, 2023. "Composite distributions in the social sciences: A comparative empirical study of firms' sales distribution for France, Germany, Italy, Japan, South Korea, and Spain," Papers 2301.09438, arXiv.org.

  3. Martin T. Bohl & Nicole Branger & Mark Trede, 2019. "Measurement Errors in Index Trader Positions Data: Is the Price Pressure Hypothesis Still Invalid?," CQE Working Papers 8019, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Sania Wadud & Robert D. Durand & Marc Gronwald, 2021. "Connectedness between the Crude Oil Futures and Equity Markets during the Pre- and Post-Financialisation Eras," CESifo Working Paper Series 9202, CESifo.

  4. Martina Danielova Zaharieva & Mark Trede & Bernd Wilfling, 2017. "Bayesian semiparametric multivariate stochastic volatility with an application to international stock-market co-movements," CQE Working Papers 6217, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Audronė Virbickaitė & Hedibert F. Lopes, 2019. "Bayesian semiparametric Markov switching stochastic volatility model," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 35(4), pages 978-997, July.
    2. Audrone Virbickaite & Hedibert F. Lopes, 2018. "Bayesian Semi-Parametric Markov Switching Stochastic Volatility Model," DEA Working Papers 89, Universitat de les Illes Balears, Departament d'Economía Aplicada.

  5. Mawuli Segnon & Mark Trede, 2017. "Forecasting Market Risk of Portfolios: Copula-Markov Switching Multifractal Approach," CQE Working Papers 6617, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Xingyu Dai & Dongna Zhang & Chi Keung Marco Lau & Qunwei Wang, 2023. "Multiobjective portfolio optimization: Forecasting and evaluation under investment horizon heterogeneity," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2167-2196, December.
    2. Gaete, Michael & Herrera, Rodrigo, 2023. "Diversification benefits of commodities in portfolio allocation: A dynamic factor copula approach," Journal of Commodity Markets, Elsevier, vol. 32(C).
    3. Lin, Edward M.H. & Sun, Edward W. & Yu, Min-Teh, 2020. "Behavioral data-driven analysis with Bayesian method for risk management of financial services," International Journal of Production Economics, Elsevier, vol. 228(C).
    4. Wang, Yi & Sun, Qi & Zhang, Zilu & Chen, Liqing, 2022. "A risk measure of the stock market that is based on multifractality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    5. Rewat Khanthaporn, 2022. "Analysis of Nonlinear Comovement of Benchmark Thai Government Bond Yields," PIER Discussion Papers 183, Puey Ungphakorn Institute for Economic Research.
    6. Amaro, Raphael & Pinho, Carlos, 2022. "Energy commodities: A study on model selection for estimating Value-at-Risk," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 68, pages 5-27.

  6. Christian Schluter & Mark Trede, 2016. "Weak convergence to the Student and Laplace distributions," Post-Print hal-01447853, HAL.

    Cited by:

    1. Andreas Masuhr, 2017. "Volatility Transmission in Overlapping Trading Zones," CQE Working Papers 6717, Center for Quantitative Economics (CQE), University of Muenster.
    2. Christian Schluter & Mark Trede, 2019. "Size distributions reconsidered," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 695-710, July.
    3. Massing, Till & Puente-Ajovín, Miguel & Ramos, Arturo, 2020. "On the parametric description of log-growth rates of cities’ sizes of four European countries and the USA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    4. Gerd Christoph & Vladimir V. Ulyanov, 2023. "Second Order Chebyshev–Edgeworth-Type Approximations for Statistics Based on Random Size Samples," Mathematics, MDPI, vol. 11(8), pages 1-18, April.
    5. Korolev, Victor & Zeifman, Alexander, 2021. "Bounds for convergence rate in laws of large numbers for mixed Poisson random sums," Statistics & Probability Letters, Elsevier, vol. 168(C).
    6. Gerd Christoph & Vladimir V. Ulyanov, 2021. "Chebyshev–Edgeworth-Type Approximations for Statistics Based on Samples with Random Sizes," Mathematics, MDPI, vol. 9(7), pages 1-28, April.
    7. Luca Pratelli & Pietro Rigo, 2021. "Convergence in Total Variation of Random Sums," Mathematics, MDPI, vol. 9(2), pages 1-11, January.
    8. Gerd Christoph & Vladimir V. Ulyanov, 2020. "Second Order Expansions for High-Dimension Low-Sample-Size Data Statistics in Random Setting," Mathematics, MDPI, vol. 8(7), pages 1-28, July.
    9. Gabriela Oliveira & Wagner Barreto-Souza & Roger W. C. Silva, 2021. "Convergence and inference for mixed Poisson random sums," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 84(5), pages 751-777, July.
    10. Arturo Ramos & Till Massing & Atushi Ishikawa & Shouji Fujimoto & Takayuki Mizuno, 2023. "Composite distributions in the social sciences: A comparative empirical study of firms' sales distribution for France, Germany, Italy, Japan, South Korea, and Spain," Papers 2301.09438, arXiv.org.

  7. Sarah Meyer & Mark Trede, 2016. "Explosive earnings dynamics: Whoever has will be given more," CQE Working Papers 4716, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Jeanne Diesteldorf & Sarah Meyer & Jan Voelzke, 2016. "New evidence for explosive behavior of commodity prices," CQE Working Papers 5016, Center for Quantitative Economics (CQE), University of Muenster.

  8. Martin T. Bohl & Nicole Branger & Mark Trede, 2015. "The Case of Herding ist Stronger than You Think," CQE Working Papers 3715, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Vijay Kumar Shrotryia & Himanshi Kalra, 2021. "Analysis of Sectoral Herding through Quantile Regression: A Study of S&P BSE 500 Stocks," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 20(1), pages 1-16, June.

  9. Ludwig von Auer & Mark Trede, 2014. "Markets with Technological Progress: Pricing Quality, and Novelty," CQE Working Papers 3014, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Ludwig von Auer & Mark Trede, 2014. "Markets with Technological Progress: Pricing, Quality, and Novelty," Research Papers in Economics 2014-05, University of Trier, Department of Economics.

  10. Christian Schluter & Mark Trede, 2013. "Gibrat, Zipf, Fisher and Tippett: City Size and Growth Distributions Reconsidered," CQE Working Papers 2713, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Puente-Ajovin, Miguel & Ramos, Arturo, 2014. "On the parametric description of the French, German, Italian and Spanish city size distributions," MPRA Paper 55285, University Library of Munich, Germany.
    2. Massing, Till & Puente-Ajovín, Miguel & Ramos, Arturo, 2020. "On the parametric description of log-growth rates of cities’ sizes of four European countries and the USA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    3. Puente-Ajovin, Miguel & Ramos, Arturo, 2015. "An improvement over the normal distribution for log-growth rates of city sizes: Empirical evidence for France, Germany, Italy and Spain," MPRA Paper 67471, University Library of Munich, Germany.
    4. Arturo Ramos, 2017. "Are the log-growth rates of city sizes distributed normally? Empirical evidence for the USA," Empirical Economics, Springer, vol. 53(3), pages 1109-1123, November.
    5. Ramos, Arturo, 2015. "Are the log-growth rates of city sizes normally distributed? Empirical evidence for the US," MPRA Paper 65584, University Library of Munich, Germany.
    6. Ramos, Arturo & Sanz-Gracia, Fernando, 2015. "US city size distribution revisited: Theory and empirical evidence," MPRA Paper 64051, University Library of Munich, Germany.

  11. Marc Lammerding & Patrick Stephan & Mark Trede & Bernd Wilfling, 2012. "Speculative bubbles in recent oil price dynamics: Evidence from a Bayesian Markov-switching state-space approach," CQE Working Papers 2312, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Su, Chi-Wei & Wang, Kai-Hua & Chang, Hsu-Ling & Dumitrescu–Peculea, Adelina, 2017. "Do iron ore price bubbles occur?," Resources Policy, Elsevier, vol. 53(C), pages 340-346.
    2. Tsvetanov, Daniel & Coakley, Jerry & Kellard, Neil, 2016. "Bubbling over! The behaviour of oil futures along the yield curve," Journal of Empirical Finance, Elsevier, vol. 38(PB), pages 516-533.
    3. Mehmet Balcilar & Nico Katzke & Rangan Gupta, 2015. "Identifying Periods of US Housing Market Explosivity," Working Papers 201544, University of Pretoria, Department of Economics.
    4. Sofiane Aboura & Julien Chevallier, 2016. "Spikes and crashes in the oil market," Post-Print halshs-01348711, HAL.
    5. Taisei KAIZOJI & Matthias LEISS & Alexander I. SAICHEV & Didier SORNETTE, 2015. "Super-Exponential Endogenous Bubbles in an Equilibrium Model of Fundamentalist and Chartist Traders," Swiss Finance Institute Research Paper Series 15-07, Swiss Finance Institute.
    6. Márquez-Velázquez, Alejandro, 2019. "Developing countries' political cycles and the resource curse: Venezuela's case," Discussion Papers 2019/14, Free University Berlin, School of Business & Economics.
    7. Ekaterini Panopoulou & Theologos Pantelidis, 2014. "Speculative behaviour and oil price predictability," Discussion Paper Series 2014_09, Department of Economics, University of Macedonia, revised Dec 2014.
    8. Zhang, Yue-Jun & Yao, Ting, 2016. "Interpreting the movement of oil prices: Driven by fundamentals or bubbles?," Economic Modelling, Elsevier, vol. 55(C), pages 226-240.
    9. Almansour, Abdullah, 2016. "Convenience yield in commodity price modeling: A regime switching approach," Energy Economics, Elsevier, vol. 53(C), pages 238-247.
    10. Fantazzini, Dean, 2016. "The oil price crash in 2014/15: Was there a (negative) financial bubble?," Energy Policy, Elsevier, vol. 96(C), pages 383-396.
    11. Caspi, Itamar & Katzke, Nico & Gupta, Rangan, 2018. "Date stamping historical periods of oil price explosivity: 1876–2014," Energy Economics, Elsevier, vol. 70(C), pages 582-587.
    12. Su, Chi-Wei & Li, Zheng-Zheng & Tao, Ran & Si, Deng-Kui, 2018. "Testing for multiple bubbles in bitcoin markets: A generalized sup ADF test," Japan and the World Economy, Elsevier, vol. 46(C), pages 56-63.
    13. Umar, Muhammad & Su, Chi-Wei & Rizvi, Syed Kumail Abbas & Lobonţ, Oana-Ramona, 2021. "Driven by fundamentals or exploded by emotions: Detecting bubbles in oil prices," Energy, Elsevier, vol. 231(C).
    14. Krzysztof Drachal, 2018. "Determining Time-Varying Drivers of Spot Oil Price in a Dynamic Model Averaging Framework," Energies, MDPI, vol. 11(5), pages 1-24, May.
    15. Chiarucci, Riccardo & Loffredo, Maria I. & Ruzzenenti, Franco, 2017. "Evidences for a structural change in the oil market before a financial crisis: The flat horizon effect," Research in International Business and Finance, Elsevier, vol. 42(C), pages 912-921.
    16. Li Jingjing & Tang Ling & Li Ling, 2020. "The Co-Movements Between Crude Oil Price and Internet Concerns: Causality Analysis in the Frequency Domain," Journal of Systems Science and Information, De Gruyter, vol. 8(3), pages 224-239, June.
    17. Ghassan, Hassan Belkacem & AlHajhoj, Hassan Rafdan, 2016. "Long run dynamic volatilities between OPEC and non-OPEC crude oil prices," Applied Energy, Elsevier, vol. 169(C), pages 384-394.
    18. Mehmet Balcilar & Rangan Gupta & Charl Jooste & Omid Ranjbar, 2015. "Characterising the South African Business Cycle: Is GDP Difference-Stationary or Trend-Stationary in a Markov-Switching Setup?," Working Papers 201529, University of Pretoria, Department of Economics.
    19. Bettendorf, Timo & Chen, Wenjuan, 2013. "Are there bubbles in the Sterling-dollar exchange rate? New evidence from sequential ADF tests," Economics Letters, Elsevier, vol. 120(2), pages 350-353.
    20. Chan, Joshua C.C. & Santi, Caterina, 2021. "Speculative bubbles in present-value models: A Bayesian Markov-switching state space approach," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    21. Khalid Khan & Chi-Wei Su & Adnan Khurshid & Muhammad Umar, 2022. "Are there bubbles in the vanilla price?," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 10(1), pages 1-16, December.
    22. Su, Chi-Wei & Li, Zheng-Zheng & Chang, Hsu-Ling & Lobonţ, Oana-Ramona, 2017. "When Will Occur the Crude Oil Bubbles?," Energy Policy, Elsevier, vol. 102(C), pages 1-6.
    23. Sharma, Shahil & Escobari, Diego, 2017. "Identifying Price Bubble Periods in the Energy Sector," MPRA Paper 83355, University Library of Munich, Germany.
    24. Balcilar, Mehmet & Katzke, Nico & Gupta, Rangan, 2017. "Date-stamping US housing market explosivity," Economics Discussion Papers 2017-44, Kiel Institute for the World Economy (IfW Kiel).
    25. Beckmann, Joscha & Czudaj, Robert, 2013. "Is there a homogeneous causality pattern between oil prices and currencies of oil importers and exporters?," Energy Economics, Elsevier, vol. 40(C), pages 665-678.
    26. Zhang, Dayong & Wang, Tiantian & Shi, Xunpeng & Liu, Jia, 2018. "Is hub-based pricing a better choice than oil indexation for natural gas? Evidence from a multiple bubble test," Energy Economics, Elsevier, vol. 76(C), pages 495-503.
    27. Figuerola-Ferretti, Isabel & McCrorie, J. Roderick & Paraskevopoulos, Ioannis, 2020. "Mild explosivity in recent crude oil prices," Energy Economics, Elsevier, vol. 87(C).
    28. Kyrtsou, Catherine & Mikropoulou, Christina & Papana, Angeliki, 2016. "Does the S&P500 index lead the crude oil dynamics? A complexity-based approach," Energy Economics, Elsevier, vol. 56(C), pages 239-246.
    29. Zhiwei Shen & Matthias Ritter, 2015. "Forecasting volatility of wind power production," SFB 649 Discussion Papers SFB649DP2015-026, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    30. Sabri Boubaker & Zhenya Liu & Yaosong Zhan, 2022. "Risk management for crude oil futures: an optimal stopping-timing approach," Annals of Operations Research, Springer, vol. 313(1), pages 9-27, June.
    31. Ahmed, Mumtaz & Bashir, Uzma & Ullah, Irfan, 2021. "Testing for explosivity in US-Pak Exchange Rate via Sequential ADF Procedures," MPRA Paper 109607, University Library of Munich, Germany.
    32. Ma, Yu & Zhang, Yang & Ji, Qiang, 2021. "Do oil shocks affect Chinese bank risk?," Energy Economics, Elsevier, vol. 96(C).
    33. Itamar Caspi & Nico Katzke & Rangan Gupta, 2014. "Date stamping historical oil price bubbles: 1876 - 2014," Working Papers 20/2014, Stellenbosch University, Department of Economics.
    34. Li, Yan & Chevallier, Julien & Wei, Yigang & Li, Jing, 2020. "Identifying price bubbles in the US, European and Asian natural gas market: Evidence from a GSADF test approach," Energy Economics, Elsevier, vol. 87(C).
    35. Drachal, Krzysztof, 2016. "Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time?," Energy Economics, Elsevier, vol. 60(C), pages 35-46.
    36. Holtemöller Oliver, 2013. "Explosive Preisentwicklung und spekulative Blasen auf Rohstoffmärkten / Explosive behavior and speculative bubbles on commodity markets," ORDO. Jahrbuch für die Ordnung von Wirtschaft und Gesellschaft, De Gruyter, vol. 64(1), pages 405-420, January.
    37. Gharib, Cheima & Mefteh-Wali, Salma & Serret, Vanessa & Ben Jabeur, Sami, 2021. "Impact of COVID-19 pandemic on crude oil prices: Evidence from Econophysics approach," Resources Policy, Elsevier, vol. 74(C).
    38. Chai, Jian & Xing, Li-Min & Zhou, Xiao-Yang & Zhang, Zhe George & Li, Jie-Xun, 2018. "Forecasting the WTI crude oil price by a hybrid-refined method," Energy Economics, Elsevier, vol. 71(C), pages 114-127.
    39. Ayben Koy, 2022. "Regime Switching Mechanism during Energy Futures Price Bubbles," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 373-382.
    40. 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.
    41. Robert Czudaj, 2019. "Crude oil futures trading and uncertainty," Chemnitz Economic Papers 027, Department of Economics, Chemnitz University of Technology, revised Jan 2019.
    42. Hong, Yanran & Wang, Lu & Liang, Chao & Umar, Muhammad, 2022. "Impact of financial instability on international crude oil volatility: New sight from a regime-switching framework," Resources Policy, Elsevier, vol. 77(C).
    43. Oladosu, Gbadebo, 2022. "Bubbles in US gasoline prices: Assessing the role of hurricanes and anti–price gouging laws," Journal of Commodity Markets, Elsevier, vol. 27(C).
    44. Ajmi, Ahdi Noomen & Hammoudeh, Shawkat & Mokni, Khaled, 2021. "Detection of bubbles in WTI, brent, and Dubai oil prices: A novel double recursive algorithm," Resources Policy, Elsevier, vol. 70(C).
    45. Kuosmanen, Petri & Nabulsi, Nasib & Vataja, Juuso, 2015. "Financial variables and economic activity in the Nordic countries," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 368-379.
    46. Christos Floros & Georgios Galyfianakis, 2020. "Bubbles in Crude Oil and Commodity Energy Index: New Evidence," Energies, MDPI, vol. 13(24), pages 1-11, December.
    47. Jiaying Peng & Zhenghui Li & Benjamin M. Drakeford, 2020. "Dynamic Characteristics of Crude Oil Price Fluctuation—From the Perspective of Crude Oil Price Influence Mechanism," Energies, MDPI, vol. 13(17), pages 1-19, August.
    48. Sun, Zesheng & Wang, Yaoqing & Zhou, Xu & Yang, Lunan, 2019. "The roundabout from interest rates to commodity prices in China: The role of money flow," Resources Policy, Elsevier, vol. 61(C), pages 627-642.
    49. Yue-Jun Zhang & Ting Yao & Zi-Yi Wang, 2015. "The bubble process of international crude oil futures prices: empirical evidence from the STAR model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 109-125.
    50. Chul-Yong Lee & Sung-Yoon Huh, 2017. "Forecasting Long-Term Crude Oil Prices Using a Bayesian Model with Informative Priors," Sustainability, MDPI, vol. 9(2), pages 1-15, January.
    51. Efthymios G. Pavlidis & Ivan Paya & David A. Peel, 2018. "Using Market Expectations to Test for Speculative Bubbles in the Crude Oil Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(5), pages 833-856, August.
    52. Khan, Khalid & Su, Chi-Wei & Umar, Muhammad & Yue, Xiao-Guang, 2021. "Do crude oil price bubbles occur?," Resources Policy, Elsevier, vol. 71(C).
    53. Jinyu Chen & Xuehong Zhu, 2021. "The Effects of Different Types of Oil Price Shocks on Industrial PPI: Evidence from 36 Sub-industries in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(12), pages 3411-3434, September.
    54. Karagiannis, Stelios & Panagopoulos, Yannis & Vlamis, Prodromos, 2015. "Are unleaded gasoline and diesel price adjustments symmetric? A comparison of the four largest EU retail fuel markets," Economic Modelling, Elsevier, vol. 48(C), pages 281-291.
    55. Chen, Mei-Ping & Lin, Yu-Hui & Tseng, Chun-Yao & Chen, Wen-Yi, 2015. "Bubbles in health care: Evidence from the U.S., U.K., and German stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 193-205.
    56. Alola, Andrew A. & Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2022. "Outlook of oil prices and volatility from 1970 to 2040 through global energy mix-security from production to reserves: A nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 79(C).
    57. Zhang, Yue-Jun & Wang, Jing, 2015. "Exploring the WTI crude oil price bubble process using the Markov regime switching model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 377-387.
    58. Benedikt Rotermann & Bernd Wilfling, 2015. "Estimating rational stock-market bubbles with sequential Monte Carlo methods," CQE Working Papers 4015, Center for Quantitative Economics (CQE), University of Muenster.
    59. Tolhurst, Tor N., 2018. "A Model-Free Bubble Detection Method: Application to the World Market for Superstar Wines," 2018 Annual Meeting, August 5-7, Washington, D.C. 274387, Agricultural and Applied Economics Association.
    60. Haykir, Ozkan & Yagli, Ibrahim & Aktekin Gok, Emine Dilara & Budak, Hilal, 2022. "Oil price explosivity and stock return: Do sector and firm size matter?," Resources Policy, Elsevier, vol. 78(C).
    61. Wang, Kai-Hua & Su, Chi-Wei & Lobonţ, Oana-Ramona & Moldovan, Nicoleta-Claudia, 2020. "Chinese renewable energy industries’ boom and recession: Evidence from bubble detection procedure," Energy Policy, Elsevier, vol. 138(C).
    62. Wirl, Franz, 2015. "Output adjusting cartels facing dynamic, convex demand under uncertainty: The case of OPEC," Economic Modelling, Elsevier, vol. 44(C), pages 307-316.
    63. Theodosios Perifanis, 2019. "Detecting West Texas Intermediate (WTI) Prices’ Bubble Periods," Energies, MDPI, vol. 12(14), pages 1-16, July.
    64. Liu, Renren & Chen, Jianzhong & Wen, Fenghua, 2021. "The nonlinear effect of oil price shocks on financial stress: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    65. Ehsan Ahmed & J. Rosser & Jamshed Uppal, 2014. "Are there nonlinear speculative bubbles in commodities prices?," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 36(3), pages 415-438.

  12. Christian Schluter & Mark Trede, 2011. "Estimating Continuous-Time Income Models," CQE Working Papers 1811, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Babai, M. Zied & Ali, Mohammad M. & Nikolopoulos, Konstantinos, 2012. "Impact of temporal aggregation on stock control performance of intermittent demand estimators: Empirical analysis," Omega, Elsevier, vol. 40(6), pages 713-721.

  13. Ludwig von Auer & Mark Trede, 2010. "The Dynamics of Brand Equity: A Hedonic Regression Approach to the Laser Printer Market," CQE Working Papers 1210, Center for Quantitative Economics (CQE), University of Muenster.

    Cited by:

    1. Ludwig von Auer & Mark Trede, 2014. "Markets with Technological Progress: Pricing, Quality, and Novelty," Research Papers in Economics 2014-05, University of Trier, Department of Economics.
    2. Robert J. Hill & Alicia N. Rambaldi & Michael Scholz, 2018. "Higher Frequency Hedonic Property Price Indices: A State Space Approach," Graz Economics Papers 2018-04, University of Graz, Department of Economics.

  14. Wilfling, Bernd & Trede, Mark, 2004. "Estimating Exchange Rate Dynamics with Diffusion Processes: An Application to Greek EMU Data," HWWA Discussion Papers 267, Hamburg Institute of International Economics (HWWA).

    Cited by:

    1. Zhao, Shoujiang & Zhou, Yanping, 2013. "Sharp large deviations for the log-likelihood ratio of an α-Brownian bridge," Statistics & Probability Letters, Elsevier, vol. 83(12), pages 2750-2758.
    2. Jeff Hamrick & Murad Taqqu, 2009. "Testing diffusion processes for non-stationarity," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 69(3), pages 509-551, July.
    3. Görgens, Maik & Thulin, Måns, 2014. "Bias-correction of the maximum likelihood estimator for the α-Brownian bridge," Statistics & Probability Letters, Elsevier, vol. 93(C), pages 78-86.
    4. Bernardo D’Auria & Alessandro Ferriero, 2020. "A Class of Itô Diffusions with Known Terminal Value and Specified Optimal Barrier," Mathematics, MDPI, vol. 8(1), pages 1-14, January.
    5. Zhao, Shoujiang & Liu, Qiaojing & Chen, Ting, 2018. "On the large deviation principle for maximum likelihood estimator of α-Brownian bridge," Statistics & Probability Letters, Elsevier, vol. 138(C), pages 143-150.

  15. Trede, Mark, 1997. "Making mobility visible: A graphical device," Discussion Papers in Econometrics and Statistics 2/97, University of Cologne, Institute of Econometrics and Statistics.

    Cited by:

    1. Elena Bárcena & Olga Cantó, 2018. "A simple subgroup decomposable measure of downward (and upward) income mobility," Working Papers 472, ECINEQ, Society for the Study of Economic Inequality.
    2. Dyckerhoff, Rainer & Holz, Hartmut & Mosler, Karl, 1998. "Checking for orthant orderings between discrete multivariate distributions: An algorithm," Discussion Papers in Econometrics and Statistics 1/98, University of Cologne, Institute of Econometrics and Statistics.
    3. Markus Jantti & Stephen P. Jenkins, 2014. "Income Mobility," Working Papers 319, ECINEQ, Society for the Study of Economic Inequality.
    4. Néstor Duch-Brown & José García-Quevedo & Daniel Montolio, 2011. "The link between public support and private R&D effort: What is the optimal subsidy?," Working Papers XREAP2011-09, Xarxa de Referència en Economia Aplicada (XREAP), revised Jun 2011.
    5. Chowdhury, Biplob & Jeyasreedharan, Nagaratnam & Dungey, Mardi, 2017. "Quantile relationships between standard, diffusion and jump betas across Japanese banks," Working Papers 2017-10, University of Tasmania, Tasmanian School of Business and Economics.
    6. Formby, John P. & Smith, W. James & Zheng, Buhong, 2004. "Mobility measurement, transition matrices and statistical inference," Journal of Econometrics, Elsevier, vol. 120(1), pages 181-205, May.
    7. Yi Chen & Frank A Cowell, 2013. "Mobility in China," STICERD - Public Economics Programme Discussion Papers 18, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    8. Georgios Fotopoulos, 2005. "Twin - Peaks in E.U. Regional Productivity Dynamics: a nonparametric analysis," Papers on Entrepreneurship, Growth and Public Policy 2005-28, Max Planck Institute of Economics, Entrepreneurship, Growth and Public Policy Group.
    9. DEMUYNCK, Thomas & VAN DE GAER, Dirk, 2012. "Inequality adjusted income growth," LIDAM Reprints CORE 2505, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    10. VAN KERM Philippe, 2006. "Comparisons of income mobility profiles," IRISS Working Paper Series 2006-03, IRISS at CEPS/INSTEAD.
    11. Meligkotsidou, Loukia & Vrontos, Ioannis D. & Vrontos, Spyridon D., 2009. "Quantile regression analysis of hedge fund strategies," Journal of Empirical Finance, Elsevier, vol. 16(2), pages 264-279, March.
    12. Van Kerm, Philippe, 2009. "Income mobility profiles," Economics Letters, Elsevier, vol. 102(2), pages 93-95, February.
    13. Donal O'Neill & Olive Sweetman & Dirk van de gaer, 1999. "Equality of Opportunity and Kernel Density Estimation: An Application to Intergenerational Mobility," Economics Department Working Paper Series n950999, Department of Economics, National University of Ireland - Maynooth.
    14. Creedy, John & Gemmell, Norman, 2017. "Illustrating Income Mobility: Two New Measures," Working Paper Series 20282, Victoria University of Wellington, Chair in Public Finance.
    15. Clemens Knoppe, 2018. "Wage Income Distribution and Mobility in Malta," CBM Working Papers WP/06/2018, Central Bank of Malta.
    16. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    17. Fotopoulos, Georgios, 2006. "Nonparametric analysis of regional income dynamics: The case of Greece," Economics Letters, Elsevier, vol. 91(3), pages 450-457, June.
    18. D. O’Neill & O. Sweetman & D. Van De Gaer, 2002. "Consequences of Specification Error for Distributional Analysis With an Application to Intergenerational Mobility," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 02/156, Ghent University, Faculty of Economics and Business Administration.

  16. Schmid, Friedrich & Trede, Mark, 1996. "Nonparametric inference for second order stochastic dominance," Discussion Papers in Econometrics and Statistics 2/96, University of Cologne, Institute of Econometrics and Statistics.

    Cited by:

    1. Schmid, Friedrich & Trede, Mark, 1998. "A Kolmogorov-type test for second-order stochastic dominance," Statistics & Probability Letters, Elsevier, vol. 37(2), pages 183-193, February.

  17. Trede, Mark M., 1995. "The age-profile of earnings mobility: Statistical inference for conditional kernel density estimates," Discussion Papers in Econometrics and Statistics 1/95, University of Cologne, Institute of Econometrics and Statistics.

    Cited by:

    1. Ayala, Luis & Sastre, Mercedes, 2002. "What determines income mobility differences across the European Union?," ISER Working Paper Series 2002-27, Institute for Social and Economic Research.

  18. Trede, Mark M., 1994. "Statistical inference in mobility measurement: Sex differences in earnings mobility," Discussion Papers in Econometrics and Statistics 4/94, University of Cologne, Institute of Econometrics and Statistics.

    Cited by:

    1. Aebi, Robert & Neusser, Klaus & Steiner, Peter, 1999. "Evaluating Theories of the Income Dynamics: A Probabilistic Approach," Economics Series 61, Institute for Advanced Studies.
    2. Christian Schluter, 1997. "On the Non-Stationarity of German Income Mobility (and some observations on poverty dynamics)," STICERD - Distributional Analysis Research Programme Papers 30, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    3. Schluter, Christian, 1998. "Statistical inference with mobility indices," Economics Letters, Elsevier, vol. 59(2), pages 157-162, May.

Articles

  1. Martina Danielova Zaharieva & Mark Trede & Bernd Wilfling, 2020. "Bayesian semiparametric multivariate stochastic volatility with application," Econometric Reviews, Taylor & Francis Journals, vol. 39(9), pages 947-970, October.

    Cited by:

    1. Donelli, Nicola & Peluso, Stefano & Mira, Antonietta, 2021. "A Bayesian semiparametric vector Multiplicative Error Model," Computational Statistics & Data Analysis, Elsevier, vol. 161(C).
    2. Bjoern Schulte-Tillmann & Mawuli Segnon & Timo Wiedemann, 2023. "A comparison of high-frequency realized variance measures: Duration- vs. return-based approaches," CQE Working Papers 10523, Center for Quantitative Economics (CQE), University of Muenster.
    3. Bjoern Schulte-Tillman & Mawuli Segnon & Bernd Wilfling, 2022. "Financial-market volatility prediction with multiplicative Markov-switching MIDAS components," CQE Working Papers 9922, Center for Quantitative Economics (CQE), University of Muenster.
    4. Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
    5. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.

  2. Trede, Mark, 2020. "Maximum likelihood estimation of high-dimensional Student-t copulas," Statistics & Probability Letters, Elsevier, vol. 159(C).

    Cited by:

    1. Nurudeen A. Adegoke & Andrew Punnett & Marti J. Anderson, 2022. "Estimation of Multivariate Dependence Structures via Constrained Maximum Likelihood," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(2), pages 240-260, June.

  3. Christian Schluter & Mark Trede, 2019. "Size distributions reconsidered," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 695-710, July.
    See citations under working paper version above.
  4. Ludwig von Auer & Mark Trede, 2018. "Markets with technological progress: pricing, quality, and novelty," Journal of Economics, Springer, vol. 124(2), pages 121-137, June.
    See citations under working paper version above.
  5. Mawuli Segnon & Mark Trede, 2018. "Forecasting market risk of portfolios: copula-Markov switching multifractal approach," The European Journal of Finance, Taylor & Francis Journals, vol. 24(14), pages 1123-1143, September.
    See citations under working paper version above.
  6. Chirag Shekhar & Mark Trede, 2017. "Portfolio Optimization Using Multivariate t-Copulas with Conditionally Skewed Margins," Review of Economics & Finance, Better Advances Press, Canada, vol. 9, pages 29-41, August.

    Cited by:

    1. Vahidin Jeleskovic & Claudio Latini & Zahid I. Younas & Mamdouh A. S. Al-Faryan, 2023. "Optimization of portfolios with cryptocurrencies: Markowitz and GARCH-Copula model approach," Papers 2401.00507, arXiv.org.
    2. Le, Tuan Anh & Dao, Thi Thanh Binh, 2021. "Portfolio optimization under mean-CVaR simulation with copulas on the Vietnamese stock exchange," MPRA Paper 111105, University Library of Munich, Germany.

  7. Bohl, Martin T. & Branger, Nicole & Trede, Mark, 2017. "The case for herding is stronger than you think," Journal of Banking & Finance, Elsevier, vol. 85(C), pages 30-40.

    Cited by:

    1. Mehdi Darban & Minsun Kim & Ahmet Koksal, 2021. "When the technology abandonment intentions remitted: the case of herd behavior," Information Technology and Management, Springer, vol. 22(3), pages 163-178, September.
    2. Park, Beum-Jo & Kim, Myung-Joong, 2017. "A Dynamic Measure of Intentional Herd Behavior in Financial Markets," MPRA Paper 82025, University Library of Munich, Germany.
    3. Lord Mensah & Charles Andoh & Saint Kuttu & Eric Boachie-Yiadom, 2023. "The level of African forex markets integration and Eurobond issue," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 232-250, March.
    4. Evzen Kocenda & Michala Moravcova, 2017. "Exchange Rate Co-movements, Hedging and Volatility Spillovers in New EU Forex Markets," Working Papers IES 2017/27, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2017.
    5. Demirer, Rıza & Leggio, Karyl B. & Lien, Donald, 2019. "Herding and flash events: Evidence from the 2010 Flash Crash," Finance Research Letters, Elsevier, vol. 31(C).
    6. Zhang, Yaojie & He, Mengxi & Wen, Danyan & Wang, Yudong, 2023. "Forecasting crude oil price returns: Can nonlinearity help?," Energy, Elsevier, vol. 262(PB).
    7. S S S Kumar, 2022. "Institutional Herding: Causality and Persistence," IIM Kozhikode Society & Management Review, , vol. 11(2), pages 183-194, July.
    8. Junkai Wang & Robert Hudson, 2024. "Better ways to test for herding," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 790-818, January.
    9. Puput Tri Komalasari & Marwan Asri & Bernardinus M. Purwanto & Bowo Setiyono, 2022. "Herding behaviour in the capital market: What do we know and what is next?," Management Review Quarterly, Springer, vol. 72(3), pages 745-787, September.
    10. Stavroyiannis, Stavros & Babalos, Vassilios & Bekiros, Stelios & Lahmiri, Salim, 2019. "Is anti-herding behavior spurious?," Finance Research Letters, Elsevier, vol. 29(C), pages 379-383.
    11. Stavroyiannis, Stavros & Babalos, Vassilios, 2019. "Herding behavior in cryptocurrencies revisited: Novel evidence from a TVP model," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 57-63.
    12. Rubesam, Alexandre & Raimundo, Gerson de Souza, 2022. "Covid-19 and herding in global equity markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    13. Filip, Angela Maria & Pochea, Maria Miruna, 2023. "Intentional and spurious herding behavior: A sentiment driven analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    14. Santi, Caterina & Zwinkels, Remco C.J., 2023. "Exploring style herding by mutual funds," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    15. Ali, Sara & Badshah, Ihsan & Demirer, Riza, 2023. "Anti-herding by hedge funds and its implications for expected returns," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 31-48.
    16. Zhenxi Chen & Jing Ru, 2021. "Herding and capitalization size in the Chinese stock market: a micro-foundation evidence," Empirical Economics, Springer, vol. 60(4), pages 1895-1911, April.

  8. Schüssler, Rainer & Trede, Mark, 2016. "Constructing minimum-width confidence bands," Economics Letters, Elsevier, vol. 145(C), pages 182-185.

    Cited by:

    1. Lütkepohl, Helmut & Staszewska-Bystrova, Anna & Winker, Peter, 2020. "Constructing joint confidence bands for impulse response functions of VAR models – A review," Econometrics and Statistics, Elsevier, vol. 13(C), pages 69-83.

  9. Lammerding, Marc & Stephan, Patrick & Trede, Mark & Wilfling, Bernd, 2013. "Speculative bubbles in recent oil price dynamics: Evidence from a Bayesian Markov-switching state-space approach," Energy Economics, Elsevier, vol. 36(C), pages 491-502.
    See citations under working paper version above.
  10. Mark Trede & Cornelia Savu, 2013. "Do stock returns have an Archimedean copula?," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(8), pages 1764-1778, August.

    Cited by:

    1. Rebecca M. Baker & Tahani Coolen-Maturi & Frank P. A. Coolen, 2017. "Nonparametric predictive inference for stock returns," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(8), pages 1333-1349, June.
    2. Nguyen-Huy, Thong & Deo, Ravinesh C. & An-Vo, Duc-Anh & Mushtaq, Shahbaz & Khan, Shahjahan, 2017. "Copula-statistical precipitation forecasting model in Australia’s agro-ecological zones," Agricultural Water Management, Elsevier, vol. 191(C), pages 153-172.

  11. L von Auer & M Trede, 2012. "The dynamics of brand equity: a hedonic regression approach to the laser printer market," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(10), pages 1351-1362, October.
    See citations under working paper version above.
  12. Thorsten Heimann & Mark Trede, 2011. "A Continuous-Time Model of Income Dynamics," Journal of Income Distribution, Ad libros publications inc., vol. 20(1), pages 104-116, March.

    Cited by:

    1. Wei-Bin ZHANG, 2014. "Gender Discrimination, Education and Economic Growth in a Generalized Uzawa-Lucas Two-Sector Model," Timisoara Journal of Economics and Business, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 7(1), pages 1-34.
    2. Wei-Bin Zhang, 2016. "Gender-Differentiated Human Capital And Time Distributions In A Generalized Heckscher-Ohlin Model With Endogenous Physical Capital," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 8(2), pages 112-132, June.

  13. David Sondermann & Mark Trede & Bernd Wilfling, 2011. "Estimating the degree of interventionist policies in the run-up to EMU," Applied Economics, Taylor & Francis Journals, vol. 43(2), pages 207-218.

    Cited by:

    1. Gerrit Reher & Bernd Wilfling, 2010. "An exact pricing formula for European call options on zero-coupon bonds in the run-up to a currency union," CQE Working Papers 1010, Center for Quantitative Economics (CQE), University of Muenster.
    2. Reher, Gerrit & Wilfling, Bernd, 2014. "The valuation of European call options on zero-coupon bonds in the run-up to a fixed exchange-rate regime," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 483-496.
    3. Görgens, Maik & Thulin, Måns, 2014. "Bias-correction of the maximum likelihood estimator for the α-Brownian bridge," Statistics & Probability Letters, Elsevier, vol. 93(C), pages 78-86.
    4. Bernardo D’Auria & Alessandro Ferriero, 2020. "A Class of Itô Diffusions with Known Terminal Value and Specified Optimal Barrier," Mathematics, MDPI, vol. 8(1), pages 1-14, January.
    5. Zhao, Shoujiang & Liu, Qiaojing & Chen, Ting, 2018. "On the large deviation principle for maximum likelihood estimator of α-Brownian bridge," Statistics & Probability Letters, Elsevier, vol. 138(C), pages 143-150.
    6. Naszodi, Anna, 2011. "Exchange rate dynamics under state-contingent stochastic process switching," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 896-908, September.

  14. Cornelia Savu & Mark Trede, 2010. "Hierarchies of Archimedean copulas," Quantitative Finance, Taylor & Francis Journals, vol. 10(3), pages 295-304.

    Cited by:

    1. Okhrin, Ostap & Ristig, Alexander, 2014. "Hierarchical Archimedean Copulae: The HAC Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i04).
    2. Göran Kauermann & Christian Schellhase & David Ruppert, 2013. "Flexible Copula Density Estimation with Penalized Hierarchical B-splines," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(4), pages 685-705, December.
    3. Olusola O. Ayantobo & Yi Li & Songbai Song, 2019. "Multivariate Drought Frequency Analysis using Four-Variate Symmetric and Asymmetric Archimedean Copula Functions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 103-127, January.
    4. David Blake & Marco Morales & Hong Li & Anja Waegenaere & Bertrand Melenberg, 2017. "Special Edition: Longevity 10 – The Tenth International Longevity Risk and Capital Markets Solutions Conference," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(S1), pages 459-475, April.
    5. Fengler, Matthias R. & Okhrin, Ostap, 2016. "Managing risk with a realized copula parameter," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 131-152.
    6. Göran Kauermann & Renate Meyer, 2014. "Penalized marginal likelihood estimation of finite mixtures of Archimedean copulas," Computational Statistics, Springer, vol. 29(1), pages 283-306, February.
    7. GRIGORIADIS, Vasilis & EMMANOUILIDES, Christos & FOUSEKIS, Panos, 2016. "The Integration Of Pigmeat Markets In The Eu. Evidence From A Regular Mixed Vine Copula," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 19(1), pages 1-10, March.
    8. Yang Zhao & Charalampos Stasinakis & Georgios Sermpinis & Filipa Da Silva Fernandes, 2019. "Revisiting Fama–French factors' predictability with Bayesian modelling and copula‐based portfolio optimization," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1443-1463, October.
    9. Andreas Masuhr, 2017. "Volatility Transmission in Overlapping Trading Zones," CQE Working Papers 6717, Center for Quantitative Economics (CQE), University of Muenster.
    10. Ostap Okhrin & Martin Odening & Wei Xu, 2013. "Systemic Weather Risk and Crop Insurance: The Case of China," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(2), pages 351-372, June.
    11. Shahid Latif & Slobodan P. Simonovic, 2023. "Trivariate Probabilistic Assessments of the Compound Flooding Events Using the 3-D Fully Nested Archimedean (FNA) Copula in the Semiparametric Distribution Setting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(4), pages 1641-1693, March.
    12. Lee, Sangwook & Kim, Min Jae & Kim, Soo Yong, 2011. "Interest rates factor model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(13), pages 2531-2548.
    13. Dißmann, J. & Brechmann, E.C. & Czado, C. & Kurowicka, D., 2013. "Selecting and estimating regular vine copulae and application to financial returns," Computational Statistics & Data Analysis, Elsevier, vol. 59(C), pages 52-69.
    14. Eling, Martin & Jung, Kwangmin, 2020. "Risk aggregation in non-life insurance: Standard models vs. internal models," Insurance: Mathematics and Economics, Elsevier, vol. 95(C), pages 183-198.
    15. Bernardi Enrico & Romagnoli Silvia, 2015. "A copula-based hierarchical hybrid loss distribution," Statistics & Risk Modeling, De Gruyter, vol. 32(1), pages 73-87, April.
    16. Grothe, Oliver & Hofert, Marius, 2015. "Construction and sampling of Archimedean and nested Archimedean Lévy copulas," Journal of Multivariate Analysis, Elsevier, vol. 138(C), pages 182-198.
    17. Eling, Martin & Jung, Kwangmin, 2018. "Copula approaches for modeling cross-sectional dependence of data breach losses," Insurance: Mathematics and Economics, Elsevier, vol. 82(C), pages 167-180.
    18. Han, Yingwei & Li, Jie, 2022. "Should investors include green bonds in their portfolios? Evidence for the USA and Europe," International Review of Financial Analysis, Elsevier, vol. 80(C).
    19. Umberto Cherubini & Sabrina Mulinacci, 2021. "Hierarchical Archimedean Dependence in Common Shock Models," Methodology and Computing in Applied Probability, Springer, vol. 23(1), pages 143-163, March.
    20. Awondo, Sebastain N., 2019. "Efficiency of region-wide catastrophic weather risk pools: Implications for African Risk Capacity insurance program," Journal of Development Economics, Elsevier, vol. 136(C), pages 111-118.
    21. Brechmann Eike Christain & Czado Claudia, 2013. "Risk management with high-dimensional vine copulas: An analysis of the Euro Stoxx 50," Statistics & Risk Modeling, De Gruyter, vol. 30(4), pages 307-342, December.
    22. Matthias R. Fengler & Ostap Okhrin, 2012. "Realized Copula," SFB 649 Discussion Papers SFB649DP2012-034, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    23. Xiangqian Sun & Xing Yan & Qi Wu, 2020. "Generative Learning of Heterogeneous Tail Dependence," Papers 2011.13132, arXiv.org, revised Nov 2023.
    24. Manner, Hans & Stark, Florian & Wied, Dominik, 2019. "Testing for structural breaks in factor copula models," Journal of Econometrics, Elsevier, vol. 208(2), pages 324-345.
    25. Manner, Hans & Alavi Fard, Farzad & Pourkhanali, Armin & Tafakori, Laleh, 2019. "Forecasting the joint distribution of Australian electricity prices using dynamic vine copulae," Energy Economics, Elsevier, vol. 78(C), pages 143-164.
    26. Chaoubi, Ihsan & Cossette, Hélène & Marceau, Etienne & Robert, Christian Y., 2021. "Hierarchical copulas with Archimedean blocks and asymmetric between-block pairs," Computational Statistics & Data Analysis, Elsevier, vol. 154(C).
    27. Calabrese, Raffaella & Degl’Innocenti, Marta & Osmetti, Silvia Angela, 2017. "The effectiveness of TARP-CPP on the US banking industry: A new copula-based approach," European Journal of Operational Research, Elsevier, vol. 256(3), pages 1029-1037.
    28. Awondo, Sebastain N. & Shurley, Don W., 2017. "On the Efficiency of Pseudo Risk Pools and Proxy Yield Data on Crop Insurance and Reinsurance in U.S," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258566, Agricultural and Applied Economics Association.
    29. Maximilian Coblenz & Simon Holz & Hans‐Jörg Bauer & Oliver Grothe & Rainer Koch, 2020. "Modelling fuel injector spray characteristics in jet engines by using vine copulas," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(4), pages 863-886, August.
    30. Fantazzini, Dean, 2011. "Analysis of multidimensional probability distributions with copula functions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 22(2), pages 98-134.
    31. Andreas Masuhr, 2018. "Bayesian Estimation of Generalized Partition of Unity Copulas," CQE Working Papers 7318, Center for Quantitative Economics (CQE), University of Muenster.
    32. Härdle Wolfgang Karl & Okhrin Ostap & Okhrin Yarema, 2013. "Dynamic structured copula models," Statistics & Risk Modeling, De Gruyter, vol. 30(4), pages 361-388, December.
    33. Zhu, Wenjun & Wang, Chou-Wen & Tan, Ken Seng, 2016. "Structure and estimation of Lévy subordinated hierarchical Archimedean copulas (LSHAC): Theory and empirical tests," Journal of Banking & Finance, Elsevier, vol. 69(C), pages 20-36.
    34. Manner, Hans & Türk, Dennis & Eichler, Michael, 2016. "Modeling and forecasting multivariate electricity price spikes," Energy Economics, Elsevier, vol. 60(C), pages 255-265.
    35. Hofert, Marius & Mächler, Martin & McNeil, Alexander J., 2012. "Likelihood inference for Archimedean copulas in high dimensions under known margins," Journal of Multivariate Analysis, Elsevier, vol. 110(C), pages 133-150.
    36. Enrico Bernardi & Silvia Romagnoli, 2016. "Distorted Copula-Based Probability Distribution of a Counting Hierarchical Variable: A Credit Risk Application," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(02), pages 285-310, March.
    37. Franziska Gaupp & Georg Pflug & Stefan Hochrainer‐Stigler & Jim Hall & Simon Dadson, 2017. "Dependency of Crop Production between Global Breadbaskets: A Copula Approach for the Assessment of Global and Regional Risk Pools," Risk Analysis, John Wiley & Sons, vol. 37(11), pages 2212-2228, November.
    38. Diers, Dorothea & Eling, Martin & Marek, Sebastian D., 2012. "Dependence modeling in non-life insurance using the Bernstein copula," Insurance: Mathematics and Economics, Elsevier, vol. 50(3), pages 430-436.
    39. Bernardi, Enrico & Falangi, Federico & Romagnoli, Silvia, 2015. "A hierarchical copula-based world-wide valuation of sovereign risk," Insurance: Mathematics and Economics, Elsevier, vol. 61(C), pages 155-169.
    40. Okhrin, Ostap & Xu, Ya Fei, 2017. "A comparison study of pricing credit default swap index tranches with convex combination of copulae," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 193-217.

  15. Puzanova, Natalia & Siddiqui, Sikandar & Trede, Mark, 2009. "Approximate value-at-risk calculation for heterogeneous loan portfolios: Possible enhancements of the Basel II methodology," Journal of Financial Stability, Elsevier, vol. 5(4), pages 374-392, December.

    Cited by:

    1. Barbagli, Matteo & Vrins, Frédéric, 2023. "Accounting for PD-LGD dependency: A tractable extension to the Basel ASRF framework," Economic Modelling, Elsevier, vol. 125(C).

  16. Cornelia Savu & Mark Trede, 2008. "Goodness-of-fit tests for parametric families of Archimedean copulas," Quantitative Finance, Taylor & Francis Journals, vol. 8(2), pages 109-116.

    Cited by:

    1. Gaißer, Sandra & Schmid, Friedrich, 2010. "On testing equality of pairwise rank correlations in a multivariate random vector," Journal of Multivariate Analysis, Elsevier, vol. 101(10), pages 2598-2615, November.
    2. Jean-David Fermanian, 2012. "An overview of the goodness-of-fit test problem for copulas," Papers 1211.4416, arXiv.org.
    3. Lee, Sangwook & Kim, Min Jae & Kim, Soo Yong, 2011. "Interest rates factor model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(13), pages 2531-2548.
    4. Christian Genest & Johanna Nešlehová & Johanna Ziegel, 2011. "Inference in multivariate Archimedean copula models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(2), pages 223-256, August.
    5. Gregor Weiß, 2013. "Copula-GARCH versus dynamic conditional correlation: an empirical study on VaR and ES forecasting accuracy," Review of Quantitative Finance and Accounting, Springer, vol. 41(2), pages 179-202, August.
    6. Weiß, Gregor N.F., 2011. "Are Copula-GoF-tests of any practical use? Empirical evidence for stocks, commodities and FX futures," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 173-188, May.
    7. Ostap Okhrin, 2010. "Fitting high-dimensional Copulae to Data," SFB 649 Discussion Papers SFB649DP2010-022, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    8. Gregor Weiß, 2011. "Copula parameter estimation by maximum-likelihood and minimum-distance estimators: a simulation study," Computational Statistics, Springer, vol. 26(1), pages 31-54, March.
    9. Siburg, Karl Friedrich & Stoimenov, Pavel & Weiß, Gregor N.F., 2015. "Forecasting portfolio-Value-at-Risk with nonparametric lower tail dependence estimates," Journal of Banking & Finance, Elsevier, vol. 54(C), pages 129-140.
    10. Paul Embrechts & Marius Hofert, 2011. "Comments on: Inference in multivariate Archimedean copula models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(2), pages 263-270, August.
    11. Okhrin, Ostap & Okhrin, Yarema & Schmid, Wolfgang, 2013. "On the structure and estimation of hierarchical Archimedean copulas," Journal of Econometrics, Elsevier, vol. 173(2), pages 189-204.
    12. Fantazzini, Dean, 2011. "Analysis of multidimensional probability distributions with copula functions. III," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 24(4), pages 100-130.
    13. Penikas, H., 2010. "Financial Applications of Copula-Models," Journal of the New Economic Association, New Economic Association, issue 7, pages 24-44.
    14. Simon Fritzsch & Maike Timphus & Gregor Weiss, 2021. "Marginals Versus Copulas: Which Account For More Model Risk In Multivariate Risk Forecasting?," Papers 2109.10946, arXiv.org.

  17. Schluter, Christian & Trede, Mark, 2008. "Identifying multiple outliers in heavy-tailed distributions with an application to market crashes," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 700-713, September.

    Cited by:

    1. Christian Schluter & Mark Trede, 2019. "Size distributions reconsidered," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 695-710, July.
    2. Talpsepp, Tõnn & Rieger, Marc Oliver, 2010. "Explaining asymmetric volatility around the world," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 938-956, December.
    3. Olmo, J., 2009. "Extreme Value Theory Filtering Techniques for Outlier Detection," Working Papers 09/09, Department of Economics, City University London.
    4. Brée, David S. & Joseph, Nathan Lael, 2013. "Testing for financial crashes using the Log Periodic Power Law model," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 287-297.

  18. Mark Trede & Bernd Wilfling, 2007. "Estimating exchange rate dynamics with diffusion processes: an application to Greek EMU data," Empirical Economics, Springer, vol. 33(1), pages 23-39, July.
    See citations under working paper version above.
  19. Zeisberger, Stefan & Langer, Thomas & Trede, Mark, 2007. "A note on myopic loss aversion and the equity premium puzzle," Finance Research Letters, Elsevier, vol. 4(2), pages 127-136, June.

    Cited by:

    1. Marc Oliver Rieger & Thorsten Hens & Mei Wang, 2013. "International Evidence on the Equity Premium Puzzle and Time Discounting," Multinational Finance Journal, Multinational Finance Journal, vol. 17(3-4), pages 149-163, September.
    2. Dichtl, Hubert & Drobetz, Wolfgang, 2015. "Sell in May and Go Away: Still good advice for investors?," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 29-43.

  20. Burkhard Heer & Mark Trede, 2004. "Taxation of labour and capital income in an OLG model with home production and endogenous fertility," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 4(1/2/3), pages 73-88.

    Cited by:

    1. Dyckerhoff, Rainer & Holz, Hartmut & Mosler, Karl, 1998. "Checking for orthant orderings between discrete multivariate distributions: An algorithm," Discussion Papers in Econometrics and Statistics 1/98, University of Cologne, Institute of Econometrics and Statistics.
    2. Kraft, Stefan & Schmid, Friedrich, 2000. "Nonparametric tests based on area-statistics," Discussion Papers in Econometrics and Statistics 2/00, University of Cologne, Institute of Econometrics and Statistics.

  21. Christian Schluter & Mark Trede, 2003. "Local versus Global Assessment of Mobility," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(4), pages 1313-1335, November.

    Cited by:

    1. Ayala, Luis & Sastre, Mercedes, 2002. "What determines income mobility differences across the European Union?," ISER Working Paper Series 2002-27, Institute for Social and Economic Research.
    2. Audra Bowlus & Jean-Marc Robin, 2010. "An International Comparison of Equalization Mobility and Lifetime Earnings Inequality: How Continental Europe Resembles North America," Working Papers hal-03473768, HAL.
    3. Bossert, Walter & D’Ambrosio, Conchita & Weber, Shlomo, 2022. "Distance-based social index numbers: A unifying approach," Journal of Mathematical Economics, Elsevier, vol. 100(C).
    4. Andrea Garnero & Alexander Hijzen & Sébastien Martin, 2016. "More unequal, but more mobile?: Earnings inequality and mobility in OECD countries," OECD Social, Employment and Migration Working Papers 177, OECD Publishing.
    5. VAN KERM Philippe, 2003. "What Lies Behind Income Mobility? Reranking and Distributional Change in Belgium, Western Germany and the USA," IRISS Working Paper Series 2003-03, IRISS at CEPS/INSTEAD.
    6. Luis Ayala & Mercedes Sastre, 2008. "The structure of income mobility: empirical evidence from five UE countries," Empirical Economics, Springer, vol. 35(3), pages 451-473, November.
    7. Markus Jantti & Stephen P. Jenkins, 2014. "Income Mobility," Working Papers 319, ECINEQ, Society for the Study of Economic Inequality.
    8. VAN KERM Philippe, 2002. "On the magnitude of income mobility in Germany," IRISS Working Paper Series 2002-03, IRISS at CEPS/INSTEAD.
    9. Luis Ayala & Mercedes Sastre, 2004. "Europe vs. the United States: is there a trade-off between mobility and inequality?," Journal of Income Distribution, Ad libros publications inc., vol. 13(1-2), pages 4-4, March-Jun.
    10. Audra J. Bowlus & Jean-Marc Robin, 2011. "An International Comparison of Lifetime Inequality: How Continental Europe Resembles North America," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20116, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    11. Richard Dickens & Abigail McKnight, 2008. "Changes in Earnings Inequality and Mobility in Great Britain 1978/9-2005/6," CEP Occasional Papers 21, Centre for Economic Performance, LSE.
    12. Stephen P. Jenkins & Philippe Van Kerm, 2006. "Trends in income inequality, pro-poor income growth, and income mobility," Oxford Economic Papers, Oxford University Press, vol. 58(3), pages 531-548, July.
    13. Firpo, Sergio, 2010. "Identification and Estimation of Distributional Impacts of Interventions Using Changes in Inequality Measures," IZA Discussion Papers 4841, Institute of Labor Economics (IZA).
    14. DEMUYNCK, Thomas & VAN DE GAER, Dirk, 2012. "Inequality adjusted income growth," LIDAM Reprints CORE 2505, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Aristei, David & Perugini, Cristiano, 2015. "The drivers of income mobility in Europe," Economic Systems, Elsevier, vol. 39(2), pages 197-224.
    16. VAN KERM Philippe, 2006. "Comparisons of income mobility profiles," IRISS Working Paper Series 2006-03, IRISS at CEPS/INSTEAD.
    17. Firpo, Sergio Pinheiro, 2010. "Identification and estimation of interventions using changes in inequality measures," Textos para discussão 214, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    18. Audra Bowlus & Jean-Marc Robin, 2010. "An International Comparison of Equalization Mobility and Lifetime Earnings Inequality: How Continental Europe Resembles North America," SciencePo Working papers Main hal-03473768, HAL.
    19. Mussini, Mauro, 2013. "On decomposing inequality and poverty changes over time: A multi-dimensional decomposition," Economic Modelling, Elsevier, vol. 33(C), pages 8-18.
    20. Audra Bowlus & Jean-Marc Robin, 2008. "An international comparison of lifetime labor income values and inequality: a bounds approach," Sciences Po publications info:hdl:2441/dc0ckec3fcb, Sciences Po.
    21. C. Schluter & D. Van De Gaer, 2008. "Structural Mobility, Exchange Mobility and Subgroup Consistent Mobility Measurement – US–German Mobility Measurements Revisited," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/543, Ghent University, Faculty of Economics and Business Administration.
    22. C. Schluter & D. Van De Gaer, 2003. "Mobility as distributional difference," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 03/182, Ghent University, Faculty of Economics and Business Administration.
    23. Audra Bowlus & Jean-Marc Robin, 2010. "An International Comparison of Equalization Mobility and Lifetime Earnings Inequality: How Continental Europe Resembles North America," Sciences Po publications info:hdl:2441/eu4vqp9ompq, Sciences Po.
    24. Tang, Yang & Ni, Xinwen, 2019. "Understanding the Role of Housing in Inequality and Social Mobility," IRTG 1792 Discussion Papers 2019-010, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    25. P. Jenkins, Stephen & Schluter, Christian, 2001. "Why are child poverty rates higher in Britain than in Germany? a longitudinal perspective -working paper-," ISER Working Paper Series 2001-16, Institute for Social and Economic Research.
    26. Mauro Mussini, 2014. "Decomposing inequality change from the perspective of reranking and income growth between income groups," Empirical Economics, Springer, vol. 47(2), pages 619-637, September.
    27. Audra Bowlus & Jean-Marc Robin, 2008. "An international comparison of lifetime labor income values and inequality," Working Papers hal-03459796, HAL.
    28. Abatemarco, Antonio, 2003. "Measuring income mobility over equivalent adults," ISER Working Paper Series 2003-15, Institute for Social and Economic Research.

  22. Heer, Burkhard & Trede, Mark, 2003. "Efficiency and distribution effects of a revenue-neutral income tax reform," Journal of Macroeconomics, Elsevier, vol. 25(1), pages 87-107, March.

    Cited by:

    1. Burkhard Heer, 2006. "Should Unemployment Benefits Be Related to Previous Earnings?," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 62(4), pages 530-550, December.
    2. Clemens Fuest & Andreas Peichl & Thilo Schaefer, 2008. "Is a flat tax reform feasible in a grown-up democracy of Western Europe? A simulation study for Germany," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 15(5), pages 620-636, October.
    3. Lehmus, Markku, 2011. "Labor or consumption taxes? An application with a dynamic general equilibrium model with heterogeneous agents," Economic Modelling, Elsevier, vol. 28(4), pages 1984-1992, July.
    4. Jim Fischer, 2017. "Is consumption tax regressive? A libertarian perspective," Proceedings of International Academic Conferences 5808138, International Institute of Social and Economic Sciences.
    5. Schaefer, Thilo & Peichl, Andreas & Fuest, Clemens, 2007. "Is a Flat Tax politically feasible in a grown-up Welfare State?," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 07-6, University of Cologne, FiFo Institute for Public Economics.
    6. Antón, Arturo & Boyd, Roy & Elizondo, Alejandra & Ibarrarán, María Eugenia, 2016. "Universal social insurance for Mexico: Modeling of a financing scheme," Economic Modelling, Elsevier, vol. 52(PB), pages 838-850.
    7. Parra-Alvarez, Juan Carlos & Posch, Olaf & Wang, Mu-Chun, 2020. "Estimation of heterogeneous agent models: A likelihood approach," Discussion Papers 42/2020, Deutsche Bundesbank.
    8. Peichl, Andreas, 2008. "The benefits of linking CGE and Microsimulation Models - Evidence from a Flat Tax analysis," FiFo Discussion Papers - Finanzwissenschaftliche Diskussionsbeiträge 08-6, University of Cologne, FiFo Institute for Public Economics.
    9. Kremer, Jana & Stähler, Nikolai, 2013. "Structural and cyclical effects of tax progression," Discussion Papers 15/2013, Deutsche Bundesbank.
    10. José Alves, 2018. "A DSGE Model to Evaluate the Macroeconomic Impacts of Taxation," Working Papers REM 2018/62, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    11. Hans Fehr & Christian Habermann, 2005. "Risk Sharing and Efficiency Implications of Progressive Pension Arrangements," CESifo Working Paper Series 1568, CESifo.
    12. Peichl, Andreas, 2009. "Benefits and problems of linking micro and macro models – evidence from a flat tax analysis," ISER Working Paper Series 2009-02, Institute for Social and Economic Research.
    13. Di Nola, Alessandro & Kocharkov, Georgi & Scholl, Almuth & Tkhir, Anna-Mariia, 2018. "The Aggregate Consequences of Tax Evasion," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181514, Verein für Socialpolitik / German Economic Association.
    14. John Gibson & Felix Rioja, 2017. "Public Infrastructure Maintenance And The Distribution Of Wealth," Economic Inquiry, Western Economic Association International, vol. 55(1), pages 175-186, January.
    15. FRANCESCO FELICI & Barbara Annicchiarico & Fabio Di Dio, 2012. "Structural Reforms and the Potential Effects on the Italian Economy," EcoMod2012 5073, EcoMod.
    16. Brüggemann, Bettina & Yoo, Jinhyuk, 2015. "Aggregate and distributional effects of increasing taxes on top income earners," IMFS Working Paper Series 94, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    17. Hull, Isaiah, 2013. "Approximate dynamic programming with postdecision states as a solution method for dynamic economic models," Working Paper Series 276, Sveriges Riksbank (Central Bank of Sweden).
    18. Barbara Annicchiarico & Fabio Di Dio & Francesco Felici, 2012. "Structural Reforms and the Potential Effects on the Italian Economy," CEIS Research Paper 227, Tor Vergata University, CEIS, revised 29 Mar 2012.
    19. Dimitris Papageorgiou, 2009. "Macroeconomic Implications of Alternative Tax Regimes: The Case of Greece," Working Papers 97, Bank of Greece.
    20. Ayse Imrohoroglu & Cagri S. Kumru & Arm Nakornthab, 2018. "Revisiting Tax on Top Income," ANU Working Papers in Economics and Econometrics 2018-660, Australian National University, College of Business and Economics, School of Economics.
    21. Bettina Brueggemann, 2016. "Higher Taxes at the Top: The Role of Entrepreneurs," 2016 Meeting Papers 332, Society for Economic Dynamics.
    22. Fabio Di Dio & Barbara Annicchiarico & Francesco Felici, 2011. "The macroeconomics of Europe 2020 reform strategy and the potential effects on Italian economy," EcoMod2011 2866, EcoMod.
    23. Gibson John & Rioja Felix, 2020. "The welfare effects of infrastructure investment in a heterogeneous agents economy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 20(1), pages 1-17, January.
    24. Fuest, Clemens & Peichl, Andreas & Schaefer, Thilo, 2007. "Is a Flat Tax Feasible in a Grown-up Welfare State?," IZA Discussion Papers 3142, Institute of Labor Economics (IZA).
    25. Burkhard Heer & Alfred Maussner, 2004. "Computation of Business Cycle Models: A Comparison of Numerical Methods," CESifo Working Paper Series 1207, CESifo.
    26. Juan Carlos Parra-Alvarez & Olaf Posch & Mu-Chun Wang, 2017. "Identification and estimation of heterogeneous agent models: A likelihood approach," CREATES Research Papers 2017-35, Department of Economics and Business Economics, Aarhus University.
    27. Lehmus, Markku, 2014. "Distributional and employment effects of labour tax changes in Finland," Journal of Policy Modeling, Elsevier, vol. 36(1), pages 107-120.
    28. Choi, Yoonseok & Hirata, Hideaki & Kim, Sunghyun Henry, 2017. "Tax reform in Japan: Is it welfare-enhancing?," Japan and the World Economy, Elsevier, vol. 42(C), pages 12-22.
    29. Elizaveta V. Martyanova & Andrey V. Polbin, 2023. "General equilibrium model with the entrepreneurial sector for the Russian economy," Russian Journal of Economics, ARPHA Platform, vol. 9(2), pages 109-133, July.
    30. Suzuki, Tomoya, 2021. "Basic income, wealth inequality and welfare: A proposed case in New Zealand," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 118-128.
    31. Elizaveta V. Martyanova & Andrey V. Polbin, 2024. "Scenario Assessment of Macroeconomic Effects of Progressive Taxation in Russia," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 8-30, February.
    32. Vanesa Jorda & Jose M. Alonso, 2020. "What works to mitigate and reduce relative (and absolute) inequality?: A systematic review," WIDER Working Paper Series wp-2020-152, World Institute for Development Economic Research (UNU-WIDER).

  23. Schmid, Friedrich & Trede, Mark, 2003. "Simple tests for peakedness, fat tails and leptokurtosis based on quantiles," Computational Statistics & Data Analysis, Elsevier, vol. 43(1), pages 1-12, May.

    Cited by:

    1. Manuel Ammann & Alexander Feser, 2019. "Robust Estimation of Risk-Neutral Moments," Working Papers on Finance 1902, University of St. Gallen, School of Finance.
    2. Campbell, Cynthia J. & Cowan, Arnold R. & Salotti, Valentina, 2010. "Multi-country event-study methods," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 3078-3090, December.
    3. Kössler, Wolfgang, 2010. "Max-type rank tests, U-tests, and adaptive tests for the two-sample location problem -- An asymptotic power study," Computational Statistics & Data Analysis, Elsevier, vol. 54(9), pages 2053-2065, September.
    4. Manuel Ammann & Alexander Feser, 2019. "Robust estimation of risk‐neutral moments," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(9), pages 1137-1166, September.
    5. Brys, Guy & Hubert, Mia & Struyf, Anja, 2006. "Robust measures of tail weight," Computational Statistics & Data Analysis, Elsevier, vol. 50(3), pages 733-759, February.
    6. Carlos Ordás Criado & Jean-Marie Grether, 2010. "Convergence in per capita CO2 emissions: a robust distributional approach," CEPE Working paper series 10-70, CEPE Center for Energy Policy and Economics, ETH Zurich.
    7. Giannopoulos, Kostas & Tunaru, Radu, 2005. "Coherent risk measures under filtered historical simulation," Journal of Banking & Finance, Elsevier, vol. 29(4), pages 979-996, April.
    8. Liu, Xiaochun, 2019. "On tail fatness of macroeconomic dynamics," Journal of Macroeconomics, Elsevier, vol. 62(C).
    9. C. Satheesh Kumar & S. Dharmaja, 2014. "On some properties of Kies distribution," METRON, Springer;Sapienza Università di Roma, vol. 72(1), pages 97-122, April.

  24. Christian Schluter & Mark Trede, 2002. "Statistical Inference for Inequality and Poverty Measurement with Dependent Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(2), pages 493-508, May.

    Cited by:

    1. Callealta Barroso, Francisco Javier & Fedriani Martel, Eugenio M. & Martín Caraballo, Ana M. & Sánchez Sánchez, Ana María, 2012. "Análisis de la evolución temporal de las desigualdades con datos irregulares || Analyzing the Income Inequalities with Irregular Time Series," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 13(1), pages 73-96, June.
    2. Philippe Kerm, 2002. "Inference on inequality measures: A Monte Carlo experiment," Journal of Economics, Springer, vol. 9(1), pages 283-306, December.
    3. Judith A. Clarke & Nilanjana Roy, 2009. "On Statistical Inference for Inequality Measures Calculated from Complex Survey Data," Econometrics Working Papers 0904, Department of Economics, University of Victoria.
    4. Martin Biewen & Stephen P. Jenkins, 2003. "Estimation of Generalized Entropy and Atkinson Inequality Indices from Complex Survey Data," Discussion Papers of DIW Berlin 345, DIW Berlin, German Institute for Economic Research.
    5. Heshmati, Almas, 2004. "Data Issues and Databases Used in Analysis of Growth, Poverty and Economic Inequality," IZA Discussion Papers 1263, Institute of Labor Economics (IZA).
    6. Stephen Jenkins, 2005. "Estimation of inequality indices from survey data, allowing for design effects," United Kingdom Stata Users' Group Meetings 2005 07, Stata Users Group.
    7. Juan Ramón García, "undated". "La desigualdad salarial en España. Efectos de un diseño muestral complejo," Working Papers 2003-26, FEDEA.
    8. P. Jenkins, Stephen & Biewen, Martin, 2003. "Estimation of Generalized Entropy and Atkinson inequality indices from survey data," ISER Working Paper Series 2003-11, Institute for Social and Economic Research.

  25. Schluter, Christian & Trede, Mark, 2002. "Tails of Lorenz curves," Journal of Econometrics, Elsevier, vol. 109(1), pages 151-166, July.

    Cited by:

    1. Schluter, Christian & Trede, Mark, 2008. "Identifying multiple outliers in heavy-tailed distributions with an application to market crashes," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 700-713, September.
    2. Davidson, Russell & Flachaire, Emmanuel, 2007. "Asymptotic and bootstrap inference for inequality and poverty measures," Journal of Econometrics, Elsevier, vol. 141(1), pages 141-166, November.
    3. Richard Burkhauser & Shuaizhang Feng & Stephen Jenkins & Jeff Larrimore, 2008. "Estimating Trends in U.S. Income Inequality Using the Current Population Survey: The Importance of Controlling for Censoring," Working Papers 08-25, Center for Economic Studies, U.S. Census Bureau.
    4. Jean-Marie Dufour & Emmanuel Flachaire & Lynda Khalaf, 2019. "Permutation Tests for Comparing Inequality Measures," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 457-470, July.
    5. Callealta Barroso, Francisco Javier & Fedriani Martel, Eugenio M. & Martín Caraballo, Ana M. & Sánchez Sánchez, Ana María, 2012. "Análisis de la evolución temporal de las desigualdades con datos irregulares || Analyzing the Income Inequalities with Irregular Time Series," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 13(1), pages 73-96, June.
    6. Emmanuel Flachaire & Olivier Nunez, 2007. "Estimation of income distribution and detection of subpopulations: an explanatory model," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00175923, HAL.
    7. Jenkins, Stephen P. & Burkhauser, Richard V. & Feng, Shuaizhang & Larrimore, Jeff, 2009. "Measuring Inequality Using Censored Data: A Multiple Imputation Approach," IZA Discussion Papers 4011, Institute of Labor Economics (IZA).
    8. Cowell, Frank A. & Flachaire, Emmanuel, 2007. "Income distribution and inequality measurement: The problem of extreme values," Journal of Econometrics, Elsevier, vol. 141(2), pages 1044-1072, December.
    9. Christian Schluter & Mark Trede, 2019. "Size distributions reconsidered," Econometric Reviews, Taylor & Francis Journals, vol. 38(6), pages 695-710, July.
    10. Schluter, Christian & van Garderen, Kees Jan, 2009. "Edgeworth expansions and normalizing transforms for inequality measures," Journal of Econometrics, Elsevier, vol. 150(1), pages 16-29, May.
    11. David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian Assessment of Lorenz and Stochastic Dominance," Department of Economics - Working Papers Series 2029, The University of Melbourne.
    12. Stephen P. Jenkins & Richard V. Burkhauser & Shuaizhang Feng & Jeff Larrimore, 2011. "Measuring inequality using censored data: a multiple‐imputation approach to estimation and inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 174(1), pages 63-81, January.
    13. Christian Schluter, 2018. "Top Incomes, Heavy Tails, and Rank-Size Regressions," Post-Print hal-01978497, HAL.
    14. Vladimir Hlasny, 2020. "Parametric Representation of the Top of Income Distributions: Options, Historical Evidence and Model Selection," Commitment to Equity (CEQ) Working Paper Series 90, Tulane University, Department of Economics.
    15. F. Clementi & A. L. Dabalen & V. Molini & F. Schettino, 2020. "We forgot the middle class! Inequality underestimation in a changing Sub-Saharan Africa," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 45-70, March.
    16. Frank A. Cowell & Philippe Kerm, 2015. "Wealth Inequality: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 29(4), pages 671-710, September.
    17. David Lander & David Gunawan & William E. Griffiths & Duangkamon Chotikapanich, 2016. "Bayesian Assessment of Lorenz and Stochastic Dominance Using a Mixture of Gamma Densities," Department of Economics - Working Papers Series 2023, The University of Melbourne.

  26. Mark Trede, 2002. "Bootstrapping inequality measures under the null hypothesis: Is it worth the effort?," Journal of Economics, Springer, vol. 9(1), pages 261-282, December.

    Cited by:

    1. Timothy Patrick Moran, 2006. "Statistical Inference for Measures of Inequality With a Cross-National Bootstrap Application," Sociological Methods & Research, , vol. 34(3), pages 296-333, February.
    2. Zeisberger, Stefan & Langer, Thomas & Trede, Mark, 2007. "A note on myopic loss aversion and the equity premium puzzle," Finance Research Letters, Elsevier, vol. 4(2), pages 127-136, June.
    3. Tim Goedemé, 2013. "How much Confidence can we have in EU-SILC? Complex Sample Designs and the Standard Error of the Europe 2020 Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(1), pages 89-110, January.
    4. Trauten, Andreas & Schulz, Roland C., 2006. "IPO investment strategies and pseudo market timing," Working Papers 36, University of Münster, Competence Center Internet Economy and Hybrid Systems, European Research Center for Information Systems (ERCIS).
    5. Biewen, Martin, 2002. "Bootstrap inference for inequality, mobility and poverty measurement," Journal of Econometrics, Elsevier, vol. 108(2), pages 317-342, June.
    6. Timothy Moran, 2005. "Bootstrapping the LIS: Statistical Inference and Patterns of Inequality in the Global North," LIS Working papers 378, LIS Cross-National Data Center in Luxembourg.

  27. Esfandiar Maasoumi & Mark Trede, 2001. "Comparing Income Mobility In Germany And The United States Using Generalized Entropy Mobility Measures," The Review of Economics and Statistics, MIT Press, vol. 83(3), pages 551-559, August.

    Cited by:

    1. Jorge Antunes & Rangan Gupta & Zinnia Mukherjee & Peter Wanke, 2022. "Information entropy, continuous improvement, and US energy performance: a novel stochastic-entropic analysis for ideal solutions (SEA-IS)," Annals of Operations Research, Springer, vol. 313(1), pages 289-318, June.
    2. Paul Allanson, 2008. "On the characterisation and measurement of the welfare effects of income mobility from an ex-ante perspective," Dundee Discussion Papers in Economics 219, Economic Studies, University of Dundee.
    3. Audra Bowlus & Jean-Marc Robin, 2010. "An International Comparison of Equalization Mobility and Lifetime Earnings Inequality: How Continental Europe Resembles North America," Working Papers hal-03473768, HAL.
    4. Kai-yuen Tsui, 2009. "Measurement of income mobility: a re-examination," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 33(4), pages 629-645, November.
    5. Andrea Garnero & Alexander Hijzen & Sébastien Martin, 2016. "More unequal, but more mobile?: Earnings inequality and mobility in OECD countries," OECD Social, Employment and Migration Working Papers 177, OECD Publishing.
    6. Myck, Michal & Ochmann, Richard & Qari, Salmai, 2008. "Dynamics of Earnings and Hourly Wages in Germany," IZA Discussion Papers 3751, Institute of Labor Economics (IZA).
    7. VAN KERM Philippe, 2003. "What Lies Behind Income Mobility? Reranking and Distributional Change in Belgium, Western Germany and the USA," IRISS Working Paper Series 2003-03, IRISS at CEPS/INSTEAD.
    8. Rolf Aaberge & Magne Mogstad, 2009. "On the Measurement of Long-Term Income Inequality and Income Mobility," ICER Working Papers 09-2009, ICER - International Centre for Economic Research.
    9. Jean-Pascal Gayant & Nicolas Le Pape, 2017. "Increasing N th degree inequality," Post-Print halshs-01525395, HAL.
    10. Markus Jantti & Stephen P. Jenkins, 2014. "Income Mobility," Working Papers 319, ECINEQ, Society for the Study of Economic Inequality.
    11. Fernandes, Leonardo H.S. & de Araújo, Fernando H.A. & Silva, Igor E.M. & Neto, Jusie S.P., 2021. "Macroeconophysics indicator of economic efficiency," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    12. Aaberge, Rolf & Mogstad, Magne & Peragine, Vito, 2011. "Measuring long-term inequality of opportunity," Journal of Public Economics, Elsevier, vol. 95(3), pages 193-204.
    13. Martín Trombetta, 2023. "The distributional implications of short-term income mobility: evidence for Latin America," Working Papers 241, Red Nacional de Investigadores en Economía (RedNIE).
    14. VAN KERM Philippe, 2002. "On the magnitude of income mobility in Germany," IRISS Working Paper Series 2002-03, IRISS at CEPS/INSTEAD.
    15. Azam, Mehtabul, 2016. "Household Income Mobility in India: 1993-2011," IZA Discussion Papers 10308, Institute of Labor Economics (IZA).
    16. Formby, John P. & Smith, W. James & Zheng, Buhong, 2004. "Mobility measurement, transition matrices and statistical inference," Journal of Econometrics, Elsevier, vol. 120(1), pages 181-205, May.
    17. Audra J. Bowlus & Jean-Marc Robin, 2011. "An International Comparison of Lifetime Inequality: How Continental Europe Resembles North America," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20116, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    18. Stephen P. Jenkins & Philippe Van Kerm, 2006. "Trends in income inequality, pro-poor income growth, and income mobility," Oxford Economic Papers, Oxford University Press, vol. 58(3), pages 531-548, July.
    19. Chauvel Louis & Hartung Anne & Palmisano Flaviana, 2019. "Dynamics of Individual Income Rank Volatility: Evidence from West Germany and the US," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(2), pages 1-22, April.
    20. Stéphane Bonhomme & Jean-Marc Robin, 2008. "Assessing the equalizing force of mobility using short panels: France 1990-2000," CeMMAP working papers CWP02/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    21. Bönke, Timm & Corneo, Giacomo & Lüthen, Holger, 2011. "Lifetime Earnings Inequality in Germany," IZA Discussion Papers 6020, Institute of Labor Economics (IZA).
    22. Gulgun Bayaz-Ozturk & Richard V. Burkhauser & Kenneth A. Couch, 2012. "Consolidating the Evidence on Income Mobility in the Western States of Germany and the U.S. from 1984-2006," NBER Working Papers 18618, National Bureau of Economic Research, Inc.
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    25. Schröder Carsten & König Johannes & Fedorets Alexandra & Goebel Jan & Grabka Markus M. & Lüthen Holger & Metzing Maria & Schikora Felicitas & Liebig Stefan, 2020. "The economic research potentials of the German Socio-Economic Panel study," German Economic Review, De Gruyter, vol. 21(3), pages 335-371, September.
    26. DEMUYNCK, Thomas & VAN DE GAER, Dirk, 2012. "Inequality adjusted income growth," LIDAM Reprints CORE 2505, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    29. Yélé Maweki Batana & Jean-Yves Duclos, 2010. "Testing for Mobility Dominance," Cahiers de recherche 1002, CIRPEE.
    30. Bonhomme, Stéphane & Robin, Jean-Marc, 2008. "Articles : Conférence François-Albert-Angers – 2008 - La mesure des inégalités de long terme avec des panels courts : 1990-2000," L'Actualité Economique, Société Canadienne de Science Economique, vol. 84(4), pages 325-363, Décembre.
    31. Stéphane Bonhomme & Jean-Marc Robin, 2008. "La mesure des inégalités de long terme avec des panels courts : 1990-2000," PSE-Ecole d'économie de Paris (Postprint) hal-03461814, HAL.
    32. Audra Bowlus & Jean-Marc Robin, 2010. "An International Comparison of Equalization Mobility and Lifetime Earnings Inequality: How Continental Europe Resembles North America," SciencePo Working papers Main hal-03473768, HAL.
    33. Aart Kraay & Roy Weide, 2022. "Measuring intragenerational mobility using aggregate data," Journal of Economic Growth, Springer, vol. 27(2), pages 273-314, June.
    34. Paul Gregg & Claudia Vittori, 2008. "Exploring Shorrocks Mobility Indices Using European Data," The Centre for Market and Public Organisation 08/206, The Centre for Market and Public Organisation, University of Bristol, UK.
    35. Paul Allanson, 2012. "On the characterization and economic evaluation of income mobility as a process of distributional change," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 10(4), pages 505-528, December.
    36. Rolf Aaberge & Magne Mogstad, 2014. "Income mobility as an equalizer of permanent income," Discussion Papers 769, Statistics Norway, Research Department.
    37. Can Liu & Sen Wang & Hao Liu & Wenqing Zhu, 2012. "The Impact of China’s Priority Forest Programs on Rural Households Income Mobility," Working Papers PIERI 2012-10, PEP-PIERI.
    38. Audra Bowlus & Jean-Marc Robin, 2008. "An international comparison of lifetime labor income values and inequality: a bounds approach," Sciences Po publications info:hdl:2441/dc0ckec3fcb, Sciences Po.
    39. C. Schluter & D. Van De Gaer, 2008. "Structural Mobility, Exchange Mobility and Subgroup Consistent Mobility Measurement – US–German Mobility Measurements Revisited," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/543, Ghent University, Faculty of Economics and Business Administration.
    40. Nicholas Rohde & Ross Guest, 2018. "Multidimensional Inequality Across Three Developed Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(3), pages 576-591, September.
    41. Martin Trombetta, 2022. "Los efectos distributivos de la movilidad de ingresos: evidencia para América Latina," Asociación Argentina de Economía Política: Working Papers 4604, Asociación Argentina de Economía Política.
    42. Biewen, Martin, 2002. "Bootstrap inference for inequality, mobility and poverty measurement," Journal of Econometrics, Elsevier, vol. 108(2), pages 317-342, June.
    43. Gulgun Bayaz-Ozturk & Tao Chen & Kenneth A. Couch, 2014. "Intragenerational mobility and the ratio of permanent to total inequality," Applied Economics, Taylor & Francis Journals, vol. 46(36), pages 4399-4408, December.
    44. Austin Nichols & Philipp Rehm, 2014. "Income Risk in 30 Countries," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S1), pages 98-116, May.
    45. Liu, Can & Wang, Sen & Liu, Hao & Zhu, Wenqing, 2012. "The impact of China's priority forest programs on rural households' income and income mobility," PEP Working Papers 164292, Partnership for Economic Policy (PEP).
    46. Audra Bowlus & Jean-Marc Robin, 2010. "An International Comparison of Equalization Mobility and Lifetime Earnings Inequality: How Continental Europe Resembles North America," Sciences Po publications info:hdl:2441/eu4vqp9ompq, Sciences Po.
    47. Nicholas Rohde & Kam Ki Tang & D.S. Prasada Rao, 2014. "Distributional Characteristics of Income Insecurity in the U.S., Germany, and Britain," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(S1), pages 159-176, May.
    48. Claudia Senik, 2005. "Income distribution and well‐being: what can we learn from subjective data?," Journal of Economic Surveys, Wiley Blackwell, vol. 19(1), pages 43-63, February.
    49. Costanza Naguib & Patrick Gagliardini, 2023. "A Semi-nonparametric Copula Model for Earnings Mobility," Diskussionsschriften dp2302, Universitaet Bern, Departement Volkswirtschaft.
    50. Glewwe, Paul & Phong Nguyen, 2002. "Economic mobility in Vietnam in the 1990s," Policy Research Working Paper Series 2838, The World Bank.
    51. Gulgun Bayaz-Ozturk & Richard V. Burkhauser & Kenneth A. Couch, 2014. "Consolidating The Evidence On Income Mobility In The Western States Of Germany And The United States From 1984 To 2006," Economic Inquiry, Western Economic Association International, vol. 52(1), pages 431-443, January.
    52. Audra Bowlus & Jean-Marc Robin, 2008. "An international comparison of lifetime labor income values and inequality," Working Papers hal-03459796, HAL.
    53. Nesson, Erik T. & Robinson, Joshua J., 2015. "An information theory based framework for the measurement of population health," Economics & Human Biology, Elsevier, vol. 17(C), pages 86-103.
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  28. Trede Mark, 1999. "Statistical Inference for Measures of Income Mobility / Statistische Inferenz zur Messung der Einkommensmobilität," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 218(3-4), pages 473-490, June.

    Cited by:

    1. Formby, John P. & Smith, W. James & Zheng, Buhong, 2004. "Mobility measurement, transition matrices and statistical inference," Journal of Econometrics, Elsevier, vol. 120(1), pages 181-205, May.
    2. Yi Chen & Frank A Cowell, 2013. "Mobility in China," STICERD - Public Economics Programme Discussion Papers 18, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    3. Gaston Yalonetzky, 2009. "Comparing Economic Mobility with Heterogeneity Indices: An Application to Education in Peru," OPHI Working Papers 33, Queen Elizabeth House, University of Oxford.
    4. Fiaschi, Davide & Lavezzi, Andrea Mario, 2003. "Distribution Dynamics and Nonlinear Growth," Journal of Economic Growth, Springer, vol. 8(4), pages 379-401, December.
    5. Wei Kang & Sergio J. Rey, 2020. "Inference for Income Mobility Measures in the Presence of Spatial Dependence," International Regional Science Review, , vol. 43(1-2), pages 10-39, January.

  29. Trede, Mark, 1998. "Making mobility visible: a graphical device," Economics Letters, Elsevier, vol. 59(1), pages 77-82, April.
    See citations under working paper version above.
  30. Mark M. Trede, 1998. "The age profile of mobility measures: an application to earnings in West Germany," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(4), pages 397-409.

    Cited by:

    1. Sami Bibi & Jean-Yves Duclos & Abdelkrim Araar, 2011. "Mobility, Taxation and Welfare," Cahiers de recherche 1114, CIRPEE.
    2. Bönke, Timm & Corneo, Giacomo & Lüthen, Holger, 2011. "Lifetime Earnings Inequality in Germany," IZA Discussion Papers 6020, Institute of Labor Economics (IZA).

  31. Schmid, Friedrich & Trede, Mark, 1998. "A Kolmogorov-type test for second-order stochastic dominance," Statistics & Probability Letters, Elsevier, vol. 37(2), pages 183-193, February.

    Cited by:

    1. Vivek Dehejia & Marcel Voia, 2008. "International Income Comparisons and Location Choice: Methodology, Analysis, and Implications," Carleton Economic Papers 08-02, Carleton University, Department of Economics.
    2. Karl Mosler, 2020. "Commentary on “From unidimensional to multidimensional inequality: a review”," METRON, Springer;Sapienza Università di Roma, vol. 78(1), pages 51-54, April.
    3. Abdul Rashid & Saba Kausar, 2019. "Testing the Monthly Calendar Anomaly of Stock Returns in Pakistan: A Stochastic Dominance Approach," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 58(1), pages 83-104.
    4. Horvath, Lajos & Kokoszka, Piotr & Zitikis, Ricardas, 2006. "Testing for stochastic dominance using the weighted McFadden-type statistic," Journal of Econometrics, Elsevier, vol. 133(1), pages 191-205, July.
    5. Post, Thierry & Karabatı, Selçuk & Arvanitis, Stelios, 2019. "Robust optimization of forecast combinations," International Journal of Forecasting, Elsevier, vol. 35(3), pages 910-926.
    6. Isha Dewan & Rohini Somanathan, 2004. "Poverty targeting in public programs: A comparison of alternative nonparametric methods," Discussion Papers 04-16, Indian Statistical Institute, Delhi.
    7. Post, Thierry & Karabatı, Selçuk & Arvanitis, Stelios, 2018. "Portfolio optimization based on stochastic dominance and empirical likelihood," Journal of Econometrics, Elsevier, vol. 206(1), pages 167-186.
    8. Marcel Voia & Liqun Wang & Ricardas Zitikis, 2009. "A Distributional Analysis of Treatment Effects on Subpopulations of a Socioeconomic Experiment," Carleton Economic Papers 09-02, Carleton University, Department of Economics, revised 05 Feb 2010.
    9. Stelios Arvanitis & Thierry Post & Nikolas Topaloglou, 2021. "Stochastic Bounds for Reference Sets in Portfolio Analysis," Management Science, INFORMS, vol. 67(12), pages 7737-7754, December.
    10. Dehejia Vivek H. & Voia Marcel C., 2012. "International Income Comparisons and Social Welfare: Methodology, Analysis, and Implications," Journal of Globalization and Development, De Gruyter, vol. 3(1), pages 1-24, June.

  32. Heer, Burkhard & Trede, Mark & Wahrenburg, Mark, 1997. "The Effect of Option Trading at the DTB on the Underlying Stocks' Return Variance," Empirical Economics, Springer, vol. 22(2), pages 233-245.

    Cited by:

    1. Jahangir Sultan, 2012. "Options on federal funds futures and interest rate volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(4), pages 330-359, April.
    2. Sabrina Ecca & Michele Marchesi & Alessio Setzu, 2008. "Modeling and Simulation of an Artificial Stock Option Market," Computational Economics, Springer;Society for Computational Economics, vol. 32(1), pages 37-53, September.
    3. Eunpyo Hong & Min C. Park & Tao‐Hsien Dolly King, 2023. "The effect of option listing on financing decisions," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 50(3-4), pages 858-891, March.
    4. Sui, Cong & Lung, Peter & Yang, Mo, 2021. "Index option trading and equity volatility: Evidence from the SSE 50 and CSI 500 stocks," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 60-75.

  33. Schmid, Friedrich & Trede, Mark, 1996. "An L1-variant of the Cramer-von Mises test," Statistics & Probability Letters, Elsevier, vol. 26(1), pages 91-96, January.

    Cited by:

    1. Youndjé, É., 2018. "Equivalence between Mallows and Girone–Cifarelli tests," Statistics & Probability Letters, Elsevier, vol. 141(C), pages 125-128.
    2. Henze, Norbert & Nikitin, Yakov & Ebner, Bruno, 2009. "Integral distribution-free statistics of Lp-type and their asymptotic comparison," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3426-3438, July.
    3. Angel G. Angelov & Magnus Ekström, 2023. "Tests of stochastic dominance with repeated measurements data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(3), pages 443-467, September.
    4. Gregor Weiß, 2011. "Copula parameter estimation by maximum-likelihood and minimum-distance estimators: a simulation study," Computational Statistics, Springer, vol. 26(1), pages 31-54, March.

  34. Schmid, Friedrich & Trede, Mark, 1995. "A distribution free test for the two sample problem for general alternatives," Computational Statistics & Data Analysis, Elsevier, vol. 20(4), pages 409-419, October.

    Cited by:

    1. L. Baringhaus & D. Kolbe, 2015. "Two-sample tests based on empirical Hankel transforms," Statistical Papers, Springer, vol. 56(3), pages 597-617, August.
    2. Uri Gneezy & John A. List & Jeffrey A. Livingston & Sally Sadoff & Xiangdong Qin & Yang Xu, 2017. "Measuring Success in Education: The Role of Effort on the Test Itself," NBER Working Papers 24004, National Bureau of Economic Research, Inc.
    3. Magdalena Smyk & Joanna Tyrowicz & Lucas van der Velde, 2021. "A Cautionary Note on the Reliability of the Online Survey Data: The Case of Wage Indicator," Sociological Methods & Research, , vol. 50(1), pages 429-464, February.
    4. Alex Imas & Sally Sadoff & Anya Samek, 2017. "Do People Anticipate Loss Aversion?," Management Science, INFORMS, vol. 63(5), pages 1271-1284, May.
    5. Henze, Norbert & Nikitin, Yakov & Ebner, Bruno, 2009. "Integral distribution-free statistics of Lp-type and their asymptotic comparison," Computational Statistics & Data Analysis, Elsevier, vol. 53(9), pages 3426-3438, July.
    6. Angel G. Angelov & Magnus Ekström, 2023. "Tests of stochastic dominance with repeated measurements data," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(3), pages 443-467, September.
    7. Jeroen Hinloopen & Rien Wagenvoort, 2010. "Identifying All Distinct Sample P-P Plots, with an Application to the Exact Finite Sample Distribution of the L1-FCvM Test Statistic," Tinbergen Institute Discussion Papers 10-083/1, Tinbergen Institute.
    8. Kraft, Stefan & Schmid, Friedrich, 2000. "Nonparametric tests based on area-statistics," Discussion Papers in Econometrics and Statistics 2/00, University of Cologne, Institute of Econometrics and Statistics.
    9. Taylor, C. C. & Zempleni, A., 2004. "Chain plot: a tool for exploiting bivariate temporal structures," Computational Statistics & Data Analysis, Elsevier, vol. 46(1), pages 141-153, May.
    10. Jeroen Hinloopen & Rien Wagenvoort & Charles van Marrewijk, 2008. "A K-sample Homogeneity Test based on the Quantification of the p-p Plot," Tinbergen Institute Discussion Papers 08-100/1, Tinbergen Institute.
    11. Jeroen Hinloopen, 2011. "On the Exact Finite Sample Distribution of the L1 -FCvM Test Statistic," Tinbergen Institute Discussion Papers 11-083/1, Tinbergen Institute.
    12. Jeroen Hinloopen & Rien J.L.M. Wagenvoort & Charles van Marrewijk, 2012. "A k-sample homogeneity test: the Harmonic Weighted Mass index," International Econometric Review (IER), Econometric Research Association, vol. 4(1), pages 17-39, April.

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