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Geert Dhaene

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," SciencePo Working papers Main hal-03391995, HAL.

    Cited by:

    1. Ivan Fernandez-Val & Martin Weidner, 2018. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP22/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Geert Dhaene & Koen Jochmans, 2015. "Split-panel jackknife estimation of fixed-effect models," Post-Print hal-03392997, HAL.
    3. Kruiniger, Hugo, 2018. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," MPRA Paper 88623, University Library of Munich, Germany.
    4. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    5. Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers CWP04/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    7. Alexander Chudik & M. Hashem Pesaran & Jui‐Chung Yang, 2018. "Half‐panel jackknife fixed‐effects estimation of linear panels with weakly exogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 816-836, September.
    8. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    9. Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.
    10. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    11. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.
    12. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," Economic Growth Centre Working Paper Series 1415, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    13. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    14. Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers 04/17, Institute for Fiscal Studies.
    15. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    16. Guangjie Li, 2015. "Consistency in Estimation and Model Selection of Dynamic Panel Data Models with Fixed Effects," Econometrics, MDPI, vol. 3(3), pages 1-31, July.
    17. St'ephane Bonhomme & Koen Jochmans & Martin Weidner, 2024. "A Neyman-Orthogonalization Approach to the Incidental Parameter Problem," Papers 2412.10304, arXiv.org.
    18. Wendong Zhang & Sergio H. Lence & Todd Kuethe, 2021. "Are Expert Opinions Accurate? Panel Data Evidence from the Iowa Land Value Survey," Land Economics, University of Wisconsin Press, vol. 97(4), pages 875-892.
    19. Sebastian Kripfganz & Jörg Breitung, 2022. "Bias-corrected estimation of linear dynamic panel data models," London Stata Conference 2022 05, Stata Users Group.
    20. Bun, Maurice J.G. & Kleibergen, Frank, 2022. "Identification Robust Inference For Moments-Based Analysis Of Linear Dynamic Panel Data Models," Econometric Theory, Cambridge University Press, vol. 38(4), pages 689-751, August.
    21. Hayakawa, Kazuhiko, 2024. "Recent development of covariance structure analysis in economics," Econometrics and Statistics, Elsevier, vol. 29(C), pages 31-48.
    22. Breitung, Jörg & Kripfganz, Sebastian & Hayakawa, Kazuhiko, 2022. "Bias-corrected method of moments estimators for dynamic panel data models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 116-132.

  2. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," SciencePo Working papers Main hal-03391995, HAL.

    Cited by:

    1. Ivan Fernandez-Val & Martin Weidner, 2018. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP22/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Geert Dhaene & Koen Jochmans, 2015. "Split-panel jackknife estimation of fixed-effect models," Post-Print hal-03392997, HAL.
    3. Kruiniger, Hugo, 2018. "A further look at Modified ML estimation of the panel AR(1) model with fixed effects and arbitrary initial conditions," MPRA Paper 88623, University Library of Munich, Germany.
    4. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    5. Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers CWP04/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Alvarez, Javier & Arellano, Manuel, 2022. "Robust likelihood estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 226(1), pages 21-61.
    7. Alexander Chudik & M. Hashem Pesaran & Jui‐Chung Yang, 2018. "Half‐panel jackknife fixed‐effects estimation of linear panels with weakly exogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 816-836, September.
    8. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    9. Dhaene, G. & Jochmans, K., 2019. "Profile-Score Adjustments for Incidental-Parameter Problems," Cambridge Working Papers in Economics 1959, Faculty of Economics, University of Cambridge.
    10. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    11. Norkutė, Milda & Westerlund, Joakim, 2021. "The factor analytical approach in near unit root interactive effects panels," Journal of Econometrics, Elsevier, vol. 221(2), pages 569-590.
    12. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," Economic Growth Centre Working Paper Series 1415, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    13. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    14. Jose Diogo Barbosa & Marcelo Moreira, 2017. "Likelihood inference and the role of initial conditions for the dynamic panel data model," CeMMAP working papers 04/17, Institute for Fiscal Studies.
    15. Ayden Higgins & Koen Jochmans, 2022. "Bootstrap inference for fixed-effect models," Papers 2201.11156, arXiv.org.
    16. Guangjie Li, 2015. "Consistency in Estimation and Model Selection of Dynamic Panel Data Models with Fixed Effects," Econometrics, MDPI, vol. 3(3), pages 1-31, July.
    17. St'ephane Bonhomme & Koen Jochmans & Martin Weidner, 2024. "A Neyman-Orthogonalization Approach to the Incidental Parameter Problem," Papers 2412.10304, arXiv.org.
    18. Wendong Zhang & Sergio H. Lence & Todd Kuethe, 2021. "Are Expert Opinions Accurate? Panel Data Evidence from the Iowa Land Value Survey," Land Economics, University of Wisconsin Press, vol. 97(4), pages 875-892.
    19. Sebastian Kripfganz & Jörg Breitung, 2022. "Bias-corrected estimation of linear dynamic panel data models," London Stata Conference 2022 05, Stata Users Group.
    20. Bun, Maurice J.G. & Kleibergen, Frank, 2022. "Identification Robust Inference For Moments-Based Analysis Of Linear Dynamic Panel Data Models," Econometric Theory, Cambridge University Press, vol. 38(4), pages 689-751, August.
    21. Hayakawa, Kazuhiko, 2024. "Recent development of covariance structure analysis in economics," Econometrics and Statistics, Elsevier, vol. 29(C), pages 31-48.
    22. Breitung, Jörg & Kripfganz, Sebastian & Hayakawa, Kazuhiko, 2022. "Bias-corrected method of moments estimators for dynamic panel data models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 116-132.

  3. Koen Jochmans & Geert Dhaene, 2015. "Bias-corrected estimation of panel vector autoregressions," SciencePo Working papers Main hal-01174330, HAL.

    Cited by:

    1. Inoue, Atsushi & Jordà , Òscar & Kuersteiner, Guido, 2024. "Inference for Local Projections," CEPR Discussion Papers 19379, C.E.P.R. Discussion Papers.
    2. Ba Chu & Shafiullah Qureshi, 2020. "Predicting the COVID-19 pandemic in Canada and the US," Economics Bulletin, AccessEcon, vol. 40(3), pages 2565-2585.
    3. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," Working Paper Series 2024-24, Federal Reserve Bank of San Francisco.

  4. Geert Dhaene & Koen Jochmans, 2015. "Profile-score adjustments for incidental-parameter problems," SciencePo Working papers Main hal-03460016, HAL.

    Cited by:

    1. Zou, Tao & Lan, Wei & Li, Runze & Tsai, Chih-Ling, 2022. "Inference on covariance-mean regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 318-338.

  5. Koen Jochmans & Geert Dhaene, 2015. "Bias-corrected estimation of panel vector autoregressions," SciencePo Working papers Main hal-01174330, HAL.

    Cited by:

    1. Inoue, Atsushi & Jordà , Òscar & Kuersteiner, Guido, 2024. "Inference for Local Projections," CEPR Discussion Papers 19379, C.E.P.R. Discussion Papers.
    2. Ba Chu & Shafiullah Qureshi, 2020. "Predicting the COVID-19 pandemic in Canada and the US," Economics Bulletin, AccessEcon, vol. 40(3), pages 2565-2585.
    3. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," Working Paper Series 2024-24, Federal Reserve Bank of San Francisco.

  6. Koen Jochmans & Geert Dhaene, 2015. "Bias-corrected estimation of panel vector autoregressions," SciencePo Working papers Main hal-01174330, HAL.

    Cited by:

    1. Inoue, Atsushi & Jordà , Òscar & Kuersteiner, Guido, 2024. "Inference for Local Projections," CEPR Discussion Papers 19379, C.E.P.R. Discussion Papers.
    2. Ba Chu & Shafiullah Qureshi, 2020. "Predicting the COVID-19 pandemic in Canada and the US," Economics Bulletin, AccessEcon, vol. 40(3), pages 2565-2585.
    3. Òscar Jordà & Alan M. Taylor, 2024. "Local Projections," Working Paper Series 2024-24, Federal Reserve Bank of San Francisco.

  7. Geert Dhaene & Koen Jochmans, 2015. "Profile-score adjustments for incidental-parameter problems," SciencePo Working papers Main hal-03460016, HAL.

    Cited by:

    1. Zou, Tao & Lan, Wei & Li, Runze & Tsai, Chih-Ling, 2022. "Inference on covariance-mean regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 318-338.

  8. Geert Dhaene & Koen Jochmans, 2011. "An Adjusted profile likelihood for non-stationary panel data models with fixed effects," SciencePo Working papers Main hal-01073732, HAL.

    Cited by:

    1. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," SciencePo Working papers Main hal-01073733, HAL.
    2. Magnac, Thierry & Pistolesi, Nicolas & Roux, Sébastien, 2013. "Post Schooling Human Capital Investments and the Life Cycle Variance of Earnings," IZA Discussion Papers 7407, Institute of Labor Economics (IZA).
    3. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," Economic Growth Centre Working Paper Series 1415, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    4. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    5. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    6. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," UvA-Econometrics Working Papers 14-09, Universiteit van Amsterdam, Dept. of Econometrics.

  9. Geert Dhaene & Koen Jochmans, 2011. "An Adjusted profile likelihood for non-stationary panel data models with fixed effects," SciencePo Working papers Main hal-01073732, HAL.

    Cited by:

    1. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," SciencePo Working papers Main hal-01073733, HAL.
    2. Magnac, Thierry & Pistolesi, Nicolas & Roux, Sébastien, 2013. "Post Schooling Human Capital Investments and the Life Cycle Variance of Earnings," IZA Discussion Papers 7407, Institute of Labor Economics (IZA).
    3. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," Economic Growth Centre Working Paper Series 1415, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    4. Maurice J.G. Bun & Martin A. Carree & Artūras Juodis, 2017. "On Maximum Likelihood Estimation of Dynamic Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 463-494, August.
    5. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    6. Jan F. Kiviet & Milan Pleus & Rutger Poldermans, 2014. "Accuracy and efficiency of various GMM inference techniques in dynamic micro panel data models," UvA-Econometrics Working Papers 14-09, Universiteit van Amsterdam, Dept. of Econometrics.

  10. DHAENE, Geert & JOCHMANS, Koen, 2010. "Split-panel jackknife estimation of fixed-effect models," LIDAM Discussion Papers CORE 2010003, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Xiao, Jiaqi & Juodis, Arturas & Karavias, Yiannis & Sarafidis, Vasilis & Ditzen, Jan, 2022. "Improved Tests for Granger Non-Causality in Panel Data," MPRA Paper 114231, University Library of Munich, Germany.
    2. Ivan Fernandez-Val & Martin Weidner, 2013. "Individual and Time Effects in Nonlinear Panel Models with Large N, T," Papers 1311.7065, arXiv.org, revised Dec 2018.
    3. Victor Chernozhukov & Ivan Fernandez-Val & Martin Weidner, 2020. "Network and Panel Quantile Effects Via Distribution Regression," CeMMAP working papers CWP27/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    4. de Groot, Oliver & Hauptmeier, Sebastian & Holm-Hadulla, Fédéric & Nikalexi, Katerina, 2020. "Monetary policy and regional inequality," Working Paper Series 2385, European Central Bank.
    5. Paolo Frumento & Matteo Bottai & Iv'an Fern'andez-Val, 2020. "Parametric Modeling of Quantile Regression Coefficient Functions with Longitudinal Data," Papers 2006.00160, arXiv.org.
    6. Geert Dhaene & Koen Jochmans, 2011. "Profile-score Adjustements for Nonlinearfixed-effect Models," SciencePo Working papers Main hal-01073733, HAL.
    7. Arturas Juodis & Simon Reese, 2018. "The Incidental Parameters Problem in Testing for Remaining Cross-section Correlation," Papers 1810.03715, arXiv.org, revised Feb 2021.
    8. Ghazala Aziz & Suleman Sarwar, 2023. "Empirical Evidence of Environmental Technologies, Renewable Energy and Tourism to Minimize the Environmental Damages: Implication of Advanced Panel Analysis," IJERPH, MDPI, vol. 20(6), pages 1-20, March.
    9. Michael L. Polemis, 2020. "A note on the estimation of competition-productivity nexus: a panel quantile approach," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(4), pages 663-676, December.
    10. David W. Hughes, 2021. "Estimating Nonlinear Network Data Models with Fixed Effects," Boston College Working Papers in Economics 1058, Boston College Department of Economics.
    11. Marwa Elsherif, 2024. "Nexus between Blue Economy, Renewable Energy and Environmental Sustainability in the MENA Region: Evidence from Panel Threshold Regression," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 169-185, July.
    12. Alexander Chudik & M. Hashem Pesaran & Ron P. Smith, 2021. "Pooled Bewley Estimator of Long-Run Relationships in Dynamic Heterogenous Panels," Globalization Institute Working Papers 409, Federal Reserve Bank of Dallas, revised 08 Nov 2023.
    13. Alexander Chudik & M. Hashem Pesaran, 2018. "Mean Group Estimation in Presence of Weakly Cross-Correlated Estimators," Globalization Institute Working Papers 349, Federal Reserve Bank of Dallas.
    14. Ivan Fernandez-Val & Martin Weidner, 2018. "Fixed effect estimation of large T panel data models," CeMMAP working papers CWP22/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    15. Pauly, Stefan & Stipanicic, Fernando, 2021. "The creation and diffusion of knowledge: Evidence from the Jet Age," CEPREMAP Working Papers (Docweb) 2112, CEPREMAP.
    16. Ryo Okui, 2017. "Misspecification in Dynamic Panel Data Models and Model-Free Inferences," The Japanese Economic Review, Springer, vol. 68(3), pages 283-304, September.
    17. Liang Chen & Yulong Huo, 2019. "A Simple Estimator for Quantile Panel Data Models Using Smoothed Quantile Regressions," Papers 1911.04729, arXiv.org.
    18. Martin Weidner & Thomas Zylkin, 2021. "Bias and consistency in three-way gravity models," CeMMAP working papers CWP11/21, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    19. Liu, Ruiqi & Shang, Zuofeng & Zhang, Yonghui & Zhou, Qiankun, 2020. "Identification and estimation in panel models with overspecified number of groups," Journal of Econometrics, Elsevier, vol. 215(2), pages 574-590.
    20. Freeman, Hugo & Weidner, Martin, 2023. "Linear panel regressions with two-way unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 237(1).
    21. Chengwang Liao & Ziwei Mei & Zhentao Shi, 2024. "Nickell Meets Stambaugh: A Tale of Two Biases in Panel Predictive Regressions," Papers 2410.09825, arXiv.org.
    22. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers 45/13, Institute for Fiscal Studies.
    23. Alexander Chudik & M. Hashem Pesaran, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," CESifo Working Paper Series 4232, CESifo.
    24. Jochmans, Koen & Weidner, Martin, 2021. "Inference On A Distribution From Noisy Draws," TSE Working Papers 21-1275, Toulouse School of Economics (TSE).
    25. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.
    26. Okumus, İlyas & Guzel, Arif Eser & Destek, Mehmet Akif, 2021. "Renewable, Non-renewable Energy Consumption and Economic Growth Nexus in G7: Fresh Evidence from CS-ARDL," MPRA Paper 114136, University Library of Munich, Germany.
    27. Hospido, Laura, 2015. "Wage dynamics in the presence of unobserved individual and job heterogeneity," Labour Economics, Elsevier, vol. 33(C), pages 81-93.
    28. W. Robert Reed & Min Zhu, 2015. "On Estimating Long-Run Effects in Models with Lagged Dependent Variables," Working Papers in Economics 15/18, University of Canterbury, Department of Economics and Finance.
    29. Abida Naurin & Panayiotis M. Pourpourides, 2023. "On the causality between household and government spending on education: evidence from a panel of 40 countries," Empirical Economics, Springer, vol. 65(2), pages 567-585, August.
    30. Wang, Wuyi & Su, Liangjun, 2017. "Identifying Latent Group Structures in Nonlinear Panels," Economics and Statistics Working Papers 19-2017, Singapore Management University, School of Economics.
    31. Juodis, Artūras & Karabiyik, Hande & Westerlund, Joakim, 2021. "On the robustness of the pooled CCE estimator," Journal of Econometrics, Elsevier, vol. 220(2), pages 325-348.
    32. Okui, Ryo & Yanagi, Takahide, 2019. "Panel data analysis with heterogeneous dynamics," Journal of Econometrics, Elsevier, vol. 212(2), pages 451-475.
    33. Jungmo Yoon & Antonio F. Galvao, 2020. "Cluster robust covariance matrix estimation in panel quantile regression with individual fixed effects," Quantitative Economics, Econometric Society, vol. 11(2), pages 579-608, May.
    34. Giuseppe Cavaliere & S'ilvia Gonc{c}alves & Morten {O}rregaard Nielsen & Edoardo Zanelli, 2022. "Bootstrap inference in the presence of bias," Papers 2208.02028, arXiv.org, revised Nov 2023.
    35. Hyungsik Roger Roger Moon & Martin Weidner, 2014. "Linear regression for panel with unknown number of factors as interactive fixed effects," CeMMAP working papers 35/14, Institute for Fiscal Studies.
    36. Arturas Juodis & Yiannis Karavias & Vasilis Sarafidis, 2020. "A Homogeneous Approach to Testing for Granger Non-Causality in Heterogeneous Panels," Monash Econometrics and Business Statistics Working Papers 32/20, Monash University, Department of Econometrics and Business Statistics.
    37. Vasco Gabriel, 2021. "Institutional Arrangements and Inflation Bias: A Dynamic Heterogeneous Panel Approach," Working Papers w202106, Banco de Portugal, Economics and Research Department.
    38. Fernández-Val, Iván & Vella, Francis, 2007. "Bias Corrections for Two-Step Fixed Effects Panel Data Estimators," IZA Discussion Papers 2690, Institute of Labor Economics (IZA).
    39. Hyungsik Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers CWP63/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    40. Liang Chen, 2019. "Nonparametric Quantile Regressions for Panel Data Models with Large T," Papers 1911.01824, arXiv.org, revised Sep 2020.
    41. Francesco Fallucchi & Andrea Mercatanti & Jan Niederreiter, 2021. "Identifying types in contest experiments," International Journal of Game Theory, Springer;Game Theory Society, vol. 50(1), pages 39-61, March.
    42. Laura Hospido, 2007. "Modelling Heterogeneity and Dynamics in the Volatility of Individual Wages," Working Papers wp2007_0717, CEMFI.
    43. Nwani, Chinazaekpere & Usman, Ojonugwa & Okere, Kingsley Ikechukwu & Bekun, Festus Victor, 2023. "Technological pathways to decarbonisation and the role of renewable energy: A study of European countries using consumption-based metrics," Resources Policy, Elsevier, vol. 83(C).
    44. Sun, Yixiao & Kim, Min Seong, 2009. "k-step Bootstrap Bias Correction for Fixed Effects Estimators in Nonlinear Panel Models," University of California at San Diego, Economics Working Paper Series qt9gn6n5mr, Department of Economics, UC San Diego.
    45. Koen Jochmans & Vincenzo Verardi, 2022. "Instrumental-Variable Estimation Of Exponential Regression Models With Two-Way Fixed Effects With An Application To Gravity Equations," Post-Print hal-03818773, HAL.
    46. Spyridon Boikos & Theodore Panagiotidis & Georgios Voucharas, 2021. "Financial Development, Reforms and Growth," Bank of Lithuania Working Paper Series 98, Bank of Lithuania.
    47. Dubois, Pierre & Griffith, Rachel & O'Connell, Martin, 2017. "How well targeted are soda taxes?," CEPR Discussion Papers 12484, C.E.P.R. Discussion Papers.
    48. Francesco Bartolucci & Francesco Valentini & Claudia Pigini, 2023. "Recursive Computation of the Conditional Probability Function of the Quadratic Exponential Model for Binary Panel Data," Computational Economics, Springer;Society for Computational Economics, vol. 61(2), pages 529-557, February.
    49. Mario Cruz-Gonzalez & Ivan Fernandez-Val & Martin Weidner, 2016. "probitfe and logitfe: Bias corrections for probit and logit models with two-way fixed effects," Papers 1610.07714, arXiv.org, revised Feb 2017.
    50. Koen Jochmans, 2022. "Bias in instrumental-variable estimators of fixed-effect models for count data," Post-Print hal-03699836, HAL.
    51. Wen, Jun & Mughal, Nafeesa & Kashif, Maryam & Jain, Vipin & Ramos Meza, Carlos Samuel & Cong, Phan The, 2022. "Volatility in natural resources prices and economic performance: Evidence from BRICS economies," Resources Policy, Elsevier, vol. 75(C).
    52. Galina Besstremyannaya & Sergei Golovan, 2023. "Measuring heterogeneity in hospital productivity: a quantile regression approach," Journal of Productivity Analysis, Springer, vol. 59(1), pages 15-43, February.
    53. Ryo Okui & Takahide Yanagi, 2018. "Kernel Estimation for Panel Data with Heterogeneous Dynamics," Papers 1802.08825, arXiv.org, revised May 2019.
    54. Hugo Freeman & Martin Weidner, 2021. "Linear Panel Regressions with Two-Way Unobserved Heterogeneity," Papers 2109.11911, arXiv.org, revised Aug 2022.
    55. Jiti Gao & Fei Liu & Bin Peng & Yayi Yan, 2020. "Binary Response Models for Heterogeneous Panel Data with Interactive Fixed Effects," Papers 2012.03182, arXiv.org, revised Nov 2021.
    56. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Post-Print hal-03391995, HAL.
    57. Bartolucci, Francesco & Pigini, Claudia, 2019. "Partial effects estimation for fixed-effects logit panel data models," MPRA Paper 92243, University Library of Munich, Germany.
    58. Galvao, Antonio F. & Kato, Kengo, 2016. "Smoothed quantile regression for panel data," Journal of Econometrics, Elsevier, vol. 193(1), pages 92-112.
    59. Alexander Chudik & M. Hashem Pesaran & Jui‐Chung Yang, 2018. "Half‐panel jackknife fixed‐effects estimation of linear panels with weakly exogenous regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(6), pages 816-836, September.
    60. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
    61. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2021. "Integrated likelihood based inference for nonlinear panel data models with unobserved effects," Journal of Econometrics, Elsevier, vol. 223(1), pages 73-95.
    62. Jochmans, Koen, 2024. "Modified-likelihood estimation of fixed-effect models for dyadic data," TSE Working Papers 24-1502, Toulouse School of Economics (TSE).
    63. Talan, Amogh & Rao, Amar & Sharma, Gagan Deep & Apostu, Simona-Andreea & Abbas, Shujaat, 2023. "Transition towards clean energy consumption in G7: Can financial sector, ICT and democracy help?," Resources Policy, Elsevier, vol. 82(C).
    64. Jean-Jacques Forneron, 2022. "Estimation and Inference by Stochastic Optimization," Papers 2205.03254, arXiv.org.
    65. Patrick Kline & Raffaele Saggio & Mikkel S{o}lvsten, 2018. "Leave-out estimation of variance components," Papers 1806.01494, arXiv.org, revised Aug 2019.
    66. Mingyang Li & Linlin Niu & Andrew Pua, 2020. "Market Pricing of Fundamentals at the Shanghai Stock Exchange: Evidence from a Dividend Discount Model with Adaptive Expectations," Working Papers 2020-12-30, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
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    124. Asif Tariq & Aadil Amin & Masroor Ahmad, 2024. "Deciphering the non-linear nexus between government size and inflation in MENA countries: an application of dynamic-panel threshold model," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 13(1), pages 1-20, December.
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    128. Jia Chen Author-Name-First: Jia & Yongcheol Shin & Chaowen Zheng, 2023. "Dynamic Quantile Panel Data Models with Interactive Effects," Economics Discussion Papers em-dp2023-06, Department of Economics, University of Reading.
    129. Hyungsik Roger Roger Moon & Martin Weidner, 2013. "Dynamic linear panel regression models with interactive fixed effects," CeMMAP working papers 63/13, Institute for Fiscal Studies.
    130. Stefan Pauly & Fernando Stipanicic, 2022. "The Creation and Diffusion of Knowledge: Evidence from the Jet Age," SciencePo Working papers Main hal-04067326, HAL.
    131. Lu, Xun & Su, Liangjun, 2023. "Uniform inference in linear panel data models with two-dimensional heterogeneity," Journal of Econometrics, Elsevier, vol. 235(2), pages 694-719.
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    135. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
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  11. Dhaene, Geert & Santos Silva, Joao M C, 2008. "Specification and Testing of Models Estimated by Quadrature," Economics Discussion Papers 3549, University of Essex, Department of Economics.

    Cited by:

    1. White-Means, Shelley I. & Osmani, Ahmad Reshad, 2018. "Affordable Care Act and Disparities in Health Services Utilization among Ethnic Minoritiy Breast Cancer Survivors: Evidence from Longitudinal Medical Expenditure Panel Surveys 2008-2015," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 15(9), pages 1-26.
    2. Helmut Farbmacher, 2013. "Extensions Of Hurdle Models For Overdispersed Count Data," Health Economics, John Wiley & Sons, Ltd., vol. 22(11), pages 1398-1404, November.

  12. Geert Dhaene & Jan Bouckaert, 2007. "Sequential reciprocity in two-player, two-stages games: an experimental analysis," Working Papers of Department of Economics, Leuven ces0717, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

    Cited by:

    1. Gupta, Gautam & Mahmud, Minhaj & Maitra, Pushkar & Mitra, Santanu & Neelim, Ananta, 2018. "Religion, minority status, and trust: Evidence from a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 146(C), pages 180-205.
    2. König, Clemens, 2013. "Net-Loss Reciprocation and the Context Dependency of Economic Choices," Discussion Papers in Economics 17474, University of Munich, Department of Economics.
    3. Blanco, Mariana & Engelmann, Dirk & Koch, Alexander K. & Normann, Hans-Theo, 2014. "Preferences and beliefs in a sequential social dilemma: a within-subjects analysis," Games and Economic Behavior, Elsevier, vol. 87(C), pages 122-135.
    4. Utteeyo Dasgupta & Wafa Hakim Orman, 2014. "Does Heterogeneity Help in Overcoming the Public Goods Dilemma in a Sequential Contribution Environment?," Group Decision and Negotiation, Springer, vol. 23(5), pages 1219-1239, September.
    5. Garret Ridinger, 2021. "Intentions versus Outcomes: Cooperation and Fairness in a Sequential Prisoner’s Dilemma with Nature," Games, MDPI, vol. 12(3), pages 1-30, July.
    6. Dang, Jr-Fong & Hong, I-Hsuan, 2013. "The equilibrium quantity and production strategy in a fuzzy random decision environment: Game approach and case study in glass substrates industries," International Journal of Production Economics, Elsevier, vol. 145(2), pages 724-732.
    7. Pierpaolo Battigalli & Martin Dufwenberg, 2022. "Belief-Dependent Motivations and Psychological Game Theory," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 833-882, September.
    8. Charles Bellemare & Alexander Sebald, 2011. "Learning about a Class of Belief-Dependent Preferences without Information on Beliefs," Cahiers de recherche 1125, CIRPEE.
    9. Sohn, Jin-yeong & Jang, Dooseok, 2024. "On the effectiveness of leading by example in public goods games," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 266-281.
    10. Janna Hinz & Andreas Nicklisch & Mey-Ling Sommer, 2024. "Reciprocity models revisited: intention factors and reference values," International Journal of Game Theory, Springer;Game Theory Society, vol. 53(2), pages 299-324, June.
    11. Bellemare, Charles & Kröger, Sabine & van Soest, Arthur, 2011. "Preferences, intentions, and expectation violations: A large-scale experiment with a representative subject pool," Journal of Economic Behavior & Organization, Elsevier, vol. 78(3), pages 349-365, May.
    12. Hinz, Janna & Nicklisch, Andreas, 2015. "Reciprocity Models Revisitedː Intention Factors and Reference Values," WiSo-HH Working Paper Series 25, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.

  13. Geert Dhaene & Olivier Vergote, 2003. "Asymptotic Results for GMM Estimators of Stochastic Volatility Models," Working Papers of Department of Economics, Leuven ces0306, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

    Cited by:

    1. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    2. Tsyplakov, Alexander, 2010. "Revealing the arcane: an introduction to the art of stochastic volatility models," MPRA Paper 25511, University Library of Munich, Germany.
    3. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2005. "Volatility forecasting," CFS Working Paper Series 2005/08, Center for Financial Studies (CFS).
    4. Maddalena Cavicchioli, 2017. "Estimation and asymptotic covariance matrix for stochastic volatility models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(3), pages 437-452, August.

  14. Christophe Croux & Geert Dhaene & Dirk Hoorelbeke, 2003. "Robust Standard Errors for Robust Estimators," Working Papers of Department of Economics, Leuven ces0316, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

    Cited by:

    1. Robert Finger, 2010. "Revisiting the Evaluation of Robust Regression Techniques for Crop Yield Data Detrending," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(1), pages 205-211.
    2. Hagen, Tobias, 2013. "Impact of national financial regulation on macroeconomic and fiscal performance after the 2007 financial shock: Econometric analyses based on cross-country data," Economics Discussion Papers 2013-26, Kiel Institute for the World Economy (IfW Kiel).
    3. Hagen, Tobias, 2013. "Impact of national financial regulation on macroeconomic and fiscal performance after the 2007 financial stock: Econometric analyses based on cross-country data," Working Paper Series 02, Frankfurt University of Applied Sciences, Faculty of Business and Law.
    4. Andreas Alfons & Wolfgang Baaske & Peter Filzmoser & Wolfgang Mader & Roland Wieser, 2011. "Robust variable selection with application to quality of life research," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 20(1), pages 65-82, March.
    5. Matías Salibián-Barrera & Stefan Aelst & Gert Willems, 2008. "Fast and robust bootstrap," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(1), pages 41-71, February.
    6. Catherine Dehon & Marjorie Gassner & Vincenzo Verardi, 2012. "Extending the Hausman Test to Check for the presence of Outliers," ULB Institutional Repository 2013/276923, ULB -- Universite Libre de Bruxelles.
    7. Marek Omelka & Matías Salibián-Barrera, 2010. "Uniform asymptotics for S- and MM-regression estimators," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(5), pages 897-927, October.
    8. Rodolphe Desbordes & Vincenzo Verardi, 2011. "The Positive Causal Impact of Foreign Direct Investment on Productivity: A Not So Typical Relationship," Working Papers 1106, University of Strathclyde Business School, Department of Economics.

  15. Geert Dhaene & Dirk Hoorelbeke, 2002. "The Information Matrix Test with Bootstrap-Based Covariance Matrix Estimation," Working Papers of Department of Economics, Leuven ces0211, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven.

    Cited by:

    1. Sung Y. Park & Anil K. Bera, 2018. "Information theoretic approaches to income density estimation with an application to the U.S. income data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 16(4), pages 461-486, December.
    2. Cho, Jin Seo & Phillips, Peter C.B., 2018. "Pythagorean generalization of testing the equality of two symmetric positive definite matrices," Journal of Econometrics, Elsevier, vol. 202(1), pages 45-56.
    3. Maxwell King & Xibin Zhang & Muhammad Akram, 2019. "Hypothesis Testing Based on a Vector of Statistics," Monash Econometrics and Business Statistics Working Papers 30/19, Monash University, Department of Econometrics and Business Statistics.
    4. Qian M. Zhou, 2024. "Information matrix equivalence in the presence of censoring: a goodness-of-fit test for semiparametric copula models with multivariate survival data," Statistical Papers, Springer, vol. 65(7), pages 4677-4713, September.
    5. K. Chua & S. Ong, 2013. "Test of misspecification with application to negative binomial distribution," Computational Statistics, Springer, vol. 28(3), pages 993-1009, June.
    6. Daisuke Nagakura, 2008. "A note on the relationship between the information matrx test and a score test for parameter constancy," Economics Bulletin, AccessEcon, vol. 3(5), pages 1-7.
    7. Park, Sung Y. & Bera, Anil K., 2009. "Maximum entropy autoregressive conditional heteroskedasticity model," Journal of Econometrics, Elsevier, vol. 150(2), pages 219-230, June.
    8. Dirk Hoorelbeke, 2004. "Bootstrap correcting the score test," Econometric Society 2004 North American Summer Meetings 228, Econometric Society.
    9. Richard M. Golden & Steven S. Henley & Halbert White & T. Michael Kashner, 2016. "Generalized Information Matrix Tests for Detecting Model Misspecification," Econometrics, MDPI, vol. 4(4), pages 1-24, November.

  16. BOUCKAERT, Jan & DHAENE, Geert, 2002. "Inter-ethnic trust and reciprocity: Results of an experiment with small business entrepreneurs," Working Papers 2002022, University of Antwerp, Faculty of Business and Economics.

    Cited by:

    1. Lisa Anderson & Jennifer Mellor & Jeffrey Milyo, 2006. "Induced heterogeneity in trust experiments," Experimental Economics, Springer;Economic Science Association, vol. 9(3), pages 223-235, September.
    2. D. Van den Poel, 2003. "Predicting Mail-Order Repeat Buying. Which Variables Matter?," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 371-404.
    3. Fershtman, Chaim & Verboven, Frank & Gneezy, Uri, 2002. "Discrimination and Nepotism: The Efficiency of the Anonymity Rule," CEPR Discussion Papers 3175, C.E.P.R. Discussion Papers.
    4. Jeffrey Milyo & Jennifer M. Mellor & Lisa R. Anderson, 2005. "An Experimental Study of the Effects of Inequality and Relative Deprivation on Trusting Behavior," Working Papers 0502, Department of Economics, University of Missouri.
    5. Fijnanda van Klingeren, 2020. "Playing nice in the sandbox: On the role of heterogeneity, trust and cooperation in common-pool resources," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-36, August.
    6. Eckel, Catherine & Gintis, Herbert, 2010. "Blaming the messenger: Notes on the current state of experimental economics," Journal of Economic Behavior & Organization, Elsevier, vol. 73(1), pages 109-119, January.

  17. Geert Dhaene & Olivier Scaillet, 2000. "Reversed Score and Likelihood Ratio Tests," Econometric Society World Congress 2000 Contributed Papers 1746, Econometric Society.

    Cited by:

    1. D. Van den Poel, 2003. "Predicting Mail-Order Repeat Buying. Which Variables Matter?," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 371-404.
    2. M. Neyt & J. Albrecht & B. Clarysse & V. Cocquyt, 2003. "The Cost-Effectiveness of Herceptin® in a Standard Cost Model for Breast-Cancer Treatment in a Belgian University Hospital," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 03/180, Ghent University, Faculty of Economics and Business Administration.

  18. Andrew Chesher & Geert Dhaene & Christian Gourieroux & Olivier Scaillet, 1999. "Bartlett Identities Tests," Working Papers 99-32, Center for Research in Economics and Statistics.

    Cited by:

    1. Marcelo Fernandes & Joachim Grammig, 2000. "Non-Parametric Specification Tests For Conditional Duration Models," Computing in Economics and Finance 2000 40, Society for Computational Economics.
    2. J.L. Prigent & O. Renault & O. Scaillet., 1999. "Option pricing with discrete rebalancing," THEMA Working Papers 99-41, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Chen, Yi-Ting, 2012. "A simple approach to standardized-residuals-based higher-moment tests," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 427-453.

  19. Dhaene, G. & Barten, A.P., 1990. "When it all began : The 1936 Tinbergen model revisited," Other publications TiSEM d94b2fd5-4ff2-4bb5-9620-d, Tilburg University, School of Economics and Management.

    Cited by:

    1. Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge & Wieland, Volker, 2017. "Model uncertainty in macroeconomics: On the implications of financial frictions," IMFS Working Paper Series 114, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    2. Tony Hall & Jan Jacobs & Adrian Pagan, 2013. "Macro-Econometric System Modelling @75," CAMA Working Papers 2013-67, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Stanislav E. Shmelev & Robert U. Ayres, 2021. "On the Creation and Destruction of National Wealth: Are Financial Collapses Endogenous?," Sustainability, MDPI, vol. 13(13), pages 1-22, June.
    4. van der Ploeg, F. & de Zeeuw, A.J., 1992. "A differential game of international pollution control," Other publications TiSEM 63432fbc-f558-422b-93d9-4, Tilburg University, School of Economics and Management.
    5. David F. Hendry, 2020. "A Short History of Macro-econometric Modelling," Economics Papers 2020-W01, Economics Group, Nuffield College, University of Oxford.
    6. Thomas Fullerton, 1998. "Border region commercial electricity demand," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 4(4), pages 441-447, November.
    7. van der Ploeg, F., 1990. "Towards monetary integration in Europe," Other publications TiSEM 37eede87-4c89-404f-81a4-6, Tilburg University, School of Economics and Management.
    8. Malliet, Paul & Reynès, Frédéric G., 2022. "Empirical estimates of the elasticity of substitution of a KLEM production function without nesting constraints: The case of the Variable Output Elasticity-Cobb Douglas," Conference papers 333423, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

Articles

  1. Geert Dhaene & Piet Sercu & Jianbin Wu, 2022. "Volatility spillovers: A sparse multivariate GARCH approach with an application to commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(5), pages 868-887, May.

    Cited by:

    1. Jing Hao & Feng He & Feng Ma & Tong Fu, 2023. "Trading around the clock: Revisit volatility spillover between crude oil and equity markets in different trading sessions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 771-791, June.

  2. Dhaene, Geert & Sun, Yutao, 2021. "Second-order corrected likelihood for nonlinear panel models with fixed effects," Journal of Econometrics, Elsevier, vol. 220(2), pages 227-252.

    Cited by:

    1. Schumann, Martin & Severini, Thomas A. & Tripathi, Gautam, 2023. "The role of score and information bias in panel data likelihoods," Journal of Econometrics, Elsevier, vol. 235(2), pages 1215-1238.
    2. Francesco Bartolucci & Claudia Pigini & Francesco Valentini, 2023. "Conditional inference and bias reduction for partial effects estimation of fixed-effects logit models," Empirical Economics, Springer, vol. 64(5), pages 2257-2290, May.
    3. Xuan Leng & Jiaming Mao & Yutao Sun, 2023. "Debiased Inference for Dynamic Nonlinear Panels with Multi-dimensional Heterogeneities," Papers 2305.03134, arXiv.org, revised Nov 2024.
    4. Shobande, Olatunji A. & Ogbeifun, Lawrence, 2023. "Pooling cross-sectional and time series data for estimating causality between technological innovation, affluence and carbon dynamics: A comparative evidence from developed and developing countries," Technological Forecasting and Social Change, Elsevier, vol. 187(C).

  3. Dhaene, Geert & Wu, Jianbin, 2020. "Incorporating overnight and intraday returns into multivariate GARCH volatility models," Journal of Econometrics, Elsevier, vol. 217(2), pages 471-495.

    Cited by:

    1. Maghyereh, Aktham & Awartani, Basel & Virk, Nader S., 2022. "Asymmetric risk transmissions between oil, gold and US equities: Recent evidence from the realized variance of the futures prices," Resources Policy, Elsevier, vol. 79(C).
    2. Fang Liang & Lingshan Du & Zhuo Huang, 2023. "Option pricing with overnight and intraday volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1576-1614, November.
    3. Jin, Jiayu & Han, Liyan & Xu, Yang, 2022. "Does the SDR stabilize investing in commodities?," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 160-172.
    4. Mohammad Al-Shboul & Aktham Maghyereh, 2023. "Did real economic uncertainty drive risk connectedness in the oil–stock nexus during the COVID-19 outbreak? A partial wavelet coherence analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-23, December.
    5. Nagaraj Naik & Biju R. Mohan, 2021. "Stock Price Volatility Estimation Using Regime Switching Technique-Empirical Study on the Indian Stock Market," Mathematics, MDPI, vol. 9(14), pages 1-18, July.
    6. Maghyereh, Aktham & Awartani, Basel & Abdoh, Hussein, 2022. "Asymmetric risk transfer in global equity markets: An extended sample that includes the COVID pandemic period," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).

  4. Yutao Sun & Geert Dhaene, 2019. "xtspj: A command for split-panel jackknife estimation," Stata Journal, StataCorp LP, vol. 19(2), pages 335-374, June.

    Cited by:

    1. Livio Di Matteo & Robert Petrunia, 2022. "Does economic inequality breed murder? An empirical investigation of the relationship between economic inequality and homicide rates in Canadian provinces and CMAs," Empirical Economics, Springer, vol. 62(6), pages 2951-2988, June.

  5. Dhaene, Geert & Zhu, Yu, 2017. "Median-based estimation of dynamic panel models with fixed effects," Computational Statistics & Data Analysis, Elsevier, vol. 113(C), pages 398-423.

    Cited by:

    1. Boudt, Kris & Heyndels, Ewoud, 2024. "Robust interactive fixed effects," Econometrics and Statistics, Elsevier, vol. 29(C), pages 206-223.
    2. Cizek, P. & Aquaro, M., 2015. "Robust Estimation and Moment Selection in Dynamic Fixed-effects Panel Data Models," Other publications TiSEM 39d0f613-007f-4d21-b1e2-b, Tilburg University, School of Economics and Management.

  6. Dhaene, Geert & Jochmans, Koen, 2016. "Bias-corrected estimation of panel vector autoregressions," Economics Letters, Elsevier, vol. 145(C), pages 98-103.
    See citations under working paper version above.
  7. Dhaene, Geert & Jochmans, Koen, 2016. "Likelihood Inference In An Autoregression With Fixed Effects," Econometric Theory, Cambridge University Press, vol. 32(5), pages 1178-1215, October.
    See citations under working paper version above.
  8. De Moor, Lieven & Dhaene, Geert & Sercu, Piet, 2015. "On comparing zero-alpha tests across multifactor asset pricing models," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 235-240.

    Cited by:

    1. Francisco Barillas & Jay Shanken, 2018. "Comparing Asset Pricing Models," Journal of Finance, American Finance Association, vol. 73(2), pages 715-754, April.
    2. Zhongzhi Lawrence He, 2018. "Comparing Asset Pricing Models: Distance-based Metrics and Bayesian Interpretations," Papers 1803.01389, arXiv.org.

  9. Geert Dhaene & Koen Jochmans, 2015. "Split-panel Jackknife Estimation of Fixed-effect Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(3), pages 991-1030.
    See citations under working paper version above.
  10. Rembert De Blander & Geert Dhaene, 2012. "Unit root tests for panel data with AR(1) errors and small T," Econometrics Journal, Royal Economic Society, vol. 15(1), pages 101-124, February.

    Cited by:

    1. In Choi, 2014. "Unit root tests for dependent and heterogeneous micropanels," Working Papers 1404, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    2. Katharina van Treeck, 2020. "Measuring the Labor Income Share of Developing Countries: Lessons From Social Accounting Matrices," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 584-612, September.
    3. Sevrin Waights, 2018. "Does the law of one price hold for hedonic prices?," Urban Studies, Urban Studies Journal Limited, vol. 55(15), pages 3299-3317, November.
    4. Karavias, Yiannis & Tzavalis, Elias, 2014. "A fixed-T version of Breitung’s panel data unit root test," Economics Letters, Elsevier, vol. 124(1), pages 83-87.
    5. Yiannis Karavias & Elias Tzavalis, 2012. "The local power of fixed-T panel unit root tests allowing for serially correlated errors," Discussion Papers 12/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    6. Yiannis Karavias & Elias Tzavalis, 2014. "A fixed-T version of Breitung's panel data unit root test and its asymptotic local power," Discussion Papers 14/02, University of Nottingham, Granger Centre for Time Series Econometrics.
    7. Joanna Wolszczak-Derlacz & Rembert De Blander, 2009. "Price convergence in the European Union and in the New Member States," Bank i Kredyt, Narodowy Bank Polski, vol. 40(2), pages 37-59.
    8. In Choi, 2019. "Unit Root Tests for Dependent Micropanels," The Japanese Economic Review, Japanese Economic Association, vol. 70(2), pages 145-167, June.
    9. Issa, Samah & Girardone, Claudia & Snaith, Stuart, 2022. "Banking competition, convergence and growth across macro-regions of MENA," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 534-549.
    10. Robertson, Donald & Sarafidis, Vasilis & Westerlund, Joakim, 2014. "GMM Unit Root Inference in Generally Trending and Cross-Correlated Dynamic Panels," MPRA Paper 53419, University Library of Munich, Germany.
    11. Karavias, Yiannis & Tzavalis, Elias, 2012. "On the Local Power of Fixed T Panel Unit Root Tests with Serially Correlated Errors," MPRA Paper 43131, University Library of Munich, Germany.
    12. Katharina Trapp, 2015. "Measuring the Labour Income Share of Developing Countries: Learning from Social Accounting Matrices," WIDER Working Paper Series wp-2015-041, World Institute for Development Economic Research (UNU-WIDER).
    13. Joanna Wolszczak-Derlacz, 2008. "Price convergence in the EU—an aggregate and disaggregate approach," International Economics and Economic Policy, Springer, vol. 5(1), pages 25-47, July.
    14. Karavias, Yiannis & Tzavalis, Elias, 2014. "Testing for unit roots in short panels allowing for a structural break," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 391-407.
    15. Yiannis Karavias & Elias Tzavalis, 2014. "Testing for unit roots in panels with structural changes, spatial and temporal dependence when the time dimension is finite," Discussion Papers 14/03, University of Nottingham, Granger Centre for Time Series Econometrics.
    16. Sinha, Pankaj & Arora, Varun & Bansal, Vishakha, 2011. "Determinants of Public Debt for middle income and high income group countries using Panel Data regression," MPRA Paper 32079, University Library of Munich, Germany.
    17. Josep Lluís Carrion‐i‐Silvestre & Kaddour Hadri, 2010. "Panel Data Unit Root Test With Fixed Time Dimension," Bulletin of Economic Research, Wiley Blackwell, vol. 62(3), pages 269-277, July.

  11. Geert Dhaene & J. M. C. Santos Silva, 2012. "Specification and testing of models estimated by quadrature," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(2), pages 322-332, March.
    See citations under working paper version above.
  12. Dhaene, Geert & Bouckaert, Jan, 2010. "Sequential reciprocity in two-player, two-stage games: An experimental analysis," Games and Economic Behavior, Elsevier, vol. 70(2), pages 289-303, November.
    See citations under working paper version above.
  13. Cédric de Ville de Goyet & Geert Dhaene & Piet Sercu, 2008. "Testing the martingale hypothesis for futures prices: Implications for hedgers," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(11), pages 1040-1065, November.

    Cited by:

    1. Smimou, K., 2017. "Does gold Liquidity learn from the greenback or the equity?," Research in International Business and Finance, Elsevier, vol. 41(C), pages 461-479.
    2. Barbi, Massimiliano & Romagnoli, Silvia, 2018. "Skewness, basis risk, and optimal futures demand," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 14-29.
    3. Mun, Kyung-Chun, 2016. "Hedging bank market risk with futures and forwards," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 112-125.
    4. Ching-Ping Wang & Hung-Hsi Huang & Chien-Chia Hung, 2011. "Implied Index And Option Pricing Errors: Evidence From The Taiwan Option Market," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 5(2), pages 115-125.
    5. John Cotter & Jim Hanly, 2014. "Performance of Utility Based Hedges," Working Papers 201404, Geary Institute, University College Dublin.
    6. Spencer, Simon & Bredin, Don & Conlon, Thomas, 2018. "Energy and agricultural commodities revealed through hedging characteristics: Evidence from developing and mature markets," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 1-20.

  14. Chesher, Andrew & Dhaene, Geert & van Dijk, Herman, 2007. "Endogeneity, instruments and identification," Journal of Econometrics, Elsevier, vol. 139(1), pages 1-3, July.

    Cited by:

    1. Poskitt, D.S. & Skeels, C.L., 2008. "Conceptual frameworks and experimental design in simultaneous equations," Economics Letters, Elsevier, vol. 100(1), pages 138-142, July.
    2. Lin, Ching-Chung & Yang, Shou-Lin, 2016. "Bank fundamentals, economic conditions, and bank failures in East Asian countries," Economic Modelling, Elsevier, vol. 52(PB), pages 960-966.

  15. Dhaene, G., 2004. "03.1.2. Redundancy of Lagged Regressors in a Conditionally Heteroskedastic Time Series Regression—Solution," Econometric Theory, Cambridge University Press, vol. 20(1), pages 227-227, February.

    Cited by:

    1. Stanislav Anatolyev, 2005. "Optimal Instruments in Time Series: A Survey," Working Papers w0069, Center for Economic and Financial Research (CEFIR).

  16. Bouckaert, Jan & Dhaene, Geert, 2004. "Inter-ethnic trust and reciprocity: results of an experiment with small businessmen," European Journal of Political Economy, Elsevier, vol. 20(4), pages 869-886, November.

    Cited by:

    1. Burns, Justine & Keswell, Malcolm, 2015. "Diversity and the provision of public goods: Experimental evidence from South Africa," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 110-122.
    2. Burns, Justine, 2012. "Race, diversity and pro-social behavior in a segmented society," Journal of Economic Behavior & Organization, Elsevier, vol. 81(2), pages 366-378.
    3. Akai, Kenju & Netzer, Robert Jiro, 2012. "Trust and reciprocity among international groups: Experimental evidence from Austria and Japan," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(2), pages 266-276.
    4. Masahiro Shoji, 2018. "Religious Fractionalisation and Crimes in Disaster-Affected Communities: Survey Evidence from Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 54(10), pages 1891-1911, October.
    5. Hugh Jones, David & Leroch, Martin A, 2011. "Reciprocity towards Groups," CAGE Online Working Paper Series 52, Competitive Advantage in the Global Economy (CAGE).
    6. Falk, Armin & Zehnder, Christian, 2013. "A city-wide experiment on trust discrimination," Journal of Public Economics, Elsevier, vol. 100(C), pages 15-27.
    7. Jiang, Jiang & Li, Sherry Xin, 2019. "Group identity and partnership," Journal of Economic Behavior & Organization, Elsevier, vol. 160(C), pages 202-213.
    8. Jeworrek, Sabrina & Leisen, Bernd Josef & Mertins, Vanessa, 2020. "Gift-exchange in society and the social integration of refugees: Evidence from a field, a laboratory, and a survey experiment," IWH Discussion Papers 17/2019, Halle Institute for Economic Research (IWH), revised 2020.
    9. Daniel Ji & Pablo Guillen, 2010. "Trust, discrimination and acculturation Experimental evidence on Asian international and Australian domestic university students," ThE Papers 09/12, Department of Economic Theory and Economic History of the University of Granada..
    10. David Masclet & Emmanuel Peterle & Sophie Larribeau, 2012. "The Role of Information in Deterring Discrimination: A New Experimental Evidence of Statistical Discrimination," Economics Working Paper Archive (University of Rennes & University of Caen) 201238, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
    11. Lisa Anderson & Jennifer Mellor & Jeffrey Milyo, 2006. "Induced heterogeneity in trust experiments," Experimental Economics, Springer;Economic Science Association, vol. 9(3), pages 223-235, September.
    12. Shoji, Masahiro, 2016. "Incentive of risk sharing and trust formation: Experimental and survey evidence from Bangladesh," MPRA Paper 71950, University Library of Munich, Germany.
    13. Ahmed, Ali M., 2006. "What's in a Surname?," CAFO Working Papers 2006:9, Linnaeus University, Centre for Labour Market Policy Research (CAFO), School of Business and Economics.
    14. Borghans, J.A.M. & Borghans, L. & ter Weel, B.J., 2005. "Is there a link between economic outcomes and genetic evolution? Cross-country evidence from the major histocompatibility complex," ROA Research Memorandum 10E, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    15. Freddi, Eleonora & Potters, Jan & Suetens, Sigrid, 2024. "The effect of brief cooperative contact with ethnic minorities on discrimination," Journal of Economic Behavior & Organization, Elsevier, vol. 222(C), pages 64-76.
    16. Achard, Pascal & Suetens, Sigrid, 2023. "The Causal Effect of Ethnic Diversity on Support for Redistribution and the Role of Discrimination," Other publications TiSEM a5e6e0cd-5e07-4a24-a15c-a, Tilburg University, School of Economics and Management.
    17. Emanuele Ciriolo, 2007. "Inequity aversion and trustees' reciprocity in the trust game," ULB Institutional Repository 2013/176651, ULB -- Universite Libre de Bruxelles.
    18. Rödin, Magnus & Özcan, Gülay, 2011. "Is It How You Look or Speak That Matters? - An Experimental Study Exploring the Mechanisms of Ethnic Discrimination," Research Papers in Economics 2011:12, Stockholm University, Department of Economics.
    19. Gereke, Johanna & Schaub, Max & Baldassarri, Delia, 2020. "Gendered Discrimination Against Immigrants: Experimental Evidence," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5, pages 1-1.
    20. Abigail Barr, 2004. "Rational and Biased Trust," CSAE Working Paper Series 2004-22, Centre for the Study of African Economies, University of Oxford.
    21. Sophie Cetre, 2020. "Essays on the determinants of wage inequality [Etudes des déterminants des inégalités salariales]," SciencePo Working papers Main tel-03408393, HAL.
    22. Chisadza, Carolyn & Nicholls, Nicky & Yitbarek, Eleni, 2021. "Group identity in fairness decisions: Discrimination or inequality aversion?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 93(C).
    23. Subhasish Dugar & Haimanti Bhattacharya & David Reiley, 2012. "Can'T Buy Me Love? A Field Experiment Exploring The Trade‐Off Between Income And Caste‐Status In An Indian Matrimonial Market," Economic Inquiry, Western Economic Association International, vol. 50(2), pages 534-550, April.
    24. Jeffrey Milyo & Jennifer M. Mellor & Lisa R. Anderson, 2005. "An Experimental Study of the Effects of Inequality and Relative Deprivation on Trusting Behavior," Working Papers 0502, Department of Economics, University of Missouri.
    25. von Essen, Emma & Karlsson, Jonas Karlsson, 2013. "A matter of transient anonymity: Discrimination by gender and foreignness in online auctions," Research Papers in Economics 2013:6, Stockholm University, Department of Economics.
    26. Néstor Gandelman & Diego Lamé, 2024. "Trust towards migrants," Theory and Decision, Springer, vol. 96(2), pages 311-331, March.
    27. Bjornskov, Christian & Bogetic, Zeljko & Hillman, Arye L. & Popovic, Milenko, 2014. "Trust and identity in a small, post-socialist, post-crisis society," Policy Research Working Paper Series 6828, The World Bank.
    28. Aoyagi, Keitaro & Sawada, Yasuyuki & Shoji, Masahiro, 2022. "Irrigation infrastructure and trust: Evidence from natural and lab-in-the-field experiments in rural communities," World Development, Elsevier, vol. 156(C).
    29. Fijnanda van Klingeren, 2020. "Playing nice in the sandbox: On the role of heterogeneity, trust and cooperation in common-pool resources," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-36, August.
    30. Sheng, Yi, 2024. "Social and strategic interactions in experiments," Other publications TiSEM 05c9c6fe-bfde-49e4-9fc4-b, Tilburg University, School of Economics and Management.
    31. Dickinson, David L. & Masclet, David & Peterle, Emmanuel, 2017. "Discrimination as Favoritism: The Private Benefits and Social Costs of In-group Favoritism in an Experimental Labor Market," IZA Discussion Papers 10599, Institute of Labor Economics (IZA).
    32. Suetens, Sigrid & Cettolin, Elena, 2017. "Return on trust is lower for immigrants," CEPR Discussion Papers 12244, C.E.P.R. Discussion Papers.
    33. Kenju Akai & Robert J. Netzer, 2009. "Trust and Reciprocity among International Groups: Experimental Evidence from Austria and Japan," ISER Discussion Paper 0737r, Institute of Social and Economic Research, Osaka University, revised Aug 2010.
    34. Stichnoth, Holger & van der Straeten, Karine, 2009. "Ethnic diversity and attitudes towards redistribution: a review of the literature," ZEW Discussion Papers 09-036, ZEW - Leibniz Centre for European Economic Research.
    35. Greiff Matthias & Egbert Henrik, 2017. "The Pay-What-You-Want game: What can be learned from the experimental evidence on Dictator and Trust Games?," Management & Marketing, Sciendo, vol. 12(1), pages 124-139, March.
    36. Greiff, Matthias & Egbert, Henrik, 2016. "The Pay-What-You-Want Game and Laboratory Experiments," MPRA Paper 75222, University Library of Munich, Germany.
    37. Ekici, Tufan & Ergun, Selim Jürgen & Rivas, M. Fernanda, 2016. "Trust and reciprocity in Cyprus," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 36-49.
    38. Luke Condra & Mohammad Isaqzadeh & Sera Linardi, 2016. "Imagined vs. Actual "Others": An Experiment on Interethnic Giving Afghanistan," Framed Field Experiments 00546, The Field Experiments Website.
    39. Werner, Katharina, 2016. "Whom do people trust after a violent conflict? Experimental evidence from Maluku, Indonesia," Passauer Diskussionspapiere, Volkswirtschaftliche Reihe V-73-16, University of Passau, Faculty of Business and Economics.
    40. Justine Burns, 2004. "Race and trust in post-apartheid South Africa," SALDRU/CSSR Working Papers 078, Southern Africa Labour and Development Research Unit, University of Cape Town.
    41. Grimm, Veronika & Utikal, Verena & Valmasoni, Lorenzo, 2015. "In-group favoritism and discrimination among multiple out-groups," FAU Discussion Papers in Economics 05/2015, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    42. Hsieh, Chih-Sheng & Lin, Xu, 2024. "Gender and racial disparities in altruism in social networks," Regional Science and Urban Economics, Elsevier, vol. 108(C).
    43. Olof Johansson Stenman & Minhaj Mahmud & Peter Martinsson, 2006. "Trust and Religion: Experimental Evidence from Bangladesh," Keele Economics Research Papers KERP 2006/10, Centre for Economic Research, Keele University.
    44. Claudia Senik & Holger Stichnoth & Karine Straeten, 2009. "Immigration and Natives’ Attitudes towards the Welfare State: Evidence from the European Social Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 91(3), pages 345-370, May.
    45. David Hugh-Jones & Alexia Katsanidou & Gerhard Riener, 2009. "Political Discrimination in the Aftermath of Violence: the case of the Greek riots," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 30, Hellenic Observatory, LSE.
    46. Anatolyev, Stanislav & Kosenok, Grigory, 2009. "Tests in contingency tables as regression tests," Economics Letters, Elsevier, vol. 105(2), pages 189-192, November.
    47. Matteo Migheli, 2012. "Socialisation, Trust and Reciprocity among Young People," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(I), pages 77-95, March.
    48. Ahmed, Ali M., 2006. "Group Identity, Intergroup Bias, and Discrimination," CAFO Working Papers 2006:11, Linnaeus University, Centre for Labour Market Policy Research (CAFO), School of Business and Economics.
    49. Fong, Christina M. & Luttmer, Erzo F.P., 2011. "Do fairness and race matter in generosity? Evidence from a nationally representative charity experiment," Journal of Public Economics, Elsevier, vol. 95(5), pages 372-394.
    50. Jeworrek, Sabrina & Leisen, Bernd Josef & Mertins, Vanessa, 2021. "Gift-exchange in society and the social integration of refugees–Evidence from a survey, a laboratory, and a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 482-499.
    51. Astrid Dannenberg & Bodo Sturm & Carsten Vogt, 2010. "Do Equity Preferences Matter for Climate Negotiators? An Experimental Investigation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 47(1), pages 91-109, September.
    52. Christina M. Fong & Erzo F.P. Luttmer, 2007. "What Determines Giving to Hurricane Katrina Victims? Experimental Evidence on Income, Race, and Fairness," NBER Working Papers 13219, National Bureau of Economic Research, Inc.
    53. Tomomi Tanaka & Colin F. Camerer, 2016. "Trait perceptions influence economic out-group bias: lab and field evidence from Vietnam," Experimental Economics, Springer;Economic Science Association, vol. 19(3), pages 513-534, September.
    54. Chen, Josie I. & Foster, Andrew & Putterman, Louis, 2019. "Identity, trust and altruism: An experiment on preferences and microfinance lending," European Economic Review, Elsevier, vol. 120(C).
    55. Johansson-Stenman, Olof, 2006. "Who Are the Trustworthy, We Think?," Working Papers in Economics 222, University of Gothenburg, Department of Economics.
    56. Eckel, Catherine & Gintis, Herbert, 2010. "Blaming the messenger: Notes on the current state of experimental economics," Journal of Economic Behavior & Organization, Elsevier, vol. 73(1), pages 109-119, January.
    57. Rödin, Magnus & Özcan, Gülay, 2011. "Is It How You Look or Speak That Matters? - An Experimental Study Exploring the Mechanisms of Ethnic Discrimination," SULCIS Working Papers 2011:3, Stockholm University, Linnaeus Center for Integration Studies - SULCIS.
    58. Cochard, François & Flage, Alexandre & Peterle, Emmanuel, 2019. "Intermediation and discrimination in an investment game: An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 168(C), pages 196-208.
    59. Emma von Essen & Jonas Karlsson, 2019. "The effect of competition on discrimination in online markets—Anonymity and selection," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-18, August.
    60. Guillen, Pablo & Ji, Daniel, 2011. "Trust, discrimination and acculturation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(5), pages 594-608.
    61. Christina M. Fong & Erzo F. P. Luttmer, 2009. "What Determines Giving to Hurricane Katrina Victims? Experimental Evidence on Racial Group Loyalty," American Economic Journal: Applied Economics, American Economic Association, vol. 1(2), pages 64-87, April.
    62. Henrik Egbert & Vanessa Mertins, 2010. "Experiential Learning with Experiments," International Review of Economic Education, Economics Network, University of Bristol, vol. 9(2), pages 59-66.
    63. Tom Lane, 2015. "Discrimination in the laboratory: a meta-analysis," Discussion Papers 2015-03, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    64. Lindokuhle Njozela & Justine Burns & Arnim Langer, 2018. "The Effects of Social Exclusion and Group Heterogeneity on the Provision of Public Goods," Games, MDPI, vol. 9(3), pages 1-21, August.
    65. Magnus Rodin & Gulay Ozcan, 2013. "Is It How You Look or Speak That Matters? “An Experimental Study Exploring the Mechanisms of Ethnic Discrimination”," Working Papers 009, Bahcesehir University, Betam.
    66. Cetre, Sophie & Algan, Yann & Grimalda, Gianluca & Murtin, Fabrice & Pipke, David & Putterman, Louis & Schmidt, Ulrich & Siegerink, Vincent, 2024. "Ethnic bias, economic achievement and trust between large ethnic groups: A study in Germany and the U.S," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 996-1021.
    67. Grimm, Veronika & Utikal, Verena & Valmasoni, Lorenzo, 2017. "In-group favoritism and discrimination among multiple out-groups," Journal of Economic Behavior & Organization, Elsevier, vol. 143(C), pages 254-271.

  17. Dhaene, Geert & Hoorelbeke, Dirk, 2004. "The information matrix test with bootstrap-based covariance matrix estimation," Economics Letters, Elsevier, vol. 82(3), pages 341-347, March.
    See citations under working paper version above.
  18. G. Dhaene, 2004. "Indirect Inference for Stochastic Volatility Models via the Log-Squared Observations," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 421-440.

    Cited by:

    1. J. Beirlant & G. Claeskens & C. Croux & H. Degryse & H. Dewachter & G. Dhaene & J. Dhaene & I. Gijbels & M. Goovaerts & M. Hubert & F. Roodhooft & W. Schouten & M. Willekens, 2005. "Managing Uncertainty: Financial, Actuarial and Statistical Modeling," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(1), pages 23-48.
    2. Maddalena Cavicchioli, 2017. "Estimation and asymptotic covariance matrix for stochastic volatility models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 26(3), pages 437-452, August.

  19. Dhaene, Geert & Schokkaert, Erik & Van de Voorde, Carine, 2003. "Best affine unbiased response decomposition," Journal of Multivariate Analysis, Elsevier, vol. 86(2), pages 242-253, August.

    Cited by:

    1. D. Van den Poel, 2003. "Predicting Mail-Order Repeat Buying. Which Variables Matter?," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(3), pages 371-404.
    2. Haupt, Harry & Oberhofer, Walter, 2005. "Stochastic response restrictions," Journal of Multivariate Analysis, Elsevier, vol. 95(1), pages 66-75, July.

  20. De Ceuster, Marc J. K. & Dhaene, Geert & Schatteman, Tom, 1998. "On the hypothesis of psychological barriers in stock markets and Benford's Law," Journal of Empirical Finance, Elsevier, vol. 5(3), pages 263-279, September.

    Cited by:

    1. Tran, Arthur M. & Griffiths, Mark D. & Winters, Drew B., 2023. "Small bank managers are prudent: A Benford’s Law approach to analyzing loan loss allowances," Journal of Economics and Business, Elsevier, vol. 125.
    2. Pierdzioch, Christian, 2000. "Noise Traders? Trigger Rates, FX Options, and Smiles," Kiel Working Papers 970, Kiel Institute for the World Economy (IfW Kiel).
    3. Brian Lucey & Raj Aggarwal, 2005. "Psychological Barriers in Gold Prices," The Institute for International Integration Studies Discussion Paper Series iiisdp053, IIIS.
    4. Roy Cerqueti & Mario Maggi & Jessica Riccioni, 2024. "Statistical methods for decision support systems in finance: how Benford’s law predicts financial risk," Annals of Operations Research, Springer, vol. 342(3), pages 1445-1469, November.
    5. Stefan Günnel & Karl-Heinz Tödter, 2009. "Does Benford’s Law hold in economic research and forecasting?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(3), pages 273-292, August.
    6. Carrera, César, 2015. "Tracking exchange rate management in Latin America," Review of Financial Economics, Elsevier, vol. 25(C), pages 35-41.
    7. Dorfleitner, Gregor & Klein, Christian, 2009. "Psychological barriers in European stock markets: Where are they?," Global Finance Journal, Elsevier, vol. 19(3), pages 268-285.
    8. Arezzo, Maria Felice & Cerqueti, Roy, 2023. "A Benford’s Law view of inspections’ reasonability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
    9. Jing Shi & Marcel Ausloos & Tingting Zhu, 2017. "Benford's law first significant digit and distribution distances for testing the reliability of financial reports in developing countries," Papers 1712.00131, arXiv.org.
    10. David Giles, 2007. "Benford's law and naturally occurring prices in certain ebaY auctions," Applied Economics Letters, Taylor & Francis Journals, vol. 14(3), pages 157-161.
    11. Parnes, Dror, 2022. "Banks' off-balance sheet manipulations," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 314-331.
    12. Holmes, Mark J. & Otero, Jesús, 2023. "Psychological price barriers, El Niño, La Niña: New insights for the case of coffee," Journal of Commodity Markets, Elsevier, vol. 31(C).
    13. Ocean Fan Lu & David E. A. Giles, 2006. "Benford's Law and Psychological Barriers in Certain eBay Auctions," Econometrics Working Papers 0606, Department of Economics, University of Victoria.
    14. Florian El Mouaaouy, 2018. "Financial crime ‘hot spots’ – empirical evidence from the foreign exchange market," The European Journal of Finance, Taylor & Francis Journals, vol. 24(7-8), pages 565-583, May.
    15. Christian Bauer & Bernhard Herz, 2004. "Technical trading and the volatility of exchange rates," Quantitative Finance, Taylor & Francis Journals, vol. 4(4), pages 399-415.
    16. Li, Jun & Yu, Jianfeng, 2012. "Investor attention, psychological anchors, and stock return predictability," Journal of Financial Economics, Elsevier, vol. 104(2), pages 401-419.
    17. Hristos Doucouliagos, 2004. "Number preference in Australian stocks," Applied Financial Economics, Taylor & Francis Journals, vol. 14(1), pages 43-54.
    18. Dlugosz, Stephan & Müller-Funk, Ulrich, 2012. "Ziffernanalyse zur Betrugserkennung in Finanzverwaltungen: Prüfung von Kassenbelegen," Arbeitsberichte des Instituts für Wirtschaftsinformatik 133, University of Münster, Department of Information Systems.
    19. Riccioni, Jessica & Cerqueti, Roy, 2018. "Regular paths in financial markets: Investigating the Benford's law," Chaos, Solitons & Fractals, Elsevier, vol. 107(C), pages 186-194.
    20. J˙lio Lob„o & Margarida Couto, 2019. "Are there Psychological Barriers in Asian Stock Markets?," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 15(1), pages 83-106.
    21. Raj Aggarwal, 2004. "Persistent Puzzles in International Finance and Economics," The Economic and Social Review, Economic and Social Studies, vol. 35(3), pages 241-250.
    22. Roy Cerqueti & C Lupi, 2021. "Some New Tests of Conformity with Benford’s Laws," Post-Print hal-03789183, HAL.
    23. Júlio Lobão & Natércia Fortuna & Franklin Silva, 2020. "Do psychological barriers exist in Latin American stock markets?," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 35(2), pages 29-56, October.
    24. Paul Hofmarcher & Kurt Hornik, 2013. "First Significant Digits and the Credit Derivative Market During the Financial Crisis," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(2), June.
    25. Bernhard Rauch & Max G�ttsche & Stephan Langenegger, 2014. "Detecting Problems in Military Expenditure Data Using Digital Analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 25(2), pages 97-111, April.
    26. David E. Giles, 2012. "Exact Asymptotic Goodness-of-Fit Testing For Discrete Circular Data, With Applications," Econometrics Working Papers 1201, Department of Economics, University of Victoria.
    27. Attilio Gardini & Giuseppe Cavaliere & Michele Costa, 1999. "A new approach to stock price modelling and the efficiency of the Italian stock exchange," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 8(1), pages 25-47, April.
    28. Woodhouse, Sam Alan & Singh, Harminder & Bhattacharya, Sukanto & Kumar, Kuldeep, 2016. "Invisible walls: Do psychological barriers really exist in stock index levels?," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 267-278.
    29. Cerqueti, Roy & Maggi, Mario, 2021. "Data validity and statistical conformity with Benford’s Law," Chaos, Solitons & Fractals, Elsevier, vol. 144(C).
    30. Mitchell, Jason & Izan, H.Y., 2006. "Clustering and psychological barriers in exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(4), pages 318-344, October.

  21. Geert Dhaene & Christian Gourieroux & Olivier Scaillet, 1998. "Instrumental Models and Indirect Encompassing," Econometrica, Econometric Society, vol. 66(3), pages 673-688, May.

    Cited by:

    1. Geert Dhaene & Olivier Scaillet, 2000. "Reversed Score and Likelihood Ratio Tests," Working Papers 2000-60, Center for Research in Economics and Statistics.
    2. Dridi, Ramdan & Renault, Eric, 2000. "Semi-parametric indirect inference," LSE Research Online Documents on Economics 6864, London School of Economics and Political Science, LSE Library.
    3. Elia Lapenta & Pascal Lavergne, 2022. "Encompassing Tests for Nonparametric Regressions," Papers 2203.06685, arXiv.org, revised Oct 2023.
    4. Li, Tong, 2010. "Indirect inference in structural econometric models," Journal of Econometrics, Elsevier, vol. 157(1), pages 120-128, July.
    5. Chesher, Andrew & Dhaene, Geert & Gouriéroux, Christian & Scaillet, Olivier, 1999. "Bartlett Identities Tests," LIDAM Discussion Papers IRES 1999019, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    6. Gourieroux, Christian & Jasiak, Joann, 2018. "Misspecification of noncausal order in autoregressive processes," Journal of Econometrics, Elsevier, vol. 205(1), pages 226-248.
    7. Hecq Alain & Sun Li, 2021. "Selecting between causal and noncausal models with quantile autoregressions," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(5), pages 393-416, December.
    8. Alain Hecq & Li Sun, 2019. "Identification of Noncausal Models by Quantile Autoregressions," Papers 1904.05952, arXiv.org.
    9. Lapenta, Elia & Lavergne, Pascal, 2022. "Encompassing Tests for Nonparametric Regressions," TSE Working Papers 22-1332, Toulouse School of Economics (TSE).
    10. Roger WALDER, 2002. "Interactions Between Market and Credit Risk: Modeling the Joint Dynamics of Default-Free and Defaultable Bond Term Structures," FAME Research Paper Series rp56, International Center for Financial Asset Management and Engineering.

  22. Erik Schokkaert & Geert Dhaene & Carine Van De Voorde, 1998. "Risk adjustment and the trade‐off between efficiency and risk selection: an application of the theory of fair compensation," Health Economics, John Wiley & Sons, Ltd., vol. 7(5), pages 465-480, August.

    Cited by:

    1. Stam, Pieter J.A. & van Vliet, René C.J.A. & van de Ven, Wynand P.M.M., 2010. "A limited-sample benchmark approach to assess and improve the performance of risk equalization models," Journal of Health Economics, Elsevier, vol. 29(3), pages 426-437, May.
    2. FLEURBAEY, Marc & SCHOKKAERT, Erik, 2007. "Unfair inequalities in health and health care," LIDAM Discussion Papers CORE 2007090, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    3. Erik Schokkaert & Kurt Devooght, 2003. "Responsibility-sensitive fair compensation in different cultures," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 21(2), pages 207-242, October.
    4. Ooghe, Erwin & Schokkaert, Erik, 2013. "School Accountability: Can We Reward Schools and Avoid Pupil Selection?," IZA Discussion Papers 7420, Institute of Labor Economics (IZA).
    5. Sato, Azusa, 2012. "Do Inequalities in Health Care Utilization in Developing Countries Change When We Take into Account Traditional Medicines?," World Development, Elsevier, vol. 40(11), pages 2275-2289.
    6. Dhaene, Geert & Schokkaert, Erik & Van de Voorde, Carine, 2003. "Best affine unbiased response decomposition," Journal of Multivariate Analysis, Elsevier, vol. 86(2), pages 242-253, August.
    7. Brilleman, Samuel L. & Gravelle, Hugh & Hollinghurst, Sandra & Purdy, Sarah & Salisbury, Chris & Windmeijer, Frank, 2014. "Keep it simple? Predicting primary health care costs with clinical morbidity measures," Journal of Health Economics, Elsevier, vol. 35(C), pages 109-122.
    8. Schokkaert, Erik & Van de Voorde, Carine, 2004. "Risk selection and the specification of the conventional risk adjustment formula," Journal of Health Economics, Elsevier, vol. 23(6), pages 1237-1259, November.
    9. Z. F. Ibragimova & M. V. Frants, 2022. "Inequality of Opportunity: Unobserved Factors in Empirical Research," Studies on Russian Economic Development, Springer, vol. 33(3), pages 328-335, June.
    10. Ismail, I. & Stam, P.J.A. & Portrait, F.R.M. & van Witteloostuijn, A. & Koolman, X., 2024. "Addressing unanticipated interactions in risk equalization: A machine learning approach to modeling medical expenditure risk," Economic Modelling, Elsevier, vol. 130(C).
    11. Schut, Frederik T. & van Doorslaer, Eddy K. A., 1999. "Towards a reinforced agency role of health insurers in Belgium and the Netherlands," Health Policy, Elsevier, vol. 48(1), pages 47-67, July.
    12. Bijlsma, M. & Boone, J. & Zwart, Gijsbert, 2011. "Competition Leverage : How the Demand Side Affects Optimal Risk Adjustment," Other publications TiSEM c7739c3e-866e-4509-bfc2-e, Tilburg University, School of Economics and Management.
    13. Perelman, Julian & Shmueli, Amir & Closon, Marie-Christine, 2008. "Deriving a risk-adjustment formula for hospital financing: Integrating the impact of socio-economic status on length of stay," Social Science & Medicine, Elsevier, vol. 66(1), pages 88-98, January.
    14. X. Ramos & D. Van De Gaer, 2012. "Empirical Approaches to Inequality of Opportunity: Principles, Measures, and Evidence," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/792, Ghent University, Faculty of Economics and Business Administration.
    15. Karen Eggleston & Randall P. Ellis & Mingshan Lu, 2007. "Prevention and Dynamic Risk Adjustment," Boston University - Department of Economics - Working Papers Series WP2007-023, Boston University - Department of Economics.
    16. Marta González-Touya & Alexandrina Stoyanova & Rosa M. Urbanos-Garrido, 2021. "COVID-19 and Unmet Healthcare Needs of Older People: Did Inequity Arise in Europe?," IJERPH, MDPI, vol. 18(17), pages 1-15, August.
    17. Adam Oliver, 1999. "Risk Adjusting Health Care Resource Allocations," Monograph 000452, Office of Health Economics.
    18. Susanna Kochskämper, 2012. "Reformdebatten in der Krankenversicherung vor dem Hintergrund des europäischen Binnenmarktes," Otto-Wolff-Institut Discussion Paper Series 02/2012, Otto-Wolff-Institut für Wirtschaftsordnung, Köln, Deutschland.
    19. Schokkaert, Erik & Van de Voorde, Carine, 2003. "Belgium: risk adjustment and financial responsibility in a centralised system," Health Policy, Elsevier, vol. 65(1), pages 5-19, July.
    20. François Maniquet, 2004. "On the equivalence between welfarism and equality of opportunity," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 23(1), pages 127-147, August.
    21. Schokkaert, Erik & Van de Voorde, Carine, 2009. "Direct versus indirect standardization in risk adjustment," Journal of Health Economics, Elsevier, vol. 28(2), pages 361-374, March.
    22. Amir Shmueli, 1999. "Inferring capitation rates from aggregate health plans’ costs," Health Economics, John Wiley & Sons, Ltd., vol. 8(6), pages 547-552, September.
    23. van de Ven, Wynand P. M. M. & van Vliet, Rene C. J. A. & Schut, Frederik T. & van Barneveld, Erik M., 2000. "Access to coverage for high-risks in a competitive individual health insurance market: via premium rate restrictions or risk-adjusted premium subsidies?," Journal of Health Economics, Elsevier, vol. 19(3), pages 311-339, May.
    24. Shuli Brammli-Greenberg & Jacob Glazer & Ruth Waitzberg, 2019. "Modest risk-sharing significantly reduces health plans’ incentives for service distortion," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(9), pages 1359-1374, December.
    25. Samuel L Brilleman & Hugh Gravelle & Sandra Hollinghurst & Sarah Purdy & Chris Salisbury & Frank Windmeijer, 2011. "Keep it Simple? Predicting Primary Health Care Costs with Measures of Morbidity and Multimorbidity," Working Papers 072cherp, Centre for Health Economics, University of York.
    26. Christine Arentz & Johann Eekhoff & Susanna Kochskämper, 2012. "Private health insurance: a role model for European health systems," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(5), pages 615-621, October.
    27. Tom Van Ourti, 2004. "Measuring horizontal inequity in Belgian health care using a Gaussian random effects two part count data model," Health Economics, John Wiley & Sons, Ltd., vol. 13(7), pages 705-724, July.
    28. Wynand P. M. M. Ven & René C. J. A. Vliet & Richard C. Kleef, 2017. "How can the regulator show evidence of (no) risk selection in health insurance markets? Conceptual framework and empirical evidence," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(2), pages 167-180, March.

  23. Dhaene, Geert & Barten, Anton P., 1989. "When it all began : The 1936 Tinbergen model revisited," Economic Modelling, Elsevier, vol. 6(2), pages 203-219, April.
    See citations under working paper version above.

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