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Maurice Bun

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. Hans van Ophem & Noud P.A. van Giersbergen & Kees Jan van Garderen & Maurice J.G. Bun, 2017. "The cyclicality of R&D investment revisited," UvA-Econometrics Working Papers 17-01, Universiteit van Amsterdam, Dept. of Econometrics.

    Cited by:

    1. Ahmad, Manzoor, 2021. "Non-linear dynamics of innovation activities over the business cycles: Empirical evidence from OECD economies," Technology in Society, Elsevier, vol. 67(C).
    2. Díaz, Guillermo Arenas & Barge-Gil, Andrés & Heijs, Joost, 2020. "The effect of innovation on skilled and unskilled workers during bad times," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 141-158.

  2. Maurice J.G. Bun & Vasilis Sarafidis & Richard Kelaher, 2016. "Crime, Deterrence and Punishment Revisited," UvA-Econometrics Working Papers 16-02, Universiteit van Amsterdam, Dept. of Econometrics.

    Cited by:

    1. Marcelo Castro & Cesar Tirso, 2023. "The impacts of the age of majority on the exposure to violent crimes," Empirical Economics, Springer, vol. 64(2), pages 983-1023, February.
    2. Jonathan Torres‐Tellez & Alberto Montero Soler, 2023. "After the economic crisis of 2008: Economic conditions and crime in the last decade for the case of Spain," American Journal of Economics and Sociology, Wiley Blackwell, vol. 82(3), pages 223-239, May.
    3. 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.

  3. H. Peter Boswijk & Maurice J.G. Bun & Maarten Pieter Schinkel, 2016. "Cartel dating," UvA-Econometrics Working Papers 16-04, Universiteit van Amsterdam, Dept. of Econometrics.

    Cited by:

    1. Hellwig, Michael & Hüschelrath, Kai, 2017. "When do firms leave cartels? Determinants and the impact on cartel survival," ZEW Discussion Papers 17-002, ZEW - Leibniz Centre for European Economic Research.

  4. Maurice J.G. Bun & Martin A. Carree & Arturas Juodis, 2014. "On Maximum Likelihood estimation of dynamic panel data models," UvA-Econometrics Working Papers 14-04, Universiteit van Amsterdam, Dept. of Econometrics.

    Cited by:

    1. Mehic, Adrian, 2020. "Half-panel jackknife estimation for dynamic panel models," Economics Letters, Elsevier, vol. 190(C).
    2. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    3. Baltagi, Badi H. & Bresson, Georges & Chaturvedi, Anoop & Lacroix, Guy, 2022. "Robust Dynamic Space-Time Panel Data Models Using ?-Contamination: An Application to Crop Yields and Climate Change," IZA Discussion Papers 15815, Institute of Labor Economics (IZA).
    4. Arturas Juodis, 2015. "Iterative Bias Correction Procedures Revisited: A Small Scale Monte Carlo Study," UvA-Econometrics Working Papers 15-02, Universiteit van Amsterdam, Dept. of Econometrics.
    5. Adrian Mehic, 2021. "FDML versus GMM for Dynamic Panel Models with Roots Near Unity," JRFM, MDPI, vol. 14(9), pages 1-9, August.
    6. Thomas von Brasch & Diana-Cristina Iancu & Terje Skjerpen, 2017. "Productivity dispersion and measurement errors," Discussion Papers 869, Statistics Norway, Research Department.
    7. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2023. "Robust dynamic space–time panel data models using $$\varepsilon $$ ε -contamination: an application to crop yields and climate change," Empirical Economics, Springer, vol. 64(6), pages 2475-2509, June.
    8. Hakim Lyngstadaas, 2020. "Packages or systems? Working capital management and financial performance among listed U.S. manufacturing firms," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(4), pages 403-450, December.
    9. 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.
    10. Juodis, Artūras & Poldermans, Rutger W., 2021. "Backward mean transformation in unit root panel data models," Economics Letters, Elsevier, vol. 201(C).

  5. Maurice J.G. Bun & Teresa D. Harrison, 2014. "OLS and IV estimation of regression models including endogenous interaction terms," UvA-Econometrics Working Papers 14-02, Universiteit van Amsterdam, Dept. of Econometrics.

    Cited by:

    1. Sen, Suphi, 2015. "Corporate governance, environmental regulations, and technological change," European Economic Review, Elsevier, vol. 80(C), pages 36-61.
    2. Dreher, Axel & Yu, Shu, 2016. "The Alma Mater Effect. Does Foreign Education of Political Leaders Influence Foreign Policy?," CEPR Discussion Papers 11450, C.E.P.R. Discussion Papers.
    3. Richard Bluhm & Martin Gassebner & Sarah Langlotz & Paul Schaudt, 2016. "Fueling Conflict? (De)Escalation and Bilateral Aid," CESifo Working Paper Series 6125, CESifo.
    4. Fabrizio Coricelli & Marco Frigerio,, 2015. "The Credit-Output Relationship During the Recovery from Recession," Post-Print halshs-01267259, HAL.
    5. Jane Cooley Fruehwirth & Sriya Iyer & Anwen Zhang, 2019. "Religion and Depression in Adolescence," Journal of Political Economy, University of Chicago Press, vol. 127(3), pages 1178-1209.
    6. Tani, Massimiliano, 2017. "Local signals and the returns to foreign education," Economics of Education Review, Elsevier, vol. 61(C), pages 174-190.
    7. Elif Sisli Ciamarra & Tanseli Savaser, 2015. "Managerial Performance Incentives and Firm Risk during Economic Expansions and Recessions," Working Papers 93, Brandeis University, Department of Economics and International Business School.
    8. Chauvet, Lisa & Ehrhart, Hélène, 2018. "Aid and growth: evidence from firm-level data," Journal of Development Economics, Elsevier, vol. 135(C), pages 461-477.
    9. Koray Alper & Mahir Binici & Selva Demiralp & Hakan Kara & Pinar Ozlu, 2014. "Reserve Requirements, Liquidity Risk and Credit Growth," Working Papers 1424, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    10. Tyler Morin & Mark Partridge, 2021. "The Impact of Small Regional Economic Development Commissions: Is There Any Bang After Just a Few Bucks?," Economic Development Quarterly, , vol. 35(1), pages 22-39, February.
    11. Justine Pedrono & Aurélien Violon, 2017. "Banks' leverage Procyclicality: Does Currency Diversification Matter?," Working Papers 2017-09, CEPII research center.
    12. Or Levkovich & Jan Rouwendal & Jos van Ommeren, 2017. "The impact of highways on population redistribution: The role of land development restrictions," Tinbergen Institute Discussion Papers 17-109/VIII, Tinbergen Institute.
    13. Langlotz, Sarah & Potrafke, Niklas, 2019. "Does development aid increase military expenditure?," Munich Reprints in Economics 78251, University of Munich, Department of Economics.
    14. Richard Bluhm & Denis de Crombrugghe & Adam Szirmai, 0. "Do Weak Institutions Prolong Crises? On the Identification, Characteristics, and Duration of Declines during Economic Slumps," The World Bank Economic Review, World Bank, vol. 34(3), pages 810-832.
    15. Lang, Valentin F. & Presbitero, Andrea F., 2018. "Room for discretion? Biased decision-making in international financial institutions," Journal of Development Economics, Elsevier, vol. 130(C), pages 1-16.
    16. Axel Dreher & Andreas Fuchs & Roland Hodler & Bradley C. Parks & Paul A. Raschky & Michael J. Tierney, 2015. "Aid on Demand: African Leaders and the Geography of China's Foreign Assistance," CESifo Working Paper Series 5439, CESifo.
    17. Milonas, Kristoffer, 2017. "The effect of foreclosure laws on securitization: Evidence from U.S. states," Journal of Financial Stability, Elsevier, vol. 33(C), pages 1-22.
    18. Morin, Tyler & Partridge, Mark, 2019. "The Economic Impact of Small Regional Commissions: Evidence from the Delta Regional Authority," MPRA Paper 95200, University Library of Munich, Germany.
    19. James B. ANG & Per G. Fredriksson, 2016. "Statehood Experience, Legal Traditions and Climate Change Policies," Economic Growth Centre Working Paper Series 1610, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    20. Tobias Rommel & Paul Schaudt, 2016. "First Impressions: How Leader Changes Affect Bilateral Aid," CESifo Working Paper Series 6047, CESifo.
    21. Pedro Saramago & Karl Claxton & Nicky J. Welton & Marta Soares, 2020. "Bayesian econometric modelling of observational data for cost‐effectiveness analysis: establishing the value of negative pressure wound therapy in the healing of open surgical wounds," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1575-1593, October.
    22. Söhnke M Bartram & Jennifer Conrad & Jongsub Lee & Marti G Subrahmanyam, 2022. "Credit Default Swaps around the World," The Review of Financial Studies, Society for Financial Studies, vol. 35(5), pages 2464-2524.
    23. Dreher, Axel & Gassebner, Martin & Schaudt, Paul, 2017. "The Effect of Migration on Terror – Made at Home or Imported from Abroad?," CEPR Discussion Papers 12062, C.E.P.R. Discussion Papers.
    24. Axel Dreher & Martin Gassebner & Paul Schaudt, 2017. "The Effect of Migration on Terror - Made at Home or Imported from Abroad?," CESifo Working Paper Series 6441, CESifo.
    25. Bernhard Reinsberg & Alexander Kentikelenis & Thomas Stubbs & Lawrence King & Centre for Business Research, 2018. "The World System & the Hollowing-out of State Capacity: How Structural Adjustment Programs Impact Bureaucratic Quality in Developing Countries," Working Papers wp503, Centre for Business Research, University of Cambridge.
    26. Aïssata Coulibaly, 2016. "Revisiting the Relationship between Financial Development and Child Labor in Developing Countries: Do Inequality and Institutions Matter?," Working Papers halshs-01402997, HAL.
    27. Mayda, Anna Maria & Ludema, Rodney D & McClure, Jonathan C. F., 2015. "Dragons, Giants, Elephants and Mice: Evolution of the MFN Free Rider Problem in the WTO Era," CEPR Discussion Papers 10961, C.E.P.R. Discussion Papers.
    28. Peter McHenry & Jennifer Mellor, 2018. "Medicare hospital payment adjustments and nursing wages," International Journal of Health Economics and Management, Springer, vol. 18(2), pages 169-196, June.
    29. Fosu, Samuel & Danso, Albert & Ahmad, Wasim & Coffie, William, 2016. "Information asymmetry, leverage and firm value: Do crisis and growth matter?," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 140-150.
    30. Li, Lixing & Wu, Xiaoyu, 2019. "Housing price and intergenerational co-residence in urban China," Journal of Housing Economics, Elsevier, vol. 45(C), pages 1-1.
    31. Justine Pedrono & Aurélien Violon, 2015. "Bank Leverage: Does Currency Diversification Really Matter?," AMSE Working Papers 1543, Aix-Marseille School of Economics, France, revised 16 Oct 2015.
    32. Giombini, Germana & Teobaldelli, Désirée & Schneider, Friedrich, 2018. "Interaction effect of tax evasion and legal system inefficiency on firms' financial constraints," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 1-20.
    33. Axel Dreher & Vera Z Eichenauer & Kai Gehring, 2018. "Geopolitics, Aid, and Growth: The Impact of UN Security Council Membership on the Effectiveness of Aid," The World Bank Economic Review, World Bank, vol. 32(2), pages 268-286.
    34. Daniel A. Brent & Joseph H. Cook & Skylar Olsen, 2015. "Social Comparisons, Household Water Use, and Participation in Utility Conservation Programs: Evidence from Three Randomized Trials," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(4), pages 597-627.

  6. Maurice J.G. Bun & Frank Kleibergen, 2013. "Identification and inference in moments based analysis of linear dynamic panel data models," UvA-Econometrics Working Papers 13-07, Universiteit van Amsterdam, Dept. of Econometrics.

    Cited by:

    1. Piccoli, Luca & Tiezzi, Silvia, 2020. "Rational Addiction and Time Consistency: An Empirical Test," IZA Discussion Papers 12906, Institute of Labor Economics (IZA).
    2. Tue Gørgens & Chirok Han & Sen Xue, 2019. "Moment Restrictions and Identification in Linear Dynamic Panel Data Models," Annals of Economics and Statistics, GENES, issue 134, pages 149-176.
    3. Alexander Chudik & M. Hashem Pesaran, 2017. "An Augmented Anderson-Hsiao Estimator for Dynamic Short-T Panels," Globalization Institute Working Papers 327, Federal Reserve Bank of Dallas, revised 27 Mar 2021.
    4. Mehmet Caner & Xu Han & Yoonseok Lee, 2018. "Adaptive Elastic Net GMM Estimation With Many Invalid Moment Conditions: Simultaneous Model and Moment Selection," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 24-46, January.
    5. Owen Davis & Siavash Radpour, 2021. "Dissecting the Pandemic Retirement Surge," SCEPA publication series. 2021-05, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    6. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Large sample properties of an IV estimator based on the Ahn and Schmidt moment conditions," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-37-19, University of Passau, Faculty of Business and Economics.
    7. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Practical aspects of using quadratic moment conditions in linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-38-19, University of Passau, Faculty of Business and Economics.
    8. Fritsch, Markus & Pua, Andrew Adrian Yu & Schnurbus, Joachim, 2019. "Pdynmc - An R-package for estimating linear dynamic panel data models based on linear and nonlinear moment conditions," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-39-19, University of Passau, Faculty of Business and Economics.
    9. Alexander Chudik & M. Hashem Pesaran, 2017. "A Bias-Corrected Method of Moments Approach to Estimation of Dynamic Short-T Panels," CESifo Working Paper Series 6688, CESifo.
    10. Tue Gorgens & Chirok Han & Sen Xue, 2016. "Asymptotic distributions of the quadratic GMM estimator in linear dynamic panel data models," ANU Working Papers in Economics and Econometrics 2016-635, Australian National University, College of Business and Economics, School of Economics.
    11. Feridoon Koohi-Kamali & Amit Roy, 2021. "Environmental Shocks and Child Labor: A Panel Data Ethiopia & India," SCEPA working paper series. 2021-05, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    12. Enrique Sentana, 2015. "Finite Underidentification," Working Papers wp2015_1508, CEMFI.
    13. Fritsch, Markus, 2019. "On GMM estimation of linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-36-19, University of Passau, Faculty of Business and Economics.

  7. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.

    Cited by:

    1. Arturas Juodis, 2014. "Cointegration Testing in Panel VAR Models Under Partial Identification and Spatial Dependence," UvA-Econometrics Working Papers 14-08, Universiteit van Amsterdam, Dept. of Econometrics.
    2. Lauren Stagnol, 2015. "Designing a corporate bond index on solvency criteria," Working Papers hal-04141378, HAL.
    3. Frédéric Docquier & Elisabetta Lodigiani & Hillel Rapoport & Maurice Schiff, 2016. "Emigration and democracy," PSE - Labex "OSE-Ouvrir la Science Economique" hal-01304133, HAL.
    4. Piccoli, Luca & Tiezzi, Silvia, 2020. "Rational Addiction and Time Consistency: An Empirical Test," IZA Discussion Papers 12906, Institute of Labor Economics (IZA).
    5. Lubom??r L??zal & Dietrich Earnhart, 2002. "Effects of Ownership and Financial Status on Corporate Environmental Performance," William Davidson Institute Working Papers Series 492, William Davidson Institute at the University of Michigan.
    6. Tue Gørgens & Chirok Han & Sen Xue, 2019. "Moment Restrictions and Identification in Linear Dynamic Panel Data Models," Annals of Economics and Statistics, GENES, issue 134, pages 149-176.
    7. Blanka Skrabic Peric & Zana Vidovic, 2017. "Heterogeneous Panel Granger causality between GDP and Tourism in 11 EU members in Central and Southeastern Europe," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 3(1), pages 6-27.
    8. Alexander Chudik & M. Hashem Pesaran, 2017. "An Augmented Anderson-Hsiao Estimator for Dynamic Short-T Panels," Globalization Institute Working Papers 327, Federal Reserve Bank of Dallas, revised 27 Mar 2021.
    9. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    10. Giannetti, C., 2008. "Unit Roots and the Dynamics of Market Shares : An Analysis Using Italian Banking Micro-Panel," Other publications TiSEM 08ff44cb-31c2-4845-8f7d-1, Tilburg University, School of Economics and Management.
    11. Mehmet Caner & Xu Han & Yoonseok Lee, 2018. "Adaptive Elastic Net GMM Estimation With Many Invalid Moment Conditions: Simultaneous Model and Moment Selection," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 24-46, January.
    12. 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.
    13. Hayakawa, Kazuhiko, 2019. "Alternative over-identifying restriction test in the GMM estimation of panel data models," Econometrics and Statistics, Elsevier, vol. 10(C), pages 71-95.
    14. Teresa Bago d'Uva & Esen Erdogan Ciftci & Owen O'Donnell & Eddy van Doorslaer, 2015. "Who can predict their Own Demise? Accuracy of Longevity Expectations by Education and Cognition," Tinbergen Institute Discussion Papers 15-052/V, Tinbergen Institute.
    15. Owen Davis & Siavash Radpour, 2021. "Dissecting the Pandemic Retirement Surge," SCEPA publication series. 2021-05, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    16. Maurice J.G. Bun & Vasilis Sarafidis & Richard Kelaher, 2016. "Crime, Deterrence and Punishment Revisited," UvA-Econometrics Working Papers 16-02, Universiteit van Amsterdam, Dept. of Econometrics.
    17. Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, vol. 5(1), pages 1-54, March.
    18. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Large sample properties of an IV estimator based on the Ahn and Schmidt moment conditions," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-37-19, University of Passau, Faculty of Business and Economics.
    19. Pua, Andrew Adrian Yu & Fritsch, Markus & Schnurbus, Joachim, 2019. "Practical aspects of using quadratic moment conditions in linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-38-19, University of Passau, Faculty of Business and Economics.
    20. Juodis, Arturas & Sarafidis, Vasilis, 2020. "Online Supplement to An Incidental Parameters Free Inference Approach for Panels with Common Shocks," MPRA Paper 104908, University Library of Munich, Germany.
    21. Ryo Okui & Wendun Wang, 2018. "Heterogeneous structural breaks in panel data models," Papers 1801.04672, arXiv.org, revised Nov 2018.
    22. Arthur Grimes & Eyal Apatov & Larissa Lutchman & Anna Robinson, 2016. "Eighty years of urban development in New Zealand: impacts of economic and natural factors," New Zealand Economic Papers, Taylor & Francis Journals, vol. 50(3), pages 303-322, September.
    23. Arturas Juodis & Sarafidis, V., 2015. "A Simple Estimator for Short Panels with Common Factors," UvA-Econometrics Working Papers 15-03, Universiteit van Amsterdam, Dept. of Econometrics.
    24. Yamagata, Takashi, 2008. "A joint serial correlation test for linear panel data models," Journal of Econometrics, Elsevier, vol. 146(1), pages 135-145, September.
    25. Fritsch, Markus & Pua, Andrew Adrian Yu & Schnurbus, Joachim, 2019. "Pdynmc - An R-package for estimating linear dynamic panel data models based on linear and nonlinear moment conditions," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-39-19, University of Passau, Faculty of Business and Economics.
    26. In Choi, 2016. "Cross-sectional maximum likelihood and bias-corrected pooled least squares estimators for dynamic panels with short T," Working Papers 1610, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    27. Courage Mlambo & Forget Kapingura, 2020. "Remittances and Economic Development: Evidence from SADC Countries?," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 8(4), pages 261-273.
    28. Alexander Chudik & M. Hashem Pesaran, 2017. "A Bias-Corrected Method of Moments Approach to Estimation of Dynamic Short-T Panels," CESifo Working Paper Series 6688, CESifo.
    29. Markus Eberhardt, 2013. "Nonlinearities in the Relationship between Debt and Growth: Evidence from Co-Summability Testing," Discussion Papers 2013/06, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    30. Ma³gorzata Jab³oñska & Joanna, 2020. "The key factors affecting entrepreneurship: a comparative analysis," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 38(1), pages 125-146.
    31. Gustavo A. Marrero & Luis Servén, 2022. "Growth, inequality and poverty: a robust relationship?," Empirical Economics, Springer, vol. 63(2), pages 725-791, August.
    32. Tue Gorgens & Chirok Han & Sen Xue, 2016. "Asymptotic distributions of the quadratic GMM estimator in linear dynamic panel data models," ANU Working Papers in Economics and Econometrics 2016-635, Australian National University, College of Business and Economics, School of Economics.
    33. Rilind Kabashi, 2014. "The Cyclical Character of Fiscal Policy in Transition Countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 57-73.
    34. Hayakawa, Kazuhiko & Nagata, Shuichi, 2016. "On the behaviour of the GMM estimator in persistent dynamic panel data models with unrestricted initial conditions," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 265-303.
    35. Bram Gootjes & Jakob Haan & Richard Jong-A-Pin, 2021. "Do fiscal rules constrain political budget cycles?," Public Choice, Springer, vol. 188(1), pages 1-30, July.
    36. 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.
    37. Anirudh Shingal, 2014. "Services globalization and sub-national demand linkages: The case of India," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 5(01), pages 1-23.
    38. Fritsch, Markus, 2019. "On GMM estimation of linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-36-19, University of Passau, Faculty of Business and Economics.
    39. Westerlund, Joakim & Norkute, Milda, 2014. "A Factor Analytical Method to Interactive Effects Dynamic Panel Models with or without Unit Root," Working Papers 2014:12, Lund University, Department of Economics.
    40. Bergman, U. Michael & Hutchison, Michael M. & Jensen, Svend E. Hougaard, 2016. "Promoting sustainable public finances in the European Union: The role of fiscal rules and government efficiency," European Journal of Political Economy, Elsevier, vol. 44(C), pages 1-19.

  8. Maurice J.G. Bun & Frank Windmeijer, 2007. "The Weak Instrument Problem of the System GMM Estimator in Dynamic Panel Data Models," Bristol Economics Discussion Papers 07/595, School of Economics, University of Bristol, UK.

    Cited by:

    1. MacDonald, Ronald & Vieira, Flávio & Damasceno, Aderbal, 2010. "The Role of Institutions in Cross-Section Income and Panel Data Growth Models: A Deeper Investigation on the Weakness and Proliferation of Instruments," SIRE Discussion Papers 2010-50, Scottish Institute for Research in Economics (SIRE).
    2. von Gaessler, Anne Edle & Ziesemer, Thomas, 2016. "Optimal education in times of ageing: The dependency ratio in the Uzawa–Lucas growth model," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 125-142.
    3. Didier Yelognisse Alia & Romuald E. Kouadio Anago, 2014. "Foreign Aid Effectiveness in African Economies: Evidence from a Panel Threshold Framework," WIDER Working Paper Series wp-2014-015, World Institute for Development Economic Research (UNU-WIDER).
    4. Thomas Ziesemer, 2016. "The Impact of Development Aid on Education and Health: Survey and New Evidence for Low‐income Countries from Dynamic Models," Journal of International Development, John Wiley & Sons, Ltd., vol. 28(8), pages 1358-1380, November.
    5. De Wachter, Stefan & Tzavalis, Elias, 2012. "Detection of structural breaks in linear dynamic panel data models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3020-3034.
    6. Erasmo Papagni, 2019. "Fertility Transitions in Developing Countries: Convergence, Timing, and Causes," Working Papers 2019.29, Fondazione Eni Enrico Mattei.
    7. Gründler, Klaus & Scheuermeyer, Philipp, 2018. "Growth effects of inequality and redistribution: What are the transmission channels?," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 293-313.
    8. Marius BRÜLHART & Nicole A. MATHYS, 2007. "Sectoral Agglomeration Economies in a Panel of European Regions," Cahiers de Recherches Economiques du Département d'économie 07.04, Université de Lausanne, Faculté des HEC, Département d’économie.
    9. Elizabeth N. Appiah, 2017. "The Effect of Education Expenditure on Per Capita GDP in Developing Countries," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(10), pages 136-144, October.
    10. Patrick Guillaumont & Laurent Wagner, 2014. "Aid effectiveness for poverty reduction: lessons from cross-country analyses, with a special focus on vulnerable countries," Post-Print halshs-01112609, HAL.
    11. Zhang, Ziqi & Su, Zhi & Wang, Ke & Zhang, Yongji, 2022. "Corporate environmental information disclosure and stock price crash risk: Evidence from Chinese listed heavily polluting companies," Energy Economics, Elsevier, vol. 112(C).
    12. In Choi & Sanghyun Jung, 2020. "Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Working Papers 2007, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    13. Cooray, Arusha & Dutta, Nabamita & Mallick, Sushanta, 2017. "The right to be free: is media freedom good news for women's rights?," Journal of Institutional Economics, Cambridge University Press, vol. 13(2), pages 327-355, June.
    14. Xixuan Guo & Kaixiang Huang & Lanyu Li & Xiaonan Wang, 2022. "Renewable Energy for Balancing Carbon Emissions and Reducing Carbon Transfer under Global Value Chains: A Way Forward," Sustainability, MDPI, vol. 15(1), pages 1-17, December.
    15. Belkhir, Mohamed & Naceur, Sami Ben & Candelon, Bertrand & Wijnandts, Jean-Charles, 2022. "Macroprudential policies, economic growth and banking crises," Emerging Markets Review, Elsevier, vol. 53(C).
    16. Vincenzo Bove & Leandro Elia, 2011. "Supplying peace: Participation in and troop contribution to peacekeeping missions," Journal of Peace Research, Peace Research Institute Oslo, vol. 48(6), pages 699-714, November.
    17. Brown, Timothy Tyler, 2014. "How effective are public health departments at preventing mortality?," Economics & Human Biology, Elsevier, vol. 13(C), pages 34-45.
    18. Biørn, Erik, 2012. "The Measurement Error Problem in Dynamic Panel Data Analysis: Modeling and GMM Estimation," Memorandum 02/2012, Oslo University, Department of Economics.
    19. Ragnar Nymoen & Kari Pedersen & Jon Ivar Sjåberg, 2019. "Estimation of Effects of Recent Macroprudential Policies in a Sample of Advanced Open Economies," IJFS, MDPI, vol. 7(2), pages 1-20, May.
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    Cited by:

    1. Roberto Patuelli & Norbert Schanne & Daniel A. Griffith & Peter Nijkamp, 2009. "Persistence of Regional Unemployment: Application of a Spatial Filtering Approach to Local Labour Markets in Germany," Working Paper series 49_09, Rimini Centre for Economic Analysis, revised Nov 2011.
    2. Vahagn Grigoryan & Arpine Dallakyan, 2007. "Equilibrium Real Exchange Rate Model of Armenia," Working Papers 1, Central Bank of the Republic of Armenia.
    3. Narayanan, Sridhar & Nair, Harikesh S., 2011. "Estimating Causal Installed-Base Effects: A Bias-Correction Approach," Research Papers 2076, Stanford University, Graduate School of Business.
    4. Chaoqun Fan & Ahmed Usman, 2024. "How Does Renewable Energy Respond to Financial Globalization and Information and Communications Technology Trade?," Energies, MDPI, vol. 17(3), pages 1-18, February.
    5. Yang, Zhenlin, 2015. "A general method for third-order bias and variance corrections on a nonlinear estimator," Journal of Econometrics, Elsevier, vol. 186(1), pages 178-200.
    6. Dauda Mohammed, 2014. "Causality Test Of Business Risk And Capital Structure In A Panel Data Of Nigerian Listed Firms," Accounting & Taxation, The Institute for Business and Finance Research, vol. 6(2), pages 85-99.
    7. In Choi & Sanghyun Jung, 2020. "Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Working Papers 2007, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    8. Baltagi, Badi H. & Feng, Qu & Kao, Chihwa, 2012. "A Lagrange Multiplier test for cross-sectional dependence in a fixed effects panel data model," Journal of Econometrics, Elsevier, vol. 170(1), pages 164-177.
    9. Emna Trabelsi, 2016. "Transparency on inflation of OECD countries? An Application of LSDVC Estimator on a dynamic Panel Model," Economics Bulletin, AccessEcon, vol. 36(2), pages 1095-1126.
    10. Gonçalves, Sílvia & Kaffo, Maximilien, 2015. "Bootstrap inference for linear dynamic panel data models with individual fixed effects," Journal of Econometrics, Elsevier, vol. 186(2), pages 407-426.
    11. Emna Trabelsi, 2016. "What effects exert Economic Globalization and Central Bank Transparency on inflation of OECD countries? An Application of LSDVC Estimator on a dynamic Panel Model," Working Papers hal-01157387, HAL.
    12. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
    13. Hugo J. Faria & Hugo M. Montesinos-Yufa, 2017. "Is the Effect of Income on Democracy Heterogeneous?," Working Papers 2017-05, University of Miami, Department of Economics.
    14. Alexander Chudik & M. Hashem Pesaran, 2017. "An Augmented Anderson-Hsiao Estimator for Dynamic Short-T Panels," Globalization Institute Working Papers 327, Federal Reserve Bank of Dallas, revised 27 Mar 2021.
    15. Henryk Gurgul & Łukasz Lach, 2019. "Regional patterns in technological progress of Poland: the role of EU structural funds," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(4), pages 1195-1220, December.
    16. Usman, Ojonugwa & Alola, Andrew Adewale & Akadiri, Seyi Saint, 2022. "Effects of domestic material consumption, renewable energy, and financial development on environmental sustainability in the EU-28: Evidence from a GMM panel-VAR," Renewable Energy, Elsevier, vol. 184(C), pages 239-251.
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    18. Jean-Thomas Bernard & Michael Gavin & Lynda Khalaf & Marcel Voia, 2011. "The Environmental Kuznets Curve: Tipping Points, Uncertainty and Weak Identification," Cahiers de recherche CREATE 2011-4, CREATE.
    19. Geert Dhaene & Koen Jochmans, 2016. "Likelihood Inference in an Autoregression with Fixed Effects," Post-Print hal-03391995, HAL.
    20. Shew Fan Liu & Zhenlin Yang, 2015. "Asymptotic Distribution and Finite Sample Bias Correction of QML Estimators for Spatial Error Dependence Model," Econometrics, MDPI, vol. 3(2), pages 1-36, May.
    21. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 72587, University Library of Munich, Germany.
    22. 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 110375, University Library of Munich, Germany, revised 15 Aug 2021.
    23. A. M. Angulo & J. Mur & F. J. Trívez, 2018. "Measuring resilience to economic shocks: an application to Spain," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(2), pages 349-373, March.
    24. Devdatta Ray & Mikael Linden, 2020. "Health expenditure, longevity, and child mortality: dynamic panel data approach with global data," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 99-119, March.
    25. Castrén, Olli & Dées, Stéphane & Zaher, Fadi, 2008. "Global macro-financial shocks and expected default frequencies in the euro area," Working Paper Series 875, European Central Bank.
    26. David Martinez-Miera & Rafael Repullo, 2019. "Monetary Policy, Macroprudential Policy, and Financial Stability," Working Papers wp2019_1901, CEMFI.
    27. Norkutė, Milda & Westerlund, Joakim, 2019. "The factor analytical method for interactive effects dynamic panel models with moving average errors," Econometrics and Statistics, Elsevier, vol. 11(C), pages 83-104.
    28. Carneiro, Anabela & Portugal, Pedro & Raposo, Pedro & Rodrigues, Paulo M.M., 2023. "The persistence of wages," Journal of Econometrics, Elsevier, vol. 233(2), pages 596-611.
    29. Artūras Juodis, 2018. "Rank based cointegration testing for dynamic panels with fixed T," Empirical Economics, Springer, vol. 55(2), pages 349-389, September.
    30. Melcarne, Alessandro & Ramello, Giovanni B. & Spruk, Rok, 2021. "Is justice delayed justice denied? An empirical approach," International Review of Law and Economics, Elsevier, vol. 65(C).
    31. Daniel L. Millimet & Ian K. McDonough, 2017. "Dynamic Panel Data Models With Irregular Spacing: With an Application to Early Childhood Development," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 725-743, June.
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    33. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
    34. Fabrice Murtin & Romain Wacziarg, 2011. "The Democratic Transition," NBER Working Papers 17432, National Bureau of Economic Research, Inc.
    35. Simona Malovana, 2018. "The Pro-Cyclicality of Risk Weights for Credit Exposures in the Czech Republic," Working Papers 2018/12, Czech National Bank.
    36. Kyoo Il Kim, 2016. "Higher Order Bias Correcting Moment Equation for M-Estimation and Its Higher Order Efficiency," Econometrics, MDPI, vol. 4(4), pages 1-19, December.
    37. Bonga-Bonga, Lumengo, 2017. "Fiscal policy, Monetary policy and External imbalances: Cross-country evidence from Africa’s three largest economies (Nigeria, South Africa and Egypt)," MPRA Paper 79490, University Library of Munich, Germany.
    38. Balázs Egert, 2012. "Fiscal Policy Reaction to the Cycle in the OECD: Pro- or Counter-cyclical?," Working Papers hal-04141091, HAL.
    39. Ignace De Vos & Gerdie Everaert & Ilse Ruyssen, 2015. "Bootstrap-Based Bias Correction And Inference For Dynamic Panels With Fixed Effects," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/906, Ghent University, Faculty of Economics and Business Administration.
    40. M. Del Gatto & A. Di Liberto & C. Petraglia, 2008. "Measuring Productivity," Working Paper CRENoS 200818, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    41. Gerdie Everaert & Tom De Groote, 2016. "Common Correlated Effects Estimation of Dynamic Panels with Cross-Sectional Dependence," Econometric Reviews, Taylor & Francis Journals, vol. 35(3), pages 428-463, March.
    42. de Guimarães e Souza, Gustavo José & de Mendonça, Helder Ferreira & de Andrade, Joaquim Pinto, 2016. "Inflation targeting on output growth: A pulse dummy analysis of dynamic macroeconomic panel data," Economic Systems, Elsevier, vol. 40(1), pages 145-169.
    43. Mahir Binici & Yin-Wong Cheung & Kon S. Lai, 2012. "Trade Openness, Market Competition, and Inflation : Some Sectoral Evidence from OECD Countries," Working Papers 1206, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    44. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    45. 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.
    46. Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, vol. 5(1), pages 1-54, March.
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    48. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Discussion Paper 2023-028, Tilburg University, Center for Economic Research.
    49. Bo Malmberg, 2010. "Low Fertility and the Housing Market: Evidence from Swedish Regional Data [Basse Fécondité et Marché du Logement: Une Analyse de Données Régionales Suédoises]," European Journal of Population, Springer;European Association for Population Studies, vol. 26(2), pages 229-244, May.
    50. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    51. Rodrigo Alfaro, 2008. "Estimation of a Dynamic Panel Data: The Case Of Corporate Investment in Chile," Working Papers Central Bank of Chile 467, Central Bank of Chile.
    52. Michael R.M. Abrigo & Inessa Love, 2016. "Estimation of Panel Vector Autoregression in Stata: a Package of Programs," Working Papers 201602, University of Hawaii at Manoa, Department of Economics.
    53. Dzhumashev, Ratbek & Hailemariam, Abebe, 2021. "Foreign aid and the quality of economic institutions," European Journal of Political Economy, Elsevier, vol. 68(C).
    54. Mehrabani, Ali, 2023. "Estimation and identification of latent group structures in panel data," Journal of Econometrics, Elsevier, vol. 235(2), pages 1464-1482.
    55. Arturas Juodis, 2015. "Iterative Bias Correction Procedures Revisited: A Small Scale Monte Carlo Study," UvA-Econometrics Working Papers 15-02, Universiteit van Amsterdam, Dept. of Econometrics.
    56. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
    57. Zhenlin Yang, 2014. "Initial-Condition Free Estimation of Fixed Effects Dynamic Panel Data Models," Working Papers 16-2014, Singapore Management University, School of Economics.
    58. Ricardo Barradas, 2023. "Why Has Labor Productivity Slowed Down in the Era of Financialization?: Insights from the Post-Keynesians for the European Union Countries," Review of Radical Political Economics, Union for Radical Political Economics, vol. 55(3), pages 390-422, September.
    59. Arturas Juodis, 2013. "First Difference Transformation in Panel VAR models: Robustness, Estimation and Inference," UvA-Econometrics Working Papers 13-06, Universiteit van Amsterdam, Dept. of Econometrics.
    60. Lee, Yoonseok, 2012. "Bias in dynamic panel models under time series misspecification," Journal of Econometrics, Elsevier, vol. 169(1), pages 54-60.
    61. Evzen Kocenda & Karen Poghosyan, 2017. "Export sophistication: A dynamic panel data approach," Working Papers 8, Central Bank of the Republic of Armenia.
    62. Balázs Égert, 2010. "Catching-up and Inflation in Europe: Balassa-Samuelson, Engel's Law and Other Culprits," OECD Economics Department Working Papers 792, OECD Publishing.
    63. Aart Kraay & Roy Weide, 2022. "Measuring intragenerational mobility using aggregate data," Journal of Economic Growth, Springer, vol. 27(2), pages 273-314, June.
    64. Ignace De Vos & Gerdie Everaert, 2016. "Bias-Corrected Common Correlated Effects Pooled Estimation In Homogeneous Dynamic Panels," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 16/920, Ghent University, Faculty of Economics and Business Administration.
    65. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    66. Alexander Chudik & M. Hashem Pesaran & Jui-Chung Yang, 2016. "Half-panel jackknife fixed effects estimation of panels with weakly exogenous regressor," Globalization Institute Working Papers 281, Federal Reserve Bank of Dallas.
    67. Malovaná, Simona & Kolcunová, Dominika & Brož, Václav, 2019. "Does monetary policy influence banks’ risk weights under the internal ratings-based approach?," Economic Systems, Elsevier, vol. 43(2), pages 1-1.
    68. Donato, Romano & Carraro, Alessandro, 2015. "Modelling Acreage, Production and Yield Supply Response to Domestic Price Volatility," 2015 Fourth Congress, June 11-12, 2015, Ancona, Italy 207278, Italian Association of Agricultural and Applied Economics (AIEAA).
    69. 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.
    70. Alexander Chudik & M. Hashem Pesaran, 2017. "A Bias-Corrected Method of Moments Approach to Estimation of Dynamic Short-T Panels," CESifo Working Paper Series 6688, CESifo.
    71. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
    72. Roberta Piergiovanni & Martin Carree & Enrico Santarelli, 2009. "Creative Industries, New Business Formation and Regional Economic Growth," Jena Economics Research Papers 2009-020, Friedrich-Schiller-University Jena.
    73. Geert Dhaene & Koen Jochmans, 2011. "An Adjusted profile likelihood for non-stationary panel data models with fixed effects," Working Papers hal-01073732, HAL.
    74. Bun, Maurice J.G. & Carree, Martin A., 2006. "Bias-corrected estimation in dynamic panel data models with heteroscedasticity," Economics Letters, Elsevier, vol. 92(2), pages 220-227, August.
    75. J. Elhorst, 2012. "Dynamic spatial panels: models, methods, and inferences," Journal of Geographical Systems, Springer, vol. 14(1), pages 5-28, January.
    76. G. Everaert, 2009. "Using Backward Means to Eliminate Individual Effects from Dynamic Panels," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/553, Ghent University, Faculty of Economics and Business Administration.
    77. Armand Viljoen & Andrea Saayman & Melville Saayman, 2019. "Determinants influencing inbound arrivals to Africa," Tourism Economics, , vol. 25(6), pages 856-883, September.
    78. 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.
    79. Jones, Sam & Tarp, Finn, 2016. "Does foreign aid harm political institutions?," Journal of Development Economics, Elsevier, vol. 118(C), pages 266-281.
    80. M. Carree & A. Della Malva & E. Santarelli, 2011. "The Contribution of Universities to Growth: Empirical Evidence for Italy," Working Papers wp793, Dipartimento Scienze Economiche, Universita' di Bologna.
    81. Chihwa Kao & Long Liu & Rui Sun, 2021. "A bias-corrected fixed effects estimator in the dynamic panel data model," Empirical Economics, Springer, vol. 60(1), pages 205-225, January.
    82. Chi‐Young Choi & Nelson C. Mark & Donggyu Sul, 2010. "Bias Reduction in Dynamic Panel Data Models by Common Recursive Mean Adjustment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(5), pages 567-599, October.
    83. Kotschy, Rainer & Sunde, Uwe, 2017. "Democracy, inequality, and institutional quality," European Economic Review, Elsevier, vol. 91(C), pages 209-228.
    84. Blazsek, Szabolcs & Escribano, Álvaro, 2012. "Patents, secret innovations and firm's rate of return : differential effects of the innovation leader," UC3M Working papers. Economics we1202, Universidad Carlos III de Madrid. Departamento de Economía.
    85. Olaf Posch, 2009. "Explaining Output Volatility: The Case of Taxation," CESifo Working Paper Series 2751, CESifo.
    86. Yang, Zhenlin & Yu, Jihai & Liu, Shew Fan, 2016. "Bias correction and refined inferences for fixed effects spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 61(C), pages 52-72.
    87. Hayakawa, Kazuhiko & Nagata, Shuichi, 2016. "On the behaviour of the GMM estimator in persistent dynamic panel data models with unrestricted initial conditions," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 265-303.
    88. Sasaki, Shusaku, 2019. "Majority size and conformity behavior in charitable giving: Field evidence from a donation-based crowdfunding platform in Japan," Journal of Economic Psychology, Elsevier, vol. 70(C), pages 36-51.
    89. Nikolay Gospodinov & Ivana Komunjer & Serena Ng, 2014. "Minimum Distance Estimation of Dynamic Models with Errors-In-Variables," FRB Atlanta Working Paper 2014-11, Federal Reserve Bank of Atlanta.
    90. Shiyun Cao & Yonghui Zhang & Qiankun Zhou, 2021. "2SLS and IV Estimation of Dynamic Panel Models with Heterogeneous Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1408-1431, December.
    91. Brajendra C. Sutradhar & R. Prabhakar Rao, 2023. "Asymptotic Inferences in a Doubly-Semi-Parametric Linear Longitudinal Mixed Model," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 214-247, February.
    92. 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.
    93. Michael Creel, 2009. "A Data Mining Approach to Indirect Inference," UFAE and IAE Working Papers 788.09, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC), revised 25 Oct 2009.
    94. Almer, Christian & Laurent-Lucchetti, Jérémy & oechslin, Manuel, 2011. "Income shocks and social unrest: theory and evidence," MPRA Paper 34426, University Library of Munich, Germany.
    95. Maria Elena Bontempi & Roberto Golinelli, 2012. "The effect of neglecting the slope parameters’ heterogeneity on dynamic models of corporate capital structure," Quantitative Finance, Taylor & Francis Journals, vol. 12(11), pages 1733-1751, November.
    96. Khalaf, Lynda & Saunders, Charles J., 2020. "Monte Carlo two-stage indirect inference (2SIF) for autoregressive panels," Journal of Econometrics, Elsevier, vol. 218(2), pages 419-434.
    97. Juodis, Artūras, 2013. "A note on bias-corrected estimation in dynamic panel data models," Economics Letters, Elsevier, vol. 118(3), pages 435-438.
    98. Ilse Ruyssen & Gerdie Everaert & Glenn Rayp, 2014. "Determinants and dynamics of migration to OECD countries in a three-dimensional panel framework," Empirical Economics, Springer, vol. 46(1), pages 175-197, February.
    99. Sebastian Kripfganz & Jörg Breitung, 2022. "Bias-corrected estimation of linear dynamic panel data models," London Stata Conference 2022 05, Stata Users Group.
    100. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Other publications TiSEM 9bf2c16c-522f-4223-8037-c, Tilburg University, School of Economics and Management.
    101. Opolska, Iweta, 2017. "The efficacy of liberalization and privatization in introducing competition into European natural gas markets," Utilities Policy, Elsevier, vol. 48(C), pages 12-21.
    102. Everaert, Gerdie & Pozzi, Lorenzo, 2007. "Bootstrap-based bias correction for dynamic panels," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1160-1184, April.
    103. Yong Bao, 2021. "Indirect Inference Estimation of a First-Order Dynamic Panel Data Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(1), pages 79-98, December.
    104. Kazuhiko Hayakawa, 2007. "Consistent OLS estimation of AR(1) dynamic panel data models with short time series," Applied Economics Letters, Taylor & Francis Journals, vol. 14(15), pages 1141-1145.
    105. Vinzenz Peters & Jingtian Wang & Mark Sanders, 2023. "Resilience to extreme weather events and local financial structure of prefecture-level cities in China," Climatic Change, Springer, vol. 176(9), pages 1-21, September.
    106. Kruiniger, Hugo, 2008. "Maximum likelihood estimation and inference methods for the covariance stationary panel AR(1)/unit root model," Journal of Econometrics, Elsevier, vol. 144(2), pages 447-464, June.
    107. Vendrik, Maarten C.M., 2013. "Adaptation, anticipation and social interaction in happiness: An integrated error-correction approach," Journal of Public Economics, Elsevier, vol. 105(C), pages 131-149.
    108. Helder Ferreira de Mendonça & Igor da Silva Veiga, 2017. "The open economy trilemma in Latin America: A three-decade analysis," International Finance, Wiley Blackwell, vol. 20(2), pages 135-154, June.
    109. Giovanni S.F. Bruno, 2004. "Approximating the bias of the LSDV estimator for dynamic panel data models," United Kingdom Stata Users' Group Meetings 2004 2, Stata Users Group.
    110. Castrén, Olli & Dées, Stéphane & Zaher, Fadi, 2010. "Stress-testing euro area corporate default probabilities using a global macroeconomic model," Journal of Financial Stability, Elsevier, vol. 6(2), pages 64-78, June.
    111. 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.
    112. Lee, Lung-fei & Yu, Jihai, 2010. "Some recent developments in spatial panel data models," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 255-271, September.

  10. Maurice J.G. Bun & Abdel El Makhloufi, 2002. "Dynamic externalities, local industrial structure and economic development: panel data evidence for Morocco," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D5-2, International Conferences on Panel Data.

    Cited by:

    1. Francesca Mameli & Simona Iammarino & Ron Boschma, 2012. "Regional variety and employment growth in Italian labour market areas: services versus manufacturing industries," Working Papers 4, Birkbeck Centre for Innovation Management Research, revised Mar 2012.
    2. DRIDI, Manel, 2015. "Dynamic Externalities and Regional Development: The case of Tunisia," MPRA Paper 66988, University Library of Munich, Germany.
    3. Shimei Weng & Jianbao Chen, 2023. "How Does Industrial Upgrading Affect Carbon Productivity in China’s Service Industry?," Sustainability, MDPI, vol. 15(13), pages 1-20, July.
    4. Khaled Thabet, 2015. "Industrial structure and total factor productivity: the Tunisian manufacturing sector between 1998 and 2004," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(2), pages 639-662, March.
    5. Wang, Jian & Sun, Furong & Lv, Kangjuan & Wang, Lisha, 2022. "Industrial agglomeration and firm energy intensity: How important is spatial proximity?," Energy Economics, Elsevier, vol. 112(C).
    6. Mohamed Amara & Mohamed Ayadi, 2011. "Local Employment Growth in the Coastal Area of Tunisia: A Dynamic Spatial Panel Approach," Working Papers 650, Economic Research Forum, revised 12 Jan 2011.
    7. ZHAO Ting & ZHAO Wei, 2012. "Dynamic Externalities and Manufacturing Productivity: An empirical comparison among China's top three municipalities," Discussion papers 12072, Research Institute of Economy, Trade and Industry (RIETI).
    8. Michał Pluciński & Izabela Kotowska & Marta Mańkowska & Ludmiła Filina-Dawidowicz, 2023. "Research on Diversification Strategies of Terminal Operators—Evidence from Polish Seaports," Sustainability, MDPI, vol. 15(7), pages 1-18, March.
    9. Zheng, Xiao-Ping, 2010. "A cointegration analysis of dynamic externalities," Japan and the World Economy, Elsevier, vol. 22(2), pages 130-140, March.
    10. Georgios Fotopoulos & Dimitris Kallioras & George Petrakos, 2010. "Spatial variations of Greek manufacturing employment growth: The effects of specialization and international trade," Papers in Regional Science, Wiley Blackwell, vol. 89(1), pages 109-133, March.
    11. Rosa Bernardini Papalia & Silvia Bertarelli, 2009. "Decomposing productivity patterns in a conditional convergence framework," Journal of Productivity Analysis, Springer, vol. 31(1), pages 57-75, February.
    12. Qing Liu & Jian Wang, 2022. "Spatial agglomeration and firm productivity: Does trade status matter?," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(S2), pages 5-18, November.

  11. Maurice J. G. Bun, 2000. "Bias Correction in the Dynamic Panel Data Model with a Nonscalar Disturbance Covariance Matrix," Econometric Society World Congress 2000 Contributed Papers 0511, Econometric Society.

    Cited by:

    1. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
    2. Alexander Chudik & M. Hashem Pesaran, 2017. "An Augmented Anderson-Hsiao Estimator for Dynamic Short-T Panels," Globalization Institute Working Papers 327, Federal Reserve Bank of Dallas, revised 27 Mar 2021.
    3. Devdatta Ray & Mikael Linden, 2020. "Health expenditure, longevity, and child mortality: dynamic panel data approach with global data," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 99-119, March.
    4. Norkutė, Milda & Westerlund, Joakim, 2019. "The factor analytical method for interactive effects dynamic panel models with moving average errors," Econometrics and Statistics, Elsevier, vol. 11(C), pages 83-104.
    5. Simona Malovana, 2018. "The Pro-Cyclicality of Risk Weights for Credit Exposures in the Czech Republic," Working Papers 2018/12, Czech National Bank.
    6. Ignace De Vos & Gerdie Everaert & Ilse Ruyssen, 2015. "Bootstrap-Based Bias Correction And Inference For Dynamic Panels With Fixed Effects," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/906, Ghent University, Faculty of Economics and Business Administration.
    7. G. Everaert & L. Pozzi, 2004. "Bootstrap Based Bias Correction for Homogeneous Dynamic²² Panels," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/263, Ghent University, Faculty of Economics and Business Administration.
    8. Bao, Yong & Yu, Xuewen, 2023. "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, vol. 235(2), pages 1027-1053.
    9. Alexander Chudik & M. Hashem Pesaran & Jui-Chung Yang, 2016. "Half-panel jackknife fixed effects estimation of panels with weakly exogenous regressor," Globalization Institute Working Papers 281, Federal Reserve Bank of Dallas.
    10. Alexander Chudik & M. Hashem Pesaran, 2017. "A Bias-Corrected Method of Moments Approach to Estimation of Dynamic Short-T Panels," CESifo Working Paper Series 6688, CESifo.
    11. G. Everaert, 2009. "Using Backward Means to Eliminate Individual Effects from Dynamic Panels," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/553, Ghent University, Faculty of Economics and Business Administration.
    12. 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.
    13. Chihwa Kao & Long Liu & Rui Sun, 2021. "A bias-corrected fixed effects estimator in the dynamic panel data model," Empirical Economics, Springer, vol. 60(1), pages 205-225, January.
    14. Giovanni S. F. Bruno & Misbah Choudhry Tanveer & Enrico Marelli & Marcello Signorelli, 2017. "The short- and long-run impacts of financial crises on youth unemployment in OECD countries," Applied Economics, Taylor & Francis Journals, vol. 49(34), pages 3372-3394, July.
    15. Ilse Ruyssen & Gerdie Everaert & Glenn Rayp, 2014. "Determinants and dynamics of migration to OECD countries in a three-dimensional panel framework," Empirical Economics, Springer, vol. 46(1), pages 175-197, February.
    16. Opolska, Iweta, 2017. "The efficacy of liberalization and privatization in introducing competition into European natural gas markets," Utilities Policy, Elsevier, vol. 48(C), pages 12-21.
    17. Everaert, Gerdie & Pozzi, Lorenzo, 2007. "Bootstrap-based bias correction for dynamic panels," Journal of Economic Dynamics and Control, Elsevier, vol. 31(4), pages 1160-1184, April.

Articles

  1. Bun, Maurice J.G. & Windmeijer, Frank, 2011. "A comparison of bias approximations for the two-stage least squares (2SLS) estimator," Economics Letters, Elsevier, vol. 113(1), pages 76-79, October.

    Cited by:

    1. Guy Tchuente, 2021. "A Note on the Topology of the First Stage of 2SLS with Many Instruments," Papers 2106.15003, arXiv.org.
    2. Phillips, Garry David Alan & Wang, Dandan, 2019. "Bias assessment and reduction for the 2SLS estimator in general dynamic simultaneous equations models," DES - Working Papers. Statistics and Econometrics. WS 28322, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Manuel Denzer & Constantin Weiser, 2021. "Beyond F-statistic - A General Approach for Assessing Weak Identification," Working Papers 2107, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    4. Namhyun Kim & Winfried Pohlmeier, 2016. "A Note on the Regularized Approach to Biased 2SLS Estimation with Weak Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 915-924, December.
    5. McDonough, Ian K. & Millimet, Daniel L., 2016. "Missing Data, Imputation, and Endogeneity," IZA Discussion Papers 10402, Institute of Labor Economics (IZA).
    6. Arel-Bundock, Vincent, 2013. "A solution to the weak instrument bias in 2SLS estimation: Indirect inference with stochastic approximation," Economics Letters, Elsevier, vol. 120(3), pages 495-498.
    7. Macheret, Dmitry A. (Мачерет, Дмитрий А.) & Valeev, Nadir A. (Валеев, Надир А.) & Kudryavtseva, Anastasiya V. (Кудрявцева, Анастасия В.), 2018. "Formation of the Railway Network: Diffusion of Epochal Innovation and Economic Growth [Формирование Железнодорожной Сети: Диффузия Эпохальной Инновации И Экономический Рост]," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 252-279, February.
    8. Nam-Hyun Kim & Winfried Pohlmeier, 2015. "A Regularization Approach to Biased Two-Stage Least Squares Estimation," Working Paper series 15-22, Rimini Centre for Economic Analysis.
    9. Chengete Chakamera & Paul Alagidede, 2018. "Electricity crisis and the effect of CO2 emissions on infrastructure-growth nexus in Sub Saharan Africa," Working Papers 731, Economic Research Southern Africa.
    10. Millimet, Daniel L., 2015. "Covariate measurement and endogeneity," Economics Letters, Elsevier, vol. 136(C), pages 59-63.
    11. Phillips, Garry D.A. & Liu-Evans, Gareth, 2016. "Approximating and reducing bias in 2SLS estimation of dynamic simultaneous equation models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 734-762.
    12. Yiqi Lin & Frank Windmeijer & Xinyuan Song & Qingliang Fan, 2022. "On the instrumental variable estimation with many weak and invalid instruments," Papers 2207.03035, arXiv.org, revised Dec 2023.
    13. Akaev, Askar (Акаев, Аскар) & Rudskoy, Andrey (Рудской, Андрей), 2014. "The synergistic effect of NBIC-technologies and world economic growth in the first half of the XXI century [Синергетический Эффект Nbic-Технологий И Мировой Экономический Рост В Первой Половине Xxi," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 2, pages 25-46.

  2. Maurice J. G. Bun & Frank Windmeijer, 2010. "The weak instrument problem of the system GMM estimator in dynamic panel data models," Econometrics Journal, Royal Economic Society, vol. 13(1), pages 95-126, February.
    See citations under working paper version above.
  3. Sander Triest & Maurice Bun & Erik Raaij & Maarten Vernooij, 2009. "The impact of customer-specific marketing expenses on customer retention and customer profitability," Marketing Letters, Springer, vol. 20(2), pages 125-138, June.

    Cited by:

    1. Doug J. Chung & Byungyeon Kim & Byoung G. Park, 2019. "How Do Sales Efforts Pay Off? Dynamic Panel Data Analysis in the Nerlove–Arrow Framework," Management Science, INFORMS, vol. 65(11), pages 5197-5218, November.
    2. Miocevic, Dario, 2021. "Dynamic exporting capabilities and SME’s profitability: Conditional effects of market and product diversification," Journal of Business Research, Elsevier, vol. 136(C), pages 21-32.
    3. Eugenia Y. Huang & Chia-jung Tsui, 2016. "Assessing customer retention in B2C electronic commerce: an empirical study," Journal of Marketing Analytics, Palgrave Macmillan, vol. 4(4), pages 172-185, December.
    4. Irfan, Erum & Ali, Yousaf & Sabir, Muhammad, 2022. "Analysing role of businesses’ investment in digital literacy: A case of Pakistan," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    5. Annette Ptok & Rupinder P. Jindal & Werner J. Reinartz, 2018. "Selling, general, and administrative expense (SGA)-based metrics in marketing: conceptual and measurement challenges," Journal of the Academy of Marketing Science, Springer, vol. 46(6), pages 987-1011, November.
    6. Jolley, William & Lee, Alvin & Mizerski, Richard & Sadeque, Saalem, 2013. "Permission email messages significantly increase gambler retention," Journal of Business Research, Elsevier, vol. 66(9), pages 1617-1622.

  4. Maurice J. G. Bun & Franc J. G. M. Klaassen, 2007. "The Euro Effect on Trade is not as Large as Commonly Thought," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(4), pages 473-496, August.

    Cited by:

    1. Rutger Teulings & Franc Klaassen, 2016. "Untangling Fixed Effects and Constant Regressors," Proceedings of International Academic Conferences 4106394, International Institute of Social and Economic Sciences.
    2. Matthias Helble, 2006. "Border Effect Estimates for France and Germany Combining International Trade and Intra-national Transport Flows," IHEID Working Papers 13-2006, Economics Section, The Graduate Institute of International Studies, revised Jun 2006.
    3. Costa-i-Font, Joan, 2010. "Regional single currency effects on bilateral trade with the European Union," LSE Research Online Documents on Economics 53292, London School of Economics and Political Science, LSE Library.
    4. Merih Uctum & Remzi Uctum & Chu-Ping C Vijverberg, 2021. "The European growth synchronization through crises and structural changes," Post-Print hal-03319011, HAL.
    5. Krieger-Boden, Christiane & Soltwedel, Rüdiger, 2010. "European economic integration in econometric modelling: Concepts, measures and illustration," Kiel Working Papers 1661, Kiel Institute for the World Economy (IfW Kiel).
    6. Helge Berger & Volker Nitsch, 2005. "Zooming Out: The Trade Effect of the Euro in Historical Perspective," CESifo Working Paper Series 1435, CESifo.
    7. Bernhard Herz & Marco Wagner, 2008. "Exportweltmeister Deutschland – ein Sommermärchen?," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 9(4), pages 446-464, November.
    8. Chen, Natalie & Novy, Dennis, 2021. "Gravity and Heterogeneous Trade Cost Elasticities," CAGE Online Working Paper Series 595, Competitive Advantage in the Global Economy (CAGE).
    9. Douglas L. Campbell & Aleksandr Chentsov, 2021. "Breaking Badly: The Currency Union Effect on Trade," Working Papers w0281, New Economic School (NES).
    10. Glick, Reuven & Rose, Andrew K., 2016. "Currency unions and trade: A post-EMU reassessment," European Economic Review, Elsevier, vol. 87(C), pages 78-91.
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    67. Kelejian, Harry & Tavlas, George S. & Petroulas, Pavlos, 2012. "In the neighborhood: The trade effects of the Euro in a spatial framework," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 314-322.
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    69. Mohd Hussain Kunroo & Irfan Ahmad Sofi & Naushad Ali Azad, 2016. "Trade implications of the Euro in EMU countries: a panel gravity analysis," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 43(2), pages 391-413, May.
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    72. Afolabi Luqman.O & Nor Aznin Abu Bakar & Mukhriz Izraf Azman Aziz, 2015. "Regionalism and ECOWAS Trade Performance: A Gravity Model Approach," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 29(2), pages 59-71.
    73. Pierluigi Montalbano & Silvia Nenci & Laura Dell'Agostino, 2019. "A non-parametric re-assessment of the trade effects of the euro using value added data," Working Papers 9/19, Sapienza University of Rome, DISS.
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    75. Jung Hur & Hyun-Hoon Lee, 2017. "Apec Has Indeed Created Intra-Regional Trade: A Systematic Empirical Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 62(05), pages 1077-1095, December.
    76. Van Dijk, Dick & Munandar, Haris & Hafner, Christian, 2011. "The Euro-introduction and non-Euro currencies," LIDAM Reprints ISBA 2011052, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    77. Monika Walicka, 2013. "Consequences of access to euro zone from entrepreneurs’ attitude," Ekonomia i Prawo, Uniwersytet Mikolaja Kopernika, vol. 12(4), pages 589-600, December.
    78. Herwartz, Helmut & Weber, Henning, 2013. "The role of cross-sectional heterogeneity for magnitude and timing of the euro's trade effect," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 48-74.
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    83. Baas, Timo, 2014. "Estonia and the European Monetary Union – Are there Benefits from a ""Late"" Accession?," Ruhr Economic Papers 489, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    84. María Santana-Gallego & Francisco Ledesma-Rodríguez & Jorge Pérez-Rodríguez, 2016. "The euro effect: Tourism creation, tourism diversion and tourism potential within the European Union," European Union Politics, , vol. 17(1), pages 46-68, March.
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  5. Maurice J. G. Bun & Abderrahman El Makhloufi, 2007. "Dynamic Externalities, Local Industrial Structure and Economic Development: Panel Data Evidence for Morocco," Regional Studies, Taylor & Francis Journals, vol. 41(6), pages 823-837.
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  6. Bun, Maurice J.G. & Carree, Martin A., 2006. "Bias-corrected estimation in dynamic panel data models with heteroscedasticity," Economics Letters, Elsevier, vol. 92(2), pages 220-227, August.

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    1. Klinger, Sabine & Wolf, Katja, 2008. "What explains changes in full-time and part-time employment in Western Germany? : a new method on an old question," IAB-Discussion Paper 200807, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. In Choi & Sanghyun Jung, 2020. "Cross-sectional quasi maximum likelihood and bias-corrected pooled least squares estimators for short dynamic panels," Working Papers 2007, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    3. Pesaran, Hashem & Chudik, Alexander, 2013. "Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors," Cambridge Working Papers in Economics 1317, Faculty of Economics, University of Cambridge.
    4. Alexander Chudik & M. Hashem Pesaran, 2017. "An Augmented Anderson-Hsiao Estimator for Dynamic Short-T Panels," Globalization Institute Working Papers 327, Federal Reserve Bank of Dallas, revised 27 Mar 2021.
    5. Abonazel, Mohamed R., 2016. "Bias Correction Methods for Dynamic Panel Data Models with Fixed Effects," MPRA Paper 72587, University Library of Munich, Germany.
    6. Fay Dunkerley & Amihai Glazer & Stef Proost, 2010. "What Drives Gasoline Prices?," Working Papers 091005, University of California-Irvine, Department of Economics.
    7. Devdatta Ray & Mikael Linden, 2020. "Health expenditure, longevity, and child mortality: dynamic panel data approach with global data," International Journal of Health Economics and Management, Springer, vol. 20(1), pages 99-119, March.
    8. Ignace De Vos & Gerdie Everaert & Ilse Ruyssen, 2015. "Bootstrap-Based Bias Correction And Inference For Dynamic Panels With Fixed Effects," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/906, Ghent University, Faculty of Economics and Business Administration.
    9. Cave, Joshua & Chaudhuri, Kausik & Kumbhakar, Subal C., 2023. "Dynamic firm performance and estimator choice: A comparison of dynamic panel data estimators," European Journal of Operational Research, Elsevier, vol. 307(1), pages 447-467.
    10. Rebecca K Scott, 2014. "Tax Salience vs. Price Uncertainty: Disentangling the Effects of Attention and Rational Habits," Economics Series Working Papers 736, University of Oxford, Department of Economics.
    11. Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, vol. 5(1), pages 1-54, March.
    12. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Discussion Paper 2023-028, Tilburg University, Center for Economic Research.
    13. Goel Aditi & Gaur Dolly & Gupta Khushboo & Gupta Kanishka, 2023. "Factors impacting export intensity of SMEs in India," Economics and Business Review, Sciendo, vol. 9(3), pages 22-43, October.
    14. Ali, Amin Masud & Savoia, Antonio, 2023. "Decentralisation or patronage: What determines government's allocation of development spending in a unitary country? Evidence from Bangladesh," European Journal of Political Economy, Elsevier, vol. 78(C).
    15. Alexander Chudik & M. Hashem Pesaran & Jui-Chung Yang, 2016. "Half-panel jackknife fixed effects estimation of panels with weakly exogenous regressor," Globalization Institute Working Papers 281, Federal Reserve Bank of Dallas.
    16. Donato, Romano & Carraro, Alessandro, 2015. "Modelling Acreage, Production and Yield Supply Response to Domestic Price Volatility," 2015 Fourth Congress, June 11-12, 2015, Ancona, Italy 207278, Italian Association of Agricultural and Applied Economics (AIEAA).
    17. Alexander Chudik & M. Hashem Pesaran, 2017. "A Bias-Corrected Method of Moments Approach to Estimation of Dynamic Short-T Panels," CESifo Working Paper Series 6688, CESifo.
    18. 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.
    19. Chihwa Kao & Long Liu & Rui Sun, 2021. "A bias-corrected fixed effects estimator in the dynamic panel data model," Empirical Economics, Springer, vol. 60(1), pages 205-225, January.
    20. Rilind Kabashi, 2014. "The Cyclical Character of Fiscal Policy in Transition Countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 1, pages 57-73.
    21. 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.
    22. Dang, Viet Anh & Kim, Minjoo & Shin, Yongcheol, 2015. "In search of robust methods for dynamic panel data models in empirical corporate finance," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 84-98.
    23. Juodis, Artūras, 2013. "A note on bias-corrected estimation in dynamic panel data models," Economics Letters, Elsevier, vol. 118(3), pages 435-438.
    24. Chen, Weihao & Cizek, Pavel, 2023. "Bias-Corrected Instrumental Variable Estimation in Linear Dynamic Panel Data Models," Other publications TiSEM 9bf2c16c-522f-4223-8037-c, Tilburg University, School of Economics and Management.

  7. Bun, Maurice J.G. & Kiviet, Jan F., 2006. "The effects of dynamic feedbacks on LS and MM estimator accuracy in panel data models," Journal of Econometrics, Elsevier, vol. 132(2), pages 409-444, June.

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    1. Giovanni Favara & Jean Imbs, 2015. "Credit Supply and the Price of Housing," Post-Print hal-01301589, HAL.
    2. Carl Grekou, 2015. "Currency misalignments and economic growth: the foreign currency-denominated debt channel," Working Papers hal-04141399, HAL.
    3. Kazuhiko Hayakawa, 2006. "The Asymptotic Properties of the System GMM Estimator in Dynamic Panel Data Models When Both N and T are Large," Hi-Stat Discussion Paper Series d05-129, Institute of Economic Research, Hitotsubashi University.
    4. Norkutė, Milda & Sarafidis, Vasilis & Yamagata, Takashi & Cui, Guowei, 2021. "Instrumental variable estimation of dynamic linear panel data models with defactored regressors and a multifactor error structure," Journal of Econometrics, Elsevier, vol. 220(2), pages 416-446.
    5. Helg, Rodolfo & Tajoli, Lucia, 2005. "Patterns of international fragmentation of production and the relative demand for labor," The North American Journal of Economics and Finance, Elsevier, vol. 16(2), pages 233-254, August.
    6. 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).
    7. Hayakawa, K. & Pesaran, M.H., 2012. "Robust Standard Errors in Transformed Likelihood Estimation of Dynamic Panel Models," Cambridge Working Papers in Economics 1224, Faculty of Economics, University of Cambridge.
    8. Pierre Bachas & Paul Gertler & Sean Higgins & Enrique Seira, 2017. "How Debit Cards Enable the Poor to Save More," NBER Working Papers 23252, National Bureau of Economic Research, Inc.
    9. Mohamed Traoré, 2018. "Government spending and inclusive growth in sub-Saharan Africa: A panel VAR analysis," CERDI Working papers hal-01940506, HAL.
    10. Dominika Kolcunova & Simona Malovana, 2019. "The Effect of Higher Capital Requirements on Bank Lending: The Capital Surplus Matters," Working Papers 2019/2, Czech National Bank.
    11. Badri Narayanan G, 2005. "Effects of trade liberalisation, environmental and labour regulations on employment in India's organised textile sector," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2005-005, Indira Gandhi Institute of Development Research, Mumbai, India.
    12. Mayer, Alexander, 2022. "On the local power of some tests of strict exogeneity in linear fixed effects models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 49-74.
    13. Maurice J.G. Bun & Frank Windmeijer, 2009. "The Weak Instrument Problem of the System GMM Estimator in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 09-086/4, Tinbergen Institute.
    14. Escobari, Diego & Rupp, Nicholas & Meskey, Joseph, 2018. "Dynamic Price Discrimination in Airlines," MPRA Paper 88078, University Library of Munich, Germany.
    15. Parent, Olivier & LeSage, James P., 2012. "Spatial dynamic panel data models with random effects," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 727-738.
    16. Ashraf, Ayesha & Herzer, Dierk & Nunnenkamp, Peter, 2014. "The Effects of Greenfield FDI and Cross-border M&As on Total Factor Productivity," MPRA Paper 65060, University Library of Munich, Germany, revised 17 Mar 2015.
    17. Artūras Juodis & Vasilis Sarafidis, 2018. "Fixed T dynamic panel data estimators with multifactor errors," Econometric Reviews, Taylor & Francis Journals, vol. 37(8), pages 893-929, September.
    18. Jean-Thomas Bernard & Michael Gavin & Lynda Khalaf & Marcel Voia, 2011. "The Environmental Kuznets Curve: Tipping Points, Uncertainty and Weak Identification," Cahiers de recherche CREATE 2011-4, CREATE.
    19. Fay Dunkerley & Amihai Glazer & Stef Proost, 2010. "What Drives Gasoline Prices?," Working Papers 091005, University of California-Irvine, Department of Economics.
    20. Diego Escobari & Nicholas G. Rupp & Joseph Meskey, 2019. "An Analysis of Dynamic Price Discrimination in Airlines," Southern Economic Journal, John Wiley & Sons, vol. 85(3), pages 639-662, January.
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    93. Roberto Golinelli & Sandro Momigliano, 2008. "The cyclical response of fiscal policies in the euro area. Why do results of empirical research differ so strongly?," Temi di discussione (Economic working papers) 654, Bank of Italy, Economic Research and International Relations Area.
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    101. Kiviet, Jan F. & Niemczyk, Jerzy, 2007. "The asymptotic and finite sample distributions of OLS and simple IV in simultaneous equations," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3296-3318, April.
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    103. 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.
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  8. Bun, Maurice J.G. & Carree, Martin A., 2005. "Bias-Corrected Estimation in Dynamic Panel Data Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 200-210, April.
    See citations under working paper version above.
  9. Maurice J.G. Bun, 2004. "Testing poolability in a system of dynamic regressions with nonspherical disturbances," Empirical Economics, Springer, vol. 29(1), pages 89-106, January.

    Cited by:

    1. Blomquist, Johan & Westerlund, Joakim, 2014. "Testing slope homogeneity in large panels with serial correlation," Working Papers fe_2014_04, Deakin University, Department of Economics.
    2. Brahim Gaies, 2017. "Globalisation Financière, Croissance et effets de seuil : Le Cas des pays en développement Les moins avancés," Working Papers hal-04141645, HAL.
    3. Johan Blomquist & Joakim Westerlund, 2016. "Panel bootstrap tests of slope homogeneity," Empirical Economics, Springer, vol. 50(4), pages 1359-1381, June.
    4. Basak Gopal K. & Das Samarjit, 2017. "Intercept Homogeneity Test for Fixed Effect Models under Cross-sectional Dependence: Some Insights," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-22, January.
    5. M. Hashem Pesaran & Takashi Yamagata, 2005. "Testing Slope Homogeneity in Large Panels," CESifo Working Paper Series 1438, CESifo.
    6. Hughes Hallett, Andrew & Bernoth, Kerstin & Lewis, John, 2008. "Did Fiscal Policy Makers Know What They Were Doing? Reassessing Fiscal Policy with Real Time Data," CEPR Discussion Papers 6758, C.E.P.R. Discussion Papers.
    7. Brahim Gaies, 2017. "Globalisation Financière, Croissance et effets de seuil : Le Cas des pays en développement Les moins avancés," EconomiX Working Papers 2017-25, University of Paris Nanterre, EconomiX.
    8. Mr. Serhan Cevik & Ms. Katerina Teksoz, 2014. "Deep Roots of Fiscal Behavior," IMF Working Papers 2014/045, International Monetary Fund.

  10. Maurice J. G. Bun, 2003. "Bias Correction in the Dynamic Panel Data Model with a Nonscalar Disturbance Covariance Matrix," Econometric Reviews, Taylor & Francis Journals, vol. 22(1), pages 29-58, February.
    See citations under working paper version above.
  11. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.

    Cited by:

    1. M. Shanmugam, 2020. "Research and Development Intensity and Effective Tax Rate: Empirical Evidence from India," Emerging Economy Studies, International Management Institute, vol. 6(2), pages 223-234, November.
    2. Giovanni S.F. Bruno & Anna M. Falzoni & Rodolfo Helg, 2004. "Measuring the effect of globalization on labour demand elasticity: An empirical application to OECD countries," KITeS Working Papers 153, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Feb 2004.
    3. Christian EBEKE, 2010. "Remittances, Value Added Tax and Tax Revenue in Developing Countries," Working Papers 201030, CERDI.
    4. Klinger, Sabine & Wolf, Katja, 2008. "What explains changes in full-time and part-time employment in Western Germany? : a new method on an old question," IAB-Discussion Paper 200807, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Giovanni Favara & Jean Imbs, 2015. "Credit Supply and the Price of Housing," Post-Print hal-01301589, HAL.
    6. Chris Belmert Milindi & Roula Inglesi-Lotz, 2021. "Impact of technological progress on carbon emissions in different country income groups," Working Papers 202123, University of Pretoria, Department of Economics.
    7. Kim, Chang Sik & Lee, Sungro, 2011. "Spurious regressions driven by excessive volatility," Economics Letters, Elsevier, vol. 113(3), pages 292-297.
    8. Simplice A. Asongu & Nicholas M. Odhiambo, 2019. "Financial Access, Governance and Insurance Sector Development in Sub-Saharan Africa," Research Africa Network Working Papers 19/044, Research Africa Network (RAN).
    9. Sèna Kimm Gnangnon, 2013. "How do OECD donor countries distribute foreign aid among developing countries during their fiscal episodes?," Working Papers halshs-00786009, HAL.
    10. Robert Baumann & Bryan Engelhardt & Victor A. Matheson, 2012. "Labor Market Effects of the World Cup: A Sectoral Analysis," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 22, Edward Elgar Publishing.
    11. Gehringer, Agnieszka & Prettner, Klaus, 2014. "Longevity and technological change," ECON WPS - Working Papers in Economic Theory and Policy 01/2014, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    12. Brown, Timothy Tyler, 2014. "How effective are public health departments at preventing mortality?," Economics & Human Biology, Elsevier, vol. 13(C), pages 34-45.
    13. Marie-Estelle Binet & Jean-Sébastien Pentecôte, 2006. "Structure de l'impôt et cycle électoral au plan municipal," Post-Print halshs-00109689, HAL.
    14. Chang, Chun-Ping & Berdiev, Aziz N. & Lee, Chien-Chiang, 2013. "Energy exports, globalization and economic growth: The case of South Caucasus," Economic Modelling, Elsevier, vol. 33(C), pages 333-346.
    15. Andreas Kappeler & Albert Solé-Ollé & Andreas Stephan & Timo Välilä, 2012. "Does fiscal decentralization foster regional investment in productive infrastructure?," ERSA conference papers ersa12p60, European Regional Science Association.
    16. Sebastian Kripfganz, 2016. "Quasi–maximum likelihood estimation of linear dynamic short-T panel-data models," Stata Journal, StataCorp LP, vol. 16(4), pages 1013-1038, December.
    17. Gunther Capelle-Blancard & Patricia Crifo & Marc-Arthur Diaye & Rim Oueghlissi & Bert Scholtens, 2017. "Environmental, Social and Governance (ESG) performance and sovereign bond spreads: an empirical analysis of OECD countries," Working Papers hal-04141666, HAL.
    18. Ademmer, Esther & Dreher, Ferdinand, 2014. "Institutional constraints to political budget cycles in the enlarged EU," Kiel Working Papers 1964, Kiel Institute for the World Economy (IfW Kiel).
    19. Emna Trabelsi, 2016. "Transparency on inflation of OECD countries? An Application of LSDVC Estimator on a dynamic Panel Model," Economics Bulletin, AccessEcon, vol. 36(2), pages 1095-1126.
    20. Burger, Martijn & Ianchovichina, Elena & Rijkers, Bob, 2013. "Risky business : political instability and greenfield foreign direct investment in the Arab world," Policy Research Working Paper Series 6716, The World Bank.
    21. Vadim Kufenko & Klaus Prettner, 2021. "Do you know your biases? A Monte Carlo analysis of dynamic panel data estimators," Department of Economics Working Papers wuwp316, Vienna University of Economics and Business, Department of Economics.
    22. Anna Bindler & Randi Hjalmarsson, 2019. "Path Dependency in Jury Decision Making," Journal of the European Economic Association, European Economic Association, vol. 17(6), pages 1971-2017.
    23. Emna Trabelsi, 2016. "What effects exert Economic Globalization and Central Bank Transparency on inflation of OECD countries? An Application of LSDVC Estimator on a dynamic Panel Model," Working Papers hal-01157387, HAL.
    24. Blanka Skrabic Peric & Zana Vidovic, 2017. "Heterogeneous Panel Granger causality between GDP and Tourism in 11 EU members in Central and Southeastern Europe," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 3(1), pages 6-27.
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