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Meta-Regression Models and Observational Research

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  • Stephan B. Bruns

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  • Stephan B. Bruns, 2017. "Meta-Regression Models and Observational Research," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 637-653, October.
    • Handle: RePEc:bla:obuest:v:79:y:2017:i:5:p:637-653
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    File URL: http://hdl.handle.net/10.1111/obes.12172
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    1. Adam, Antonis & Kammas, Pantelis & Lagou, Athina, 2013. "The effect of globalization on capital taxation: What have we learned after 20years of empirical studies?," Journal of Macroeconomics, Elsevier, vol. 35(C), pages 199-209.
    2. Castellacci, Fulvio & Lie, Christine Mee, 2015. "Do the effects of R&D tax credits vary across industries? A meta-regression analysis," Research Policy, Elsevier, vol. 44(4), pages 819-832.
    3. Abel Brodeur & Mathias Lé & Marc Sangnier & Yanos Zylberberg, 2016. "Star Wars: The Empirics Strike Back," American Economic Journal: Applied Economics, American Economic Association, vol. 8(1), pages 1-32, January.
    4. Benos, Nikos & Zotou, Stefania, 2014. "Education and Economic Growth: A Meta-Regression Analysis," World Development, Elsevier, vol. 64(C), pages 669-689.
    5. Marek Rusnak & Tomas Havranek & Roman Horvath, 2013. "How to Solve the Price Puzzle? A Meta‐Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(1), pages 37-70, February.
    6. De Long, J Bradford & Lang, Kevin, 1992. "Are All Economic Hypotheses False?," Journal of Political Economy, University of Chicago Press, vol. 100(6), pages 1257-1272, December.
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    8. Frey, Bruno S, 2003. "Publishing as Prostitution?--Choosing between One's Own Ideas and Academic Success," Public Choice, Springer, vol. 116(1-2), pages 205-223, July.
    9. Hristos Doucouliagos & T. D. Stanley, 2009. "Publication Selection Bias in Minimum‐Wage Research? A Meta‐Regression Analysis," British Journal of Industrial Relations, London School of Economics, vol. 47(2), pages 406-428, June.
    10. T. D. Stanley, 2008. "Meta‐Regression Methods for Detecting and Estimating Empirical Effects in the Presence of Publication Selection," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(1), pages 103-127, February.
    11. Neal S Young, 2008. "Why Current Publication May Distort Science," Working Papers id:1757, eSocialSciences.
    12. Mark Koetse & Raymond Florax & Henri Groot, 2010. "Consequences of effect size heterogeneity for meta-analysis: a Monte Carlo study," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 19(2), pages 217-236, June.
    13. Card, David & Krueger, Alan B, 1995. "Time-Series Minimum-Wage Studies: A Meta-analysis," American Economic Review, American Economic Association, vol. 85(2), pages 238-243, May.
    14. Stephan B. Bruns & David I. Stern, 2015. "Meta-Granger causality testing," CAMA Working Papers 2015-22, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    15. Leamer, Edward E, 1983. "Let's Take the Con Out of Econometrics," American Economic Review, American Economic Association, vol. 73(1), pages 31-43, March.
    16. Shanthi Nataraj & Francisco Perez-Arce & Krishna B. Kumar & Sinduja V. Srinivasan, 2014. "The Impact Of Labor Market Regulation On Employment In Low-Income Countries: A Meta-Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(3), pages 551-572, July.
    17. Efendic, Adnan & Pugh, Geoff & Adnett, Nick, 2011. "Institutions and economic performance: A meta-regression analysis," European Journal of Political Economy, Elsevier, vol. 27(3), pages 586-599, September.
    18. Jeroen Klomp & Jakob De Haan, 2010. "Inflation And Central Bank Independence: A Meta‐Regression Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 24(4), pages 593-621, September.
    19. Doucouliagos, Hristos & Stanley, T.D. & Viscusi, W. Kip, 2014. "Publication selection and the income elasticity of the value of a statistical life," Journal of Health Economics, Elsevier, vol. 33(C), pages 67-75.
    20. repec:bla:econom:v:47:y:1980:i:188:p:387-406 is not listed on IDEAS
    21. Chris Doucouliagos & T.D. Stanley, 2013. "Are All Economic Facts Greatly Exaggerated? Theory Competition And Selectivity," Journal of Economic Surveys, Wiley Blackwell, vol. 27(2), pages 316-339, April.
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    1. Irsova, Zuzana & Bom, Pedro R. D. & Havranek, Tomas & Rachinger, Heiko, 2023. "Spurious Precision in Meta-Analysis," EconStor Preprints 268683, ZBW - Leibniz Information Centre for Economics.
    2. Ms. Juliana Dutra Araujo & Manasa Patnam & Ms. Adina Popescu & Mr. Fabian Valencia & Weijia Yao, 2020. "Effects of Macroprudential Policy: Evidence from Over 6,000 Estimates," IMF Working Papers 2020/067, International Monetary Fund.
    3. Nauro F. Campos & Jarko Fidrmuc & Iikka Korhonen, 2017. "Business Cycle Synchronisation in a Currency Union: Taking Stock of the Evidence," GRU Working Paper Series GRU_2017_017, City University of Hong Kong, Department of Economics and Finance, Global Research Unit.
    4. Chiara Bocci & Annalisa Caloffi & Marco Mariani & Alessandro Sterlacchini, 2023. "Evaluating Public Support to the Investment Activities of Business Firms: A Multilevel Meta-Regression Analysis of Italian Studies," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(1), pages 1-34, March.
    5. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2022. "The Power of Tests for Detecting $p$-Hacking," Papers 2205.07950, arXiv.org, revised Apr 2024.
    6. Bruns, Stephan B. & Asanov, Igor & Bode, Rasmus & Dunger, Melanie & Funk, Christoph & Hassan, Sherif M. & Hauschildt, Julia & Heinisch, Dominik & Kempa, Karol & König, Johannes & Lips, Johannes & Verb, 2019. "Reporting errors and biases in published empirical findings: Evidence from innovation research," Research Policy, Elsevier, vol. 48(9), pages 1-1.
    7. Stephan B. Bruns & David I. Stern, 2019. "Lag length selection and p-hacking in Granger causality testing: prevalence and performance of meta-regression models," Empirical Economics, Springer, vol. 56(3), pages 797-830, March.
    8. Stanley, T. D. & Doucouliagos, Chris, 2019. "Practical Significance, Meta-Analysis and the Credibility of Economics," IZA Discussion Papers 12458, Institute of Labor Economics (IZA).
    9. Isaiah Andrews & Maximilian Kasy, 2019. "Identification of and Correction for Publication Bias," American Economic Review, American Economic Association, vol. 109(8), pages 2766-2794, August.
    10. Bruns, Stephan B. & König, Johannes & Stern, David I., 2019. "Replication and robustness analysis of ‘energy and economic growth in the USA: A multivariate approach’," Energy Economics, Elsevier, vol. 82(C), pages 100-113.
    11. Campos, Nauro F. & Fidrmuc, Jarko & Korhonen, Iikka, 2019. "Business cycle synchronisation and currency unions: A review of the econometric evidence using meta-analysis," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 274-283.
    12. Wimmer, Thomas & Geyer-Klingeberg, Jerome & Hütter, Marie & Schmid, Florian & Rathgeber, Andreas, 2021. "The impact of speculation on commodity prices: A Meta-Granger analysis," Journal of Commodity Markets, Elsevier, vol. 22(C).
    13. Bruns, Stephan B. & Kalthaus, Martin, 2020. "Flexibility in the selection of patent counts: Implications for p-hacking and evidence-based policymaking," Research Policy, Elsevier, vol. 49(1).

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