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Do Statistical Reporting Standards Affect What Is Published? Publication Bias in Two Leading Political Science Journals

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Cited by:

  1. Petr Cala & Tomas Havranek & Zuzana Irsova & Jindrich Matousek & Jiri Novak, 2022. "Financial Incentives and Performance: A Meta-Analysis of Economics Evidence," Working Papers IES 2022/27, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Nov 2022.
  2. Brodeur, Abel & Kattan, Lamis & Musumeci, Marco, 2024. "Job Market Stars," GLO Discussion Paper Series 1514, Global Labor Organization (GLO).
  3. Humphreys Macartan, 2015. "Reflections on the Ethics of Social Experimentation," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 87-112, June.
  4. Hong, Sanghyun & Robert Reed, W. & Tian, Bifei & Wu, Tingting & Chen, Gen, 2021. "Does FDI promote entrepreneurial activities? A meta-analysis," World Development, Elsevier, vol. 142(C).
  5. Ali Elminejad & Tomas Havranek & Roman Horvath & Zuzana Irsova, 2023. "Intertemporal Substitution in Labor Supply: A Meta-Analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 1095-1113, December.
  6. Sarah Tahamont & Zubin Jelveh & Aaron Chalfin & Shi Yan & Benjamin Hansen, 2019. "Administrative Data Linking and Statistical Power Problems in Randomized Experiments," NBER Working Papers 25657, National Bureau of Economic Research, Inc.
  7. Furukawa, Chishio, 2019. "Publication Bias under Aggregation Frictions: Theory, Evidence, and a New Correction Method," EconStor Preprints 194798, ZBW - Leibniz Information Centre for Economics.
  8. Abel Brodeur & Nikolai Cook & Anthony Heyes, 2020. "Methods Matter: p-Hacking and Publication Bias in Causal Analysis in Economics," American Economic Review, American Economic Association, vol. 110(11), pages 3634-3660, November.
  9. Roman Horvath & Ali Elminejad & Tomas Havranek, 2020. "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply," Working Papers IES 2020/32, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
  10. Leonardo Baccini & Abel Brodeur & Stephen Weymouth, 2021. "The COVID-19 pandemic and the 2020 US presidential election," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 739-767, April.
  11. Graham Elliott & Nikolay Kudrin & Kaspar Wüthrich, 2022. "Detecting p‐Hacking," Econometrica, Econometric Society, vol. 90(2), pages 887-906, March.
  12. Bajzík, Josef & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2023. "Does Shareholder Activism Create Value? A Meta-Analysis," CEPR Discussion Papers 18233, C.E.P.R. Discussion Papers.
  13. Aguinis, Herman & Banks, George C. & Rogelberg, Steven G. & Cascio, Wayne F., 2020. "Actionable recommendations for narrowing the science-practice gap in open science," Organizational Behavior and Human Decision Processes, Elsevier, vol. 158(C), pages 27-35.
  14. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2022. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 55-82, July.
  15. Macartan Humphreys, 2015. "Reflections on the Ethics of Social Experimentation," WIDER Working Paper Series wp-2015-018, World Institute for Development Economic Research (UNU-WIDER).
  16. Alexander L. Brown & Taisuke Imai & Ferdinand M. Vieider & Colin F. Camerer, 2024. "Meta-analysis of Empirical Estimates of Loss Aversion," Journal of Economic Literature, American Economic Association, vol. 62(2), pages 485-516, June.
  17. Felix Chopra & Ingar Haaland & Christopher Roth & Andreas Stegmann, 2024. "The Null Result Penalty," The Economic Journal, Royal Economic Society, vol. 134(657), pages 193-219.
  18. Auspurg Katrin & Hinz Thomas, 2011. "What Fuels Publication Bias?: Theoretical and Empirical Analyses of Risk Factors Using the Caliper Test," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(5-6), pages 636-660, October.
  19. Brinkerink, Jasper & De Massis, Alfredo & Kellermanns, Franz, 2022. "One finding is no finding: Toward a replication culture in family business research," Journal of Family Business Strategy, Elsevier, vol. 13(4).
  20. Weiß Bernd & Wagner Michael, 2011. "The Identification and Prevention of Publication Bias in the Social Sciences and Economics," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(5-6), pages 661-684, October.
  21. Dominika Ehrenbergerova & Josef Bajzik & Tomas Havranek, 2023. "When Does Monetary Policy Sway House Prices? A Meta-Analysis," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(2), pages 538-573, June.
  22. 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.
  23. Katarina Gomoryova, 2024. "Female Leadership and Financial Performance: A Meta-Analysis," Working Papers IES 2024/6, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2024.
  24. McCaskey Kelly & Rainey Carlisle, 2015. "Substantive Importance and the Veil of Statistical Significance," Statistics, Politics and Policy, De Gruyter, vol. 6(1-2), pages 77-96, December.
  25. Uwe Hassler & Marc‐Oliver Pohle, 2022. "Unlucky Number 13? Manipulating Evidence Subject to Snooping," International Statistical Review, International Statistical Institute, vol. 90(2), pages 397-410, August.
  26. Michael L. Anderson & Jeremy Magruder, 2017. "Split-Sample Strategies for Avoiding False Discoveries," NBER Working Papers 23544, National Bureau of Economic Research, Inc.
  27. Fafchamps, Marcel & Labonne, Julien, 2017. "Using Split Samples to Improve Inference on Causal Effects," Political Analysis, Cambridge University Press, vol. 25(4), pages 465-482, October.
  28. Beger, Andreas & Dorff, Cassy L. & Ward, Michael D., 2016. "Irregular leadership changes in 2014: Forecasts using ensemble, split-population duration models," International Journal of Forecasting, Elsevier, vol. 32(1), pages 98-111.
  29. Abel Brodeur, Nikolai M. Cook, Jonathan S. Hartley, Anthony Heyes, 2022. "Do Pre-Registration and Pre-analysis Plans Reduce p-Hacking and Publication Bias?," LCERPA Working Papers am0132, Laurier Centre for Economic Research and Policy Analysis.
  30. Brendan Nyhan, 2011. "The limited effects of testimony on political persuasion," Public Choice, Springer, vol. 148(3), pages 283-312, September.
  31. Tomas Havranek & Zuzana Irsova & Lubica Laslopova & Olesia Zeynalova, 2020. "Skilled and Unskilled Labor Are Less Substitutable than Commonly Thought," Working Papers IES 2020/29, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
  32. Jindrich Matousek & Tomas Havranek & Zuzana Irsova, 2022. "Individual discount rates: a meta-analysis of experimental evidence," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 318-358, February.
  33. Anna Dreber & Magnus Johannesson & Yifan Yang, 2024. "Selective reporting of placebo tests in top economics journals," Economic Inquiry, Western Economic Association International, vol. 62(3), pages 921-932, July.
  34. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2022. "The Power of Tests for Detecting $p$-Hacking," Papers 2205.07950, arXiv.org, revised Apr 2024.
  35. Igor Asanov & Christoph Buehren & Panagiota Zacharodimou, 2020. "The power of experiments: How big is your n?," MAGKS Papers on Economics 202032, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  36. Lenz, Gabriel & Sahn, Alexander, 2017. "Achieving Statistical Significance with Covariates and without Transparency," MetaArXiv s42ba, Center for Open Science.
  37. Brodeur, Abel & Esterling, Kevin & Ankel-Peters, Jörg & Bueno, Natália S. & Desposato, Scott & Dreber, Anna & Genovese, Federica & Green, Donald P. & Hepplewhite, Matthew & Hoces de la Guardia, Fernan, 2024. "Promoting Reproducibility and Replicability in Political Science," I4R Discussion Paper Series 100, The Institute for Replication (I4R).
  38. 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.
  39. Cristina Blanco-Perez & Abel Brodeur, 2019. "Transparency in empirical economic research," IZA World of Labor, Institute of Labor Economics (IZA), pages 467-467, November.
  40. Josef Simpart, 2024. "Military Expenditure and Economic Growth: A Meta-Analysis," Working Papers IES 2024/8, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2024.
  41. Barber Benjamin & Weschle Simon & Pierskalla Jan, 2014. "Lobbying and the collective action problem: comparative evidence from enterprise surveys," Business and Politics, De Gruyter, vol. 16(2), pages 1-26, August.
  42. Brodeur, Abel & Cook, Nikolai & Heyes, Anthony, 2018. "Methods Matter: P-Hacking and Causal Inference in Economics," IZA Discussion Papers 11796, Institute of Labor Economics (IZA).
  43. Bajzik, Josef, 2021. "Trading volume and stock returns: A meta-analysis," International Review of Financial Analysis, Elsevier, vol. 78(C).
  44. Abel Brodeur & Nikolai Cook & Carina Neisser, 2024. "p-Hacking, Data type and Data-Sharing Policy," The Economic Journal, Royal Economic Society, vol. 134(659), pages 985-1018.
  45. Abel Brodeur & Nikolai M. Cook & Jonathan S. Hartley & Anthony Heyes, 2024. "Do Preregistration and Preanalysis Plans Reduce p-Hacking and Publication Bias? Evidence from 15,992 Test Statistics and Suggestions for Improvement," Journal of Political Economy Microeconomics, University of Chicago Press, vol. 2(3), pages 527-561.
  46. Muhammad Haseeb & Kate Vyborny, 2016. "Imposing institutions: Evidence from cash transfer reform in Pakistan," CSAE Working Paper Series 2016-36, Centre for the Study of African Economies, University of Oxford.
  47. Brodeur, Abel & Baccini, Leonardo & Weymouth, Stephen, 2020. "The COVID-19 Pandemic and US Presidential Elections," MetaArXiv sxajv, Center for Open Science.
  48. Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia, 2020. "The Elasticity of Substitution between Skilled and Unskilled Labor: A Meta-Analysis," MPRA Paper 102598, University Library of Munich, Germany.
  49. Stommes, Drew & Aronow, P. M. & Sävje, Fredrik, 2023. "On the Reliability of Published Findings Using the Regression Discontinuity Design in Political Science," I4R Discussion Paper Series 22, The Institute for Replication (I4R).
  50. Bogdanoski, Aleksandar & Ofosu, George & Posner, Daniel N, 2019. "Pre-analysis Plans: A Stocktaking," MetaArXiv e4pum, Center for Open Science.
  51. Steinert, Janina I. & Zenker, Juliane & Filipiak, Ute & Movsisyan, Ani & Cluver, Lucie D. & Shenderovich, Yulia, 2018. "Do saving promotion interventions increase household savings, consumption, and investments in Sub-Saharan Africa? A systematic review and meta-analysis," World Development, Elsevier, vol. 104(C), pages 238-256.
  52. Martina Luskova, 2024. "The Effect of Face Masks on Covid Transmission: A Meta-Analysis," Working Papers IES 2024/2, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jan 2024.
  53. Marcel Fafchamps & Julien Labonne, 2016. "Using Split Samples to Improve Inference about Causal Effects," NBER Working Papers 21842, National Bureau of Economic Research, Inc.
  54. Fernando Hoces de la Guardia & Sean Grant & Edward Miguel, 2021. "A framework for open policy analysis," Science and Public Policy, Oxford University Press, vol. 48(2), pages 154-163.
  55. Lenartowicz, Paweł, 2024. "Likelihood Ratio Test for Publication Bias – a Proof of Concept," MetaArXiv jt5zf, Center for Open Science.
  56. Fowler, Anthony & Hall, Andrew B., 2015. "Congressional seniority and pork: A pig fat myth?," European Journal of Political Economy, Elsevier, vol. 40(PA), pages 42-56.
  57. Stephan B. Bruns, 2016. "The Fragility of Meta-Regression Models in Observational Research," MAGKS Papers on Economics 201603, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  58. Simona Malovana & Martin Hodula & Zuzana Gric & Josef Bajzik, 2022. "Borrower-Based Macroprudential Measures and Credit Growth: How Biased is the Existing Literature?," Working Papers 2022/8, Czech National Bank.
  59. Dominika Ehrenbergerova & Josef Bajzik, 2020. "The Effect of Monetary Policy on House Prices - How Strong is the Transmission?," Working Papers 2020/14, Czech National Bank.
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