IDEAS home Printed from https://ideas.repec.org/r/iza/izadps/dp12493.html
   My bibliography  Save this item

Publication Bias and Editorial Statement on Negative Findings

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. 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.
  2. Gric, Zuzana & Bajzík, Josef & Badura, Ondřej, 2023. "Does sentiment affect stock returns? A meta-analysis across survey-based measures," International Review of Financial Analysis, Elsevier, vol. 89(C).
  3. 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.
  4. Yang, Fan & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2022. "Hedge Fund Performance: A Quantitative Survey," EconStor Preprints 260612, ZBW - Leibniz Information Centre for Economics.
  5. Lokman Tutuncu & Recep Yucedogru & Idris Sarisoy, 2022. "Academic favoritism at work: insider bias in Turkish national journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2547-2576, May.
  6. Brodeur, Abel & Cook, Nikolai M. & Hartley, Jonathan S. & Heyes, Anthony, 2022. "Do Pre-Registration and Pre-analysis Plans Reduce p-Hacking and Publication Bias?," GLO Discussion Paper Series 1147, Global Labor Organization (GLO).
  7. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
  8. 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.
  9. Cristina Blanco-Perez & Abel Brodeur, 2020. "Publication Bias and Editorial Statement on Negative Findings," The Economic Journal, Royal Economic Society, vol. 130(629), pages 1226-1247.
  10. Lokman Tutuncu, 2023. "All-pervading insider bias alters review time in Turkish university journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3743-3791, June.
  11. Zigraiova, Diana & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2021. "How puzzling is the forward premium puzzle? A meta-analysis," European Economic Review, Elsevier, vol. 134(C).
  12. 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).
  13. 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.
  14. Edward Miguel, 2021. "Evidence on Research Transparency in Economics," Journal of Economic Perspectives, American Economic Association, vol. 35(3), pages 193-214, Summer.
  15. Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia, 2020. "The Elasticity of Substitution between Skilled and Unskilled Labor: A Meta-Analysis," MetaArXiv 7z2uh, Center for Open Science.
  16. Abel Brodeur & Nikolai Cook & Carina Neisser, 2022. "P-Hacking, Data Type and Data-Sharing Policy," ECONtribute Discussion Papers Series 200, University of Bonn and University of Cologne, Germany.
  17. Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2020. "Estimating the Armington elasticity: The importance of study design and publication bias," Journal of International Economics, Elsevier, vol. 127(C).
  18. Elminejad, Ali & Havranek, Tomas & Irsova, Zuzana, 2022. "Relative Risk Aversion: A Meta-Analysis," MetaArXiv b8uhe, Center for Open Science.
  19. Havranek, Tomas & Kroupova, Katerina & Irsova, Zuzana, 2021. "Student Employment and Education: A Meta-Analysis," CEPR Discussion Papers 16550, C.E.P.R. Discussion Papers.
  20. Drivas, Kyriakos & Kremmydas, Dimitris, 2020. "The Matthew effect of a journal's ranking," Research Policy, Elsevier, vol. 49(4).
  21. Philip Clarke & John Buckell & Adrian Barnett, 2020. "Registered Reports: Time to Radically Rethink Peer Review in Health Economics," PharmacoEconomics - Open, Springer, vol. 4(1), pages 1-4, March.
  22. Furukawa, Chishio, 2019. "Publication Bias under Aggregation Frictions: Theory, Evidence, and a New Correction Method," EconStor Preprints 194798, ZBW - Leibniz Information Centre for Economics.
  23. 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.
  24. 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.
  25. Moritz A. Drupp & Menusch Khadjavi & Rudi Voss, 2024. "The Truth-Telling of Truth-Seekers: Evidence from Online Experiments with Scientists," CESifo Working Paper Series 10897, CESifo.
  26. Cristina Blanco-Perez & Abel Brodeur, 2019. "Transparency in empirical economic research," IZA World of Labor, Institute of Labor Economics (IZA), pages 467-467, November.
  27. Tomáš Havránek & T. D. Stanley & Hristos Doucouliagos & Pedro Bom & Jerome Geyer‐Klingeberg & Ichiro Iwasaki & W. Robert Reed & Katja Rost & R. C. M. van Aert, 2020. "Reporting Guidelines For Meta‐Analysis In Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 34(3), pages 469-475, July.
  28. Doucouliagos, Hristos & Hinz, Thomas & Zigova, Katarina, 2022. "Bias and careers: Evidence from the aid effectiveness literature," European Journal of Political Economy, Elsevier, vol. 71(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.