IDEAS home Printed from https://ideas.repec.org/r/eee/respol/v48y2019i925.html

Reporting errors and biases in published empirical findings: Evidence from innovation research

Citations

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


Cited by:

  1. Cefis, Elena & Coad, Alex & Lucini-Paioni, Alessandro, 2023. "Landmarks as lighthouses: firms' innovation and modes of exit during the business cycle," Research Policy, Elsevier, vol. 52(8).
  2. Bruns, Stephan & Herwartz, Helmut & Ioannidis, John P.A. & Islam, Chris-Gabriel & Raters, Fabian H. C., 2023. "Statistical reporting errors in economics," MetaArXiv mbx62, Center for Open Science.
  3. 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).
  4. Bajzik, Josef, 2021. "Trading volume and stock returns: A meta-analysis," International Review of Financial Analysis, Elsevier, vol. 78(C).
  5. Abel Brodeur & Scott Carrell & David Figlio & Lester Lusher, 2023. "Unpacking P-hacking and Publication Bias," American Economic Review, American Economic Association, vol. 113(11), pages 2974-3002, November.
  6. Bajzík, Josef & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2023. "Does Shareholder Activism Create Value? A Meta-Analysis," CEPR Discussion Papers 18233, Centre for Economic Policy Research.
  7. 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.
  8. Simona Malovaná & Martin Hodula & Zuzana Gric & Josef Bajzík, 2025. "Borrower‐based macroprudential measures and credit growth: How biased is the existing literature?," Journal of Economic Surveys, Wiley Blackwell, vol. 39(1), pages 66-102, February.
  9. Kadriu, Valon, 2026. "Novelty and Selective Reporting in Economics," I4R Discussion Paper Series 310, The Institute for Replication (I4R).
  10. de Gendre, Alexandra & Salamanca, Nicolás, 2026. "Reproduction Report on "Unpacking p-Hacking and Publication Bias"," I4R Discussion Paper Series 305, The Institute for Replication (I4R).
  11. Buehling, Kilian, 2021. "Changing research topic trends as an effect of publication rankings – The case of German economists and the Handelsblatt Ranking," Journal of Informetrics, Elsevier, vol. 15(3).
  12. Samuel Fiifi Eshun & Evzen Kocenda, 2025. "What Really Drives Financial Inclusion? Evidence from a Meta-Analysis of 3,817 Estimates," Working Papers IES 2025/14, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Aug 2025.
  13. 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.
  14. Brodeur, Abel & Bruns, Stephan B. & Herwartz, Helmut & Islam, Chris-Gabriel, 2026. "How did empirical economic research improve over the last decades: Recent trends and prospects," I4R Discussion Paper Series 315, The Institute for Replication (I4R).
  15. Julia Jerke & Antonia Velicu & Fabian Winter & Heiko Rauhut, 2025. "Publication bias in the social sciences since 1959: Application of a regression discontinuity framework," PLOS ONE, Public Library of Science, vol. 20(2), pages 1-27, February.
  16. 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).
  17. Bruns, Stephan B. & Ioannidis, John P.A., 2020. "Determinants of economic growth: Different time different answer?," Journal of Macroeconomics, Elsevier, vol. 63(C).
  18. 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.
  19. Graham Elliott & Nikolay Kudrin & Kaspar Wüthrich, 2022. "Detecting p‐Hacking," Econometrica, Econometric Society, vol. 90(2), pages 887-906, March.
  20. Lee Jones & Adrian Barnett & Dimitrios Vagenas, 2025. "Common misconceptions held by health researchers when interpreting linear regression assumptions, a cross-sectional study," PLOS ONE, Public Library of Science, vol. 20(6), pages 1-28, June.
  21. Graham Elliott & Nikolay Kudrin & Kaspar Wuthrich, 2022. "The Power of Tests for Detecting $p$-Hacking," Papers 2205.07950, arXiv.org, revised Aug 2025.
  22. Salandra, Rossella & Criscuolo, Paola & Salter, Ammon, 2021. "Directing scientists away from potentially biased publications: the role of systematic reviews in health care," Research Policy, Elsevier, vol. 50(1).
  23. repec:osf:metaar:mbx62_v1 is not listed on IDEAS
  24. Brodeur, Abel & Cook, Nikolai M. & Heyes, Anthony & Wright, Taylor, 2025. "Media Stars: Statistical Significance and Research Impact," I4R Discussion Paper Series 254, The Institute for Replication (I4R).
  25. Ebersberger, Bernd & Galia, Fabrice & Laursen, Keld & Salter, Ammon, 2021. "Inbound Open Innovation and Innovation Performance: A Robustness Study," Research Policy, Elsevier, vol. 50(7).
  26. 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).
  27. 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, Research and Statistics Department.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.