Recent Publications (2019-Present)

  • Alinaghi, N. and Reed, W.R. (2020). Taxes and economic growth in OECD countries: A meta-analysis. Public Finance Review.
  • Atanda, A. & Reed, W.R. (2020). Not Evidence of Baumol’s Cost Disease. International Journal for the Re-Views of Empirical Economics, Vol. 4.
  • Bandaranayake, S., Das, K., & Reed, W.R. (2020). Are Competitive Banking Systems Really More Stable?” Critical Finance Review, Vol 9, Issue 1-2.
  • Bandaranayake, S., Das, K., & Reed, W.R. (2020). Another Look at ‘Bank Competition and Financial Stability: Much Ado About Nothing?’” Journal of Economic Surveys, 34(2), 344-371.
  • Cockburn, A., Dragicevic, P., Besançon, L., & Gutwin, C. (2020). Threats of a replication crisis in empirical computer science. Communications of the ACM63(8), 70-79.
  • Duan, J., Das, K., Meriluoto, M., & Reed, W.R. (2020). The Effect of Spillovers on Exports: A Meta-analysis. Review of World Economics, 156(2), 219-249.
  • Haig, B. D. (2020). Big data science: A philosophy of science perspective. In S. E. Woo, R. Proctor, & L. Tay (Eds.), Big data in psychological sciences: Horizons and challenges (pp. 15-33). APA Books.
  • Haig, B. D. (2020). What can psychology’s statistics reformers learn from the error-statistical perspective. Methods in
  • Haig, B. D. (2019). Don’t retire significance testing. Nature, 569, 487.
  • Haig, B. D. (2019). The importance of scientific method for psychological science. Psychology, Crime, & Law, 25, 527-541.
  • Havranek, T., Stanley, T.D., Doucouliagos, H., Bom, P., Reed, W.R., & Rost, K. (2020). Reporting Guidelines for Meta-Analysis in Economics. Journal of Economic Surveys.
  • Hubbard, R., Haig, B. D., & Parsa, R. (2019). The limited role of formal statistical inference in scientific inference. The American Statistician, 73, 91-98.
  • Hong, S., and Reed, W.R. (2020). Using Monte Carlo experiments to select meta-analytic estimators.” Research Synthesis Methods.
  • Reed, W.R. (2019). Takeaways from the Special Issue on the Practice of Replication. Economics: The Open-Access, Open-Assessment E-Journal, 2019-13, 1–11.
  • Ward, M., & Kemp, S. (2019). The probability of conceptual replication and the variability of effect size. Methods in Psychology, 1, 100002.
  • Wijsen, L. D., van Bork, R., Haig, B. D., & Borsboom, D. (2020). Reflective, formative, and network models: Causal interpretations of three different psychometric models. In H. J. Stam & H. Looren de Jong (Eds.), The SAGE handbook of theoretical psychology. London: Sage (in press).
  • Williams, L., & Kemp, S. (2019). Independent markers of Master’s theses show low levels of agreement. Assessment and Evaluation in Higher Education, 44(5), 764-771. doi: 10.1080/02602938.2018.1535052.
  • Xue, X., Reed, W.R., & Menclova, A. (2020). Social Capital and Health: A Meta-analysis. Journal of Health Economics, 72, 102317.