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Resources for Veridical Testimony in Management Research
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Resources for Veridical Testimony in Management Research

Last Updated April 9, 2021

If you have a suggested addition, please email brentg@umd.edu

https://ter.ps/veridical 

Background:

Andrew A. King, Brent Goldfarb, and Timothy S. Simcoe “Learning from Testimony on Quantitative Research in Management”, forthcoming, Academy of Management Review. https://doi.org/10.5465/amr.2018.0421.

Hacking, I. (2001). An Introduction to Probability and Inductive Logic. In An Introduction to Probability and Inductive Logic. https://doi.org/10.1017/CBO9780511801297

Evan Starr and Brent Goldfarb. “A Binned Scatterplot Is Worth a Hundred Regressions: Diffusing a Simple Tool to Make Empirical Research Easier and Better”,  (2020) Strategic Management Journal 41(12):2261-2274. . https://doi.org/10.1002/smj.3199. (Final working paper copy).

Prespecification & The Problem of P

Olken, B. A. (2015). Promises and Perils of Pre-Analysis Plans. https://doi.org/10.1257/jep.29.3.61

Spanos, A. (2013). A frequentist interpretation of probability for model-based inductive inference. Synthese, 190(9). https://doi.org/10.1007/s11229-011-9892-x

Spanos, A. (2010). "Is frequentist testing vulnerable to the base-rate fallacy?"Philosophy ofScience 77(4): 565-583.

Simonsohn, U., Simmons, J. P., & Nelson, L. D. (2020). Specification curve analysis. Nature Human Behaviour, 4(11). https://doi.org/10.1038/s41562-020-0912-z

Gelman, A. (2014). "Preregistration: what’s in it for you?" Retrieved August, 28, 2019, https://statmodeling.stat.columbia.edu/2014/03/10/preregistration-whats/.

Brent Goldfarb and Andrew King, “Scientific Apophenia in Strategic Management Research: Significance Tests and Mistaken Inference.” (2016), Strategic Management Journal 37(1): 167-176.

Bettis, R. A. (2012). "The search for asterisks: Compromised statistical tests and flawed theories." Strategic Management Journal 33(1): 108-113.

                

Debate on making Belief Claims (Causality)

Heckman, J. J. (2000). Causal Parameters and Policy Analysis in Economics: A Twentieth Century Retrospective*. Quarterly Journal of Economics, 115(1), 45–97. https://doi.org/10.1162/003355300554674

Angrist, J. D., & Pischke, J.-S. (2010). The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics. Journal of Economic Perspectives, 24(2), 3–30. https://doi.org/10.1257/jep.24.2.3

Experiments in Strategy Research

Di Stefano, G., & Gutierrez, C. (2019). Under a magnifying glass: On the use of experiments in strategy research. Strategic Organization, 17(4), 497–507. https://doi.org/10.1177/1476127018803840

Abduction/Inference to the Best Explanation (IBE)

Douven, I. (2011). Abduction. Retrieved September 4, 2020, from The Stanford Encyclopedia of Philosophy (Summer 2017 Edition) website: https://plato.stanford.edu/archives/sum2017/entries/abduction/

Lipton, P. (2004). Inference to the Best Explanation. Routledge.

Woodward, J. (2000). Explanation and invariance in the special sciences. British Journal for the Philosophy of Science, 51(2), 197–254. https://doi.org/10.1093/bjps/51.2.197

Heckman, J. J. and B. Singer (2017). "Abducting Economics." American Economic Review

        107(5): 298-302.

                                

Tools for IBE

Evan Starr and Brent Goldfarb. “A Binned Scatterplot Is Worth a Hundred Regressions: Diffusing a Simple Tool to Make Empirical Research Easier and Better”,  (2020) Strategic Management Journal 41(12):2261-2274. . https://doi.org/10.1002/smj.3199. (Final working paper copy).

Sandeep Devanatha Pillai, Brent Goldfarb and David A. Kirsch, (2021). “Using Historical Methods to Improve Abduction and Inference to the Best Explanation in Strategy”. Working Paper.

Examples of IBE Papers

Sandeep Devanatha Pillai, Brent Goldfarb, and David Kirsch, “The Origins of Firm Strategy: Learning by Economic Experimentation and Strategic Pivots in the Early Automobile Industry”. (2020) Strategic Management Journal. 41(3): 369-399.

Epistemic Mapping:

Leamer, E. E. (1985). Sensitivity analyses would help. American Economic Review, Vol. 75. https://doi.org/10.1016/0169-2070(86)90114-7

Leamer, E. E. (1983). "Let's take the con out of econometrics." The American Economic Review 73(1): 31-43         

Leamer, E. E. (2010). "Tantalus on the Road to Asymptopia." Journal of Economic Perspectives 24(2): 31-46.

Andrew A. King, Brent Goldfarb, and Timothy S. Simcoe “Learning from Testimony on Quantitative Research in Management”, forthcoming, Academy of Management Review. https://doi.org/10.5465/amr.2018.0421.

Mapping Tools

Young, C., & Holsteen, K. (2017). Model Uncertainty and Robustness. Sociological Methods & Research, 46(1), 3–40. https://doi.org/10.1177/0049124115610347

Simonsohn, Simmons, Nelson (2020) “Specification Curve Analysis  Descriptive and Inferential Statistics for all Plausible Specifications” (.pdf|  STATA files .zip) Nature Human Behaviour; note: STATA files are heavily commented, useful for R users too.

Cristobal Young has a nice Stata routine for mapping that works with several empirical models: http://cristobalyoung.com/development/?page_id=62

Uri Simohnson has put together a list of other mapping routines: http://urisohn.com/specification-curve/

Mapping Examples

Brent Goldfarb and Liyue Yan. (2021). “Revisiting Zuckerman's (1999) Categorical Imperative: An Application of Epistemic Maps for Replication,  forthcoming, Strategic Management Journal (Appendix).

Durlauf, S. N., S. Navarro and D. A. Rivers (2016). "Model uncertainty and the effect of shall-issue right-to-carry laws on crime." European Economic Review 81: 32-67. (This paper maps specifications implemented in a broad range of studies.)