References
- Hayek, F. 1945. The use of knowledge in society. American Economic Review 35 (4): 519–30.
- Leamer, E. E. 1983. Let’s take the con out of econometrics. American Economic Review 73 (1): 31–43.
- Lodge, D. 2008. Deaf sentence: A novel. London: Penguin.
- McCloskey, D. N., and S. T. Ziliak. 1996. The standard error of regression. Journal of Economic Literature 34 (1): 97–114.
- McCloskey, D. N., and S. T. Ziliak. 2008. Signifying nothing: A reply to Hoover and Siegler. Journal of Economic Methodology 15 (1): 39–55.
- McCloskey, D. N., and S. T. Ziliak. 2012. Statistical significance in the new Tom and the old Tom: A reply to Thomas Mayer on statistical significance. Econ Journal Watch 9 (3): 298–308.
- McCloskey, D. N., and S. T. Ziliak. 2013. We agree that statistical significance proves essentially nothing: A rejoinder to Thomas Mayer. Econ Journal Watch 10 (1): 97–107.
- McWilliams, D. 2018. Renaissance nation: How the Pope’s children rewrote the rules for Ireland. Dublin: Gill.
- Morgenstern, O. 1963. On the accuracy of economic observations. 2nd ed. Princeton, NJ: Princeton University Press.
- Stokes, H. J. 1997. Specifying and diagnostically testing econometric models. 2nd ed. Westport, CT: Quorum Books/Greenwood Press.
- Stokes, H. J. 2005. The sensitivity of econometric results to alternative implementations of least squares. Journal of Economic and Social Measurement 30 (1): 9–38.
- Swann, G. M. P. 2019. Is precise econometrics an illusion? Journal of Economic Education 50 (4): 343–55.
- Tufte, E. R. 1983. The visual display of quantitative information. Cheshire, CT: Graphics Press.
- Verbeek, M. 2000. A guide to modern econometrics. New York: Wiley.
- Ziliak, S. T., and D. N. McCloskey. 2004. Size matters: The standard error of regressions in the American Economic Review. Journal of Socio-Economics 33 (5): 527–46. doi: 10.1016/j.socec.2004.09.024.
- Ziliak, S. T., and D. N. McCloskey. 2008. The cult of statistical significance: How the standard error costs us jobs, justice and lives. Ann Arbor, MI: University of Michigan Press.