
handle: 10419/301430 , 10419/305198
Graduating economics PhDs face intense competition when seeking faculty or research positions at universities and research institutions. We examine the relationship between statistically significant results, arguably used as indicators of research quality in a competitive academic market, and academic hiring outcomes. We start by investigating the determinants of academic success by analyzing 604 job market papers (JMPs) from 2018-2019 to 2020- 2021. We then turn to the practice of p-hacking focusing on 150 empirical JMPs. We find evidence that marginally significant results in JMPs are associated with higher academic placement likelihoods. During the COVID-19 pandemic, a tighter job market strengthened this relationship without altering the p-hacking behavior of PhD candidates, suggesting that our results reflect a recruitment bias by academic employers. We also find evidence of publication bias, suggesting that recruiters may use statistical significance to gauge candidates' potential for future publications, thus influencing recruitment decisions. Overall, our findings provide insights into the dynamics of the academic job market and the factors influencing career trajectories in academia.
C93, p-Hacking: Publication bias, B41, C40, ddc:330, C13, Academic job market, Publication bias, Research credibility, p-Hacking
C93, p-Hacking: Publication bias, B41, C40, ddc:330, C13, Academic job market, Publication bias, Research credibility, p-Hacking
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
