Pascal Michaillat
· ProfessorUniversity of California, Santa Cruz · Economics
Active 2006–2025
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About
Pascal Michaillat is a professor of economics at the University of California, Santa Cruz. His primary research focus is on economic slack, with a particular emphasis on unemployment. He investigates why unemployment exists, the reasons behind its fluctuations over the business cycle, and how macroeconomic policies should respond to these fluctuations.
Research topics
- Mathematics
- Econometrics
- Macroeconomics
- Economics
- Monetary economics
Selected publications
National Bureau of Economic Research · 2022-07-01 · 8 citations
report1st authorCorrespondingCritical Values Robust to P-hacking
The Review of Economics and Statistics · 2024-05-06 · 5 citations
articleOpen accessSenior authorAbstract P-hacking is prevalent in reality but absent from classical hypothesis-testing theory. We therefore build a model of hypothesis testing that accounts for p-hacking. From the model, we derive critical values such that, if they are used to determine significance, and if p-hacking adjusts to the new significance standards, then spurious significant results do not occur more often than intended. Because of p-hacking, such robust critical values are larger than classical critical values. In…
Early and Accurate Recession Detection Using Classifiers on the Anticipation-Precision Frontier
National Bureau of Economic Research · 2025-07-01 · 2 citations
reportOpen access1st authorCorrespondingarXiv (Cornell University) · 2024-01-23 · 2 citations
preprintOpen access1st authorCorrespondingThis paper proposes a new, Beveridgean model of the Phillips curve. While the New Keynesian Phillips Curve is based on monopolistic pricing under price-adjustment costs, the Beveridgean Phillips curve is based on directed-search pricing under price-adjustment costs. Under directed-search pricing, prices respond to slack instead of marginal costs. The Beveridgean Phillips curve links the inflation gap to the unemployment gap, with the following properties. First, it produces the divine coincidenc…
Critical Values Robust to P-hacking
RePEc: Research Papers in Economics · 2020-05-08 · 2 citations
preprintOpen accessSenior authorP-hacking is prevalent in reality but absent from classical hypothesis testing theory. As a consequence, significant results are much more common than they are supposed to be when the null hypothesis is in fact true. In this paper, we build a model of hypothesis testing with p-hacking. From the model, we construct critical values such that, if the values are used to determine significance, and if scientists' p-hacking behavior adjusts to the new significance standards, significant results occur…
Frequent coauthors
- 59 shared
Emmanuel Saez
- 11 shared
Camille Landais
London School of Economics and Political Science
- 10 shared
Kristóf Madarász
Laser Scan Engineering (United Kingdom)
- 10 shared
Erik Eyster
University of California, Santa Barbara
- 8 shared
Adam McCloskey
- 6 shared
Andreas Stolcke
- 5 shared
George A. Akerlof
Chatham House
- 5 shared
Jitendra Malik
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