Modern decision-making depends on extracting reliable patterns from noisy, heterogeneous data—tables, time series, text, and graphs. After collecting and unifying these sources, data must be cleaned, transformed, and converted into model-ready features. Modeling techniques span time-series...

Millions of parents across Europe use mobile baby-tracking applications. These digital aides generate intimate data sets by accessing sensitive information about (un)born babies, pregnancies, and family caregiving routines. Crucially, the tracking infrastructures embedded in these apps enable...

Millions of parents across Europe use mobile baby-tracking applications. These digital aides generate intimate data sets by accessing sensitive information about (un)born babies, pregnancies, and family caregiving routines. Crucially, the tracking infrastructures embedded in these apps enable...

In this paper, we provide systematic evidence in support of the long-standing hypothesis that taxation was an important driver of the French Revolution. We first document that areas with heavier taxes experienced more riots between 1750 and 1789 and voiced more complaints against taxation in the...

In this paper, we provide systematic evidence in support of the long-standing hypothesis that taxation was an important driver of the French Revolution. We first document that areas with heavier taxes experienced more riots between 1750 and 1789 and voiced more complaints against taxation in the...

We consider two trade-offs inherent to extraordinary forward guidance (EFG): potency versus flexibility, and the credibility of forward guidance versus the credibility of inflation targeting.We argue that the form of EFG used by the Bank of Canada during the COVID‑19 pandemic balanced both...

Chapter 1: Unveiling the Health Care Crisis in South Asia: A Call for Transformation Amplified by COVID-19 -- Chapter 2: Confronting the Socio-Economic Challenges Stemming from the Extraordinary Health Crisis Created by COVID-19 -- Chapter 3: Exploring the Impact of Extraordinary Health Hazards...

We test whether forecast bias affects individual investors' stock trading by combining bias measures from laboratory experiments with administrative trade data. Forecast bias is positively associated with past excess returns of purchased stocks: Compared to contrarians, extrapolators purchase...

We test whether forecast bias affects individual investors' stock trading by combining bias measures from laboratory experiments with administrative trade data. Forecast bias is positively associated with past excess returns of purchased stocks: Compared to contrarians, extrapolators purchase...