Causal inference methods are widely used in empirical research; however, there is a paucity of evidence on the properties of shared latent factor estimators in the presence of contaminated ...

The child mental health crisis has been described as the “defining public health crisis of our time.” This article addresses three myths about the crisis: (i) the idea that the crisis is new; (ii) the ...

Flood protection infrastructure investments, such as Army Corps of Engineers levees, can enhance resilience to flood risks amplified by climate change. We estimate levees’ benefits by exploiting ...

We introduce a new methodology to detect and measure economic activity using geospatial data and apply it to steel production, a major industrial pollution source worldwide. Combining plant output ...

Using population-wide Norwegian and Swedish data and quasi-experimental methods, we show that a menopause diagnosis leads to lasting drops in earnings and employment, alongside greater reliance on ...

As national income accounting standards are updated to incorporate expanded guidance on issues related to natural capital, ...

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How can we use the novel capacities of large language models (LLMs) in empirical research? And how can we do so while accounting for their limitations, which are themselves only poorly understood? We ...

We study market illiquidity in an economy subject to non-fundamental shocks. Asset trading occurs via decentralized one-on-one bargaining. The model has multiple rational expectations equilibria; we ...

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