Fellowships for graduate students studying behavioral macroeconomics, sponsored by the Alfred P. Sloan Foundation, have been ...

The in-person participants represented 455 universities, central banks, think tanks, businesses, and gov The 582 research papers presented during the course of the Summer Institute were selected from ...

Green finance emphasizes “additionality,” meaning funded projects should offer distinct environmental benefits beyond standard practice. Analysis of U.S. corporate and municipal green bonds, however, ...

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Parenting is widely considered to be among the most important influences on early childhood (EC) development. But to what extent and under what circumstances can EC parenting programs improve child ...

There is a rapidly advancing literature on the macroeconomics of climate change. This review focuses on developments in the construction and solution of structural integrated assessment models (IAMs), ...

We investigate the resilience of CESEE countries during ECB monetary cycles after the entrance of ten countries to the EU in 2004. Undeniably, these countries have experienced a m ...

We examine the distributional consequences of trade using the New World Grain Invasion that occurred in the second half of the 19th century. We use a newly-created dataset on population, employment by ...

We argue that workers must take costly actions (“conflict”) to have nominal wages catch up with inflation, meaning there are welfare costs even if real wages do not fall as inflation rises. We study a ...

This paper explores the realities of disclosure risks in the current big data landscape, examining implications for individuals, society, and the evolving ethical landscape. One these realities is ...

The jointly optimal monetary and fiscal policy mix in a multi-sector New Keynesian model with sectoral government spending and productivity shocks entails a separation of roles: Sectoral government ...

Credit scores are critical for allocating consumer debt in the United States, yet little evidence is available on their performance. We benchmark a widely used credit score against a machine learning ...