We review the literature on the empirical characteristics of the global financial cycle and associated stylized facts on international capital flows, asset prices, risk aversion and liquidity in the ...

Starting in January 2025, New York City became the first city in the United States to introduce a fee for vehicles entering its central business district (CBD). Using Google Maps Traffic Trends, we ...

My research with collaborators digs deeper into the workings of specific War on Poverty programs, seeking evidence about ...

This paper proposes novel natural language methods to measure worker rights from collective bargaining agreements (CBAs) for use in empirical economic analysis. Applying unsupervised text-as-data ...

2025, Long-Term Asset Management, Ishita Sen, "The Market for Sharing Interest Rate Risk: Quantities and Asset Prices" ...

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In addition to working papers, the NBER disseminates affiliates’ latest findings through a range of free periodicals — the NBER Reporter, the NBER Digest, the Bulletin on Retirement and Disability, ...

Phone usage in the classroom has been linked to worsened academic outcomes. We present findings from a field experiment conducted at a large public university in partnership with an app marketed as a ...

This paper examines how power lawyers shape judicial and economic outcomes by studying the “revolving door” between judges and lawyers in China’s judicial system—namely, former judges who quit the ...

The analysis of corporate governance begins with a central feature of modern capitalism—the separation of ownership and control in large corporations—first empirically documented by Berle and Means ...

We examine how the political ideology of corporate leaders shapes cross-border firm networks. Exploiting changes in ideological alignment between U.S. firm CEOs and foreign governments around close ...

We study the post-World War II “Golden Age” of American corporate research from 1945 to 1980, using multiple indicators of corporate research activity. We use an ensemble learning approach to classify ...