In this handbook of labor economics chapter we examine the relationship between Human Resource Management (HRM) and productivity. HRM includes incentive pay (individual and group) as well as many non-pay aspects of the employment relationship such as matching (hiring and firing) and work...

While businesses require funding to start and grow, they also rely on human capital, which affects how they raise funds. Labor market frictions make financing labor different than financing capital. Unlike capital, labor cannot be owned and can act strategically. Workers face unemployment costs,...

Although economic models of training decisions are framed in terms of a company's calculation of the costs and benefits of such training, empirical work has never been able to test this model directly on company behavior. This paper utilizes a unique database to analyze the determinants of the...

Traditional human capital theory emphasizes a worker's investment in knowledge. However, when a worker is faced with day-to-day problems on the job, the solutions to the problems often require more knowledge from a team of experts within the firm. When a worker taps into the knowledge of...

Many researchers in both economics departments and business schools recently have become interested in examining how much of an effect human resource decisions and policies have on firm performance. This paper surveys the literature on unionism and productivity and discusses its implications for...

This paper presents market-based evidence that President Trump influences expectations about monetary policy. We use tick-by-tick fed funds futures data and a collection of Trump tweets criticizing the conduct of monetary policy and consistently advocating that the Fed lower interest rates....

A bona fide currency functions as a medium of exchange, a store of value, and a unit of account, but bitcoin largely fails to satisfy these criteria. Bitcoin has achieved only scant consumer transaction volume, with an average well below one daily transaction for the few merchants who accept it....

We use aggregated data from Facebook to show that COVID-19 was more likely to spread between regions with stronger social network connections. Areas with more social ties to two early COVID-19 “hotspots” (Westchester County, NY, in the U.S. and Lodi province in Italy) generally had more...

We introduce a new measure of social connectedness between U.S. county-pairs, as well as between U.S. counties and foreign countries. Our measure, which we call the "Social Connectedness Index" (SCI), is based on the number of friendship links on Facebook, the world's largest online social...

We use 633 days of tweets about the Euro/dollar exchange rate to determine their information content and the profitability of trading based on Twitter Sentiment. We develop a detailed lexicon used by FX traders to translate verbal tweets into positive, negative and neutral opinions. The...