Macroeconomics

In countries undergoing de-industrialization — and which isn’t, among developed economies—an internet-based economic growth has been widely recommended as a way to create economic activity and thereby reduce the inequality of post-industrial society. In particular, the opportunities that the internet affords to the ‘creative workforce’ are believed to be an engine for employment, at a time when industrial jobs are being automated.

We combine unique administrative and survey data to study the match between firms and managers. The data include manager characteristics, firm characteristics, detailed measures of managerial practices, and outcomes for the firm and the manager. A parsimonious model of matching and incentives generates implications that we test with our data. We use the model to illustrate how risk aversion and talent determine how firms select and motivate managers.

In this paper, we discuss the role of overconfidence as an explanation for these patterns. Overconfidence means having mistaken valuations and believing in them too strongly. It might seem that actors in liquid financial markets should not be very susceptible to overconfidence, because return outcomes are measurable, providing extensive feedback. However, overconfidence has been documented among experts and professionals, including those in the finance profession.

We introduce a regression-based nested Monte Carlo simulation method for the estimation of financial risk. An outer simulation level is used to generate financial risk factors and an inner simulation level is used to price securities and compute portfolio losses given risk factor outcomes. The mean squared error (MSE) of standard nested simulation converges at the rate, where measures computational effort. The proposed regression method combines information from different risk factor realizations to provide a better estimate of the portfolio loss function.

This article studies the causes of China’s Great Famine, during which 16.5 to 45 million individuals perished in rural areas. We document that average rural food retention during the famine was too high to generate a severe famine without rural inequality in food availability; that there was significant variance in famine mortality rates across rural regions; and that rural mortality rates were positively correlated with per capita food production, a surprising pattern that is unique to the famine years.

This paper studies the optimal level of discretion in policymaking. We consider a fiscal policy model where the government has time-inconsistent preferences with a present bias towards public spending. The government chooses a fiscal rule to trade off its desire to commit to not overspend against its desire to have flexibility to react to privately observed shocks to the value of spending. We analyze the optimal fiscal rule when the shocks are persistent.

We conduct the first nationwide study of incentives under the No Child Left Behind (NCLB) Act, which requires states to punish schools failing to meet target passing rates on students' standardized exams. States' idiosyncratic policies created variation in the risk of failure among very similar schools in different states, which we use to identify effects of accountability pressure.

We conduct and analyze two large surveys of hypothetical annuitization choices. We find that allowing individuals to annuitize a fraction of their wealth increases annuitization relative to a situation where annuitization is an "all or nothing" decision. Very few respondents choose declining real payout streams over flat or increasing real payout streams of equivalent expected present value. Highlighting the effects of inflation increases demand for cost of living adjustments. Frames that highlight flexibility, control, and investment significantly reduce annuitization.

The emergence of large longitudinal datasets linking students to teachers has led to an explosion in the study of teacher effects on student outcomes by economists over the last decade. One large literature has documented wide variation in teacher effectiveness that is not well explained by observable student or teacher characteristics. A second literature has investigated how educational outcomes might be improved by leveraging teacher effectiveness, through processes of recruitment, assignment, compensation, evaluation, promotion, and retention.