We document the portfolio activity of federal housing agencies and provide evidence on its impact on mortgage markets and the economy. Through a narrative analysis, we identify historical policy changes leading to expansions or contractions in agency mortgage holdings. Based on those regulatory events that we classify as unrelated to short-run cyclical or credit market shocks, we find that an increase in mortgage purchases by the agencies boosts mortgage lending, in particular refinancing, and lowers mortgage rates. Agency purchases also influence prices in other asset markets, stimulate residential investment, and expand homeownership. We compare these effects to those of conventional monetary policy shocks, and we provide evidence on the interactions between housing credit and monetary policies.

This study examines how the use of causal language in conveying relative performance feedback impacts subsequent task performance. Research in linguistics has shown that causal language, defined as language reflecting the search for reasons (commonly expressed through words such as “because” and “thus”), impacts how recipients process received information. We use a laboratory experiment to show that causal language has a differential effect when used in negative versus positive feedback. In the case where initial relative performance is low, the high use of causal language in the resulting negative performance feedback leads to a greater improvement in subsequent performance, compared to low use of causal language. Conversely, when initial relative performance is high, greater use of causal language in delivering positive feedback results in a smaller improvement in performance. Our results indicate that employees' cognitive processes and reactions to performance feedback are influenced by the language used in explanations.

Under the Fundamental Review of the Trading Book, capital charges are based on the coherent Expected Shortfall (ES) risk measure, which is sensitive to tail risk. We argue that backtesting of the forecasting models used to derive ES can be based on a multinomial test of Value-at-Risk (VaR) exceptions at several levels. Using simulation experiments with heavy-tailed distributions and GARCH volatility models, we design a statistical procedure to show that at least four VaR levels are required to obtain tests for misspecified trading book models that are more powerful than single-level (or even two-level) binomial exception tests. A traffic-light system for model approval is proposed and illustrated with three real-data examples spanning the 2008 financial crisis.

We explore the role of natural characteristics in determining the worldwide spatial distribution of economic activity, as proxied by lights at night, observed across 240,000 grid cells. A parsimonious set of 24 physical geography attributes explains 47% of worldwide variation and 35% of within-country variation in lights. We divide geographic characteristics into two groups, those primarily important for agriculture and those primarily important for trade, and confront a puzzle. In examining within-country variation in lights, among countries that developed early, agricultural variables incrementally explain over 6 times as much variation in lights as do trade variables, while among late developing countries the ratio is only about 1.5, even though the latter group is far more dependent on agriculture. Correspondingly, the marginal effects of agricultural variables as a group on lights are larger in absolute value, and those for trade smaller, for early developers than for late developers. We show that this apparent puzzle is explained by persistence and the differential timing of technological shocks in the two sets of countries. For early developers, structural transformation due to rising agricultural productivity began when transport costs were still high, so cities were localized in agricultural regions. When transport costs fell, these agglomerations persisted. In late-developing countries, transport costs fell before structural transformation. To exploit urban scale economies, manufacturing agglomerated in relatively few, often coastal, locations. Consistent with this explanation, countries that developed earlier are more spatially equal in their distribution of education and economic activity than late developers.

We investigate the role of uncertainty in business cycles. First, we demonstrate that microeconomic uncertainty rises sharply during recessions, including during the Great Recession of 2007–2009. Second, we show that uncertainty shocks can generate drops in gross domestic product of around 2.5% in a dynamic stochastic general equilibrium model with heterogeneous firms. However, we also find that uncertainty shocks need to be supplemented by first†moment shocks to fit consumption over the cycle. So our data and simulations suggest recessions are best modelled as being driven by shocks with a negative first moment and a positive second moment. Finally, we show that increased uncertainty can make first†moment policies, like wage subsidies, temporarily less effective because firms become more cautious in responding to price changes.

Using a dataset of 3,234 letters sent by 434 hedge funds to their investors during 1995–2011, we study what motivates hedge fund managers to make voluntary disclosures. Contrary to the hedge fund industry's reputation for opacity, we observe that managers provide their investors with an array of quantitative and qualitative information about fund returns, risk exposures, holdings, benchmarks, performance attribution, and future prospects. We find that the tensions between the agency costs faced by investors and the proprietary costs faced by managers affect fund disclosures. Consistent with managers reducing proprietary costs, better-performing funds disclose less quantitative data about performance and holdings, and consistent with the presence of agency costs, riskier funds disclose less quantitative information about performance and assets under management.

Since the early 1990s, as the United States borrowed heavily from the rest of the world, employment in the US goods-producing sector has fallen. We construct a dynamic general equilibrium model with several mechanisms that could generate declining goods-sector employment: foreign borrowing, nonhomothetic preferences, and differential productivity growth across sectors. We find that only 15.1 percent of the decline in goods-sector employment from 1992 to 2012 stems from US trade deficits; most of the decline is due to differential productivity growth. As the United States repays its debt, its trade balance will reverse, but goods-sector employment will continue to fall.

We examine the impact of rivals’ competitive activities on firms’ quantity-of-capital constraints in 60 countries. Prior work shows that competition increases the costs of debt and equity, which reduce the economic profit from investment. Capital constraints, however, may prevent firms from exploiting all positive NPV projects. Using unique survey data and several econometric techniques, we address endogeneity problems that affect both capital constraints and rivals’ competitive activities. We find that rivals’ competitive activities are positively associated with firms’ capital constraints and are more strongly correlated with capital constraints than banking sector competition. We also show that quantity-of-capital constraints are negatively related to firm growth, incremental to the cost of capital.

We show evidence that consistent with category-learning behavior, investors allocate more attention to macroeconomic news than to firm-specific news, such as earnings announcements. Despite the distracting effect of macroeconomic news on investor attention, we find that earnings announcements with concurrent macroeconomic news announcements actually have significantly stronger immediate market response and weaker post-earnings announcement drift. We hypothesize that the combined total attention to macroeconomic news and earnings announcements helps investors understand both the systematic and firm-specific components of earnings surprises. Consistent with the hypothesis, our results show that the macroeconomic news effect is mainly driven by firms with high exposure to macroeconomic news. Moreover, we show that the effect is stronger when macroeconomic news contains more information and for firms with greater information uncertainty. Finally, we provide evidence that macroeconomic news helps reduce stock return uncertainty and enhance stock price efficiency.

We examine the housing market and residential mobility changes that occur soon after a Title 1 school fails to achieve adequate yearly progress (AYP) in Charlotte, North Carolina. Students within attendance zones of failing schools are given priority in lotteries for oversubscribed schools, potentially increasing the attractiveness of living in a failing school attendance zone. We find that housing prices, home buyer income, and the probability of attending a nonassigned school increase in the highest-quality neighborhoods within failing school attendance zones. Our results are driven largely by the behavior of new residents.