We measure the effect of bank failures on economic growth using data from 1900 to 1930, a period without active government stabilization policies and several severe banking crises. VAR model estimates suggest bank failures have long-lasting negative effects on economic growth. A bank failure shock involving one percent of system liabilities leads to a 6.5% reduction in GNP growth within three quarters and a measurable reduction for 10 quarters. Panel VAR model estimates for the 48 states show bank failures aggravate commercial non-bank failures. Institutional and regulatory features affect the intensity of the bank failure effect. We find that bank failures have a larger impact in states with deposit insurance, in states more heavily concentrated in agriculture, and in states with fewer large firms. However, because a number of states exhibit all three characteristics, we are not able to clearly identify the true marginal effects of these factors independently.

Positive co-movements in bank leverage and assets are associated with leverage procyclicality. As wholesale funding allows banks to quickly adjust leverage, banks with wholesale funding are expected to exhibit higher leverage procyclicality. Using Canadian data, we analyze (i) if leverage procyclicality exists and its dependence on wholesale funding, (ii) market factors associated with this procyclicality, and (iii) if banking-sector leverage procyclicality forecasts market volatility. The findings suggest that procyclicality exists and that its degree positively depends on use of wholesale funding. Furthermore, funding-market liquidity matters for this procyclicality. Finally, banking-sector leverage procyclicality can forecast volatility in the equity market.

Using original, representative survey data, we document that analytical, routine, and manual job tasks can be measured with high validity, vary substantially within and between occupations, are significantly related to workers' characteristics, and are robustly predictive of wage differences between occupations and among workers in the same occupation. We offer a conceptual framework that makes explicit the causal links between human capital endowments, occupational assignment, job tasks, and wages, which motivate a Roy model of the allocation of workers to occupations. We offer two simple tests of the model's gross predictions for the relationship between tasks and wages, both of which receive qualified empirical support.

We find an asset pricing anomaly whereby companies have positive abnormal returns in months when they are predicted to issue a dividend. Abnormal returns in predicted dividend months are high relative to other companies and relative to dividend-paying companies in months without a predicted dividend, making risk-based explanations unlikely. The anomaly is as large as the value premium, but less volatile. The premium is consistent with price pressure from dividend-seeking investors. Measures of liquidity and demand for dividends are associated with larger price increases in the period before the ex-day (when there is no news about the dividend) and larger reversals afterward.

This paper presents the first empirical evidence showing that the marriage of a member of the controlling family adds value to public corporations. The results, based on a uniquely comprehensive data set from Thailand, show that the family firm’s stock price increases when the partner is from either a prominent business or a political family. Abnormal returns tend to be higher for firms whose operation depends on extensive networks. In contrast, marriages to ordinary citizens are not associated with any abnormal returns. These findings are generally supportive of the value of networks in general and marriage in particular.

This paper empirically examines how capital affects a bank’s performance (survival and market share) and how this effect varies across banking crises, market crises, and normal times that occurred in the US over the past quarter century. We have two main results. First, capital helps small banks to increase their probability of survival and market share at all times (during banking crises, market crises, and normal times). Second, capital enhances the performance of medium and large banks primarily during banking crises. Additional tests explore channels through which capital generates these effects. Numerous robustness checks and additional tests are performed.

This paper provides a survey of business cycle facts, updated to take account of recent data. Emphasis is given to the Great Recession, which was unlike most other postwar recessions in the United States in being driven by deleveraging and financial market factors. We document how recessions with financial market origins are different from those driven by supply or monetary policy shocks. This helps explain why economic models and predictors that work well at some times do poorly at other times. We discuss challenges for forecasters and empirical researchers in light of the updated business cycle facts.