This paper evaluates the ability of autoregressive models, professional forecasters, and models that leverage unemployment flows to forecast the unemployment rate. We pay particular attention to flows-based approaches—the more reduced form approach of Barnichon and Nekarda (2012) and the more...

This paper looks at the effect of capital rules on a banking system that is connected through correlated credit exposures and interbank lending. Keeping total capital in the system constant, the reallocation rules, which combine individual bank characteristics and interconnectivity measures of...

We study the tax systems that arise in a once-and-for-all majority voting equilibrium embedded within a macroeconomic model of inequality. We find that majority voting delivers (i) a small set of outcomes, (ii) zero labor income taxation, and (iii) nearly zero transfers. We find that majority...

Economists are shifting attention and resources from work on survey data to work on “big data.” This analysis is an empirical exploration of the trade-offs this transition requires. Parallel models are estimated using the Federal Reserve Bank of New York Consumer Credit Panel/Equifax and the...

In Elamin (2013), the credit rating agency (CRA) cannot credibly fully reveal its information about the quality of a rated structured finance project, when ratings are unverifiable. Can the fear of losing its reputation discipline the CRA? In this paper, there is incomplete information about the...

This paper describes a dynamic factor model of 19 U.S. labor market indicators, covering the broad categories of unemployment and underemployment, employment, workweeks, wages, vacancies, hiring, layoffs, quits, and surveys of consumers’ and businesses’ perceptions. The resulting labor...

This paper shows entropic tilting to be a flexible and powerful tool for combining medium-term forecasts from BVARs with short-term forecasts from other sources (nowcasts from either surveys or other models). Tilting systematically improves the accuracy of both point and density forecasts, and...

Structural Causal Models define causal effects in terms of a single Data Generating Process (DGP), and the Rubin Causal Model defines causal effects in terms of a model that can represent counterfactuals from many DGPs. Under these different definitions, notationally similar causal effects make...

The Moving to Opportunity (MTO) experiment randomly assigned housing vouchers that could be used in low-poverty neighborhoods. Consistent with the literature, I find that receiving an MTO voucher had no effect on outcomes like earnings, employment, and test scores. However, after studying the...

In the years since Michael Porter’s paper about the potential competitiveness of inner cities there has been growing evidence of a residential resurgence in urban neighborhoods. Yet, there is less evidence on the competitiveness of inner cities for employment. We document the trends in net...