We model the U.S. business cycle using a dynamic factor model that identifies common factors underlying fluctuations in state-level income and employment growth. We find three such common factors, each of which is associated with a set of factor loadings that indicate the extent to which each...

The authors survey the recent empirical literature using long-run restrictions to identify technology shocks and provide an illustrative walk-through of the long-run restricted vector autoregression (VAR) methodology in a bivariate framework. Additionally, they offer an alternative...

We analyze the relationship between housing and the business cycle in a set of 51 U.S. cities. Most surprisingly, we find that declines in house prices are often not followed by declines in employment. We also find that national permits are a better leading indicator for a city’s employment...

This paper develops a framework for inferring common Markov-switching components in a panel data set with large cross-section and time-series dimensions. We apply the framework to studying similarities and differences across U.S. states in the timing of business cycles. We hypothesize that there...

In 1962, Arthur Okun posited an empirical relationship between the change in the unemployment rate and real output growth. Since then, the media, policymakers, pundits, and intermediate macro students have used the so-called Okun’s law as a rule of thumb to relate changes in unemployment to...

A key question that has arisen during recent debates is whether government spending multipliers are larger during times when resources are idle. This paper seeks to shed light on this question by analyzing new quarterly historical data covering multiple large wars and depressions in the U.S. and...

Past studies have argued that housing is an important driver of business cycles. Housing markets, however, are highly localized, while business cycles are often measured at the national level. We model a national housing cycle using a panel of cities while also allowing for idiosyncratic...