National Bureau of Economic Research

About: National Bureau of Economic Research is a nonprofit organization based out in Cambridge, Massachusetts, United States. It is known for research contribution in the topics: Monetary policy & Population. The organization has 2626 authors who have published 34177 publications receiving 2818124 citations. The organization is also known as: NBER & The National Bureau of Economic Research.

Distributional National Accounts: Methods and Estimates for the United States

Abstract: This article combines tax, survey, and national accounts data to estimate the distribution of national income in the United States since 1913. Our distributional national accounts capture 100% of national income, allowing us to compute growth rates for each quantile of the income distribution consistent with macroeconomic growth. We estimate the distribution of both pretax and posttax income, making it possible to provide a comprehensive view of how government redistribution affects inequality. Average pretax real national income per adult has increased 60% from 1980 to 2014, but we find that it has stagnated for the bottom 50% of the distribution at about $16,000 a year. The pretax income of the middle class—adults between the median and the 90th percentile—has grown 40% since 1980, faster than what tax and survey data suggest, due in particular to the rise of tax-exempt fringe benefits. Income has boomed at the top. The upsurge of top incomes was first a labor income phenomenon but has mostly been a capital income phenomenon since 2000. The government has offset only a small fraction of the increase in inequality. The reduction of the gender gap in earnings has mitigated the increase in inequality among adults, but the share of women falls steeply as one moves up the labor income distribution, and is only 11% in the top 0.1% in 2014.

The Beveridge Curve

Abstract: Over the past thirty years, macroeconomists thinking about aggregate labor market dynamics have organized their thought around two relations, the Phillips curve and the Beveridge curve. The Beveridge curve, the relation between unemployment and vacancies, has very much played second fiddle. We think that emphasis is wrong. The Beveridge relation comes conceptually first and contains essential information about the functioning of the labor market and the shocks that affect it. Labor markets in the United States are characterized by huge gross flows. Close to seven million workers move either into or out of employment every month. While that movement could be consistent with workers reallocating themselves across a given set of jobs, recent evidence by Steve Davis and John Haltiwanger suggests that these flows are associated with high rates of job creating and job destruction. Using a measure of job turnover, defined as the sum of employment increases in new or expanding establishments and employment decreases in shrinking or dying establishments, Davis and Haltiwanger find that during 1979-83, a period of shrinking employment, job turnover in manufacturing averaged some 10 percent per quarter. From a macroeconomic viewpoint, the labor market is highly effective in matching workers and jobs, yet those flows are so large that they imply the coexistence of unfilled jobs and unemployed workers. Examination of the joint movement of unemployment and vacancies can tell us a great deal about the effectiveness of the matching process, as well as about the nature of shocks affecting the labor market. In this paper, we first develop a conceptual frame in which to think about gross flows, about the matching process, and about the effects of shocks on unemployment and vacancies. We then turn to the empirical evidence, using data for the postwar United States. We focus first on the matching process, estimating the "matching function," the aggregate relation between unemployment, vacancies, and new hires. We then interpret the Beveridge relation. More precisely, we look at the joint behavior of unemployment, employment, and vacancies, and infer from it the sources and the dynamic effects of the shocks that have affected the labor market over the past 35 years.

The Behavior of Stock Prices Around Institutional Trades

Abstract: All trades executed by 37 large investment management firms from July 1986 to December 1988 are used to study the price impact and execution cost of the entire sequence ("package") of trades that we interpret as an order. We find that market impact and trading cost are related to firm capitalization, relative package size and, most importantly, to the identity of the management firm behind the trade. Money managers with high demands for immediacy tend to be associated with larger market impact.

The fall of the labor share and the rise of superstar firms

Abstract: The fall of labor's share of GDP in the United States and many other countries in recent decades is well documented but its causes remain uncertain. Existing empirical assessments of trends in labor's share typically have relied on industry or macro data, obscuring heterogeneity among firms. In this paper, we analyze micro panel data from the U.S. Economic Census since 1982 and international sources and document empirical patterns to assess a new interpretation of the fall in the labor share based on the rise of \superstar firms." If globalization or technological changes advantage the most productive firms in each industry, product market concentration will rise as industries become increasingly dominated by superstar firms with high profits and a low share of labor in firm valueadded and sales. As the importance of superstar firms increases, the aggregate labor share will tend tofall. Our hypothesis offers several testable predictions: industry sales will increasingly concentrate in a small number of firms; industries where concentration rises most will have the largest declines in the labor share; the fall in the labor share will be driven largely by between-firm reallocation rather than (primarily) a fall in the unweighted mean labor share within firms; the between-firm reallocation component of the fall in the labor share will be greatest in the sectors with the largest increases in market concentration; and finally, such patterns will be observed not only in U.S. firms, but also internationally. We find support for all of these predictions.

Conditioning Variables and the Cross Section of Stock Returns

Abstract: Previous studies identify predetermined variables that predict stock and bond returns through time. This paper shows that loadings on the same variables provide significant cross-sectional explanatory power for stock portfolio returns. The loadings are significant given the three factors advocated by Fama and French ~1993! and the four factors of Elton, Gruber, and Blake ~1995!. The explanatory power of the loadings on lagged variables is robust to various portfolio grouping procedures and other considerations. The results carry implications for risk analysis, performance measurement, cost-of-capital calculations, and other applications.