Knowledge that Transforms

We use data on male employees from the U.K. Family Expenditure Survey for the years 1968-86 to investigate the behavior of wages over time and across cohorts. We find that differentials between manual workers and professional managerial ones are lower at labor market entry for younger cohorts but increasing faster with age in the 1980s than in the past. The returns to experience appear to be very low in the United Kingdom, particularly for manual and clerical workers, although the improved education of younger workers may partly explain this. Finally we show that individual wages in the United Kingdom are highly procyclical.

In recent years several models have been developed in an attempt to explain countercyclical movements of job turnover, the sum of gross job creation and destruction rates. However, only in the United States is a negative and statistically significant correlation between job turnover and employment growth actually observed. In the other countries studied, job turnover is either acyclical or mildly procyclical. Rather than being associated with the greater flexibility of the United States compared with the Western European labor markets, these asymmetries in the cyclical behavior of gross job flows can be attributed to statistical artifacts, namely, with the fact that U.S. job turnover statistics underrepresent the small business sector and with regression to the mean effects.

A major issue in the analysis of unemployment durations concerns distinguishing genuine duration dependence of the exit rate out of unemployment from unobserved heterogeneity. We present a method for the nonparametric estimation of both phenomena, designed to be applicable to time-series data on aggregate outflows from different duration classes. The model explicitly takes into account that individual exit rates are affected by the business cycle and by seasonal effects. The method is applied to U.S. data. We find diverging duration effects among black and white individuals. However, except for white males, duration dependence is dominated by unobserved heterogeneity.

The analysis of economic phenomena at the wholistic (aggregative) level 11l8intains a long tradition that assumes the neoclassical production function Q-f(K,L) (i.e., output as a function of capital and labor) satisfies the condition of constant returns to scale.The assumed absence of any (dis-)economies of scale renders the production function useless, when the scale effect is as pronounced as is typically found at the less aggregative levels of individual firm or industry analvsis.. .The purpose of this paper is to deduce new classes of production functions that are not limited to the constant returns to scale characteristic.Hore specifically, the scale effect is described by an arbitrary function of one of the factors of production, capital in this paper.This class of production functions exhibi-ts scale sensitivity with respect to capital (SSWK).The paper shows how different fmidlies of production functions can be derived from two basic .. building blocks," a :wage share function and a scale functitm.The Cobb-])ouglas, CES and VES production fmu:tions are special cases.~e Cobb-Douglas and CES functions can be expanded to incorporate non-constant returns to scale.A smnple of firms from Taiwan is used to test among various derived functional specifications.An interesting diversity of preferred specifications was found among three industries.

This paper provides empirical evidence on macroeconomic complementarities, a restriction on the nature of interaction between individuals in a multi-agent setting. These models imply that activities across agents will be positively correlated, that discrete decisions will be synchronized and that disturbances will be magnified and propagated. The paper shows that these implications are consistent with aggregate observations as well as some microeconomic evidence. Further, looking at certain historical episodes, such as the NIRA, as well as seasonal fluctuations provides additional support for models with macroeconomic complementarities.

Cette étude s'intéresse au comportement des séries du taux d'intérêt réel américain de 1961 à 1986. En utilisant la méthodologie d'Hamilton (1989), la modélisation statistique des séries se fait en postulant trois régimes possibles affectant la moyenne et la variance de celles-ci. Les résultats suggèrent que le taux d'intérêt réel ex-post est essentiellement un processus non corrélé et centré sur une moyenne qui diffère sur les périodes 1961-1973, 1973-1980 et 1980-1986. La variance du processus est aussi différente pour chacune de ces périodes, étant plus élevée dans les sous périodes 1973-1980 et 1980-1986. Les séries du taux d'inflation sont aussi analysées à la lumière de ce modèle à trois régimes et les résultats traduisent encore un comportement intéressant de celles-ci, avec des changements dans la moyenne et la variance. Différents tests de spécification sont utilisés et des séries, à la fois du taux d'intérêt réel ex-ante et de l'inflation anticipée, sont construites. Enfin, il est montré comment ces résultats peuvent expliquer certaines conclusion récentes de la littérature.

This paper develops and estimates a cost model for U.S. hospitals, analyzing the cost of excess bed capacity. A new estimate is worth making for at least two reasons. Recent changes in the economic environment of hospitals have caused their utilization rates to fall sharply, making previous estimates inaccurate. Second, we employ econometric techniques not previously applied to this problem, with estimation based on all short-term community hospitals from 1979-89. Our results, based on conservative estimates of the average optimal occupancy rate, indicate an annual cost of excess bed capacity of $17.2 billion in 1989, $24.1 billion in 1991, and over $25 billion in 1993.

This paper seeks to develop a structural model that lets data on asset returns and trading volume speak to whether volatility autocorrelation comes from the fundamental that the trading process is pricing or, is caused by the trading process itself. Returns and volume data argue, in the context of our model, that persistent volatility is caused by traders experimenting with different beliefs based upon past profit experience and their estimates of future profit experience. A major theme of our paper is to introduce adaptive agents in the spirit of Sargent (1993) but have them adapt their strategies on a time scale that is slower than the time scale on which the trading process takes place. This will lead to positive autocorrelation in volatility and volume on the time scale of the trading process which generates returns and volume data. Positive autocorrelation of volatility and volume is caused by persistence of strategy patterns that are associated with high volatility and high volume. Thee following features seen in the data: (i) The autocorrelation function of a measure of volatility such as squared returns or absolute value of returns is positive with a slowly decaying tail. (ii) The autocorrelation function of a measure of trading activity such as volume or turnover is positive with a slowly decaying tail. (iii) The cross correlation function of a measure of volatility such as squared returns is about zero for squared returns with past and future volumes and is positive for squared returns with current volumes. (iv) Abrupt changes in prices and returns occur which are hard to attach to 'news.' The last feature is obtained by a version of the model where the Law of Large Numbers fails in the large economy limit.

In the first half of this century, special attention was given to two features of the business cycle: the comovement of many individual economic series and the different behavior of the economy during expansions and contractions. Recent theoretical and empirical research has revived interest in each attribute separately, and we survey this work. Notable empirical contributions are dynamic factor models that have a single common macroeconomic factor and nonlinear regime-switching models of a macroeconomic aggregate. We conduct an empirical synthesis that incorporates both of these features. It is desirable to know the facts before attempting to explain them; hence, the attractiveness of organizing business-cycle regularities within a model-free framework. During the first half of this century, much research was devoted to obtaining just such an empirical characterization of the business cycle. The most prominent example of this work

The paper examines entry, exit and the survival of firms in terms of evolutionary changes in the marker from the first introduction of a product to maturity of the market. It is shown that both entry and exit rates depend systematically on the stage of development of the market in the cycle from birth to maturity. Survival rates depend both on stage of development and on individual firm attributes. The empirical work is carried out with data for 25 new products. A complete inventory of entering, exiting and surviving firms from the birth of a new product to its maturity was developed.