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Beaulieu, J. Joseph

Works: 7 works in 39 publications in 1 language and 257 library holdings
Classifications: HB1,
Publication Timeline
Publications about J. Joseph Beaulieu
Publications by J. Joseph Beaulieu
Most widely held works by J. Joseph Beaulieu
What have macroeconomists learned about business cycles from the study of seasonal cycles? by Jeffrey A Miron( Book )
8 editions published in 1995 in English and held by 76 libraries worldwide
This paper argues that analysis of seasonal fluctuations can shed light on the nature of business cycle fluctuations. The fundamental reason is that in many instances identifying restrictions about seasonal fluctuations are more believable than analogous restrictions about non-seasonal fluctuations. We show that seasonal fluctuations provide good examples of preference shifts and synergistic equilibria. We also find evidence against production smoothing and in favor of unmeasured variation in labor and capital utilization. In some industries capacity constraints appear to bind
A cross country comparison of seasonal cycles and business cycles by J. Joseph Beaulieu( Book )
6 editions published between 1990 and 1992 in English and held by 48 libraries worldwide
In a recent paper Barsky and Miron (1989) examine the seasonal fluctuations in the U.S. economy. They show that the key stylized facts about the business cycle characterize the seasonal cycle as well, and they suggest that the interpretation of many of these stylized facts over the seasonal cycle is easier than interpretation over the business cycle. The reason is that the ultimate sources of seasonal cycles are more readily identifiable than those of business cycles. This paper uses the cross country variation in seasonal patterns to pin down the ultimate sources of seasonal variation more precisely than is possible from examination of U.S. data alone. We conclude that a Christmas shift in preferences and synergies across agents are the key determinants of the seasonal patterns around the world. The paper also establishes that, across developed countries, the key observations about aggregate variables that characterize the business cycle also characterize the seasonal cycle. Thus, the similarity of the seasonal cycle and the business cycle demonstrated by Barsky and Miron (1989) for the united states is a robust stylized fact
Why do countries and industries with large seasonal cycles also have large business cycles? by J. Joseph Beaulieu( Book )
4 editions published between 1991 and 1992 in English and held by 44 libraries worldwide
We show there is a strong, positive correlation across countries and industries between the standard deviation of the seasonal component and the standard deviation of the non-seasonal component of aggregate variables such as output, labor input, interest rates, and prices. After documenting this stylized fact, we discuss possible explanations and develop a model that generates our empirical finding. The main feature of the model is that firms endogenously choose their degree of technological flexibility as a function of the amounts of seasonal and non-seasonal variation in demand. Although this model is intended to be illustrative, we find evidence supporting one of its key empirical implications
Seasonal unit roots in aggregate U.S. data by J. Joseph Beaulieu( file )
4 editions published in 1992 in English and held by 32 libraries worldwide
In this paper we provide evidence on the presence of seasonal unit roots in aggregate U.S. data. The analysis is conducted using the approach developed by Hyllebcrg, Engle, Granger and Yoo (1990). We first derive the mechanics and asyrnptotics of the HEGY procedure for monthly data and use Monte Carlo methods to compute the finite sample critical values of the associated test statistics. We then apply quarterly and monthly HEGY procedures to aggregate U.S. data. The data reject the presence of unit roots at most seasonal frequencies in a large fraction of the series considered
The seasonal cycle in U.S. manufacturing by J. Joseph Beaulieu( file )
4 editions published in 1990 in English and held by 20 libraries worldwide
This paper examines the seasonal cycle in the manufacturing sector of the U.S. economy. we present estimates of the seasonal patterns in monthly data for 2-digit industries, and we demonstrate the similarity of the seasonal cycle and the business cycle in manufacturing with respect to several key stylized facts about business cycles. The results are an important addition to those in Barsky and Miron (1989) because the monthly data for manufacturing display interesting seasonal fluctuations that are hidden in the quarterly data examined by Barsky and Miron. The most significant is a sharp slowdown in July followed by a significant rebound in August. We argue that this event is not easily explained by technology or preference shifts but instead results from synergies across economic agents
A consistent accounting of U.S. productivity growth by Eric J Bartelsman( Book )
6 editions published in 2004 in English and held by 19 libraries worldwide
"This paper is an exploration in the relative performance and sources of productivity growth of U.S. private businesses across industries and legal structure. In order to assemble the disparate data from various sources to develop a coherent productivity database, we developed a general system to manage data. The paper describes this system and then applies it by building such a database. The paper presents updated estimates of gross output, intermediate input use, and value added using the BEA's GPO data set. It supplements these data with estimates of missing data on intermediate input use and prices for the 1977-1986 period, and it concords these data, which are organized on a 1972 SIC basis, to the 1987 SIC in order to have consistent time series covering the last twenty-four years. It further refines these data by disaggregating them by legal form of organization. The paper also presents estimates of labor hours, labor quality, investment, capital services and, consequently, multifactor productivity disaggregated by industry and legal form of organization, and it analyzes the contribution of various industries and business organizations to aggregate productivity. The paper also reconsiders these estimates in light of the surge in spending in advance of the century-date change"--Federal Reserve Board web site
Integrating expenditure and income data : what to do with the statistical discrepancy? by J. Joseph Beaulieu( Book )
7 editions published in 2004 in English and held by 18 libraries worldwide
"The purpose of this paper is to build consistent, integrated datasets to investigate whether various disaggregated data can shed light on the possible sources of the statistical discrepancy. Our strategy is first to use disaggregated data to estimate consistent sets of input-output models that sum to either GDP or GDI and compare the two in order to see where the discrepancy resides. We find a few "problem" industries that appear to explain most of the statistical discrepancy. Second, we explore what combination of the expenditure data and the income data seem to produce the most sensible data according to a few economic criteria. A mixture of data that do not aggregate either to GDP or to GDI appears optimal"--Abstract
Alternative Names
Beaulieu, Joe
English (39)
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