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Price: EUR 125.00The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics.
The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.
Authors: Woodward, Douglas P. | Renfro, Charles G. | Cabral, Ricardo | Cabral, Dolores
Article Type: Research Article
Abstract: This paper introduces a special issue of the Journal of Economic and Social Measurement on U.S. Regional Economic Indicator Models. It describes recent research on such models, both specifically and in the context of general research on economic indicators, and …provides some references. The six papers of this special issue represent a selection from the papers presented at a conference held in Braga, Portugal at the Universidad do Minho 7--10 June 1998, a purpose of which was to bring together scholars from Europe, North America, and South America to consider issues in the construction of indicator models. Show more
DOI: 10.3233/JEM-1999-0171
Citation: Journal of Economic and Social Measurement, vol. 25, no. 3-4, pp. 111-117, 1999
Authors: Boldin, Michael D.
Article Type: Research Article
Abstract: The leading index receives attention because this summary statistic of a particular set of popular economic indicators is touted as a forward-looking and objective measure of economic activity. A review of its history and methodology, however, leaves much to be …desired. It is well known that changes in the components have been responsible for substantial revisions in the leading index. Less known is the role of the methodology in these changes. This article critiques the methodology in this light and considers whether a consistent shying away from modern econometrics has produced excessive revisions in the leading index. The conclusion that the traditional composite index approach has serious, but correctable flaws should be of interest to those that want to improve the leading index or build similar economic statistics for subsectors of the US economy, US regions, or other countries. Show more
DOI: 10.3233/JEM-1999-0170
Citation: Journal of Economic and Social Measurement, vol. 25, no. 3-4, pp. 119-140, 1999
Authors: Phillips, Keith R.
Article Type: Research Article
Abstract: I compare the real-time recession predicting performance of the Conference Board Leading Index, the Stock and Watson Leading Index, and the yield curve in the period since 1988. I first calculate the real-time probability of recession for the yield curve …and Conference Board Leading Index using a simple non-linear regime-switching model. I then compare these estimates to the probability of recession published by Stock and Watson. The Conference Board Leading Index gave the strongest signal of recession in the six months prior to the 1990--1991 recession and gave no false signals in the 1990s. The Stock and Watson Leading Index failed to give recession signals in the first half of 1990 and the yield curve may have given a false signal in early 1999. The results show that the traditional leading index is still a useful tool for monitoring the ebb and flow of regional and national economies. Show more
DOI: 10.3233/JEM-1999-0169
Citation: Journal of Economic and Social Measurement, vol. 25, no. 3-4, pp. 141-162, 1999
Authors: Guha, Debashis | Banerji, Anirvan
Article Type: Research Article
Abstract: This paper presents a method for testing whether business cycle expansions and contractions at different levels of aggregation, such as regional and national cycles, occur at the same time. The procedure is to fit markov-switching models to the time-series and …then apply a bootstrap test of equality to the residuals. Applied to US employment data, the test shows significant differences between fluctuations in US national employment and those in some US states. Application to European data reveals significant differences between employment fluctuations at the aggregate EMU level and those in Germany and France. Show more
DOI: 10.3233/JEM-1999-0168
Citation: Journal of Economic and Social Measurement, vol. 25, no. 3-4, pp. 163-182, 1999
Authors: Clayton-Matthews, Alan | Stock, James H.
Article Type: Research Article
Abstract: The Stock/Watson index methodology is applied to the Massachusetts economy to estimate coincident and leading indexes for the state. A coincident index, calibrated to trend with gross state product, is estimated as a dynamic single factor, multiple indicator model, using …the Kalman filter and smoother on a set of coincident indicators. The leading index is a six-month ahead forecast of the coincident index, based on a regression on recent growth in the coincident index and a set of leading indicators. Filtering of noisy data and model selection in the context of a short historical span of data are two issues common to index construction at the state and regional levels that the authors address. Show more
Keywords: coincident index, leading index, Kalman filter, dynamic single factor model, predictive least squares, Stock/Watson model
DOI: 10.3233/JEM-1999-0172
Citation: Journal of Economic and Social Measurement, vol. 25, no. 3-4, pp. 183-233, 1999
Authors: Chauvet, Marcelle
Article Type: Research Article
Abstract: This paper explores the dynamic relationship between stock market fluctuations and the business cycle. Presumably, stock market movements reflect positions taken by market participants based on their assessment about the current state of the economy. Given the forward-looking behavior of …stock market investors, this paper explores the possibility of predicting business cycle turning points using promptly available financial variables. Stock market fluctuations and business cycles are represented by nonlinear dynamic factors at the monthly frequency. The proposed model generates predictions of business cycle turning points using the business cycle factor, and anticipation of these predicted turns using the stock market factor. The findings indicate that the extracted stock market factor is a leading indicator of the state of the business cycle and can be used to anticipate turning points in real time. Show more
Keywords: business cycle, stock market, dynamic factor, Markov switching
DOI: 10.3233/JEM-1999-0166
Citation: Journal of Economic and Social Measurement, vol. 25, no. 3-4, pp. 235-257, 1999
Authors: Crone, Theodore M.
Article Type: Research Article
Abstract: When studying the interaction of multi-state regions in the US, regional economists typically use the regional divisions developed by the Bureau of Economic Analysis (BEA). The BEA's grouping of the 50 states into eight regions is based primarily on cross-sectional …similarities in the states' socioeconomic characteristics. Since many economic studies of regions concentrate on similarities and differences in regional business cycles, it is also appropriate to group states into regions based on some common cyclical behavior. This paper groups states into regions based on common movements in state indexes of economic activity. Comparable indexes are estimated for the 48 contiguous states, and cluster analysis is applied to the monthly changes in these indexes to group the states into regions with similar business cycles.The cluster analysis identifies six distinct regions consisting of contiguous states with similar monthly changes in their economic activity indexes. These regions differ in varying degrees from the commonly used BEA regions. Show more
DOI: 10.3233/JEM-1999-0164
Citation: Journal of Economic and Social Measurement, vol. 25, no. 3-4, pp. 259-275, 1999
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