Industry | Economic forecasting and consulting |
---|---|
Founded | 1969 |
Headquarters | Philadelphia, Pennsylvania, United States |
Key people | Lawrence R. Klein, Michael D. McCarthy |
Wharton Econometric Forecasting Associates, Inc (WEFA Inc) was an economics forecasting and consulting organization founded by Nobel Prize winner Lawrence Klein. [1]
WEFA Inc was a spinoff of the Wharton School of the University of Pennsylvania, where Klein taught. WEFA Inc traced an interesting path (see below for full details) from its predecessor in 1961 (the Economic Research Unit, discussed below), its initial launch in 1969 (as Wharton Econometric Forecasting Associates Inc), to its ultimate merger with DRI (formerly Data Resources Inc.) forming Global Insight in 2001, and subsequent to that, Global Insight's acquisition in 2008 by IHS Inc.
Incorporated in 1969 by the Trustees of the University of Pennsylvania as a "not for profit" organization, WEFA Inc was an outgrowth of the Economics Research Unit (ERU) located in the economics department of the University of Pennsylvania. The ERU, a research unit devoted to graduate economics education, was originally sponsored in 1961 by grants from five US corporations including, IBM, Bethlehem Steel, John Deere, Exxon and Sunoco.
Among other things, the ERU was originally charged with the maintenance and use of the Wharton Quarterly Model [WQM] and the Wharton Index of Capacity Utilization. Between 1961 and 1969 the number of sponsors increased to the point where a more efficient organization was needed [WEFA Inc] to manage the many projects that grew out of the operation of the Wharton Quarterly Model.
In June 1969, when WEFA Inc was incorporated, Lawrence R. Klein was appointed board chairman, Michael D. McCarthy was appointed executive director, and the then Director of the ERU, F. G. Adams, was appointed secretary-treasurer. Other members of the Board were: The Dean of the Wharton School of Finance and Commerce at the University of Pennsylvania, ex officio, The Chairman of the Department of Economics of the University of Pennsylvania, ex officio, Paul F. Miller, (Board of Trustees of the University of Pennsylvania), Michael K. Evans (University of Pennsylvania, economics department), Paul Taubman (University of Pennsylvania, economics department), and Richard J. Kruizenga,(Chief Economist and Manager, Corporate and Environmental Economics, Standard Oil Co. of New Jersey).
Michael D. McCarthy served as executive director from June 1969 to December 1970. After joining WEFA Inc as Director of Industrial Research in August 1969, Ross S. Preston was appointed a board member and executive director of WEFA Inc in December 1970.
Preston served as executive director until the spring of 1975, at which time he was appointed secretary-treasurer of WEFA Inc. During Preston's tenure as executive director, WEFA Inc not only expanded its sponsorship of the Wharton Quarterly Model [WQM], but also developed the Wharton Annual and Industry Forecasting Model [WAIFM] which integrated input-output theory within the structure of a macro-econometric model. The predecessor of WAIFM was the Brookings Quarterly Model, originally funded by the Social Science Research Council.
The LINK project (also housed at WEFA Inc), which produced the world's first global macroeconomic model, was mentioned in Klein's citation for the Nobel Memorial Prize in Economic Sciences in 1980.
The various organization which acquired the rights to distribute WQM and WAIFM include:
The Wharton School of the University of Pennsylvania is the business school of the University of Pennsylvania, a private Ivy League research university in Philadelphia. It is the world's oldest collegiate business school, established in 1881 through a donation from Joseph Wharton.
Lawrence Robert Klein was an American economist. For his work in creating computer models to forecast economic trends in the field of econometrics in the Department of Economics at the University of Pennsylvania, he was awarded the Nobel Memorial Prize in Economic Sciences in 1980 specifically "for the creation of econometric models and their application to the analysis of economic fluctuations and economic policies." Due to his efforts, such models have become widespread among economists. Harvard University professor Martin Feldstein told the Wall Street Journal that Klein "was the first to create the statistical models that embodied Keynesian economics," tools still used by the Federal Reserve Bank and other central banks.
Data Resources Inc or DRI was co-founded in 1969 by Donald Marron and Otto Eckstein. Marron is best known as the former CEO of PaineWebber and founder of Lightyear Capital. Eckstein was a Harvard University economics professor, economic consultant to Lyndon Baines Johnson and member of the Council of Economic Advisors; he is best known for the development of the theory of core inflation.
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Otto Eckstein was a German-American economist. He was a key developer and proponent of the theory of core inflation, which proposed that in determining accurate metrics of long run inflation, the transitory price changes of items subject to volatile pricing, such as food and energy, are to be excluded from computation.
DRI or D.R.I. may stand for:
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AREMOS is a data management and econometrics software package released by Global Insight. It was most popular in the late 1980s and 1990s, when it was used by leading economists. Developed as a DOS application by Wharton Econometric Forecasting Associates – WEFA now IHS Markit, it has gone through many iterations. Thomsons' Datastream macroeconomic databases which were accessible with AREMOS, were a key selling point.
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Following the development of Keynesian economics, applied economics began developing forecasting models based on economic data including national income and product accounting data. In contrast with typical textbook models, these large-scale macroeconometric models used large amounts of data and based forecasts on past correlations instead of theoretical relations. These models estimated the relations between different macroeconomic variables using regression analysis on time series data. These models grew to include hundreds or thousands of equations describing the evolution of hundreds or thousands of prices and quantities over time, making computers essential for their solution. While the choice of which variables to include in each equation was partly guided by economic theory, variable inclusion was mostly determined on purely empirical grounds. Large-scale macroeconometric model consists of systems of dynamic equations of the economy with the estimation of parameters using time-series data on a quarterly to yearly basis.
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