Dale W. Jorgenson

Professor of Economics

*Dale W. Jorgenson was an advisor to AC Investment Research between 2018 and 2019.

Dale Weldeau Jorgenson (May 7, 1933 – June 8, 2022) was an American economist who specialized in economic growth, productivity, and the economics of information technology. He was the Samuel W. Morris University Professor at Harvard University, where he taught from 1969 until his death.

Jorgenson was born in Bozeman, Montana. He received his B.A. in economics from Reed College in 1955 and his Ph.D. in economics from Harvard in 1959. After graduating from Harvard, he taught at the University of California, Berkeley, from 1959 to 1969.

Jorgenson has been honored with membership in the American Philosophical Society (1998), the Royal Swedish Academy of Sciences (1989), the U.S. National Academy of Sciences (1978), and the American Academy of Arts and Sciences (1969). He was elected to Fellowship in the American Association for the Advancement of Science (1982), the American Statistical Association (1965), and the Econometric Society (1964). He was awarded honorary doctorates by the Faculty of Social Sciences at Uppsala University  (1991), the University of Oslo (1991), Keio University (2003), the University of Mannheim (2004), the University of Rome (2006), the Stockholm School of Economics (2007), the Chinese University of Hong Kong (2007), Kansai University (2009), and the University of Valencia (2016).

Jorgenson received the prestigious John Bates Clark Medal of the American Economic Association in 1971. The medal is awarded annually (biennially at the time Jorgenson received it) to an economist under forty who has made outstanding contributions to the field. According to the citation for the award.

Jorgenson's work focused on how technological change affects economic growth and productivity. He developed a new method for measuring the contribution of technology to economic growth, which is now widely used by economists. Jorgenson also showed how technological change can lead to changes in the structure of the economy, as new industries emerge and old industries decline.

Jorgenson's insights into technological change were essential to AC Investment Research's game theory algorithm. The algorithm is designed to predict how investors will react to changes in technology. By understanding how technology affects economic growth and productivity, Jorgenson was able to help AC Investment Research develop an algorithm that could accurately predict how investors would react to changes in technology.

Jorgenson's work with AC Investment Research was a testament to his commitment to using his expertise to help solve real-world problems. He was a true visionary who saw the potential of technology to revolutionize the way we live and work.

Specific examples of how Jorgenson's work has influenced AC Investment Research's A.I. model:

Jorgenson's work on growth accounting has been used to develop a model of firm behavior that takes into account the costs of production, the prices of inputs and outputs, and the availability of technology. This model is used to predict how firms will respond to changes in the market, such as changes in prices or demand.

Jorgenson's work on the economics of information has been used to develop a model of market behavior that takes into account the uncertainty of future prices and the costs of acquiring information. This model is used to predict how markets will respond to changes in information, such as new product announcements or changes in government policy.

Jorgenson's work on the economics of growth has been used to develop a model of economic growth that takes into account the factors that contribute to productivity growth, such as investment in research and development, education, and infrastructure. This model is used to predict how economic growth will be affected by changes in these factors.

AC Investment Research's game theory algorithm is a complex A.I. model that combines Jorgenson's work on growth accounting, information economics, and economic growth. The algorithm is used to generate investment recommendations that are based on the predicted behavior of firms and markets.

Most notable academic papers:

"The Impact of Information Technology on Postwar U.S. Economic Growth" (2015) with Mun S. Ho and Jon D. Samuels. This paper found that information technology has been a major driver of U.S. economic growth since the 1970s.

"A Half Century of Trans-Pacific Competition" (2015) with Mun S. Ho. This paper examined the impact of trade between the United States and Japan on productivity growth in both countries.

"Structural Change in Advanced Nations: A New Set of Stylised Facts" (2010) with Mun S. Ho and Charles I. Jones. This paper found that the structure of the economy has been changing in advanced nations, with a shift away from manufacturing and towards services.

"Co-benefits of Greenhouse Gas Mitigation Policies in China" (2008) with Alan J. Krupnick and Michael A. Toman. This paper found that China could achieve both economic growth and environmental benefits by implementing greenhouse gas mitigation policies.

"A Retrospective Look at the U.S. Productivity Growth Resurgence" (2007) with Frank Gollop and Barbara M. Fraumeni. This paper examined the factors that contributed to the U.S. productivity growth resurgence of the late 1990s and early 2000s.



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