In Qeios, online open access journal with signed reviews, 5/28/2025.
https://www.qeios.com/read/MW5WXQ
With William E. Watkins
Economists conventionally attribute inequality in employee compensation to differences in the marginal productivities of workers. However, it is possible that inequality arises from an entirely different source – the network structure of the organizations to which the employees belong....
Ecological Economics 201 (November 2022)
(with Charles F. Manski and Alan H. Sanstad)
https://authors.elsevier.com/sd/article/S0921-8009(22)00214-2
Abstract
Integrated assessment models have become the primary tools for comparing climate policies aimed at reducing greenhouse gas emissions. Such policies have often been identified by considering a planner who seeks to make optimal trade-offs between the...
SN Business and Economics (2022) 2:92
https://doi.org/10.1007/s43546-022-00260-z
Abstract
The “efficiency-distribution” model introduced by Houthakker in 1955 offers a flexible approach to production theory that does not require the measurement of capital and other fixed assets. Thus it avoids the theoretical problems associated with the Cambridge controversies and with Franklin Fisher’s critiques of aggregation. The efficiency distribution model can be empirically implemented using only observed productivity distributions and...
(with Charles F. Manski and Alan H. Sanstad)
US CLIVAR VARIATIONS, Vol. 20, No....
“Behind the scenes solving ODEs of a model of optimal climate policy,” (with Alan Sanstad and Charles Manski), blog post in the Wolfram Community:
https://community.wolfram.com/groups/-/m/t/2255854...
Proceedings of the National Academy of Sciences, Vol. 118, No. 15 (2021). https://www.pnas.org/content/118/15/e2022886118.
Co-authors: Charles F. Manski, Alan H. Sanstad, and Stephen J. DeCanio
Abstract
Numerical simulations of the global climate system provide inputs to integrated assessment modeling for estimating the impacts of greenhouse gas mitigation and other policies to address global climate change. While essential tools for this purpose, computational climate models are subject to...
Abstract
Alan Turing’s 1950 paper, “Computing Machinery and Intelligence,” contains much more than its proposal of the “Turing Test.” Turing imagined the development of what we today call AI by a process akin to the education of a child. Thus, while Turing anticipated “machine learning,” his prescience brings to the foreground the yet unsolved problem of how humans might teach or shape AIs to behave in ways that align...
https://doi.org/10.1007/s00146-018-0851-7
Abstract
Can an Artificial Intelligence make distinctions among major works of politics, philosophy, and fiction without human assistance? In this paper, Latent Semantic Analysis (LSA) is used to find patterns in a relatively small sample of notable works archived by Project Gutenberg. It is shown that an LSA-equipped AI can distinguish quite sharply between fiction and non-fiction works, and can detect some differences between political philosophy...
Abstract
The effect of the spread of Artificial Intelligence (AI) on wages depends on both the form of aggregate production relationships and the elasticity of substitution between human and robotic labor. With a conventional production function involving labor, robots, and ordinary capital, an increase in robotic labor can have either a positive or a negative effect on wages. Alternatively, it is possible to estimate the aggregate production relationship without measuring...
Abstract
Alexander Wendt’s Quantum Mind and Social Science is an effort to establish foundations of social science based on the ontology of modern physics. The quantum revolution has deservedly had repercussions in many sciences, but it is unwise to ground social science on physical theories, which are subject to constant revision. Additionally, despite its empirical success, there is no agreed-upon interpretation of quantum theory. Finally, even if there were,...