74 books match the query 'Mathematical models' and 15 start with a
Charles L. Ballard, Don Fullerton, John B. Shoven, and John Whalley
University of Chicago Press, 1985
This book reports the authors' research on one of the most sophisticated general equilibrium models designed for tax policy analysis. Significantly disaggregated and incorporating the complete array of federal, state, and local taxes, the model represents the U.S. economy and tax system in a large computer package. The authors consider modifications of the tax system, including those being raised in current policy debates, such as consumption-based taxes and integration of the corporate and personal income tax systems. A counterfactual economy associated with each of these alternatives is generated, and the possible outcomes are compared.
Edited by Dale W. Jorgenson, J. Steven Landefeld, and William D. Nordhaus
University of Chicago Press, 2006

Jos Arrillaga
The Institution of Engineering and Technology, 1998

Tullio Rozzi
The Institution of Engineering and Technology, 1999
Kalervo N. Gulson
University of Minnesota Press, 2022
A critique of what lies behind the use of data in contemporary education policy
While the science fiction tales of artificial intelligence eclipsing humanity are still very much fantasies, in Algorithms of Education the authors tell real stories of how algorithms and machines are transforming education governance, providing a fascinating discussion and critique of data and its role in education policy.
Algorithms of Education explores how, for policy makers, today’s ever-growing amount of data creates the illusion of greater control over the educational futures of students and the work of school leaders and teachers. In fact, the increased datafication of education, the authors argue, offers less and less control, as algorithms and artificial intelligence further abstract the educational experience and distance policy makers from teaching and learning. Focusing on the changing conditions for education policy and governance, Algorithms of Education proposes that schools and governments are increasingly turning to “synthetic governance”—a governance where what is human and machine becomes less clear—as a strategy for optimizing education.
Exploring case studies of data infrastructures, facial recognition, and the growing use of data science in education, Algorithms of Education draws on a wide variety of fields—from critical theory and media studies to science and technology studies and education policy studies—mapping the political and methodological directions for engaging with datafication and artificial intelligence in education governance. According to the authors, we must go beyond the debates that separate humans and machines in order to develop new strategies for, and a new politics of, education.
Simon Hug
University of Michigan Press, 2001

B.D. Popović
The Institution of Engineering and Technology, 1994
Hal Whitehead
University of Chicago Press, 2008

Jean Mercenier and T. N. Srinivasan, Editors
University of Michigan Press, 1994

T.B.A. Senior
The Institution of Engineering and Technology, 1995
David G. Anderson and Steven D. Smith
University of Alabama Press, 2003
Alan Blinder
Russell Sage Foundation, 1998
Edited by R. Glenn Hubbard
University of Chicago Press, 1990
In this volume, specialists from traditionally separate areas in economics and finance investigate issues at the conjunction of their fields. They argue that financial decisions of the firm can affect real economic activity—and this is true for enough firms and consumers to have significant aggregate economic effects. They demonstrate that important differences—asymmetries—in access to information between "borrowers" and "lenders" ("insiders" and "outsiders") in financial transactions affect investment decisions of firms and the organization of financial markets. The original research emphasizes the role of information problems in explaining empirically important links between internal finance and investment, as well as their role in accounting for observed variations in mechanisms for corporate control.
F. Molinet
The Institution of Engineering and Technology, 2005
John T. Hale
CSLI, 2014