Examining the increasingly powerful role of standards in the governing of economic, political and social life, this book draws upon governmentality and actor network theory to explore how standards and standardizing projects are articulated and rendered workable in practice, and the objects, subjects and forms of identity to which this gives rise.
A calculation of the social returns to innovation /Benjamin F. Jones and Lawrence H. Summers --Innovation and human capital policy /John Van Reenen --Immigration policy levers for US innovation and start-ups /Sari Pekkala Kerr and William R. Kerr --Scientific grant funding /Pierre Azoulay and Danielle Li --Tax policy for innovation /Bronwyn H. Hall --Taxation and innovation: what do we know? /Ufuk Akcigit and Stefanie Stantcheva --Government incentives for entrepreneurship /Josh Lerner.
Social cost estimates are potentially a valuable source of informing policy makers on the impact of prevention, treatment and law enforcement strategies. However, estimating the social costs of illegal drug use poses a methodological challenge, given the difficulty of quantifying the link between drugs and their negative consequences and in assigning a monetary value to items that do not have market value. This study presents methodological guidance on developing indicators to calculate the social cost of drug abuse, mainly through a "cost-of-illness" approach. The document also contains two case studies of research projects in France that have applied a social-cost analysis to the use of alcohol and tobacco, and to illicit drugs.
In Calculating Race, Benjamin Wiggins analyzes the historical relationship between statistical risk assessment and race in the United States. He illustrates how, through a reliance on the variable of race, actuarial science transformed the nature of racism and helped usher racial disparities in wealth, incarceration, and housing from the nineteenth century into the twentieth. Wiggins begins by tracing how the life insurance industry utilized race in its calculations at the end of the nineteenth century, focusing particularly on Prudential and its aggressive battles with state regulators to discriminate against clients and adjust rates on the basis of race. He then turns his focus to the collection of racial statistics in the Illinois state penitentiary system in the late nineteenth century and the state's subsequent development of predictive sentencing and parole formulas in the 1920s that weighed race as a key factor. Next, he investigates the role of race in the state-sponsored mortgage insurance program of the Federal Housing Administration between the start of the New Deal and the beginning of the Cold War and its prolonged effects on mortgage lending. Wiggins concludes with an analysis of the use of race in the statistical risk assessments across financial institutions and government programs during the post-civil rights movement era, and how that practice has been transformed in the twenty-first century through "proxy" variables which stand in for the now taboo category of race. Offering readers a new perspective on the historical importance of actuarial science in structural racism, Calculating Race is a particularly timely contribution as Big Data and algorithmic decision making increasingly pervade our lives.
The social cost of carbon (SC-CO2) is an economic metric intended to provide a comprehensive estimate of the net damages - that is, the monetized value of the net impacts, both negative and positive - from the global climate change that results from a small (1-metric ton) increase in carbon-dioxide (CO2) emissions. Under Executive Orders regarding regulatory impact analysis and as required by a court ruling, the U.S. government has since 2008 used estimates of the SC-CO2 in federal rulemakings to value the costs and benefits associated with changes in CO2 emissions. In 2010, the Interagency Working Group on the Social Cost of Greenhouse Gases (IWG) developed a methodology for estimating the SC-CO2 across a range of assumptions about future socioeconomic and physical earth systems. Valuing Climate Changes examines potential approaches, along with their relative merits and challenges, for a comprehensive update to the current methodology. This publication also recommends near- and longer-term research priorities to ensure that the SC- CO2 estimates reflect the best available science.
This new work on energy and environmental modeling describes a broad variety of modeling methodologies, embodied in models of varying scopes and philosophies. Examples range from top-down integrated assessment models to bottom-up partial equilibrium models, to hybrid models.
This textbook connects three vibrant areas at the interface between economics and computer science: algorithmic game theory, computational social choice, and fair division. It thus offers an interdisciplinary treatment of collective decision making from an economic and computational perspective. Part I introduces to algorithmic game theory, focusing on both noncooperative and cooperative game theory. Part II introduces to computational social choice, focusing on both preference aggregation (voting) and judgment aggregation. Part III introduces to fair division, focusing on the division of both a single divisible resource ("cake-cutting") and multiple indivisible and unshareable resources ("multiagent resource allocation"). In all these parts, much weight is given to the algorithmic and complexity-theoretic aspects of problems arising in these areas, and the interconnections between the three parts are of central interest.
Modern political culture features a deep-seated faith in the power of numbers. But quantitative evidence has not always been revered, as William Deringer shows. After the 1688 Revolution, as Britons learned to fight by the numbers, their enthusiasm for figures arose not from efforts to find objective truths but from the turmoil of politics itself.
This book constitutes the proceedings of the 6th International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction, SBP 2013, held in Washington, DC, USA in April 2013. The total of 57 contributions, which consists of papers and posters, included in this volume was carefully reviewed and selected from 137 submissions. This conference is strongly committed to multidisciplinarity, consistent with recent trends in computational social science and related fields. The topics covered are: behavioral science, health sciences, military science and information science. There are also many papers that provide methodological innovation as well as new domain-specific findings.