Browsing HKS Faculty Scholarship by Title
Now showing items 1-20 of 761
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$100 Bills on the Sidewalk: Violations of No-Arbitrage in 401(k) Accounts
(MIT Press, 2011)We identify employees at seven companies whose 401(k) investment choices are dominated because they are contributing less than the employer matching contribution threshold despite being vested in their match and being able ... -
12 Questions to … 12 Fragen an …
(Oekom Publishers GmbH, 2006-09-01) -
2 Plus 2
(1990) -
Abuse of Dominance by High-Technology Enterprises: A Comparison of U.S. and E.C. Approaches
(John F. Kennedy School of Government, Harvard University, 2010)This paper compares how the United States and the European Community dealt with competition policy challenges by two firms operating at the frontiers of technology: Microsoft and Intel. The U.S. Microsoft case was broadly ... -
Access Pricing, Competition, and Incentives to Migrate From "Old" to "New" Technology
(John F. Kennedy School of Government, Harvard University, 2011)In this paper, we analyze the incentives of an incumbent and an entrant to migrate from an "old" technology to a "new" technology, and discuss how the terms of wholesale access affect this migration. We show that a higher ... -
Access to 4-Year Public Colleges and Degree Completion
(University of Chicago Press, 2017)Does access to 4-year colleges affect degree completion for students who would otherwise attend 2-year colleges? Admission to Georgia’s 4-year public sector requires minimum SAT scores. Regression discontinuity estimates ... -
Achieving Universal Health Insurance Coverage in the United States: Addressing Market Failures or Providing a Social Floor?
(Harvard Kennedy School, 2023-01)The United States spends substantially more on health care than most developed countries, yet leaves a greater share of the population uninsured. We suggest that incremental insurance expansions focused on addressing market ... -
Adaptive management, heal thyself
(2002) -
Addressing Catastrophic Risks: Disparate Anatomies Require Tailored Therapies
(John F. Kennedy School of Government, Harvard University, 2011)Catastrophic risks differ in terms of their natural or human origins, their possible amplification by human behaviors, and the relationships between those who create the risks and those who suffer the losses. Given their ... -
Adjustment Costs, Firm Responses, and Micro vs. Macro Labor Supply Elasticities: Evidence from Danish Tax Records
(MIT Press, 2011)We show that the effects of taxes on labor supply are shaped by interactions between adjustment costs for workers and hours constraints set by firms. We develop a model in which firms post job offers characterized by an ... -
Advanced Energy Supply Technologies
(United Nations Development Programme, 2001) -
Advancing Nuclear Security:Evaluating Progress and Setting New Goals
(Belfer Center for Science and International Affairs, 2014)The threat of nuclear and radiological terrorism has not disappeared, though the world has made important progress in reducing these risks. Urgent new steps are needed to build effective and lasting nuclear security ... -
Adverse Selection and Network Design Under Regulated Plan Prices: Evidence from Medicaid
(Harvard Kennedy School, 2022-12)Health plans for the poor increasingly limit access to specialty hospitals. We investigate the role of adverse selection in generating this equilibrium among private plans in Medicaid. Studying a network change, we find ... -
AGOA Rules: The Intended and Unintended Consequences of Special Fabric Provisions
(John F. Kennedy School of Government, Harvard University, 2011)Lesotho and other least developed African countries responded impressively to the preferences they were granted under the African Growth and Opportunities Act with a rapid increase in their clothing exports to the US. But ... -
Air quality–carbon–water synergies and trade-offs in China’s natural gas industry
(Springer Science and Business Media LLC, 2018-09-14) -
Algorithm, Human, or the Centaur: How to Enhance Clinical Care?
(Harvard Kennedy School, 2022-12)There is a growing amount of evidence that machine learning (ML) algorithms can be used to develop accurate clinical risk scores for a wide range of medical conditions. However, the degree to which such algorithms can ...