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The AIG Story
In The AIG Story, the company's long-term CEO Hank Greenberg (1967 to 2005) and GW professor and corporate governance expert Lawrence Cunningham chronicle the origins of the company and its relentless pioneering of open markets everywhere in the world. They regale readers with riveting vignettes of how AIG grew from a modest group of insurance enterprises in 1970 to the largest insurance company in world history. They help us understand AIG's distinctive entrepreneurial culture and how its outstanding employees worldwide helped pave the road to globalization.Corrects numerous common misconceptions about AIG that arose due to its role at the center of the financial crisis of 2008.A unique account of AIG by one of the iconic business leaders of the twentieth century who developed close relationships with many of the most important world leaders of the period and helped to open markets everywhereOffers new critical perspective on battles with N. Y. Attorney General Eliot Spitzer and the 2008 U.S. government seizure of AIG amid the financial crisisShares considerable information not previously made publicThe AIG Story captures an impressive saga in business history--one of innovation, vision and leadership at a company that was nearly--destroyed with a few strokes of governmental pens. The AIG Story carriesimportant lessons and implications for the U.S., especially its role in international affairs, its approach to business, its legal system and its handling of financial crises.
eBook
Insurance Class Actions in the United States
Class actions, which are civil cases in which parties initiate a lawsuit on behalf of other plaintiffs not specifically named in the complaint, often make headlines and arouse policy debates. However, policymakers and the public know little about most class actions. This book presents the results of surveys of insurers and of state departments of insurance to learn more about class litigation against insurance companies.
eBook
Selection in Insurance Markets: Theory and Empirics in Pictures
Government intervention in insurance markets is ubiquitous and the theoretical basis for such intervention, based on classic work from the 1970s, has been the problem of adverse selection. Over the last decade, empirical work on selection in insurance markets has gained considerable momentum. This research finds that adverse selection exists in some insurance markets but not in others. And it has uncovered examples of markets that exhibit \"advantageous selection\"—a phenomenon not considered by the original theory, and one that has different consequences for equilibrium insurance allocation and optimal public policy than the classical case of adverse selection. Advantageous selection arises when the individuals who are willing to pay the most for insurance are those who are the most risk averse (and so have the lowest expected cost). Indeed, it is natural to think that in many instances individuals who value insurance more may also take action to lower their expected costs: drive more carefully, invest in preventive health care, and so on. Researchers have taken steps toward estimating the welfare consequences of detected selection and of potential public policy interventions. In this essay, we present a graphical framework for analyzing both theoretical and empirical work on selection in insurance markets. This graphical approach provides both a useful and intuitive depiction of the basic theory of selection and its implications for welfare and public policy, as well as a lens through which one can understand the ideas and limitations of existing empirical work on this topic.
Journal Article
Early Impacts of the Affordable Care Act on Health Insurance Coverage in Medicaid Expansion and Non-Expansion States
The Affordable Care Act (ACA) aimed to achieve nearly universal health insurance coverage in the United States through a combination of insurance market reforms, mandates, subsidies, health insurance exchanges, and Medicaid expansions, most of which took effect in 2014. This paper estimates the causal effects of the ACA on health insurance coverage in 2014 using data from the American Community Survey. We utilize difference-in-difference-in-differences models that exploit cross-sectional variation in the intensity of treatment arising from state participation in the Medicaid expansion and local area pre-ACA uninsured rates. This strategy allows us to identify the effects of the ACA in both Medicaid expansion and non-expansion states. Our preferred specification suggests that, at the average pre-treatment uninsured rate, the full ACA increased the proportion of residents with insurance by 5.9 percentage points compared to 2.8 percentage points in states that did not expand Medicaid. Private insurance expansions from the ACA were due to increases in both employer-provided and non-group coverage. The coverage gains from the full ACA were largest for those without a college degree, non-whites, young adults, unmarried individuals, and those without children in the home. We find no evidence that the Medicaid expansion crowded out private coverage.
Journal Article