A
Andrei Shleifer
Researcher at Harvard University
Publications - 519
Citations - 286543
Andrei Shleifer is an academic researcher from Harvard University. The author has contributed to research in topics: Government & Shareholder. The author has an hindex of 171, co-authored 514 publications receiving 271880 citations. Previous affiliations of Andrei Shleifer include National Bureau of Economic Research & University of Chicago.
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Judicial Checks and Balances
Rafael La Porta,Rafael La Porta,Florencio Lopez de Silanes,Florencio Lopez de Silanes,Cristian Pop-Eleches,Andrei Shleifer,Andrei Shleifer +6 more
TL;DR: This paper found strong support for the proposition that both judicial independence and constitutional review are associated with greater freedom, consistent with theory, and argued that judicial independence accounts for some of the positive effect of common law legal origin on measures of economic freedom.
ReportDOI
Characteristics of Hostile and Friendly Takeover Targets
TL;DR: For example, this paper found that disciplinary takeovers are more often hostile, and synergistic ones are more likely friendly, and that the motive for a takeover often determines its mood, while the low Tobin's Q seems to be an industry-specific rather than a firm-specific effect.
Posted Content
Expectations of Returns and Expected Returns
TL;DR: The authors analyzed time-series of investor expectations of future stock market returns from six data sources between 1963 and 2011 and found that investor expectations are strongly negatively correlated with model-based expected returns.
Journal ArticleDOI
The Rise of the Regulatory State
TL;DR: In this paper, the authors present a model of choice of law enforcement strategy between litigation and regulation based on the idea that justice can be subverted with sufficient expenditure of resources, and suggest that courts are more vulnerable to subversion than regulators.
Posted Content
The Economic Consequences of Noise Traders
TL;DR: In this paper, the authors present a simple overlapping-generations model of the stock market in which noise traders with erroneous and stochastic beliefs significantly affect prices and earn higher returns than do rational investors.