829 research outputs found

    The Highest Price Ever: The Great NYSE Seat Sale of 1928–1929 and Capacity Constraints

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    During the 1920s the New York Stock Exchange's position as the dominant American exchange was eroding. Costs to customers, measured as bid-ask spreads, spiked when surging inflows of orders collided with the constraint created by a fixed number of brokers. The NYSE's management proposed and the membership approved a 25 percent increase in the number of seats by issuing a quarter-seat dividend to all members. An event study reveals that the aggregate value of the NYSE rose in anticipation of improved competitiveness. These expectations were justified as bid-ask spreads became less sensitive to peak volume days

    Productivity in American Whaling: The New Bedford Fleet in the Nineteenth Century

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    From the end of the War of 1812 until the Civil War the New Bedford whaling fleet grew spectacularly; thereafter it declined, equally spectacularly. By the end of the century New Bedford's day was over. During the 88 years of this period, the technical configuration of the fleet, the hunting grounds visited, and the types of whales pursued all changed dramatically, and more than once. The literature on whaling suggests that the collapse of the industry was due, in part, to declining productivity, occasioned by the disappearance of the whales (because of over-hunting) and the deterioration of the quality of labor. The shifts in the composition of the fleet are viewed, chiefly, as the result of efforts by whalemen to overcome their problems. In this paper, productivity data (superlative indexes), by voyage, are employed in multiple regression analysis to trace the relationships between the changes in the composition of the fleet and productivity. The propositions that declining labor quality and whale stocks had important consequences for productivity are subjected to test, while the impacts of technical changes on productivity are measured.

    Crimes / With or Without Authorization, It\u27s Still Identity Theft

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