This text offers a short account of England's foreign trade in the nineteenth century and looks at the economic and social results of commerce. First published in 1893, this is a revised version and it includes ten statistical diagrams.

Conventional wisdom holds that free trade is economically beneficial to nations. But this does not prevent industries and interest groups from lobbying their governments for protection, which creates a fear of electoral backlash among politicians hoping to promote free trade. The Limits of Protectionism demonstrates how governments can attain those economic benefits while avoiding the political costs.Michael Lusztig's theoretical model focuses on a process by which protectionists can be pushed to restructure and compete in a global economy. In this process, a small cutback in domestic protection leads to lost market shares at home; producers must then turn to overseas exports, and, as the size of foreign profits grow, former protectionists become active advocates for more and greater free trade opportunities.In a wide-ranging array of case studies—from nineteenth-century Britain to Depression-era United States to contemporary New Zealand, Australia, Brazil, Canada, Chile, and Mexico—Lusztig reveals that, if skillfully handled, governments can eliminate the obstacles to free trade and enjoy continued economic growth without fear of protectionist groups seeking revenge at the ballot box.

Arthur Lyon Bowley, the founding father of modern statistics, was an important and colorful figure and a leader in cementing the foundations of statistical methodology, including survey methodology, and of the applications of statistics to economical and social issues during the late 19th and early 20th centuries. In many respects, he was ahead of his time.The giants in this field around that time were largely concentrated in the British Isles and Scandinavian countries; among these contributors, Arthur Bowley was one of the most active in revolutionizing statistical methodology and its economic applications. However, Bowley has been vastly undervalued by subsequent commentators — while hundreds of articles and books have been written on Karl Pearson, those on Arthur Bowley amount to a dozen or less. This book seeks to remedy this and fill in an important omission in the monographical literature on the history of statistics. In particular, the recent resurgence of interest in poverty research has led to a renewed interest in Bowley's legacy.