We examine the extent to which declining manufacturing employment may have contributed to increasing inequality in advanced economies. This contribution is typically small, except in the United States. We explore two possible explanations: the high initial manufacturing wage premium and the high level of income inequality. The manufacturing wage premium declined between the 1980s and the 2000s in the United States, but it does not explain the contemporaneous rise in inequality. Instead, high income inequality played a large role. This is because manufacturing job loss typically implies a move to the service sector, for which the worker is not skilled at first and accepts a low-skill wage. On average, the associated wage cut increases with the overall level of income inequality in the country, conditional on moving down in the wage distribution. Based on a stylized scenario, we calculate that the movement of workers to low-skill service sector jobs can account for about a quarter of the increase in inequality between the 1980s and the 2000s in the United States. Had the U.S. income distribution been more equal, only about one tenth of the actual increase in inequality could have been attributed to the loss of manufacturing jobs, according to our simulations.

Through its detailed comparative analysis of employers' attitudes toward women workers, Manufacturing Inequality mounts a careful critique of both neoclassical economics and feminist dual systems as frameworks for understanding gender discrimination in industry.

In this text the author argues that rapid technological change, sluggish real wage growth, and widening inequality have characterized earlier periods of economic growth of revolutionary new technologies.

The world knows that there is a global crisis of inequality in pay. But what caused it? Where is it more and where less severe? What can be done? This book deploys new techniques and a new global data set to advance striking answers to these questions, answers that have eluded even the largest international research institutions such as the OECD and the World Bank. Chapters trace the U.S. wage structure back to 1920, the relationship of inequality and unemployment in Europe, and the relationships of inequality to economic growth, liberalization, financial crisis, state violence and industrial policy in more than fifty developing countries.

This book examines the implications of trade reforms with reference to the 1991 reforms for India's manufacturing sector. The gradualist nature of the reform process, the move from a restrictive policy regime to an open one, and the unevenness of the reforms across sectors make the Indian economy a relevant context for understanding the welfare implications of trade reforms.

The consensus view among economic historians is that wage inequality in American manufacturing followed an inverted-U path from the early nineteenth century until just before World War Two. The previous literature, however, has been unable to fully document this path over time, or fully assess the role of explanatory factors such as changes in firm organization and technology. We provide fresh evidence that allow us to better document the inverted-U and its causes. In the first part of the paper, we use the U.S. Department of Labor's 1899 "Hand and Machine Labor" study to argue that wage inequality within manufacturing establishments rose over the nineteenth century, primarily because of increasing division of labor In the second part, we use data for Massachusetts from state reports to construct a new time series on wage inequality among production workers, which declined from the early 1890s to the late 1930s, mainly because of compression in the left tail of the distribution. Analysis of industry panel data suggest that electrification was the main factor behind the compression.

What exactly is spatial inequality? Why does it matter? And what should be the policy response to it? These questions have become important in recent years as the spatial dimensions of inequality have begun to attract considerable policy interest. In China, Russia, India, Mexico, and South Africa, as well as most other developing and transition economies, spatial and regional inequality - of economic activity, incomes, and social indicators - is on the increase. Spatial inequality is a dimension of overall inequality, but it has added significance when spatial and regional divisions align with political and ethnic tensions to undermine social and political stability. Also important in the policy debate is a perceived sense that increasing internal spatial inequality is related to greater openness of economies, and to globalization in general. Despite these important concerns, there is remarkably little systematic documentation of what has happened to spatial and regional inequality over the last twenty years. Correspondingly, there is insufficient understanding of the determinants of internal spatial inequality. This volume attempts to answer the questions posed above, drawing on data from twenty-five countries from all regions of the world. They bring together perspectives and expertise in development economics and in economic geography and form a well-researched introduction to an area of growing analytical and policy importance.