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GLOBALIZATION AND TOP INCOME SHARES

February 2014

Written by: Lin Ma

Working Paper Number:

CES-14-07

Abstract

How does globalization affect the income gaps between the rich and the poor? This paper presents a new piece of empirical evidence showing that access to the global market, either through exporting or through multinational production, is associated with a higher executive-to-worker pay ratio within the firm. It then builds a model with heterogeneous firms, occupational choice, and executive compensation to model analytically and assess quantitatively the impact of globalization on the income gaps between the rich and the poor. The key mechanism is that the 'gains from trade' are not distributed evenly within the same firm. The compensation of an executive is positively linked to the size of the firm, while the wage paid to the workers is determined in a country- wide labor market. Any extra profit earned in the foreign markets benefits the executives more than the average worker. Counterfactual exercises suggest that this new channel is quantitatively important for the observed surge in top income shares in the data. Using the changes in the volume of trade and multinational firm sales, the model can explain around 33 percent of the surge in top income shares over the past two decades in the United States.

Document Tags and Keywords

Keywords Keywords are automatically generated using KeyBERT, a powerful and innovative keyword extraction tool that utilizes BERT embeddings to ensure high-quality and contextually relevant keywords.

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:
international trade, employ, subsidiary, monopolistically, exporter, multinational, econometrician, salary, gdp, occupation, trade models, earn, globalization, earner, exporters multinationals

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:
Internal Revenue Service, Center for Economic Studies, Total Factor Productivity, Securities and Exchange Commission, National Income and Product Accounts, Foreign Direct Investment, Longitudinal Business Database, World Bank, Census Bureau Business Register, Business Register, CDF, University of Michigan, Longitudinal Firm Trade Transactions Database

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