Data and Code for: Technical Change and Superstar Effects
Principal Investigator(s): View help for Principal Investigator(s) Felix Koenig, Carnegie Mellon University
Version: View help for Version V1
Name | File Type | Size | Last Modified |
---|---|---|---|
code | 07/29/2022 08:30:AM | ||
log | 02/13/2022 09:34:PM | ||
orig | 07/23/2022 07:48:PM | ||
processed_data | 02/13/2022 09:35:PM | ||
results | 02/13/2022 09:35:PM | ||
read-me_OCT2.pdf | application/pdf | 55.3 KB | 10/05/2022 10:44:AM |
Project Citation:
Koenig, Felix. Data and Code for: Technical Change and Superstar Effects. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-10-05. https://doi.org/10.3886/E162421V1
Project Description
Summary:
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Technical change that extends market scale can generate winner-take-all dynamics, with large income growth among top earners. I test this ``superstar model'' in the entertainer labor market, where the historic rollout of television creates a natural experiment in scale-related technological change. The resulting inequality changes are consistent with superstar theory: the launch of a local TV station skews the entertainer wage distribution sharply to the right, with the biggest impact at the very top of the distribution, while negatively impacting workers below the star level. The findings provide evidence of superstar effects and distinguish such effects from popular alternative models.
Funding Sources:
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ESRC Doctoral Training Center at LSE
Scope of Project
Subject Terms:
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Superstar Effect ;
Inequality;
Top income;
Technical change
JEL Classification:
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D31 Personal Income, Wealth, and Their Distributions
J23 Labor Demand
J31 Wage Level and Structure; Wage Differentials
O33 Technological Change: Choices and Consequences; Diffusion Processes
D31 Personal Income, Wealth, and Their Distributions
J23 Labor Demand
J31 Wage Level and Structure; Wage Differentials
O33 Technological Change: Choices and Consequences; Diffusion Processes
Geographic Coverage:
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USA (mainland)
Time Period(s):
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1920 – 1970
Data Type(s):
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census/enumeration data;
other
Collection Notes:
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Records from historic television magazines. See README for details on primary sources.
Methodology
Unit(s) of Observation:
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commuting zone
Geographic Unit:
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commuting zone
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