Martin Nybom
Jan Stuhler
Mattia Fochesato
Sam Bowles
Linda Wu
Tzu-Ting Yang
Thomas Piketty
Malka Guillot
Jonathan Goupille-Lebret
Bertrand Garbinti
Antoine Bozio
Hakki Yazici
Slavík Ctirad
Kina Özlem
Tilman Graff
Tilman Graff
Yuri Ostrovsky
Martin Munk
Anton Heil
Maitreesh Ghatak
Robin Burgess
Oriana Bandiera
Claire Balboni
Jonna Olsson
Richard Foltyn
Minjie Deng
Iiyana Kuziemko
Elisa Jácome
Juan Pablo Rud
Bridget Hofmann
Sumaiya Rahman
Martin Nybom
Stephen Machin
Hans van Kippersluis
Anne C. Gielen
Espen Bratberg
Jo Blanden
Adrian Adermon
Maximilian Hell
Robert Manduca
Robert Manduca
Marta Morazzoni
Aadesh Gupta
David Wengrow
Damian Phelan
Amanda Dahlstrand
Andrea Guariso
Erika Deserranno
Lukas Hensel
Stefano Caria
Vrinda Mittal
Ararat Gocmen
Clara Martínez-Toledano
Yves Steinebach
Breno Sampaio
Joana Naritomi
Diogo Britto
François Gerard
Filippo Pallotti
Heather Sarsons
Kristóf Madarász
Anna Becker
Lucas Conwell
Michela Carlana
Katja Seim
Joao Granja
Jason Sockin
Todd Schoellman
Paolo Martellini
UCL Policy Lab
Natalia Ramondo
Javier Cravino
Vanessa Alviarez
Hugo Reis
Pedro Carneiro
Raul Santaeulalia-Llopis
Diego Restuccia
Chaoran Chen
Brad J. Hershbein
Claudia Macaluso
Chen Yeh
Xuan Tam
Xin Tang
Marina M. Tavares
Adrian Peralta-Alva
Carlos Carillo-Tudela
Felix Koenig
Joze Sambt
Ronald Lee
James Sefton
David McCarthy
Bledi Taska
Carter Braxton
Alp Simsek
Plamen T. Nenov
Gabriel Chodorow-Reich
Virgiliu Midrigan
Corina Boar
Sauro Mocetti
Guglielmo Barone
Steven J. Davis
Nicholas Bloom
José María Barrero
Thomas Sampson
Adrien Matray
Natalie Bau
Darryl Koehler
Laurence J. Kotlikoff
Alan J. Auerbach
Irina Popova
Alexander Ludwig
Dirk Krueger
Nicola Fuchs-Schündeln
Taylor Jaworski
Walker Hanlon
Ludo Visschers
Henrik Kleven
Kristian Jakobsen
Katrine Marie Jakobsen
Alessandro Guarnieri
Tanguy van Ypersele
Fabien Petit
Cecilia García-Peñalosa
Yonatan Berman
Nina Weber
Julian Limberg
David Hope
Pedro Tremacoldi-Rossi
Tatiana Mocanu
Marco Ranaldi
Silvia Vannutelli
Raymond Fisman
John Voorheis
Reed Walker
Janet Currie
Roel Dom
Marcos Vera-Hernández
Emla Fitzsimons
José V. Rodríguez Mora
Tomasa Rodrigo
Álvaro Ortiz
Stephen Hansen
Vasco Carvalho
Gergely Buda
Gabriel Zucman
Anders Jensen
Matthew Fisher-Post
José-Alberto Guerra
Myra Mohnen
Christopher Timmins
Ignacio Sarmiento-Barbieri
Peter Christensen
Linda Wu
Gaurav Khatri
Julián Costas-Fernández
Eleonora Patacchini
Jorgen Harris
Marco Battaglini
Ricardo Fernholz
Alberto Bisin
Jess Benhabib
Cian Ruane
Pete Klenow
Mark Bils
Peter Hull
Will Dobbie
David Arnold
Eric Zwick
Owen Zidar
Matt Smith
Ansgar Walther
Tarun Ramadorai
Paul Goldsmith-Pinkham
Andreas Fuster
Ellora Derenoncourt
Golvine de Rochambeau
Vinayak Iyer
Jonas Hjort
Elena Simintzi
Paige Ouimet
Holger Mueller
Pablo Garriga
Gabriel Ulyssea
Costas Meghir
Pinelopi Koujianou Goldberg
Rafael Dix-Carneiro
Alessandro Toppeta
Áureo de Paula
Orazio Attanasio
Seth Zimmerman
Joseph Price
Valerie Michelman
Camille Semelet
Anne Brockmeyer
Pierre Bachas
Santiago Pérez
Elisa Jácome
Leah Boustan
Ran Abramitzky
Jesse Rothstein

Technical change and superstar effects: Evidence from the rollout of television

What is this research about and why did you do it?

The research studies the rise of “superstar earners” among entertainers. A handful of entertainers earn extremely high salaries, but most entertainers have relatively modest. My goal of this study is to understand why and when these types of “winner-take-all” markets happen. I got interested in this topic because entertainers are the poster child of “winner take all” markets. There is a bigger debate about why so many labour markets appear to be moving closer to “winner take all” settings, where a small share of top earners earns a large share of the total income. Entertainment offers a neat laboratory to assess a leading explanation: the rise of technologies that expand the market scale that star workers can reach.

How did you answer this question?

The study looks at the rise of television, which sharply increased the audience reach of many entertainers. Exposure to the launch of television varied across local areas in the US since stations were only slowly rolled out. The launch of a station impacted local entertainers since initial broadcast stations frequently broadcasted locally produced content. The study compares top earnings among local entertainers in areas that have vs. ones that do not have television in differences in design differences. The roll-out of television was unexpectedly interrupted for several years in the late 1940s.This creates a powerful “natural experiment” that allowed me to compare entertainers in areas that got lucky and received TV just before the rollout stopped to ones that were stated to receive TV next but did not.

What did you find?

The launch of television led to the rise of superstar pay for entertainers. The probability that entertainers could reach the top income percentile roughly doubled when television started in the area. The rise of star entertainers was accompanied by a smaller increase in “backup stars,” who also earned extremely high but slightly lower incomes than lead superstars. We do not observe such effects in places that were slated for TV but missed out, and the effects disappeared as soon as national TV production replaced local production in the mid-1950s, adding confidence that we are indeed picking up the impact of local TV filming. While TV created local stars, it had an adverse impact for average entertainers. Opportunities to earn an upper-middle-class wage as an entertainer became scarce. The income distribution started to polarize, with a few highly renumerated stars, a hollowed-out middle, and a larger low-pay sector. Overall, employment in entertainment contracted as consumers shifted from traditional local entertainment to watching the stars on television.

Rising and falling stars - The chart above shows the impact of the rollout of local TV stations (blue circles) on the share of local entertainers in the top percentile of the US wage distribution. Locations with stations that were blocked during the rollout or "frozen stations" (red diamonds), and placebo occupations (yellow triangles), which considered occupations unrelated to entertainment, saw no impacts over the rollout.

What implications does this have for the study (research and teaching) of wealth concentration or economic inequality?

The study finds that new technologies can contribute significantly to income concentration among a few top earners. The proliferation of television transformed entertainment into a "winner take all market," concentrating income among a few. This episode prompts one to think of other "scale-related" technologies and their potential implications for the rise of incomes within the upper echelons of the income distribution.

What are the next steps in your agenda?

Follow-on work continues to explore forces that drive changes in the income distribution (technological and otherwise). For example, a related piece of mine discusses the important role of migration for the top income shares in a small open economy like the UK.  

Citation and related resources

Koenig., F. (2023) "Technical Change and Superstar Effects: Evidence from the Rollout of Television". American Economic Review: Insights, 5, (2)pp207-23

Related resources:

About the authors