Cookies?
Library Header Image
LSE Theses Online London School of Economics web site

Empirical essays on the roles of news media in an urban economy

Kim, Hayoung (2018) Empirical essays on the roles of news media in an urban economy. PhD thesis, The London School of Economics and Political Science (LSE).

[img] Text - Submitted Version
Download (3MB)

Abstract

Economists typically assume perfect information, but households are not always well informed, and face a high degree of uncertainty regarding the quality of goods or value of their assets. As a consequence, information from mass media is a main part of our everyday lives. Coverage in popular media outlets can catch the attention of millions of households and, therefore, news media may influence their decisions in several ways. This thesis investigates the roles of news media in an urban economy and for housing markets. Each of the three empirical essays provides insights into how information from the media can shape the economic decisions of households as either homebuyers, homeowners, or consumers. While the first and the second chapters estimate the causal effects of publicity, in particular positive information, on house prices and non-housing consumption, respectively, the last chapter explores how media coverage may affect the link between house prices and homeowner spending. This thesis places particular emphasis on understanding the mechanisms through which news media may affect economic outcomes by empirically identifying potential channels.

Item Type: Thesis (PhD)
Additional Information: © 2018 Hayoung Kim
Library of Congress subject classification: H Social Sciences > HM Sociology
P Language and Literature > PN Literature (General) > PN1990 Broadcasting
Sets: Departments > Geography and Environment
Supervisor: Hilber, Christian and Carozzi, Felipe and Ahlfeldt, Gabriel
URI: http://etheses.lse.ac.uk/id/eprint/3870

Actions (login required)

Record administration - authorised staff only Record administration - authorised staff only

Downloads

Downloads per month over past year

View more statistics