E-lections: Voting Behavior and the Internet

Falck, Oliver; Gold, Robert; Heblich, Stephan

doi:10.1257/aer.104.7.2238

Cited by 262 publications

(285 citation statements)

References 46 publications

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“…Source: Falck et al (2014) Inflow unemployed Number of individuals who became unemployed in municipality i at year t.…”

Section: Discussionmentioning

confidence: 99%

“…As described in Falck et al (2014) and Steinmetz and Elias (1979), early DSL availability required copper wires between households and the main distribution frames (MDFs). The distribution of MDFs was originally determined in the 1960s with the overall purpose to provide telephone services in West Germany.…”

Section: Identificationmentioning

confidence: 99%

“…In the literature, the DSL period is typically defined as covering the years from 2005 to 2008, whereas the pre-DSL period refers to the years 1996 to 1999 (Falck et al, 2014).…”

Section: Data and Sample Selectionmentioning

confidence: 99%

“…As our sample consists of the universe of the unemployed and a 50% sample of employed individuals, we re-weight the averages to match the official unemployment rates. Some further regional characteristics for the pre-DSL and DSL years are also available from Falck et al (2014) (see Table B.1 in Appendix B). among those entering unemployment.…”

Section: Descriptive Statisticsmentioning

confidence: 99%

“…During the last two decades, this has brought about a significant reduction in all kinds of information frictions, such as in the areas of elections as well as insurance, goods, housing and labor markets. Against this background, there has been a surge of empirical studies dealing with the internet's impact on outcomes such as product market performance (Brynjolfsson andSmith, 2000, Brown andGoolsbee, 2002), voting behavior (Falck et al, 2014) and crime (Bhuller et al, 2013) amongst others. In the context of labor markets, one of the major features that are likely to be affected by the internet is the way how workers and employers search for each other and eventually form a match (Autor, 2001).…”

Section: Introductionmentioning

confidence: 99%

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Do Digital Information Technologies Help Unemployed Job Seekers Find a Job? Evidence from the Broadband Internet Expansion in Germany

et al. 2018

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. http://ftp.zew.de/pub/zew-docs/dp/dp18030.pdf Die Dis cus si on Pape rs die nen einer mög lichst schnel len Ver brei tung von neue ren For schungs arbei ten des ZEW. Die Bei trä ge lie gen in allei ni ger Ver ant wor tung der Auto ren und stel len nicht not wen di ger wei se die Mei nung des ZEW dar. Terms of use: Documents inDis cus si on Papers are inten ded to make results of ZEW research prompt ly avai la ble to other eco no mists in order to encou ra ge dis cus si on and sug gesti ons for revi si ons. The aut hors are sole ly respon si ble for the con tents which do not neces sa ri ly repre sent the opi ni on of the ZEW. This paper studies effects of the introduction of a new digital mass medium on reemployment of unemployed job seekers. We combine data on high-speed (broadband) internet availability at the local level with individual register data on the unemployed in Germany. We address endogeneity by exploiting technological peculiarities in the network that affected the roll-out of high-speed internet. The results show that high-speed internet improves reemployment rates after the first months of the unemployment spell. This is confirmed by complementary analysis with individual survey data suggesting that online job search leads to additional formal job interviews after a few months in unemployment.JEL Classification: J64, K42, H40, L96, C26.

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“…Source: Falck et al (2014) Inflow unemployed Number of individuals who became unemployed in municipality i at year t.…”

Section: Discussionmentioning

confidence: 99%

Section: Identificationmentioning

confidence: 99%

“…In the literature, the DSL period is typically defined as covering the years from 2005 to 2008, whereas the pre-DSL period refers to the years 1996 to 1999 (Falck et al, 2014).…”

Section: Data and Sample Selectionmentioning

confidence: 99%

Section: Descriptive Statisticsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Do Digital Information Technologies Help Unemployed Job Seekers Find a Job? Evidence from the Broadband Internet Expansion in Germany

et al. 2018

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Vaccine hesitancy and (fake) news: Quasi‐experimental evidence from Italy

2019

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The spread of fake news and misinformation on social media is blamed as a primary cause of vaccine hesitancy, which is one of the major threats to global health, according to the World Health Organization. This paper studies the effect of the diffusion of misinformation on immunization rates in Italy by exploiting a quasi‐experiment that occurred in 2012, when the Court of Rimini officially recognized a causal link between the measles‐mumps‐rubella vaccine and autism and awarded injury compensation. To this end, we exploit the virality of misinformation following the 2012 Italian court's ruling, along with the intensity of exposure to nontraditional media driven by regional infrastructural differences in Internet broadband coverage. Using a Difference‐in‐Differences regression on regional panel data, we show that the spread of this news resulted in a decrease in child immunization rates for all types of vaccines.

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The effect of broadband Internet on the gender gap in mental health: Evidence from Germany

Golin

2022

Health Economics

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Mental health conditions, together with substance-use disorders, account for a significant share of the global disease burden (Collins et al., 2011;Vos et al., 2012). This share is particularly large among the population aged 10-24, and has significantly increased over time between 1990 and 2017. 1 Further, women are almost twice as likely as men to experience episodes of depression (DeRubeis et al., 2008; WHO, 2000). The economic costs of poor mental health are large. The World Health Organization estimates the current cost to the global economy of depression and anxiety to be around US$ 1 trillion per year in lost productivity (Patel et al., 2016; WHO, 2019) 2 and a large body of evidence highlights the negative consequences of mental illness on individual economic outcomes. 3 Yet, despite the significant societal and economic burden of mental health disorders, to date relatively little is known about the determinants of mental health and factors affecting psychological well-being over the lifetime. Recently, attention has been drawn to the role of Internet and mobile technologies in contributing to the rise of mental disorders, especially among the population of young adults. 4 The scientific evidence on the effect of these new technologies is however scant. In this paper, I aim to fill this gap in the literature and look at the causal effect of broadband Internet access on self-reported mental health, and the role of technology in contributing to the gender gap in mental health.

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E-lections: Voting Behavior and the Internet

Cited by 262 publications

References 46 publications

Do Digital Information Technologies Help Unemployed Job Seekers Find a Job? Evidence from the Broadband Internet Expansion in Germany

Do Digital Information Technologies Help Unemployed Job Seekers Find a Job? Evidence from the Broadband Internet Expansion in Germany

Vaccine hesitancy and (fake) news: Quasi‐experimental evidence from Italy

The effect of broadband Internet on the gender gap in mental health: Evidence from Germany

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