WORKING PAPERS
My research agenda currently focuses on two main topics: the political consequences of technological change and the experiences and preferences of political elites.
Technological change
Technological change, trade, and preferences for redistribution: Experimental evidence, revise & resubmit at Comparative Political Studies
With Alex Kuo, Pepe Fernández-Albertos and Dulce Manzano
A recurring concern in the media and among economists is that the adoption of new digital technologies in the workplace can displace workers. This paper asks if the general public is concerned about technological unemployment and which policies do citizens demand to deal with workers who become unemployed due to technological change. To study these questions, we collect novel data from a large survey in Spain with embedded survey experiments. All the experiments compare technological change with change driven by international trade. Our findings suggest that citizens believe that the impact of the introduction of digital technologies in the workplace is positive for society and for their own jobs on average. However, preoccupation varies substantially with vulnerability: workers more exposed to change are also more likely to view the impact of technology as negative. Turning to policy demands in case of technological unemployment, we find no evidence that citizens are more likely to support an unconditional cash transfer for workers affected by technological shocks than by workers affected by trade shocks. Finally, we find that economic shocks with clear outgroup beneficiaries are more likely to produce anger and lead to more demand for the government to step in and stop the change. We speculate that there are several reasons why Luddism is not widespread: the public sees technological change at the workplace as a benign force, most workers are not concerned about being personally affected, and automation does not produce clear outgroup beneficiaries to mobilize against.
Draft available on request
Automation versus openness: Support for policies to address job threats
With Alex Kuo, Pepe Fernández Albertos and Dulce Manzano
Does the threat of automation to workers' employment provoke distinct policy preferences from the threat of globalization? Despite a burgeoning set of studies of consequences of rapid automation in the workplace, there remain few studies that directly compare the impact of these structural threats on public policy preferences. We present hypotheses about how these different threats affect support for policies to prevent such shocks as well as policies to compensate via redistribution, with a focus on policies that address the most affected workers. Using a vignette experiment and a conjoint experiment embedded in survey evidence from Spain, we find that the threat of automation does not provoke any greater demand for redistribution than does openness. We do observe, however, an important difference: while the threat of offshoring does cause greater support for policies designed to prevent this process from happening, scenarios of robot substitution do not provoke a similar reaction
Draft available on request
Political elites
"Educated Politicians: Effects on Performance and Fiscal Policy"
With Marta Curto
Highly educated citizens are dramatically over-represented among politicians. Is this bias desirable, troubling or irrelevant? Recent studies argue that highly educated politicians perform better in office, but others find no effects. We advance a third possibility which is that education affects the preferences and beliefs of politicians, and leads them to pursue different goals and fiscal policies. Our empirical analysis is based on a novel dataset with information about the education, age and gender of elected local politicians in Spain and detailed economic and fiscal data collected between 2003 and 2011. Applying a Regression Discontinuity design, we find that when parties with more educated politicians win the election, municipalities have higher unemployment rates and do not perform better in other respects. Further analyses reveal that educated politicians are more fiscally conservative, spend less in capital investment, and prioritize different spending areas. Our results are consistent with the interpretation that more educated politicians are more fiscally conservative rather than with the claim that education is a proxy of quality. To conclude, we discuss how the elitism in the educational composition of governments can undermine political representation.
Draft available on request
Citizens' Feedback and Attention to Gender Issues on Twitter: A Dynamic Reinforcement Learning Model
With Nikolas Schöll and Gaël Le Mens
Previous research states that female politicians focus more on gender issues because they have different motivations and because the public treats them differently. We propose and test a feedback-based mechanism that can explain differences in attention to gender issues based on standard reinforcement models of learning in behavioral psychology. We contend that politicians talk more about issues on which they obtain more positive feedback and that citizens send more positive feedback to female representatives for talking about gender than to men. This widens initial differences in issue attention over time. We test our expectations using a large dataset of social media data covering the universe of tweets written by national and regional MPs between 2016 and 2019 in Spain (n=1.3 million). Our empirical approach combines machine learning methods with econometric models with politician and day fixed effects. We show that female politicians receive relatively more retweets and likes for writing tweets on gender issues, and that politicians respond to positive feedback by tweeting more on the respective issue. This mechanism can explain some of the observed difference in attention to gender issues between male and female politicians. We speculate that social media can exacerbate existing differences in the agendas of male and female politicians.
Draft available on request
OTHER WORK IN PROGRESS
Politics in the Age of Automation (with Thomas Kurer)
Invited at the Annual Review of Political Science
Family structure and women political representation: From historical legacies to rapid change (with Ana Tur-Prats and Dídac Queralt)
Presentation available on request
Unemployment Experiences of Political Elites and their Social Policy Preferences (with Alba Huidobro)
Initial results
The political legacies of violence: Evidence from the Spanish Civil War (with Laia Balcells, Elena Costas, Catherine de Vries and Hector Solaz)
Presentation available
ONGOING FUNDED RESEARCH PROJECTS
How technological change shapes politics: Voters, elections and policies (as PI of Spanish team)
Team: Henning Finseraas, Alex Kuo, Silja Häusermann, Thomas Kurer
Research grant NORFACE started in September 2020
Local politicians: Selection and performance (as Principal Investigator)
Team: Marta Curto, Elena Costas, Alba Huidobro, Yeimy Ospina, Ana Tur-Prats, and Didac Queralt
Research grant (CSO2016-79569-P) started in January 2017
Digital technology, ideological polarization and intolerance
With Ruben Enikolopov (PI), Maria Petrova and Ruben Durante
Research grant (BBVA Foundation) started in January 2018
My research agenda currently focuses on two main topics: the political consequences of technological change and the experiences and preferences of political elites.
Technological change
Technological change, trade, and preferences for redistribution: Experimental evidence, revise & resubmit at Comparative Political Studies
With Alex Kuo, Pepe Fernández-Albertos and Dulce Manzano
A recurring concern in the media and among economists is that the adoption of new digital technologies in the workplace can displace workers. This paper asks if the general public is concerned about technological unemployment and which policies do citizens demand to deal with workers who become unemployed due to technological change. To study these questions, we collect novel data from a large survey in Spain with embedded survey experiments. All the experiments compare technological change with change driven by international trade. Our findings suggest that citizens believe that the impact of the introduction of digital technologies in the workplace is positive for society and for their own jobs on average. However, preoccupation varies substantially with vulnerability: workers more exposed to change are also more likely to view the impact of technology as negative. Turning to policy demands in case of technological unemployment, we find no evidence that citizens are more likely to support an unconditional cash transfer for workers affected by technological shocks than by workers affected by trade shocks. Finally, we find that economic shocks with clear outgroup beneficiaries are more likely to produce anger and lead to more demand for the government to step in and stop the change. We speculate that there are several reasons why Luddism is not widespread: the public sees technological change at the workplace as a benign force, most workers are not concerned about being personally affected, and automation does not produce clear outgroup beneficiaries to mobilize against.
Draft available on request
Automation versus openness: Support for policies to address job threats
With Alex Kuo, Pepe Fernández Albertos and Dulce Manzano
Does the threat of automation to workers' employment provoke distinct policy preferences from the threat of globalization? Despite a burgeoning set of studies of consequences of rapid automation in the workplace, there remain few studies that directly compare the impact of these structural threats on public policy preferences. We present hypotheses about how these different threats affect support for policies to prevent such shocks as well as policies to compensate via redistribution, with a focus on policies that address the most affected workers. Using a vignette experiment and a conjoint experiment embedded in survey evidence from Spain, we find that the threat of automation does not provoke any greater demand for redistribution than does openness. We do observe, however, an important difference: while the threat of offshoring does cause greater support for policies designed to prevent this process from happening, scenarios of robot substitution do not provoke a similar reaction
Draft available on request
Political elites
"Educated Politicians: Effects on Performance and Fiscal Policy"
With Marta Curto
Highly educated citizens are dramatically over-represented among politicians. Is this bias desirable, troubling or irrelevant? Recent studies argue that highly educated politicians perform better in office, but others find no effects. We advance a third possibility which is that education affects the preferences and beliefs of politicians, and leads them to pursue different goals and fiscal policies. Our empirical analysis is based on a novel dataset with information about the education, age and gender of elected local politicians in Spain and detailed economic and fiscal data collected between 2003 and 2011. Applying a Regression Discontinuity design, we find that when parties with more educated politicians win the election, municipalities have higher unemployment rates and do not perform better in other respects. Further analyses reveal that educated politicians are more fiscally conservative, spend less in capital investment, and prioritize different spending areas. Our results are consistent with the interpretation that more educated politicians are more fiscally conservative rather than with the claim that education is a proxy of quality. To conclude, we discuss how the elitism in the educational composition of governments can undermine political representation.
Draft available on request
Citizens' Feedback and Attention to Gender Issues on Twitter: A Dynamic Reinforcement Learning Model
With Nikolas Schöll and Gaël Le Mens
Previous research states that female politicians focus more on gender issues because they have different motivations and because the public treats them differently. We propose and test a feedback-based mechanism that can explain differences in attention to gender issues based on standard reinforcement models of learning in behavioral psychology. We contend that politicians talk more about issues on which they obtain more positive feedback and that citizens send more positive feedback to female representatives for talking about gender than to men. This widens initial differences in issue attention over time. We test our expectations using a large dataset of social media data covering the universe of tweets written by national and regional MPs between 2016 and 2019 in Spain (n=1.3 million). Our empirical approach combines machine learning methods with econometric models with politician and day fixed effects. We show that female politicians receive relatively more retweets and likes for writing tweets on gender issues, and that politicians respond to positive feedback by tweeting more on the respective issue. This mechanism can explain some of the observed difference in attention to gender issues between male and female politicians. We speculate that social media can exacerbate existing differences in the agendas of male and female politicians.
Draft available on request
OTHER WORK IN PROGRESS
Politics in the Age of Automation (with Thomas Kurer)
Invited at the Annual Review of Political Science
Family structure and women political representation: From historical legacies to rapid change (with Ana Tur-Prats and Dídac Queralt)
Presentation available on request
Unemployment Experiences of Political Elites and their Social Policy Preferences (with Alba Huidobro)
Initial results
The political legacies of violence: Evidence from the Spanish Civil War (with Laia Balcells, Elena Costas, Catherine de Vries and Hector Solaz)
Presentation available
ONGOING FUNDED RESEARCH PROJECTS
How technological change shapes politics: Voters, elections and policies (as PI of Spanish team)
Team: Henning Finseraas, Alex Kuo, Silja Häusermann, Thomas Kurer
Research grant NORFACE started in September 2020
Local politicians: Selection and performance (as Principal Investigator)
Team: Marta Curto, Elena Costas, Alba Huidobro, Yeimy Ospina, Ana Tur-Prats, and Didac Queralt
Research grant (CSO2016-79569-P) started in January 2017
Digital technology, ideological polarization and intolerance
With Ruben Enikolopov (PI), Maria Petrova and Ruben Durante
Research grant (BBVA Foundation) started in January 2018
