Research Seminars

The rapid development of information technology and smartphone applications has introduced new and unique transportation services. This article introduces one of these recently established systems in South Korea, called application-based taxi pooling service (ATPS). The service differs from regular ridesharing in that the participating drivers are already registered taxi drivers. This study aims to investigate users’ willingness to use ATPS from the perspective of service attributes during the morning commute time and late-night. For this, a discrete choice experiment survey was conducted over one week in 2019, targeting 1,000 Seoul citizens who used taxis at least once over the past month. As a methodology, mixed-effect logistic regression modeling is used to jointly predict users’ behavioral processes of ATPS adoption for different choice experiments constructed based on the combination of four service attributes: fare, route matching degree, detour time, and waiting time. The estimated models revealed the dynamic impacts of all four service attributes on the acceptance of ATPS, which vary depending on the time of the day. In particular, the impacts of discounted fare were almost zero during late-night, and users brought higher value to the waiting and detour times. Users’ conventional taxi use experience and personal preferences were also found to be important elements in the acceptance of ATPS. The findings of this study will provide reasonable guidelines for the deployment of ridesharing services in car-dominant cities where citizens have not yet been introduced to the concept of ATPSs.

Exploiting a novel data set of criminal trials in 19th century London, we evaluate the impact of an accused’s right to counsel on convictions. While lower-level crimes had an established history of professional representation prior to 1836, individuals accused of committing a felony did not, even though the prosecution was conducted by professional attorneys. The Prisoners’ Counsel At of 1836 remedied this and first introduced the right to counsel in common law systems. Using a difference-in-difference estimation strategy we identify the causal effect of defense counsel. We find the surprising result that the professionalization of the courtroom led to an increase in the conviction rate, which we interpret as a consequence of jurors feeling that the trial became fairer. We go further and employ a topic modeling approach to the text of the transcripts to provide suggestive evidence on how the trials changed when defense counsel was fully introduced.

During economic, health, or political hardships, politicians often leverage citizens’ discontent and scapegoat minorities to obtain political support. This paper tests whether political campaigns scapegoating migrants for the health crisis affect social, political, and economic attitudes and behaviors. We implement an online nationally-representative survey experiment in Italy to analyze the effects of the strategic use of information about immigration on socio-political and economic attitudes and behavior. We manipulate the quantity and the content of information, including facts emphasizing the potential health consequences of immigration. Results show that information provisions associating immigration with health threats do not generate sizeable add-on effects compared to that based on immigration only. If anything, it increases disappointment towards Italians, reduces social and institutional trust, and undermines partisanship among extreme-right supporters. Overall, political campaigns based on these narratives appear relatively ineffective or, when successful, counterproductive from social and political viewpoints.

This paper studies the labor market effects of out- and in-migration in the context of cross-border commuting. It investigates an EU policy reform that granted Czech citizens full access to the German labor market, resulting in a Czech commuter outflow across the border to Germany. Exploiting the fact that the reform specifically impacted the Czech and German border regions, I use a matched difference-in-differences design to estimate its effects on local labor markets in both countries. Using a novel dataset on Czech regions, I show that municipalities in the Czech border region experienced a decrease in unemployment rates due to the worker outflow, while vacancies increased. For German border municipalities, I find evidence for slower employment growth (long-term) and slower wage growth (short-term), but no displacement effects for incumbent native workers.

A rich literature has long studied the asymmetric effects of monetary policy over the business cycle, generally presenting mixed results. Most of the empirical work, however, focuses on the responses of output and prices. Given the key role it plays in the transmission of monetary policy and the relatively scarce studies on the subject, this paper centers the analysis on the dynamics of the markup. Recent empirical findings suggest that, even when the New Keynesian models are not able to reproduce such dynamic, the markup decreases in response to a monetary policy tightening shock. This paper, by putting forward a local projections approach and analyzing the response of the markup during the period 1990m2-2016m12, argues that the dynamic of the markup may depend on whether the monetary policy tightening shock takes place during a period of expansion or recession. In this latter case, for instance, the New Keynesian model seems to do a good job, suggesting that only tightening mistakes may be successfully addressed within the basic New Keynesian framework.

This paper seeks to quantitatively assess the key role of the three components of heterogeneity in open economies, namely the consumption gap between hand-to-mouth and Ramsey households, the consumption dispersion between Ramsey households and the existence of a fixed share of the two groups of households (HANK model) in the conduct of monetary policy in Europe and the US, as the two economies trade with each other. Using Bayesian estimation techniques, we estimate three models, a model with representative agents (RANK model), a model with heterogeneous agents so that the share of the two groups of households remains constant over time (TANK model) and the HANK model. We conclude that the HANK model plays a key role in the conduct of monetary policy in Europe and the United States and in the mitigation of cycles and fluctuations. The American economy is more sensitive to heterogeneity than the European one, because the differences in parameters between the models are greater in the USA than in Europe. Coordination between the two central banks on price stability always reveals that the HANK model attenuates fluctuations more than the other two models.

We explore whether marginal Q and investment fluctuate due to revisions in expected marginal profits or discount rates, and by how much of each. We infer marginal Q from the marginal cost of investment, derive a present-value relation, and conduct a VAR-based variance decomposition for marginal Q. We find that discount rates (expected investment returns) drive the bulk of fluctuations in average Q and investment in the time series, but play no role in driving the cross-section of portfolios' average Q and investment. That is, marginal profits are the sole determinant of the cross-section of marginal Q and investment.

This paper studies the response of firms’ research and development (R&D) expenditure to monetary policy shocks in the US economy. Empirical results suggest that a 20 basis point increase in the interest rate decreases the aggregate R&D expenditure by 0.6 percent. Using Compustat firm-level data, I confirm that a monetary contraction leads to a persistent decline in US firms’ R&D expenditure. The effect on R&D expenditure is stronger for interest rate hikes and when firms face higher uncertainty. This is because economic uncertainty decreases firms’ leverage ratio and makes them more financially constrained, rendering R&D investment more vulnerable to contractionary policy shocks. I build a medium-scale DSGE model with endogenous output growth and financial frictions to interpret the empirical findings. The theoretical model highlights the importance of the credit channel for altering the effects of monetary policy on firms’ investment in R&D in the presence of economic uncertainty

This paper shows that the impact of credit supply on economic activity is conditioned by banks’ equity distribution. Using a myriad of publicly available data on bank’s balance sheet, and mortgage and business lending from the United States, we offer novel empirical evidence on how changes in the level of bank equity affects the impact of credit supply on economic activity. Our results show that areas exposed to lenders with high level of bank equity experience high levels of economic growth and employment. We also construct a quantitative model that rationalises this empirical evidence by showing how aggregate lending is influenced by banks’ equity distribution. Our model shows that the higher the bank equity exposure of an area is, the more credit supply is provided to the area. While the model shows that banks’ equity distribution matters for understanding the impact of mortgage credit on economic performance, it does not have the same explanatory power to explain the impact of business credit on economic growth, which may be more influenced by risk-return trade-off decisions.

Economic logic posits that a bank’s stock price should contain the relevant information about its financial health. For this reason, bank depositors may anchor their withdrawal decisions on their bank’s stock price in situations of financial stress. In doing so, the mere inference of “bad news” from the bank’s stock price can trigger a self-fulling bank-run. However, if the bank’s shareholders anticipate that depositors’ withdrawal behaviour may depend on the bank’s stock price, would “bad news” still be reflected in stock prices? Recognising this, would depositors still rely on stock prices to draw inferences about the bank’s health?

What is the compliance effect of experiencing a tax audit? Empirical studies typically report a positive effect, while laboratory experiments frequently report a negative effect. We show experimentally that whether a tax audit increases or decreases subsequent compliance hinges on the balance of learning opportunities, misperception of audit risk, and the confounding effect of censoring. After an audit, taxpayers lower their perceived risk of audit – consistent with a bomb-crater effect – when audit selection is exogenous. However, for an endogenous audit rule under which taxpayers can learn to reduce their audit risk by reporting higher income, learning effects outweigh probability misperception, resulting in an increase in post-audit tax compliance. Finally, we show that accounting for censoring effects can eliminate on its own the negative post-audit compliance effect frequently observed in laboratory experiments.

Support for welfare system is conventionally measured by two different concepts. One focuses on people’s approval of redistribution principles and aims to capture citizens’ acceptance of a welfare state arrangement or some of its constitutive parts (i.e., specific welfare programs). Second option is more general and captures to what degree citizens trust the institutions and their main representatives. Both concepts – support for redistribution and political trust – inspired two broad streams of literature and thus it is surprising that the research has brought them together only to conclude that they have little in common (Svallfors 2002). This paper argues otherwise and proposes a theoretical argument that material circumstances constitute the common denominator impacting two distinctive supports for welfare system in a mutually exclusive way. As people are becoming wealthier, they are decreasingly willing to share their “well-deserved” resources, while their political trust increases possibly because they believe that the current political representation contributed to the improvement in their lives. On the other hand, as people are getting poorer, they tend to blame, and hence distrust the government, while their support for redistribution rises because it improves their own situation. This theoretical proposition is supported via several empirical tests. First, the very existence of these two opposite tendencies across various political systems is demonstrated via the cross-sectional European Social Survey data. Second, the internal validity of the role of material circumstances in people’s political trust and redistribution preferences is supported via analyses utilizing three wave panel surveys conducted in Norway and Germany. These findings advance our understanding of the role of material circumstances in peoples support for welfare systems—most importantly, they imply that welfare systems can enjoy only one kind of support within the same individuals.

This paper assesses whether facilitating the digital access to healthcare services impacts healthcare utilization. We exploit the introduction of a user-friendly web portal allowing women aged 25-65 to manage online their appointments in the public cervical cancer screening program carried out by a North-Eastern Italian Local Health Unit (LHU) in November 2019. We report quasi-experimental evidence on how this intervention affected both the program participation and the ability of the LHU to collect information on women’s screening behaviour outside the program.

This paper studies experimentally the use of voluntary consumption quotas as a strategy to deal with energy shortages. We run an online experiment where subjects play a two-round Nash demand game that captures key features of electricity consumption decisions. Each player is assigned to a group of 10 players. In round 1 the total energy pool is 100 while in round 2 there is a 50% probability that the pool is halved. Players can choose to play the game or accept a quota policy that will guarantee them a given payoff per round. We test 3 different policies. The first guarantees a fixed payment of 5 while the others a fixed share of either 10% or 6% of the pool. Our results show that in the baseline treatment players usually over-extract leading to energy shortages. Moreover, in case of power cuts, players adjust their demand downwards but less than the decrease in the pool. When quota policies are offered, the majority of players accept them. However, the fixed payment has a significantly lower acceptance rate while the 10% is the most accepted. Finally, we simulate 20000 groups per treatment to check the effectiveness of quotas in reducing over-extractions. While in the baseline the outage rate is close to 100% in each round, every quota is effective in reducing the shortages. In this case, the 6% policy is the most effective in every round.

Tertiary education is largely accepted to be one of the most important determinants of lifetime earnings and, consequently, of social mobility. Despite low tuition fees and limited entry barriers, Italy and Germany show a lower level of attainment at the tertiary education level with respect to the EU average and the 2030 targets. We propose an agent-based model where agents decide whether attending university or leaving education and entering the labour market right after school. Individual preference to enrol at university will depend on (i) economic motivations, represented by expectations on future income; (ii) influence from peers; (iii) individual effort to obtain a university degree. Agents may benefit from a scholarship to pursue their university study career. The aim is to analyse the (economic) effect of the scholarship in the two countries and investigate potential differences given by their respective socioeconomic context.

In this paper, we use contribution decisions in a multilevel public goods game to investigate attitudes toward national public budgets and the European public budget in six countries members of the EU: Italy, Germany, France, Netherlands, Poland, and Portugal. The experimental design allows us to test whether and to what extent there are differences in the propensity to contribute to both national and European public goods in the six countries and whether there are differences in the degree to which each country group changes decisions when relative efficiency between the two public goods changes. Two hundred residents from each country were recruited through Prolific, and an overall sample of 1200 subjects participated in the online experiment. Overall we find evidence of the absence of marginal crowding-in, a presence of substitution effect, and a leveling-up effect. A few interesting differences emerge from the cross-countries analysis. At the same time, the control strategy gives insights into individual characteristics (e.g., feeling of belonging to a country vs. feeling of being a European citizen) associated with the choices. Attitudes toward the European budget seem to be grounded on beliefs that precede the most recent events, i.e., the COVID-19 pandemic and the war in Ukraine.

We estimate the impact of lockdown during the first wave of the COVID-19 pandemic on abortion-seeking behavior in Spain. We exploit the unexpected announcement and immediate implementation of a strict, nationwide lockdown which started in mid-March 2020 and lasted for 8 weeks. We explore two channels through which lockdown could have affected the need for and access to abortion services in Spain: limited social interactions and a potentially lower accessibility of health care services. We find evidence that due to a decrease in social interactions, the number of unwanted pregnancies conceived during lockdown fell by 45% among affected women. We do not find any effect on the supply side: neither travel restrictions nor overcrowded hospitals seem to have altered the accessibility of abortion services in Spain. In future work, we plan to explore also the third channel through which lockdown could have affected abortion-seeking behavior – the demand for abortion services.

This paper investigates how non-cognitive skills, e.g., memory, empathy, attention, imagination, and social skills – measured by personality characteristics – relate to the relative labour market performance of immigrants. Using the German Socio-Economic Panel (SOEP) and the Five-Factor Model of personality as a proxy for the non-cognitive skills, we show that these skills matter for the labour market integration of immigrants in the host country. We use two comparison benchmarks. Compared to an average native, immigrants’ non-cognitive skills, e.g., extroversion or emotional stability, can lead to 5–15 percentage points lower life-time employment probability disadvantage implying faster and better overall integration on average. Comparing immigrants and natives with the same type and level of non-cognitive skills suggests that returns of extroversion and openness to experience are higher among immigrants, leading to 3–5 percentage points lower lifetime employment probability disadvantage. These results are robust with respect to self-selection, non-random returns to the home country, stability of personality, and estimators. Our detailed analysis suggests that non-cognitive skills (especially extroversion) are substitutes for cognitive skills (e.g., formal education and training) among low educated immigrants, while there is no significant relative return of non-cognitive skills among highly educated immigrants.

Is in utero exposure to testosterone correlated with health and healthy lifestyle? Does religiosity have a non-linear effect on illness? We will discuss these research questions in close connection to our previous findings. In the past, using a large sample of individuals from the RMLS-HSE longitudinal survey, we observed clear links between a prenatal testosterone biomarker - measured 2D:4D digit ratios - and the levels of education obtained by men. Statistically significant positive associations of 2D:4D (lower prenatal T) with higher levels of education were found using difference generalized ordered logistic regressions. Moreover, using the same survey, we found that lower digit ratios (higher T) correlated with higher wages for women and for men. There was also some evidence of a potential non-linear, inverse U-effect of digit ratios on wages but this was sensitive to the choice of specification. These findings were consistent with earlier work on prenatal T and success in careers Coates et al. (2009) but inconsistent with the work of Gielen et al. (2016) who found differing effects for men and women. Besides, in our recent work Bryukhanov & Fedotenkov (2021), we documented a strong and causal relationship between religiosity and life satisfaction. Analogous identification strategies can be applied to health outcomes in causal and comparative context. (Paper 1, Paper 2, Paper 3)

Join ZOOM meeting (pass code j2UhB7)

The study of how paternal absence due to circular migration affects the socio-emotional skills of children left behind is complicated by the potentially offsetting effects of fathers’ absences and remittances. To isolate the effect of a father’s absence, this paper focuses on remittance-receiving households and compares children whose fathers were at home with children whose fathers were still working abroad. Using data from a parent-child linked survey and experiment conducted in Fall 2019 in the Ternopil region of Ukraine, this paper finds evidence of the negative effect of a father’s current absence on children’s perseverance skills. Overall, this result suggests that circular migration is not necessarily a “triple-win” solution that benefits all involved parties. Indeed it can generate unintended consequences for the development of the socio-emotional skills of children left behind if not combined with complementary initiatives aimed at providing high-quality schooling in origin countries. (Paper)

It is well established that students taught by same-race teachers improve their performance on exams. However, little is known about whether the positive impact extends beyond test scores to student non-test academic outcomes, which are known to predict student long-term success. Using the random assignment of teachers within the Measures of Effective Teaching (MET) project, I show that same-race teachers not only improve the test scores of Black students, but also increase the effectiveness of communication as reported by Black students. I find evidence supporting one of three potential underlying mechanisms of the communication effect. Specifically, I find that neither i) higher general communication ability of Black teachers nor ii) more teacher attention directed towards same-race students can explain this effect. Rather, my results suggest that the effect is driven by more effective communication between Black teachers and Black students, which aligns with the literature on culturally relevant pedagogy. Overall, the findings suggest that training non-minority teachers in using culturally relevant pedagogy may improve the performance of disadvantaged minority students in the short term as a complement to diversification of the teacher labor force. (Paper)

This paper examines the macroeconomic effects of inflation targeting in 44 emerging market economies (EMEs) during 1970–2017. We estimate a dynamic panel data model, taking into account the endogeneity of the inflation targeting regime and controlling for a variety of factors affecting macroeconomic performance in EMEs. The main findings from our empirical investigation are as follows: First, inflation targeting is associated with lower average inflation, though its favorable effects, as compared to alternative monetary strategies, are negligible; second, we provide firm evidence against the proposition that inflation targeting lowers inflation volatility. Our results are robust with respect to various modifications in the estimation procedure and to the inclusion of additional control variables (Paper).

In response to the increasing fiscal burden imposed by public-pension systems, many countries have successfully encouraged older workers to delay retirement. These career extensions may significantly affect both the hiring and firing decisions of firms and the career progression of younger workers. To study these effects, we leverage reforms in the Netherlands in 2011 / 12 that gradually increased the eligibility age for public-pension benefits across birth cohorts. Using administrative linked employer-employee data, we first show that the reforms have significantly extended careers, doubling employment rates at ages that were directly affected by the reform. Next, we show that firms respond to the career extensions by delaying hiring, and hiring fewer workers overall. Co-workers experience slower earnings growth over the period of career extensions, which is mainly attributable to a reduction in hours worked rather than lower hourly wages, but their separation rates from the firm are not affected. We support these findings with a descriptive analysis of an earlier Dutch reform in 2006, which reduced the share of older workers taking up early retirement and reveals similar dynamics.

The findings from prior studies on the impact of low-stakes monitoring (monitoring unaccompanied by explicit incentives or punishments) on student achievement in developing countries are mixed. Moreover, as most of these initiatives were conducted on a small scale by non-governmental organizations, their findings may not be generalizable to large-scale government interventions. The current work investigates the educational impact of the Semaforo Escuela program – a large-scale monitoring system in Peru that conducts unannounced monthly school inspections, with the results reported to local education officials. I exploit the random variation in the selection of visited schools in the program’s first year to estimate the causal effects of low-stakes monitoring on student’s math and reading scores. Although I fail to find evidence that a monitoring visit enhances school-level student performance on average, I find that urban schools located at the bottom of the performance distribution or visited in the months preceding the exam date have a significant positive effect on reading test scores. (Paper)

We utilize a natural experiment, an education reform increasing compulsory schooling from five to eight years in Turkey, to obtain endogeneity-robust estimates of the effect of male education on the incidence of domestic violence against women. We find that husband’s education lowers the probability of physical, emotional and economic violence. Schooling lowers also the likelihood of an arranged marriage, and makes men less inclined to engage in various socially unacceptable behaviors. We show that these findings are very robust, and can be attributed to men’s education rather than to the education of their wives.

Health inequality has a significant genetic component and environments such as education can moderate the effects of genes. However, little is known about whether more years of education can effectively moderate the relationship between genetic conditions and severe contemporary diseases and medical conditions. I use UK Biobank data to investigate the relationship between education, genetic endowment, and four health conditions: heart attack, cancer, stroke, and type-2 diabetes. To avoid the potential endogeneity of education, I focus on the long-term health consequences of a 1972 increase in the school-leaving age (ROSLA). As a measure of genetic endowment, I use an index of genetic predispositions for obesity. Genetic predispositions are typically summarised by a weighted average of individual genetic markers, where weights are derived from analyses, performed on different populations, which correspond to select outcomes, such as obesity. This may skew the results of follow up studies of other outcomes, such as cancer. I introduce a two-step method that adjusts the available weights to new outcomes, and show that genetic predisposition for obesity increases the risks of the four diseases I study. The results based on my new method show that the additional year of schooling driven by the ROSLA reform diminished the importance of genetic predispositions for the risks of cancer and heart attack by 40%. The results offer new evidence on how environments moderate the inequalities in health that have been tilted from birth. (Paper)

The advent of prenatal sex diagnostic technology (PSDT) in India in the mid-eighties has made it easier for women to identify the sex of children before their birth, giving them an option to attain their desired sex composition of children without having to undergo repeated pregnancies. In this paper, we investigate the impact of this technology on mothers’ labour supply using a triple differences estimator. Our strategy combines supply-driven changes in ultrasound availability over time with plausibly exogenous family-level variation in the incentive to sex-select and son preference at the local level. We find that PSDT had a significant negative impact on mothers’ labour supply. We further investigate various underlying channels linking prenatal sex selection and mothers’ labour supply and identify two important channels: changes in fertility and increased investment in firstborn girls. (Paper)

Grade retention offers students a chance to catch up with unmastered material but also leads to less labor market experience by delaying graduation and labor market entry. This paper assesses this trade-off by using a test-based promotion cutoff in academic secondary school in the Netherlands. At the age of 28, I find no impact of retaining on final educational attainment, although retained students are later to graduate. Grade retention does lead to an annual earnings loss of about 3,100 euros (14%) at the same age. This loss is entirely due to the difference in experience created by the delayed later labor market entry, as starting earnings and earnings trajectories are not affected. Overall, there seems no benefit of grade retention for students around the cutoff.

In our work we have examined the impact of three different short time work schemes on employment during the first wave of the COVID-19 pandemic in Slovakia. We apply the difference in differences (DiD) technique comparing treated firms with its synthetic controls that simulate the pre-pandemic behaviour. The presentation covers steps in finding the best identification strategy subject to various data and methodological limitations.