Research Seminars

This article deals with the revealed value of volunteering. The revealed value approach is one way to determine the value of non-market goods or services. Most studies focused on the value of volunteering have built their research on the presumption that there is no way to reveal the value of volunteering, and therefore proxies must be used. This research uses a plausibility probe case study to explore and identify revealed information about the value of volunteering. The research was conducted using data over a seven-year period (2012–18) from ADRA, a large volunteer centre network in the Czech Republic that has 14 volunteer centres coordinating more than 2,500 volunteers in about 50 cities. I used the data about all the public funding of all the centres in this network between 2012 and 2018 in order to calculate the revealed value of volunteering from the perspective of various governmental institutions. I calculated the total value of volunteering, including financial grants, donations, and the value of volunteer hours. Interestingly, all three values were found within or slightly around the interval estimate of the value of volunteering.

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You can attend the seminar in person or via MS Teams.

Abstract: It is a standard practice to explain future stock returns by factors such as size or value premium. But the history of systemic events that led to asset bubbles and the advances in the behavioral finance field emphasized the importance of another factor influencing stock returns -- sentiment. Focusing on the direct survey-based measures of sentiment, we collect 1311 estimates from 30 primary studies to conduct the first meta-analysis of the underlying relation shedding light to ambiguous outcomes of current empirical literature. Our results suggest that there is non-negligible and negative relationship between sentiment and stock returns. In majority of specifications researchers tend to report this effect much stronger than it actually is but we also found presence of positive publication bias driving the results to less negative or even positive area. We reveal that sentiment effect is significantly stronger when flowing from individual investors compared to large institutions or when affecting stock market in US compared to Europe. Further, the effect also depends on several data and model characteristics. Finally, we propose implied estimates that may help to enhance predictive power of stock market models, but also conducting stress tests of financial markets and assessing risks to financial stability. Our results might be applied to specific pairs of survey-based sentiment and return series, but in general, we quantified the average effect of one unit increase in sentiment on monthly returns to be -0.54pp.

Authors: Zuzana Gric (ČNB, MUNI),  Josef Bajzík (ČNB, IES FSV UK), Ondřej Badura (VŠB)

The research seminar will be streamed on MS Teams: Link HERE

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Abstract: Can information provision reduce the risks associated with irregular migration? We address this question conducting a large-scale experiment with about 7,000 secondary school students in Guinea. Combining aggregate statistics and video-testimonies by migrants who settled in Europe, we study the effect of three information treatments: (i) about risks and costs of the journey; (ii) about economic outcomes in the destination country; and (iii) a treatment pooling (i) and (ii). We find that one month after the intervention, all three treatments affect beliefs about risks and economic conditions. However, 1.5 years after the intervention, only the first has a significant effect on migration outcomes: providing information about the risks and costs of the journey reduces international migration by 49%. The effect is driven by a decrease in migration without a visa (i.e., potentially risky and irregular). Furthermore, the reduction is bigger for students who at baseline underestimated the risks connected to international migration.

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This paper studies the effects that connectivity and centralisation have on the response of interbank networks to external shocks that generate phenomena of default contagion. We run numerical simulations of contagion processes on randomly generated networks, characterised by different degrees of density and centralisation. Our main findings show that the degree of robustness-yet-fragility of a network grows progressively with both its degree of density or centralisation, although at different paces. We also find that sparse and decentralised interbank networks are generally resilient to small shocks, contrary to what so far believed. The degree of robustness-yet-fragility of an interbank network determines its propensity to generate a too-many-to-fail problem. We argue that medium levels of density and high levels of centralisation prevent the emergence of a too-many-to-fail issue for small and medium shocks whilst drastically creating the problem in the case of large shocks. Finally, our results shed some light on the actual robustness-yet-fragility of the observed core-periphery national interbank networks, highlighting the existing risk of systemic crises.

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Online stream in Microsoft ​Teams

How do societies respond to epidemic crisis in both stated political preferences and revealed health-related behavior? To answer this question, we link overmortality during the 1918-influenza to the political support of compulsory vaccination and to real vaccination behavior before and after the 1918-flu. We rely on the 1922 popular vote in Grisons when Grisons’ voters have to decide about compulsory vaccination in their canton. We find that a 1% higher overmortality during the 1918-flu reduces the support of the compulsory vaccination bill by almost 3%. The results are robust to different specifications regarding the definition of flu-affectedness, the inclusion of regional fixed effects and socio-economic variables. Other popular votes, by contrast, do not correlate with overmortality neither before nor after 1918. We are now digitizing real vaccination behavior at the municipality level using smallpox vaccination reports from 1907 to 1933. We aim to show whether revealed health-related behavior differ from the political statement by investigating a potential shift in vaccination abstinence after 1918. We further aim to distinguish among two potential channels to explain the results – cognitive dissonance and mistrust into experts or the government. The results might improve our understanding how epidemics might shift a society towards ignorance and mistrust into experts. Parallels to the COVID-19 epidemic show that part of the population are still acting ignorant today as our ancestors have done so 100 years ago.

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Abstract: Experimental studies have modeled individual funding of social projects as contributions to a threshold public good. We examine contributors’ behavior when faced with multiple threshold public goods and the possibility of coordinating contributions via an intermediary. Employing the experimental design developed in Corazzini (2020), we vary both the size of a ‘destination rule’, which places restrictions on the intermediary’s use of a contributor’s funds, as well as the overhead cost of the intermediary, modeled as a sunk cost incurred by the intermediary whether or not any public good is successfully funded. In an online experiment with live interaction, we show that subjects behave in line with equilibrium predictions with regard to the size of the destination rule, only increasing their contributions when there is no threat of expropriation by the intermediary. However, we find that the positive effect of a high destination rule is undone in the presence of overhead costs for the intermediary. While this is in direct conflict with the theory that predicts no role of such costs, it is in line with the sunk-cost bias as well as the phenomenon of ‘overhead aversion’ that is commonly exhibited by donors when selecting charities.

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This study examines the unintended consequences of immigration enforcement policies on children’s human capital. Exploiting the temporal and geographic variation in the enactment of immigration enforcement policies, we find that English language proficiency of U.S.-born children with at least one undocumented parent is negatively affected by the introduction of immigration enforcement laws. We show that the reduction in children’s English proficiency are caused by changes in parental investment behavior. Increasing fear of being detected and deported leads undocumented parents to substitute children’s time in formal non-mandatory pre-school education with parental time spent at home. We find evidence that parental time investment is not as productive as time spent in pre-school. These developments lead ultimately to a reduction in children’s human capital. 

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TBA

TBA

We discuss the effects of offshoring on the labor market in a matching model with endogenous adjustment of educational skills. We carry out a comparative statics analysis and show that offshoring leads to a restructuring of the economy through skill-biased technical change (SBTC) where overall welfare is improved. In a policy exercise we show that, if offshoring were to be opposed by a protectionist agenda, labor market flexibility can bring about the same welfare gain. In addition, we offer an empirical analysis aimed at verifying the correlation between offshoring and SBTC in US manufacturing industries in recent years. Our results show that different offshoring strategies affect SBTC differently. In particular, the evidence suggests that while high-skill offshoring strategies open the skill gap, low-skill offshoring strategies tend to work in the opposite direction.

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Have you ever wondered how are colonies of ants able to efficiently search for food, birds or fish collectively defend themselves against predators by forming flocks or schools, and why crowds of people behave like a fluid? Recent advances in automated tracking technology resulted in high-resolution recordings of individual trajectories and behavior of groups, often complemented by identification of stereotypical behaviors. But the main hurdle still remains to be data analysis and inference of informative models. I will talk about a class of probabilistic models, which is general enough to apply to a broad range of systems, incorporating individual and collective behavior, spatial and temporal dependence, discrete and continuous variables, deterministic and stochastic components and internal cognitive or behavioral state dependence. Our approach has two desirable features: (1) the maximum likelihood inference is tractably solvable by gradient descent, (2) model selection can be used to adjust model complexity to data. Multiple toy/real examples will be shown during the talk.​

This paper studies the origins and consequences of the Russian Mafia (vory-v-zakone). Using a web scraping method, I obtained a unique dataset that contains detailed biographies of more than 5,000 mafia leaders operating in 15 countries of the (former) Soviet Union at some point between 1916 and 2018. Using this data, I first show that Russian Mafia originated in the Gulag - Soviet system of forced labor camps which housed around 18 million prisoners between 1920s-1950s. Second, I document that the distance to the nearest camp is a strong negative predictor of mafia presence in Russia's communities in the mid-1990s. Finally, using an instrumental variable approach which exploits the spatial distribution of the gulags, I examine the effects of mafia presence in mid-1990s on local crime and violence. In particular, I show that the communities with mafia presence experienced a dramatic rise in crime driven by turf wars which erupted among rival clans around 1993 and lingered on until the late 1990s. This is suggested by a sharp increase in attacks against members of Russia's economic elite in places under mafia control.  Further heterogeneity analysis reveals that mafia presence led to a spike in violence against businessmen, fellow criminals, as well as law enforcement officers and judges, while the attacks against politicians remained unaffected.

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In a 1-year randomized controlled trial involving thousands of university stu- dents, we provide real-time private feedback on relative performance in a semester-long on- line assignment. Within this setup, our experimental design cleanly identifies the behavioral response to rank incentives (i.e., the incentives stemming from an inherent preference for high rank). We find that rank incentives not only boost performance in the related assignment, but also increase the average grade across all course exams taken over the semester by 0.21 standard deviations. These beneficial effects remain sizeable across all quantiles and extend beyond the time of the intervention. The mechanism behind these findings involves social learning: rank incentives make students engage more in peer interactions, which lead them to perform significantly better across the board. Finally, we explore the virtues of real-time feedback by analyzing a number of alternative variations in the way it is provided.

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We study a real effort environment, where a delegator has to decide if and to whom to delegate a task. Delegating to a person who is better at the task increases welfare. Potential delegatees send cheap-talk messages about their past performance before the delegator decides. We experimentally test the theoretical prediction that information transmission cannot occur. In our experiment, we vary the message space available to the delegatees and compare the information transmitted and the level of efficiency. Depending on the treatment, the sender can either submit a number indicating how many tasks she solved previously, an interval in which the number of tasks falls, or a free text message. We observe that messages contain information in all treatments. Interestingly, information transmission occurs only in the treatments where messages are intervals or free text but not if messages are exact. The highest efficiency is obtained in the free-text treatment, as delegators are able to extract information contained in the different styles of messages sent by subjects with different abilities.

In credence goods markets, experts have better information about the appropriate quality of treatment than their customers. Experts may exploit their informational advantage by defrauding customers. Market institutions have been shown theoretically to be effective in mitigating fraudulent expert behavior. We analyze whether this positive result carries over when experts are heterogeneous in their diagnostic abilities. We find that efficient market outcomes are always possible. However, inefficient equilibria can also exist. When such inefficient equilibria are played, a larger share of high-ability experts may lead to more inefficiencies relative to the efficient equilibria.

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Over the last years, the use of experimental research has received an increasing attention from Management academics and journal editors. While experimental research is popular among social psychologists (actually my background) it is still rare in the field of International Human Resource Management. The objective of this seminar is not to explain how to design an experimental research, but instead, present my own experience of using experimental designs to answer a few common questions in the management and business fields, such as: (1) Does the academic performance (GPA) and the participation in extracurricular activities (ECAs) affect the perceived employability of business graduates? (2) Does the effect of GPA and ECAs vary with the characteristics of the respondents and the cultural context? (3) Does a facultative internship affect the perceived employability of marketing graduates? What about the effect of an international versus a domestic facultative internship? (4) Does the use of a facial piercing influence the perceptions of interpersonal attraction, confidence and job suitability of hospitality receptionists? Starting from my first published paper (Pinto & Ramalheira, 2017) employing an experimental design, I then illustrate how this method was applied more broadly to examine the perceived employability of business graduates in other cultural contexts (e.g. China, Brazil, Italy) and to advance research in other fields, such as hospitality management, higher education and leadership. The seminar ends with a discussion of the challenges and learnings from employing (quasi) experimental designs.

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Reporting a peer’s wrongdoing to an authority is a morally controversial decision: re-porting will likely result in a punishment for the peer (and harming others is unethical), but the punitive action might prevent further harm to the victims of the misconduct (which justifies reporting on a moral ground). A policymaker might want to encourage the solution of this moral dilemma in the direction of reporting, through financial incentives. Yet, material incentives sometimes backfire, especially in domains involving moral concerns. Using a field experiment with employees of the Ministry of Education in Afghanistan who are asked to confidentially report their colleagues’ absence, I show that reporting is lower among participants who are offered a monetary reward for their reports. This is the case, however, only for participants who expect their reports to be consequential (making their choice morally-charged). Among employees who are told instead that their reports are inconsequential and won't result in any penalty for their peers (making the choice more morally-neutral), incentives do not backfire.

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Abstract: OECD and other international organizations have been very keen in recommending principles and institutional safeguards to curb corruption and to enhance transparency and integrity in public procurement. Despite the fact that Portugal is being considered a good example of e-procurement policies and practices among European countries, this is a very sensitive issue.
Based on the the literature that provides evidence of a politicized administration of public procure- ment contracts, but limited to a specific municipality, this paper extends the analysis of political effects to other municipalities. Specifically, it asks if there is a relation between the political parties in power in a given municipality and the frequency of contracts awarded to a given firm?
Our results show that for political reasons private firms are more likely to win a contract in a given municipality if they have already won contracts in other municipalities led by the same political party. We rely on a dataset (’base.gov’) with information on all bids by private firms and all contracts awarded by the 308 Portuguese municipalities in the period between 2008 and 2017. This includes three electoral cycles and more than 250,000. The empirical results - the political proximity - is robust to a number controls, including geographic proximity. This result has political and public governance implications.

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Foreign-born individuals come with different health needs and different level of vulnerability. In the public debate today, immigration is often viewed as a threat to the access and the quality of health care services. The health needs of immigrants and refugees pose new challenges to health care systems. We discuss the main findings of the effects of immigration on demand and supply of health care in host countries. Moreover, immigrant inflows could have large effects on labour markets which can in turn affect natives’ health and their demand for health care. Understanding the health trajectories of immigrants are paramount to provide a correct assessment of the costs and benefits of migration.

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There is increasing acceptance of the role played by mood in decision-making. However, the evidence of mood effect in the field, as proxied by external factors such as weather and weekday, is limited. Using two large datasets containing all car inspections in Sweden and England during 2016 and 2017, we study whether inspectors are more lenient on days when their mood is predicted to be good, and if car owners exploit this mood effect by submitting lower quality cars to be inspected on these days. Different sources of good mood are studied: Fridays, last working days before public holidays, paydays, sunny days, and days following major sports results, in a decreasing order of the car owner’s ability to plan for inspection, and hence the likelihood of selection bias. We find limited evidence to support the existence of mood effect in this domain, despite survey results showing belief to the contrary. In Sweden, failure rate is in fact higher on Fridays and last days before holidays, suggesting that the selection effect is stronger than any mood effect.

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This paper focuses on the relationship between experimentally measured willingness to compete and field data. Our sample consists of more than 1500 Swiss compulsory school students from the whole ability distribution. We elicit their willingness to compete in one of two tasks which differ in associated gender stereotypes. We relate our experimental measure to field data on ability and to students' choice of post-compulsory education. This enables us to make contributions in three directions. 1. We examine how willingness to compete varies with field-measured ability and whether this differs by gender. 2. We investigate the relationship between gender, willingness to compete and study choices along the whole ability distribution, in a comprehensive framework that includes specialization options both in the academic and the vocational track. 3. We examine whether the results depend on the task that is used to elicit willingness to compete. Our main findings are: 1. High-ability boys are more willing to compete than low-ability boys while the relationship between ability and willingness to compete is flat for girls. 2. Willingness to compete predicts choices both of academic specializations and of vocational careers. 3. The results are similar across our two experimental tasks.

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In recent years, there has been growing opposition against the principle of free movement of labor within the EU. Criticism is often based on the belief that immigrants hurt residents' employment opportunities. Despite these discussions, there is little ex-post research on the impact of the increased immigration after the EU enlargement on old Member States' labor markets. In our paper, we first provide a descriptive analysis of employment from the new EU Member States in the Austrian labor market with a focus on the period around EU entry and free labor market access. Second, we exploit the observed patterns in immigration from the EU8 countries to identify the causal effect on workers and firms in the Austrian border region. More precisely, we use variation in the EU8 worker density across communities over time and over the distance to the closest EU8 border. We find that the share of EU8 employees among all employees in Austria increased by a factor of four from 1997 to 2015. With free access, we see a shift in the composition of migrants toward lower-qualified and younger groups. We can further show that the largest inflow of EU8 employment occurred in communities closer to the border.

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This paper provides strong evidence supporting the long-standing speculation that decision-making in groups has a dark side, by magnifying the prevalence of anti-social behavior towards outsiders. A large-scale experiment implemented in Slovakia and Uganda (N=2,309) reveals that deciding in a group with randomly assigned peers increases the prevalence of anti-social behavior that reduces everyone’s but which improves the relative position of own group. The effects are driven by the influence of a group context on individual behavior, rather than by group deliberation. The observed patterns are strikingly similar on both continents.

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This paper illustrates how a historical shock to political preferences can translate into observable electoral support as the political landscape evolves. During World War II, the Third Reich annexed the French eastern borderlands and their inhabitants were forcibly conscripted into the Wehrmacht.
In the first stage, survey data evidence is used to show how this forced conscription reduced political trust, affecting policy preferences. The data is then used to estimate the impact of conscription on municipality-level support for radical candidates and on abstention in elections during the 1965-2017 period. Identification exploits the fact that different birth cohorts were affected in each annexed region by using eligible births as an instrument for conscription. In earlier elections in which platforms were more similar, both radical and moderate candidates were penalized in municipalities where more men were conscripted, resulting in higher abstention. In more recent elections which were more polarized, conscription increased support for radical candidates.

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We investigate how New York City taxi drivers respond to positive changes in labor demand. Exploiting high-frequency variations in taxi demand due to subway service disruptions, we show that drivers work more when earnings opportunities are greater. We also explore whether income-targeting affects drivers’ behavior. Results show that drivers’ response to demand shocks is 40% smaller once they have reached their daily income target. Overall, while drivers’ behavior seems largely consistent with the standard model of labor supply, the large difference between below-target and above-target responses suggests that targeting behavior does nevertheless play an important role in determining drivers’ decisions.

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This paper analyzes the link between effort and distributive preferences in an environment, in which effort does not affect the amount to be distributed. We propose a model that suggests that such a link is bidirectional. People adapt their distributional choices to their performance in a self-serving way, but they also exert effort in line with their distributive preferences. The literature has documented a link running from effort to distributive preferences. We provide evidence of the reverse relationship: individuals who make egalitarian choices later make less effort than people who behave selfishly. Our results thus provide one explanation for self-serving assessments of fairness documented in the literature and place distributive preferences among the determinants of effort and productivity.

Abstract: In this project, we aim to experimentally examine the trade-off between the loss of information and the loss of control that arises in organizations when subordinates are granted decision-making authority. Employees' discretion over the choice of a project is often justified in that it may allow the organization to make use of the employee's superior information about the right course of action. These benefits may be undermined by (i) the existence of a conflict of interest between the employer and the employee; (ii) the parties' inability to write a complete contract. The employer may be concerned about the loss of control, which arises when the employee abuses his authority to make decisions that are not in the best interest of the organization. The organizational optimal response will be that of limiting the agent's discretion, thereby giving rise to a loss of information, namely in some occurrences, the organization cannot make use of the agent's superior information. We argue that limiting the employees' discretion may signal the employer's distrust and may bring about a non-material loss to the employees, making them willing to retaliate by making suboptimal choices. Anticipating this, the employer may decide to grant the employees full discretion, signaling her trust in the hope that the employees will pursue the common good.
(Joint work with Philip Brookins, Claudia Cerrone and Alessandro De Chiara.) 

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Abstract: The effects of research and development (R&D) subsidies on patenting are heterogeneous in nature. Moreover, endogeneity caused by a multi-step selection of grant applicants makes empirical evaluation difficult. We use a unique dataset on the evaluation of grant applications and a novel instrumental variable identification strategy, which originates from the grant evaluation process. WE estimate the causal effects of R&D subsidies in the Czech Republic over 2011-2014 on patenting in the next three years. We exploit the random assignment of experts, who evaluate grant applications, and their leniency to give higher scores as an instrumental variable. As a result, we show that R&D subsidies have a strong positive mid-term effect on the propensity to apply for patents and the number of patent applications. R&D subsidies lead to the patent applications of higher quality, i.e. firms are more likely to apply for patents of invention than utility models. The main findings are driven to a large extent by firms with higher prior research intensity.

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We provide a new measure of work motivation and show that motivation shapes the effects of team incentives and observation by peers on performance. In particular, we measure motivation to work hard as the deviation from the money-maximizing benchmark in a real-effort experiment. While we find that average output increases in response to team incentives and observation, we find that highly motivated workers do not respond. The reason is that highly motivated workers already work hard and increasing effort even further is very costly to them.

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