Data

EPoS has funded the following data acquisitions and/or data collections:

2018-2021

2022-2025

Intergenerational Effects of Taking Care of the Elderly at Home

Type of data: Addresses of residents in the Netherlands, Household charactheristics, Personal characteristics, WIz care data, employment and wages data

Source: Statistics Netherlands

Project: A02, C01

Contact person: Katja Kaufmann, Chiara Malavasi

Research project: The aim of this project is to study how home care of the elderly affects human capital formation and labour market choices of their grandchildren. On the one hand, younger grandchildren might suffer from the decrease in time spent with their parents, who increasingly provide informal care to their own parents. On the other hand, they might benefit from additional time spent with their grandparents, either because they now live together or spend more time at their grandparents’ place. Older grandchildren might also decide to provide informal care for their grandparents, which would likely have an impact on their own labour supply and potentially their fertility choices.  

Parental Health Shocks and Young Adult Outcomes: the Role of Intergenerational Care

Type of data: Administrative data

Source: Statistics Netherlands (CBS)

Project: A02

Contact person: Anna Person

Research project: As Western populations age, more adult children face parental health challenges. Caregiving responsibilities towards parents are becoming crucial concerns for families, healthcare systems, and societies. While this care is essential for elderly well-being, it also demands significant time, energy and emotional resources. Yet, the impact of care provision on caregivers’ lives remains understudied. This study examines how unexpected parental health crises affect young adults’ decisions to form partnerships and have children. Using Dutch administrative data, we track individuals aged 15-35 whose parents suffered sudden, non-fatal health events. We compare family formation outcomes across groups experiencing parental health shocks at different ages using a staggered difference-in-differences approach. Our analysis explores mechanisms related to time allocation and mental health impacts, potentially creating cycles where delayed fertility leads to older parenthood and earlier caregiving duties in the next generations.

Age at Labor Market Entry and Gender Occupational Segregation

Type of data: Data on German Education System (2014-2019)

Source: Federal Statistical Office - the German Microcensus

Project: A02

Contact person: Anna Person

Research project: The project aims at uncovering one potential mechanism contributing to inequality of access to higher education and labor market choices. The setting is of particular relevance because, by focusing on sorting into different types of schools leading to different career decisions, allows us to account for intersecting inequalities, namely gender and socio-economic status. Formal education is arguably the most important investment for human capital development and many other later life outcomes; thus, learning how influential maturity at topical decision-making moments can be is crucial to optimize policies and interventions aimed at contrasting inequalities due to the so-called ’accident of birth’.

Divorce Law and Female Labor Supply

Type of data: German Tax Payer Panel

Source: German Statistical Office

Project: A03

Contact person: Anne Hannusch

Research project: In this project, we want to understand how alimony payments after divorce shape female labor supply. To do so, we focus on the 2008 reform of the German Maintenance Law. We developed a heterogeneous-agent life-cycle model of family labor supply, endogenous female human capital and financial transfers between former spouses after divorce. The novel ingredient in our model is heterogeneity in the generosity of alimony payments based on the duration of marriage, reflecting specifics of the German alimony law. This feature allows us to accurately reflect observed patterns in the data where certain cohorts of women reacted to the reform while others did not. Using the model, we aim to further disentangle the reasons behind these varied labor supply responses.

The impact of unemployment insurance on family risk sharing

Type of data: employment data

Source: Statistics Netherlands

Project: A03

Contact person: Yiwei Yin

Research project: Previous studies find that the unemployment of spouse increases the labor supply of the other spouse (known as “added worker effect”), because the income of the other spouse insures the family from financial risks. However, the previous findings on how families share the unemployment risks are limited to the couple level. This project aims to comprehensively investigate how family members insure the financial risks of each other. Particularly, I want to study the intergenerational risk sharing in the face of unemployment. For instance, if old parents who have not retired become unemployed, adult children may increase the labor supply, so that they can provide financial supports. Vice versa, if adult children become unemployed, older parents may increase the labor supply and postpone retirement. I will also extend the analysis to other relatives including siblings and in-laws. The goal is to discover family risk-sharing behaviors beyond couples. Second, there is no causal conclusion on how much unemployment insurance crowds out the so-called “added worker effect”. I plan to exploit a large reform on unemployment benefits cut in the Netherlands to provide some causal evidence. I expect that the unemployed will rely more on family members’ support when facing less generous unemployment insurance after the reform. By revealing whether other family members increase labor supply and reduce consumption to help one unemployed family member after this reform, this project provides causal evidence on how the social insurance programs crowd out the “added worker effect” for other family members beyond couples.

Gender Peer Effects School

Type of data: Enrollment and test data for Texas primary schools

Source: The University of Texas at Dallas Education Research Center

Project: A04

Contact person: Antonio Ciccone

Research project: This data was used for the paper "Double in Trouble: Boys and Learning in School in Texas, North Carolina, and Italy" which is in the CRC WP Series.

Neighborhood Exposure Effects and the Role of Schools

Type of data: Childcare usage and cost per child and per applicants, Secondary school tracks and exit exam test scores, Hospital visits, diagnoses, treatment and costs, Geographic coordinates, Primary school locations

Source: Statistics Netherlands

Project: A04

Contact person: Xi Lin

Research project: This study examines the role of schools in explaining long-run neighborhood exposure effects, using administrative data from the Netherlands. First, I study children who relocated across neighbourhoods during their childhood to assess the causal impact of being raised in better areas. I find significant convergence in learning outcome from birth to age 12 at a rate of 2-3% per year, occurring at a highly localised level. Second, I isolates the impacts of school quality on learning. This is achieved by exploiting the overlapping school areas, a feature of the Dutch free school choice setting. Combining both approaches in a decomposition framework, the results indicate that school quality accounts for 40 to 60 percent of the overall learning exposure effects. Notably, school quality profoundly affects children from disadvantaged backgrounds, while non-school factors predominantly influence the exposure effects for children from better-off families.

Increasing Equality of Opportunity at School Entry? Primary-Education Enrollment in the Netherlands

Type of data: Childcare usage and cost per child and per applicants, Secondary school tracks and exit exam test scores, Hospital visits, diagnoses, treatment and costs, Geographic coordinates, Primary school locations

Source: Statistics Netherlands

Project: A04

Contact person: Xi Lin 

Research project: Children in most countries are enrolled in primary education by birth cohorts. While easy to implement, this policy has two undesirable side effects from the viewpoint of equality of opportunity in der education. First, it generates random inequality of opportunity as children’s skills at the start of primary education reflect randomness in day of birth. Second, the policy fully preserves differences in skill endowments among children in the same birth cohort. We evaluate an alternative policy used in the Netherlands. Children age 4 can enter elementary school, where they receive a kindergarten education followed by a primary education. How long children are in kindergarten before being enrolled in primary education depends on their skills. Combining structural modeling and causal estimation, we evaluate this policy against a primary-education enrollment policy solely based on birth cohorts. We find that the Dutch policy improves educational outcomes for children with low skill endowments, leaving average outcomes unaffected. Counterfactual policy analysis yields that outcomes for children with low skill endowments could be further improved by an enrollment policy solely based on children’s skills.

Intra-Household Allocation of Parental Investment: Parents’ Equity-Efficiency Preferences and Belief

Type of data: Childcare usage and cost per child and per applicants, Secondary school tracks and exit exam test scores, Hospital visits, diagnoses, treatment and costs, Geographic coordinates, Primary school locations

Source: Statistics Netherlands

Project: A02, A04, C02

Contact person: Xi Lin

Research project: This study investigates the dynamics of intra-household parental investment allocations, focusing on how beliefs about the production function and equity-efficiency preferences influence time investment in children’s education. Utilizing a survey based on hypothetical scenarios, we analyze responses from parents in the Netherlands. We discover a negative correlation between parents perceived child’s academic potential and the parents’ involvement in schoolworks within families. To explain this finding, we find evidence that Dutch parents perceive higher marginal returns from investing in lower-ability children in learning-related activities and prioritize equity over efficiency among their offsprins. By linking our survey data to administrative data from the Statistics Bureau, we show that parents’ equity-focused preferences lead to a smaller gap in academic outcomes and investments among their offsprings. Our study not only sheds light on the nuanced decision-making processes within households but also offers a new perspective on equality of opportunity in the context of educational attainment.

Project on labor market tightness

Type of data: Registered vacancies and registered individuals searching for a job (Time series)

Source: Bundesargentur für Arbeit

Project: A05

Contact person: Antonia Entorf

Research project: Health and Labor Market Tightness

Withheld from Working More? Withholding Taxes and the Labor Supply of Married Women

Type of data: German Tax Payer Data

Source: Destatis

Project: A05

Contact person: Jakob Wegmann 

Research project: We document the choice of withholding tax schedules of married couples in Germany and its determinants such as relative within-household labour income and child birth. We aim at examining the role of gender norms and how withholding tax classes might give married couples additional leverage to establish conformity with traditional gender norms besides changing the relative within-household gross labour income. Furthermore, we want to investigate whether withholding taxes affect real-world economic decisions and, in particular, can partially explain the low female labour market participation in Germany.

Labor Market Structure and Outcomes

Type of data: DADS Base Tous Salariés and FICUS/FARE

Source: Secure Data Access Center (CASD)

Project: B06

Contact person: Miren Azkarate-Askasua 

Research project: The project fits my CRC project B06, Trade policy and market structure, as it aims to understand how labor market structure and institutions shape workers’ labor market outcomes and wants to offer a guide to the policy-maker in its regulation and in the design of regional fiscal policies. The project has a clear goal to address societal challenges from a macroeconomic perspective by considering aggregate effects of the labor market and is thus in line with the general CRC mission.

Regulatory Stringency, Supply Chains and Innovation in the Car Industry

Type of data: Patent Data, Supplier-Manufacturer Relationships, Share of Diesel Vehicles by Manufacturer

Source: European Patent Office "PATSTAT", MarkLines 

Project: B07

Contact person:  Johannes Gessner

Research project: Although many empirical studies find a positive relationship between environmental regulation and innovation, few provide causal evidence. In the car industry, the stringency of fuel economy or CO2 emission standards is correlated across countries, endogenous due to a powerful lobby of car manufacturers, and changes are anticipated years ahead of their implementation. Thus, correlational studies might provide severely biased estimates for the relationship between regulatory stringency and innovation in the car market.

The Cost of Long-Term Cumulative Exposure to Air Pollution: Quasi-experimental Evidence from France

Type of data: health, education, employment and demographic data

Source: Secure Data Access Center (CASD)

Project: B07

Contact person: Julia Mink

Research project: Our aim is to quantify more comprehensively the long-term societal costs of air pollution by jointly examining the effects on several dimensions of human capital, including educational attainment, wages, and health expenditures due to effects on overall health. We will study the transition of the French electricity sector from coal- and oil-dominated to nuclear power generation between the 1970s to the 1990s. This will allow us to investigate the consequences of a country-wide energy transition away from fossil fuels and to quantify the long-term and cumulative effects of a permanent decrease in air pollution concentrations. Thus, our approach is two-fold: i) a policy evaluation of the French coal-powered energy production phase-out and ii) a study of the phase-out as a natural experiment that decreases long-term average air pollution concentrations enabling us to identify the long-term, cumulative effects of air pollution exposure.

Parental Division of Labor and Temporal Flexibility: The Shift Towards Remote Work During the Covid-19 Pandemic

Type of data: employment information and exact information on the characteristics of children in a household

Source: Statistics Netherlands

Project: C01

Contact person: Lenard Simon

Research project: The goal of this project is to study how increased exibility in work arrangements can affect the intra-household division of labor, especially the division of childcare hours between parents. The findings will help us to better understand drivers of gender gaps in market and non-market labor and it will inform the design of policies aimed at reducing gender gaps in work and childcare.  

Spatially Concentrated Exposures and Financial Stability: Evidence from the Transition to Working from Home

Type of data: Transaction-level data on mortgage-backed securities and their underlying collateral pool

Source: TREPP

Project: C03

Contact person: Farzad Saidi

Research project: The COVID-19 pandemic has led to an unprecedented shift in working conditions for millions of people across the globe. Working from home constitutes a technology (adoption) shock in which firms quickly had to adopt alternative working arrangements due to lockdowns, social distancing, and other non-pharmaceutical interventions that aimed to reduce the spread of the disease. While debate is still ongoing to what extent the shift to working from home will be permanent or transitory, more and more evidence is emerging that working from home, to a certain degree, will stick. This can have significant implications for the geographic distribution of economic activity between cities within a country and may lead to the emergence of a new spatial equilibrium. This may in turn impact, in particular, the demand for commercial real estate, requiring value adjustments of securities backed by commercial real estate with potential repercussions for (financial) institutions that currently hold those assets.

Climate Change and Financial Stability

Type of data: records of property damages and crop losses 

Source: Spatial Hazard Events and Losses Database for the United States (SHELDUS)

Project: C05

Contact person: Marina Hoch

Research project: The Collaborative Research Center TR 224 considers safeguarding the stability of the financial system as one of three main societal challenges. Assessing the role of impending fatal natural disasters for the stability of the financial system closely corresponds to addressing this challenge. In line with the aim of project group C, I can exploit my model to assess potential regulations to guarantee financial stability under a worst-case scenario of climate change. My project matches perfectly with the main research in C05: Heterogeneity of households and banks regarding their exposure and vulnerability to natural disaster shocks is a crucial feature in my model. In addition, financial frictions of households impede private agents’ ability to pay mortgage rates in case of a negative income shock or a capital depreciation shock to housing quality that requires liquidity for rebuilding. 

2018-2021

Empirical Evidence on the Regional Convergence of Preferences and Beliefs Across Europe

Type of data: Air traffic data

Source: International Civial Aviation Organization

Project: A01

Contact person: Andreas Pondorfer (former member of A01)

Research project: Air links connect an unprecedented number of regions in Europe. For instance, Ryanair and Easyjet alone currently offer 3,737 and 2,004 routes. These links have democratized air travel, dramatically increasing the number of face-to-face contacts of Europeans from all socio-economic backgrounds. This project aims to understand whether and how the increase in interaction and contact across European regions has contributed to a convergence in political attitudes and beliefs (including about the EU) and a shift in ingroup/outgroup boundaries, thus eventually fostering Europe’s social integration.

Promoting Equality of Opportunity and Changing Students’ Beliefs About Returns to Effort and Education

Type of data: Collection of belief specific information on more than 6000 students in 128 schools in Chile

Source: Paper & pencil survey by the polling institution FOCUS (ESTU-DIOS Y CONSULTORÍAS FOCUS) in Chile

Project: A01

Contact persons: Fabian Kosse, Thomas Dohmen

Research project: The CRC identifies the question “How to promote equality of opportunity?” as a major societal challenge. Previous research has shown that especially students from disadvantaged families hold biased belief about returns to education in general and effort in particular. They systematically underestimate the returns to effort and education and therefore underinvest in learning effort. This creates a vicious circle: students from disadvantaged families hold negative beliefs about returns to effort and schooling, according to their beliefs they invest too little, this leads to bad education outcomes and manifests intergeneration persistence. Therefore, the aim of this project is to explore if the introduction of an affirmative action (AA) policy holds the potential to adjust these biased beliefs and thereby promote equality of opportunity.

  A Setback Set Right? The Intermediating Role of the Education System in the Event of Family Distress

Type of data: Administrative records on date of death, cause of death, date of unemployment, and cause of unemployment (due to bankruptcy)

Source: Statistics Netherlands

Project: A02

Contact persons: Renske Stans

Research project: A substantial share of children experience some type of family distress before their 18th birthday, such as parental unemployment, divorce or the death of a family member. These setbacks often are associated with a negative influence on children's educational performance, and consequently may even hamper labor market outcomes. This raises the concern that events of family distress create unequal childhood circumstances that may impede equality of opportunity. As often it will not be feasible to prevent these events from occurring, an important channel to ensure that children are still given equal chances is through the design of the education system. The way the educational setup interacts with negative life events is vital for the long-term consequences of such events. This paper investigates the importance of the education system in how the effects of family distress materializes.

Parental Beliefs About Returns to Parenting Styles and Neighborhoods

Type of data: Survey of a representative sample of over 2,000 parents in the United States on their beliefs about returns to different parenting styles and neighborhoods

Source: Online survey in cooperation with the market research company Research Now SSI (now called Dynata)

Project: A02

Contact person: Lukas Kießling

Research project: Parents are important for the development of children. Yet, not much is known about factors determining how parents decide to raise their children. This project focuses on parental beliefs to shed light on parental decision-making processes. More specifically, it studies parental beliefs about the returns to two factors affecting the development and long-term outcomes of children: (i) parenting styles defined by the extent of warmth and control parents employ in raising their children, and (ii) neighborhood quality. Previous theoretical research suggests that the economic environment (i.e., neighborhoods) creates incentives to engage in different forms parenting. As parents decide where to live and how to raise their children, it is therefore important to understand how parents perceive environments and parenting to interact.

Data Collection Initiative on Family Survey Respondents in the LISS Panel

Type of Data: Collection of information on personality, economic and social preferences, parental investments, and financial decision making in the LISS panel

Source: LISS Panel

Project: A02, C01

Contact persons: Pia Pinger, Katja Kaufmann

Research project: The aim of the data collection was to collect background information on personality and preferences for all household members (as opposed to the financial respondents, who are the focus of C01) and to provide insights into parental investments into their children's human capital, household bargaining, and time allocation within the household.

The data collection was as a collaborative effort led by Pia Pinger (A02) and Katja Kaufmann (C01); further contributors included Michèle Tertilt (A03), Thomas Dohmen and Armin Falk (A01), and Hans-Martin von Gaudecker (C01).

The Effects of Timing of Birth on Short- and Long Run Health Outcomes and Educational Achievement

Type of data: Administrative data

Source: Perined data combined with CBS data

Project: A02, C01

Contact person: Cristina Bellés-Obrero, Katja Kaufmann, Yasemin Özdemir

Research Project: We plan to investigate the effect of birth timing on short-run birth outcomes and longer-run health as well as educational outcomes using an IV strategy to address selection into month-of-birth. Moreover, this methodology will allow us to explore possible mechanisms behind the observed patterns (such as the role of infectious diseases).

Earnings Risk and Family Labor Supply

Project: A03

Contact person: Anne Hannusch

Research project: This project aims to explore how earnings risk affect the joint labor supply decision problem of spouses in the context of the German reunification. It uses administrative data from the Microcensus to document that West Germany experienced an increase in the permanent and transitory component of earnings risk during the decade following the fall of the Berlin Wall in 1989. Simultaneously, the labor force participation of married women with children increased by 30% during the same time period, while the labor force participation of married men remained constant. To what extent do married women increase their labor supply as an informal insurance mechanism against increasing earnings risk faced by the family? Does the presence of earnings risk affect the human capital accumulation of married women? Is the response of households to public policy reforms, such as increases in the availability of childcare or cash transfers, affected by the presence of earnings risk?

Fixed-Term Contracts, Fertility, and the Gender Wage Gap

Type of data: Administrative employee data of the universe of employees in the Netherlands between 2006 and 2019 in combination with Dutch register data

Source: Netherlands Statistics (CBS)

Project: A03

Contact person: Anne Hannusch

Research Project: In many European countries, where permanent workers enjoy a high level of job protection, young workers commonly receive a fixed-term contract upon entry into the labor market. Fixed-term positions act as a trial period and have a maximum duration by law. This implies that workers face two extremes at the end of such contracts: They either receive a permanent position or must leave the firm to find another employer. The latter outcome is very costly for young workers as human capital accumulation is interrupted and workers are exposed to an extended period of unstable employment. The goal of this project is to study how firms and workers interact given the duality of fixed-term and permanent contracts and how it contributes to the gender wage gap. In particular, in the context of the Netherlands, we plan to examine whether (i) fertility depends on being promoted to a permanent position, (ii) firms anticipate (i) and promote men and women differently, given equal qualifications, and (iii) women and men self-select across firms and industries due to heterogeneity in promotion rates.

Understanding the Sources of Earnings Losses: A Machine Learning Approach

Type of Data: Microdata, social security records from Austria

Source: Austrian Social Security Administration

Project: A03

Contact person: Andreas Gulyas

Research project: We document the sources behind earnings losses of job displacement adapting the generalized random forest due to Athey et al. (2019). Using administrative data from Austria over three decades, we show that displaced workers face large and persistent earnings losses. We identify substantial heterogeneity in losses across workers. The interquartile range of the estimated losses is equal to 52,000 euros, which is more than 80% of average losses. The most vulnerable are high-income, high-tenure workers employed at well-paying firms in the manufacturing sector. Our methodology allows us to consider many competing theories of earnings losses prominently discussed in the literature. The two most important factors are the displacement firm's wage premia and the availability of well-paying jobs in the local labor market, implying losses in employer specific wage components are key for the understanding of earnings losses

Time Use and Consumption During the COVID-19 Lockdown

Type of data: Collection of time use and consumption data in the LISS panel during Coronavirus pandemic

Source: LISS panel

Project: A03, C01

Contact person: Hans-Martin von Gaudecker

Research project: We collect time use and consumption data in the LISS panel during Coronavirus pandemic. The modules are adaptations of the November 2019 module, which means that we can track how time use and consumption have changed relative to before the pandemic. The data will allow us to analyse coping strategies during lockdown and how they depend on prior arrangements, the evolution of bargaining power within households, and changes in consumption along the income distribution.

The data collection was as a collaborative effort led by Michèle Tertilt (A03) and Hans-Martin von Gaudecker (C01).

Peer Effects in School

Type of data: Confidential individual student test data for all public schools of the US state of North Carolina from 1993 to 2013

Source: North Carolina Education Research Data Center (NCERDC)

Project: A04

Contact person: Antonio Ciccone

Research project: The data will be used to use the so-called birthcohort approach to estimate externalities in schools.

Research Disclosures as an R&D Output

Type of data: Text corpus of published R&D disclosures from Research Disclosure (1962 - 2022)

Source: Questel

Project: B02

Contact persons: Bernhard Ganglmair

Research project: In this project we study the content, novelty, and value of defensive publications relative to patents. We use a large language model (LLM) to apply the cooperative patent classification (CPC) system to a set of defensive publications (from 1962 to 2022) from the journal Research Disclosure, thus mapping such research disclosures and patents into a common space and allowing for a direct evaluation of textual similarities between these two types of R&D outputs.

Mannheim Privacy Policy Panel (MaPPP)

Type of data: Text corpus of German firms’ privacy policies (2012 - 2021)

Source: Internet Archive Wayback Machine

Project: B02  

Contact persons: Bernhard Ganglmair

Research project: The aim of this project is to study how asymmetric enforceability of regulatory rules affects firms’ compliance. We exploit the introduction of the General Data Protection Regulation and its transparency principle, compelling firms to disclose, in accessible language, details of their data collection and use. We measure firm-level compliance by applying linguistic measures of readability and disclosure to a large sample of German privacy policies (from before and after the introduction of GDPR).

U.S. Privacy Policy Panel for Public Firms (US5P)

Type of data: Text corpus of U.S. public firms’ privacy policies (1996 - 2023)

Source: Internet Archive Wayback Machine

Project: B02

Contact persons: Bernhard Ganglmair

Research project: Firms are known to collect user data to improve their services and user experience as well as sell the information to third parties. In this project, we study the strategic considerations behind a firm’s disclosing or concealing such different data practices. We use data traffic information from the HTTP Archive (to measure data flows from firms' website) and firms' disclosures of these data sharing practices in their privacy policies.

Disparities in Access to Cancer Treatment and Health Outcomes: Evidence From Ontario

Type of data: Patient-level administrative data in Ontario

Source: ICES Ontario

Project: B03

Contact persons: Laura Grigolon

Research project: The broad purpose of the project is to investigate disparities in access to cancer treatment and health outcomes. In particular, we would like to focus on the effect of uncertainty in the choice of therapy for cancer. Economist are concerned with the behavioral implications of uncertainty in experience good markets. Uncertainty matters when you purchase a car or buy cereals, if utility-bearing characteristics are revealed to you through consumption or use. This aspect may be particularly important in the choice of treatments because oncologists operate in an uncertain environment in terms of effectiveness and side effects.

Leveling the Playing Field Between Airbnb and Hotels: Tax Evasion, Enforcement, and Welfare

Type of data: Property level prices and occupancy of Airbnb listings and hotels

Source: AirDNA and STR

Project: B03

Contact person: Laura Grigolon

Research project: With an inventory of 2.3 million rooms, Airbnb now has more capacity than the three largest hotel chains combined. While it started as a platform for hosts to make some extra cash on the side by occasionally renting out spare rooms, multiple-unit and full-time operators are now a growing percentage of total Airbnb hosts and the company's revenue. As the nature of the business model changes, incumbents are demanding that online rivals obey the same rules that traditional suppliers are subject to. Among other issues, the hotel industry has accused the platform of facilitating the evasion of local sales and lodging taxes by hosts because Airbnb does not reveal the identity or address of hosts. While hosts have a legal obligation to collect and remit applicable taxes, the costs to local jurisdictions of locating and penalizing evaders are exorbitant. Since 2014, however, Airbnb has voluntarily entered over 275 agreements with cities, counties, and states across the U.S. to enforce those taxes. Once an agreement is reached, Airbnb becomes the tax remitter by collecting taxes on applicable transaction from renters (consumers) at the point of sale, which increases tax compliance to 100% in those jurisdictions. The project aims to exploit the variation in the introduction of these agreements to better understand the nature of competition between offline and online competitors. First, we will compare changes in prices and bookings between Airbnb and hotel suppliers whren the competitive landscape is leveled by the enforcement agreements. Second, we will measure the extent of tax evasion before the enforcement of the agreement and, therefore, the competitive advantage that Airbnb suppliers enjoy over hotels in the absence of enforcement agreements. Finally, by combining our results, we will determine how equal taxation impacts consumer welfare and the underlining market structure in the short-term accommodation industry.

Media Persuasion and Household Consumption

Type of data: Household panel

Source: Nielsen Homescan panel

Project: B03

Contact person: Felix Chopra

Research project: This project studies whether media content can affect the consumption behavior of households. To measure household consumption, data is drawn from the Nielsen Homescan panel, which tracks the expenditures of more than 100,000 US households between 2004 and 2018.

Gravity in Oligopoly

Type of data: French firm-level trade and balance-sheet data via CASD

Source: Data provided by CASD, source: INSEE, Customs

Project: B03, B06

Contact persons: Harald Fadinger, Volker Nocke, Nicolas Schutz

Research project: We use these data in a joint project between projects B03 (Volker Nocke, Nicolas Schutz) and B06 (Harald Fadinger). The research team is completed with Holger Breinlich (U. Surrey). In this project we structurally estimate export behavior in the presence of oligopolistic firms. The data allows us to estimate product-level demand elasticities and to compute firm-product-specific qualities and markups. This allows us to gauge firms’ market power in individual markets. We then use the previous information to estimate gravity models in the presence of oligopostic competition. In particular, we study how trade flows react to trade barriers, such as tariffs, once we take into account that market power (and thus markups) systematically co-vary with them. Obtaining consistent estimates of trade elasticities is highly relevant for correctly assessing welfare gains from trade liberalization and free-trade agreements. Thus, our results will be very relevant for policy makers. Moreover, we can track firms’ markups over time, which enables us to measure changes in market power in European product markets.

Empirical Evaluation of the European Union Emissions Trading Scheme (EU ETS)

Type of data: Administrative data on manufacturing firms in France and Germany

Source: CASD Secure Data Hub (France), Research Data Centre of the Statistical Offices of the Federal States (Germany)

Project: B07

Contact persons: Dana Kassem, Ulrich Wagner

Research project: The CRC identifies the question “How to regulate markets?” as a major societal challenge. Global climate change presents an urgent case for regulation, as it is caused by carbon dioxide (CO2) emissions that are released as a negative externality from fossil fuel consumption. Since 2005, the cornerstone of such regulation in Europe is an emissions trading scheme for CO2 and other greenhouse gases, the EU ETS. The aim of this project is to provide empirical evidence on how this policy has fared in terms of emissions reductions, possible adverse impacts on economic competitiveness, and incidence. To this end, the project will conduct econometric analysis based on high-quality, restricted-access microdata of manufacturing firms in France and Germany.

Intergenerational Effects of Old-Age Pension: Evidence From Dutch Administrative Data

Type of data: Administrative data

Source: CBS data

Project: C01

Contact persons: Katja Kaufmann, Yasemin Özdemir, Han Ye

Research Project: In this project we analyze the importance of grandparents' labor supply spillovers on maternal labor supply and other outcomes including effects on the third generation making use of a policy change which increases the costs of early retirement.

Measuring Beliefs and Ambiguity Attitudes About the Stock Market

Type of data: Microdata, incentivised survey questions in an Online Panel

Source: LISS panel (CentERdata)

Project: C01

Contact person: Hans-Martin von Gaudecker

Research project: The purpose of our ongoing data collection is to generate new insight into household financial decision-making relating to the stock market. Since May 2018, we have been eliciting ambiguity attitudes about stock market returns twice annually, using the incentivised design of Baillon et al. (Econometrica, 2018). This design allows us to disentangle subjective beliefs about returns from ambiguity about the market resulting from its inherent uncertainty, and thus sheds new light on household investment choices. Together with data on risk preferences, cross-sectional variation in the measures we collect allows us to go beyond existing models of portfolio choice in explaining why some households place a greater share of their savings into stocks than others. Once we have fielded sufficiently many survey waves, we will be able to investigate the evolution of stock market beliefs and ambiguity attitudes over time. This will help us understand the potential impact of policies such as improving financial literacy on households' financial decisions, as we will be able to analyse how stock market beliefs and attitudes adapt in response to new information.

Exchange Rate Expectations and Expected Interest Rate Spreads

Type of data: Data on exchange rate and interest rate expectations for dozens of developed and developing economies

Source: Data provided by FX4cast

Project: C02

Contact persons: Husnu Dalgic

Research project: The first project is on providing evidence on how market participants form exchange rate expectations. I am going to analyze exchange rate forecast patterns in countries with different monetary policies. Literature documents that the real exchange rate (defined as the nominal exchange rate divided by price level) mean reverts in 1-2 years, which means that deviations in real exchange rate are eventually corrected. The correction can either come from the nominal exchange rate or the price level. In economies with inflation targeting monetary regimes, price level is stable and it is documented that the correction comes from the nominal exchange rate. Then, real exchange rate movements have predictive power on the nominal exchange rate. With a comprehensive data on expectations, we can test whether real exchange movements change expectations on the path of the nominal exchange rate. The second project involves using interest rate data combined with the exchange rate expectations to construct expected interest rate spread in emerging markets. The spread that we construct is the return to carry trade, borrowing in dollars and investing in emerging market currencies. Then, we can analyze the determinants of expected returns to carry trade. Positive expected returns are likely to be associated with higher capital flows to emerging markets. Both projects aim at guiding policymakers about the role of policy instruments as well as macro variables on the formation of market expectations of exchange rates, capital flows and interest rates.

Transmission Channels of Monetary Policy 

Type of data: High frequency data of financial prices (federal fund futures, Eurodollar futures, Eonia swaps, S&P 500, EuroStoxx 50, DAX 30, EUR-USD and DM-USD exchange rates), corporate bond data (Mergent FISD)

Source: Chicago Mercantile Exchange, Thomson Reuters, Wharton Research Data Services

Project: C02

Contact persons: Matthias Meier, Timo Reinelt

Research project: This includes two CRC projects that both investigate transmission channels of monetary policy. In the first project, we investigate the role of markup dispersion for monetary transmission. Markup dispersion reflects misallocation of factors across firms, which can explain fluctuations in aggregate productivity. Using high-frequency data, we construct an up-to-date set of monetary policy shocks. We then document that markup dispersion responds to changes in monetary policy and that this response matters for understanding the effects of monetary policy for aggregate productivity. We further show that heterogeneous price rigidity can theoretically explain the evidence and is supported empirically. In the second project, we study the role of debt maturity for monetary transmission. Using corporate bond-level data, we show that firms with debt maturing at the time of monetary tightening invest significantly less than other firms. Building on the evidence, we develop a New Keynesian model in which firms are subject to idiosyncratic shocks and can finance themselves via equity, short-term and long-term debt. We use the model to understand the channels behind the empirical evidence and the implications for monetary policy.

Parental Divison of Labor and the Shift Towards Remote Work

Type of data: Merged survey and administrative data

Source: LISS Panel and CBS Admin Data

Project: C05

Contact person: Lenard Simon

Research project: In this study, we analyze how the parents of young children react to the change in working conditions during the COVID-19 pandemic using representative panel data from the Netherlands spanning four waves from 2019 to 2021. We find that over the course of the pandemic, fathers increase childcare hours leading to a more egalitarian division of childcare between parents. We show that this change can be fully accounted for by fathers gaining asymmetrically more temporal flexibility through the shift to remote work accelerated by the pandemic. Additionally, we find evidence that mothers whose spouses have remote work possibilities increased their working hours over the course of the pandemic. Our results provide evidence that part of the unequal division of labor within families with respect to market and non-market work is driven by an asymmetric distribution of temporal flexibility. This asymmetry can be the result of joint household optimization when temporal flexibility in jobs is necessary for childcare provision but punished in terms of remuneration. In particular, our results suggest that if remote work becomes more widely accepted by employers, the division of non-market work within households can become more equal in the long term – even without a shift in norms or preferences.

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