The Renaissance Economist – Research Revelations from a Rockstar of mine

Post by BSE Alum Nils Handler ’18 (International Trade, Finance, and Development Master’s Program)

Anxiously I was awaiting our meeting to begin, equally enthused by the prickling curiosity of what I was about to learn while simultaneously filled with an intimidating level of respect considering whom I was about to meet. Given how much I had read, heard and thought about his research while at the Barcelona School of Economics and his strong voice as a public intellectual, I was positively surprised when he confirmed our meeting. It was right after Claudia Goldin was awarded the Nobel Prize, so he surely was at his desk.

Daron Acemoglu is a towering figure in the economics profession as the breadth and depth of his research is virtually unparalleled. Rumors have it that he can churn out a paper on a weekend, many if not most of them land in the profession’s top 5 outlets, and that even close peers cannot keep up with his mathematical modelling. During his PhD at the London School of Economics, each chapter of his thesis is said to have merited a doctorate by itself. 

When doing my masters in economic history at LSE, I vividly remember how Acemoglu, Johnson and Robinson – AJR – turned the discipline upside down at the time with their work on why nations fail. Their instrumental variable approach leveraging settler mortality data allowed a novel perspective on the longue durée, including hypothesis testing, that attracted heavy criticism and universal attention among scholars of economic history and development alike. 

Ein Bild, das Menschliches Gesicht, Person, Lächeln, Wand enthält.

Automatisch generierte Beschreibung

With Prof. Daron Acemoglu in his office at MIT

Now as part of my PhD, I am working on the direction of technological change, that is what determines whether technological development is dirty, thus heavily polluting, or clean, in that it emits much less carbon, and thus paves the way for economic growth to be green. As a Master student at LSE, I applied Acemoglu’s framework to understand why Costa Rica had become the “Switzerland of Central America”, while Honduras, the country where I had worked with street kids during my year as civil servant, a Banana republic.

I think of the knowledge in economics as an ever-expanding circle, with an exponentially increasing surface and a diameter so large by now that virtually nobody can reach both ends at the same time. Similarly, philosophers after Immanuel Kant could no longer labor all subfields in the profession. It takes what I would call a Renaissance Economist – like Acemoglu – to reach on both ends of the circle, that is an economist with a rare ease of penetrating seemingly disparate topics. The concept is based on the belief that human potential is limitless and that people should seek to develop themselves in multiple areas of expertise.  

Personally, I have developed what I would call a “green growth mindset” over the course of my PhD. I founded the d\carb future economy forum as part of my PhD, because I was keen on engaging with inspiring speakers discussing the big questions that had drawn me to economics in the first place. Economists such as Philippe Aghion, Ufuk Akcigit and Cameron Hepburn, who state that economic growth can be reconciled with environmental protection, as a matter of fact this constitutes the growth story of the 21st century. This was one of the questions that continued to puzzle me after my ITFD course on economic growth, that is whether the limits to growth constitute a binding constraint. It helped me find my own position in this tricky question, for which I consider green growth more persuasive than degrowth, as I believe that behavioral changes such as the ones enforced during the pandemic are insufficient to induce the 7 percent annual emission reductions required for net zero by 2050.

Psychologically, a growth mindset signifies that you don’t limit yourself with your own belief, consider your own abilities as malleable, in essence your brain a muscle that can be trained. The most powerful boost for your own motivation is outgrowing your own personal boundaries, that is achieving something you did not think you are capable of. That’s how I felt after completing the ITFD-program, and I do have to say it’s slightly addictive. That is why I am so enormously grateful for Jaume Ventura’s guidance in pursuing a PhD, because nobody in my family has ever done one, and my own imposter syndrome was keeping from choosing that route. Further, as a result of my first blog-post here at BSE Voice, a friend put me in touch with an actual US Navy Seal, who helped me navigate the emotional rollercoaster of the first year of PhD courses – I thought it couldn’t get tougher than the ITFD, yet then it did. Further, I can recommend Laura Blattner’s 15 rules to help you make it through grad school when things get tough. 

In short, I believe we should green our growth policies, for example as part of a new growth model for my native Germany, and that you can all achieve more than you think you are capable of if you conquer your own fear. At times I feel like I resemble one of the scientists in Acemoglu’s models of directed technological change, as I used to work on extractive industries at the World Bank up until the Paris Agreement inspired me to consider decarbonizing my own cv. Now I am working on green innovation and green growth, that is searching effective ways to lower the carbon content of our economy. 

This motivated my various questions to Prof. Acemoglu: Has his research caused the renaissance of green industrial policies, that is large, government-led finance and support for green industries? Are the latter synonymous with green subsidies in his models? Can those provide a segue for effective carbon pricing to subsequently kick-in? Will they suffice to reach a green growth equilibrium to ensue by inducing low-carbon innovation, and can high energy prices substitute their role? And what are the origins of this research on the direction of technological change? 

There is a Netflix documentary stating that MIT is the place for those who don’t fit in elsewhere, whose ideas appear crazy anyplace else. For me, this belief is that you can and should apply randomized controlled trials not merely in development economics, but much rather apply them to decarbonize our economies. I am immensely grateful that my host Jacquelyn Pless reinforced that believe in welcoming me to MIT Sloan. While in Boston, I was fortunate to also meet Josh Lerner, the doctoral advisor of my BSE professor Albert Bravo-Biosca, who had first inspired this idea in me, and – while at a conference in Chicago – the wonderful John List, who encouraged me to keep seeking to change the world with this idea. 

Ein Bild, das Menschliches Gesicht, Person, Bücherregal, Lächeln enthält.

Automatisch generierte Beschreibung

With Prof. Josh Lerner in his office at the Harvard Business School

Thanks to technological progress, you can now ask AI whether superintelligence, i.e. the hypothetical scenario where Artificial Intelligence is surpassing human intelligence, is around the corner. It’s modest assessment of its own capabilities – compared to Daron Acemoglu – suggests that this scenario is still very far away, as you can read below:

Who is smarter? ChatGPT or Daron Acemoglu? 

Daron Acemoglu is an acclaimed economist and professor known for his expertise in the fields of political economy, economic development, and institutions. He has made significant contributions to these areas through his research, publications, and teaching. Acemoglu has received numerous awards and honors for his work, including the John Bates Clark Medal, which is awarded to the best economist under the age of 40 in the United States.

On the other hand, ChatGPT is an AI language model developed by OpenAI. It is designed to understand and generate human-like text based on the training it has received from a large corpus of data. While ChatGPT is a sophisticated AI model with impressive language capabilities, it is important to note that it operates based on statistical patterns in the data it has been trained on and does not possess the same level of domain-specific expertise and intelligence as human experts like Daron Acemoglu.

Therefore, when it comes to comparing intelligence and expertise, Daron Acemoglu, as a highly respected economist and scholar, would be considered more knowledgeable and smarter in his specific field of study. However, it is worth mentioning that ChatGPT can provide a wide range of general knowledge and information across various domains beyond economics, making it a valuable tool for accessing information and generating text.

If this amused you and sparked your curiosity further, Nick Bostrom’s “Superintelligence – Paths, Dangers, Strategies” elaborates these questions in more detail, and “Power and Progress” by Prof. Acemoglu describes how Power does not spread in an egalitarian fashion as a result of technological progress, as well as potential antidotes. 


  1. That is epistemology, metaphysics, logic, axiology and political philosophy.
  2. Curious for tried ‘n tested Navy Seal techniques? Headspace, plus breathing exercises when you’re panicking: breath in for four seconds, hold for eight, breath out for four. Repeat. This WILL calm your mind, and calm is contagious, as they say.
  3.  He wouldn’t go that far 
  4. yes
  5. absolutely
  6.  The million dollar question
  7. yes
  8.  Hicks (1932), Kennedy (1964)

Fake news harms the economy

Research by Stefanie J. Huber ’10 (Economics Program) and co-authors

several hands hold mobile devices displaying an article with the title "Fake News" and a big share button.

Fake news significantly impacts economic dynamics, leading to higher unemployment and lower production. Additionally, people tend to overestimate their ability to distinguish between accurate and false information. However, once they are made aware of this (through experience), their willingness to pay to protect themselves from fake news increases. These findings are derived from two discussion papers involving our alumni community.

In the digital age of the internet and social media, misleading information, often referred to as fake news, has gained momentum since the beginning of the new millennium. Whether political or economic in nature, fake news spreads rapidly. BSE Economics alum Stefanie Huber, now Associate Professor at the University of Bonn, along with Professors Tiziana Assenza, Fabrice Collard, and Patrick Fève from the Toulouse School of Economics, have examined how fake news influences economic dynamics and business cycle fluctuations.

Higher unemployment, lower production

To measure the impact of fake news shocks on the economy, the team compiled a novel dataset, called the “Fake News Atlas” database. It incorporates news fact-checked by PolitiFact, a non-profit and nonpartisan fact-checking organization founded in 2007.  PolitiFact adheres to the principles of the International Fact-Checking Network.

Since the effects of fake news shocks cannot be directly measured, the research team used a proxy VAR model. This approach allows to determine the dynamic causal impact of “fake news shocks” – sudden surges of misleading information. The study analyzes monthly US data from January 2007 to December 2022, including the unemployment rate, industrial production, a business cycle factor summarizing key information about the business cycle, and the one-month-ahead macroeconomic uncertainty index.

Through our model, we demonstrated that technology-based fake news shocks have a significant impact on economic development,” Stefanie Huber explains. As a result, unemployment rises while industrial production falls. Furthermore, fake news shocks contribute significantly to business cycle fluctuations. They also influence consumers to cut their spending. This downturn negatively affects the labor market, leading to reduced working hours and a decrease in job vacancies.

Underlying mechanism

What mechanism is at play here? In Economics, we would say that fake news shocks act as aggregate uncertainty shocks. Technology-related fake news shocks sow seeds of uncertainty that reverberate through the economy. “One can perhaps imagine it like this,” says Huber: “When market participants see these fake news, even if they can identify them as fake, they don’t know if other market participants will fall for them. This creates uncertainty and hence, hampers investment.”

Figure 1 shows a specific example of a fact-checked news item, as shown on PolitiFact website. A conspiracy theory that claims 5G towers are used to brainwash people has surfaced on social media. In a Facebook post sharing a TikTok video, a narrator refers to U.S. patent No. 5356368A and claims it’s proof that 5G towers are used to induce thoughts in people’s consciousness. Such fake news is liked, commented on, and shared by thousands and sometimes millions of media users. Some of the fake news is fact-checked and subsequently marked as “fake.” However, even then, the commentaries often continue to debate the potential “fakeness.”

A Facebook post claiming that 5G towers are used for brainwashing receivees a "pants on fire" rating from Politifact's Truth-o-meter"
Figure 1: Example of a fact-checked news item

For the readership of the BSE community, this particular fake news might sound like absolutely irrelevant noise. And yes, it is noise but not irrelevant—it creates uncertainty. Consider companies producing 5G towers or 5G-technology-based products, their investors, and shareholders. Observing this news creates uncertainty for all of them, even if they can identify it as fake. They do not know how many potential customers or shareholders might be misled by this fake news, potentially inducing a decrease in demand for 5G products and services in the future. Hence, fake news shocks can mimic the disruptive effects of classical aggregate uncertainty shocks.

People overestimate ability to recognize fake news

In another discussion paper, Stefanie Huber, along with Tiziana Assenza and Alberto Cardaci, investigated whether citizens are able to recognize fake news and are willing to pay to protect themselves from the harms of fake news.

In a survey-experiment with a r epresentative sample of 2,413 individuals over 18 years of age, covering various ages, genders, education levels, ethnicities, marital statuses, household sizes, residential regions, and party affiliations, participants from the US population evaluated the accuracy of a series of fact-checked headlines. These statements covered a heterogeneous spectrum of news topics and channels. The approach focused on citizens’ ability to discern the accuracy of information based on the content of the news.

Huber and her co-authors find that the vast majority of respondents have great confidence in their ability to assess the accuracy of news; 82.64% of participants indicate having a “good” or “very good” ability to identify news or information that distorts reality or is even false. “Interestingly, only 37.61% of our respondents believe that the average citizen is capable of distinguishing between correct and fake news,” says Huber.

The key insight: Participants significantly overestimated their own ability to distinguish between correct and fake news.

A silver lining: Once participants realized (through experience!) that they were more susceptible to falling for fake news than they thought, their willingness to pay for protective measures such as fact-checking services significantly increased.

Understanding and combating fake news are crucial for maintaining economic and political stability as well as informed decisions for each individual. “Our research shows how simple awareness campaigns can make a significant difference in the fight against misinformation,” says Huber.

Both studies were funded by the German Research Foundation (DFG) and the French National Research Agency (ANR).

Podcast:

Fabrice Collard gave an interview to CEPR host Tim Phillips about the team’s research. Listen here: https://cepr.org/multimedia/how-fake-news-shapes-business-cycle

Publications and non-technical summaries:

  1. Assenza, T., Collard, F., Fève, P. & Huber, S. (2024): From Buzz to Bust: How Fake News Shapes the Business Cycle. https://cepr.org/publications/dp18912

Non-technical summary: VoxEU column

  1. Assenza, T., Cardaci, A. & Huber, S. (2024): Fake News: Susceptibility, Awareness and Solutions. https://www.econtribute.de/RePEc/ajk/ajkdps/ECONtribute_290_2024.pdf 

Non-technical summary: VoxEU column

Connect with the authors

  • Stefanie J. Huber ’10 (Economics). Associate Professor at the University of Bonn and faculty member of the ECONtribute Cluster of Excellence, Germany. 
  • Tiziana Assenza. Associate Professor at the Toulouse School of Economics. 
  • Alberto Cardaci. Serves as Market Insights Senior Manager in the corporate sector. Previously, he was Assistant Professor at the Chair of Macroeconomics and Finance, Goethe University Frankfurt
  • Fabrice Collard. CNRS Senior Researcher at the Toulouse School of Economics and a Research Fellow at CEPR. 
  • Patrick Fève. Professor of Economics at the Toulouse School of Economics.

Author info is current as of June 2024.

Migration Shocks and Occupational Downgrading: Evidence from Venezuelan Migrants in Chile

Economics master project by Sunidhi Agarwal, Ignacio Ariznavarreta, Nour Chamseddine, Ricardo Gonçalves, and Ignacio Ramón Oliva ’22

Overlapping flags of Venezuela and Chile

Editor’s note: This post is part of a series showcasing Barcelona School of Economics master projects. The project is a required component of all BSE Master’s programs.

Abstract

This paper examines the downgrading in job status that immigrant workers suffer when settling in a new country. We consider the massive Venezuelan exodus and the impacts this shock had on the job outcomes of migrants who settled in Chile.

Our approach is based on linear regression analysis and multinomial logistic regression models to estimate the penalty immigrants face. To this end, we use household-level data and employ two job-status indexes.

Results show that migrants who arrived before the 2015 Venezuelan crisis did not face significant downgrading. However, migrants who have arrived after 2015 do. Findings are relevant to understanding the impact of massive and sudden migratory shocks.

Connect with the authors

The authors pose for a group photo outside the graduation venue on a sunny day in Barcelona
The authors celebrate together at their graduation ceremony in Barcelona (July 2022).

Author info is current as of February 2023.

About the BSE Master’s Program in Economics

Application of bagging in day-ahead electricity price forecasting and factor augmentation

Publication in Energy Economics by Kadir Özen ’21 (PhD Track) and Dilem Yıldırım

Illustration of an energy plant and city lights with market graph

This paper has been published in the November 2021 issue of the journal Energy Economics.

Abstract

The electricity price forecasting (EPF) is a challenging task not only because of the uncommon characteristics of electricity but also because of the existence of many potential predictors with changing predictive abilities over time. In such an environment, how to account for all available factors and extract as much information as possible is the key to the production of accurate forecasts. To address this long-standing issue in a way that balances complexity and forecasting accuracy while facilitating the traceability of the predictor selection procedure, we propose the method of Bootstrap Aggregation (bagging). To forecast day-ahead electricity prices in a multivariate context for six major power markets, we construct a large-scale pure price model and apply the bagging approach in comparison with the popular Least Absolute Shrinkage and Selection Operator (LASSO) estimation method. Our forecasting study reveals that bagging provides substantial forecast improvements on daily and hourly scales in almost all markets over the popular LASSO estimation method. The differentiation in the forecast performances of the two approaches appears to arise, inter alia, from their structural differences in the explanatory variables selection process. Moreover, to account for the intraday hourly dependencies of day-ahead electricity prices, all our models are augmented with latent factors, and a substantial improvement is observed only in the forecasts from models covering a relatively limited number of predictors.

Highlights

  • We forecast day-ahead electricity prices for major markets with a large-scale model.
  • The method of Bootstrap Aggregation (bagging) is applied to generate forecasts.
  • Bagging appears to be very competitive and promising compared to the popular LASSO.
  • Factor augmentation is proposed to capture intraday hourly dependencies of prices.
  • Augmentation improves forecasts only for models with limited number of predictors.

Connect with BSE authors

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Kadir Özen ’21 is a student in the PhD Program at UPF and BSE. He is an alum of the BSE Master’s in Economics and Finance (PhD Track).

Marta Morazzoni and Andrea Sy win EEA Young Economist Award

Their paper, “Female entrepreneurship, financial frictions and capital misallocation in the US,” has also been published in the Journal of Monetary Economics.

A photo of the two BSE alumni who wrote the award-winning paper, Marta Morazzoni and Andrea Sy, posing together at UPF Ciudatella Campus where they are both PhD candidates.
EEA Young Economist Awardees Marta Morazzoni ’18 and Andrea Sy ’18

BSE alumni Marta Morazzoni and Andrea Sy (both Economics Class of 2018) received the 2021 Young Economist Award from the European Economic Association and Unicredit Foundation for their paper, “Female entrepreneurship, financial frictions and capital misallocation in the US.”

The paper has also just been published in the Journal of Monetary Economics. (It originally appeared as a Barcelona School of Economics Working Paper.)

“New empirical evidence, highly relevant policy implications”

The EEA Young Economics award committee consisted of Philipp Kircher, Giacomo Ponzetto and Antonella Trigari. They noted that “the paper addresses an extremely important topic, offers new empirical evidence from micro-level data cleverly identifying informative moments, and builds a state-of-the-art general equilibrium model to rationalize the evidence and to provide highly relevant policy implications.”

Read the award committee’s report on the EEA website

Paper abstract

We document and quantify the effect of a gender gap in credit access on both entrepreneurship and input misallocation in the US. Female entrepreneurs are found to be more likely to face a rejection on their loan applications and to have a higher average product of capital, a sign of gender-driven capital misallocation that decreases in female-led firms’ access to finance. These results are not driven by differences in observable individual or businesses characteristics. Calibrating a heterogeneous agents model of entrepreneurship to the US economy, we show that the observed gap in credit access explains the bulk of the gender differences in capital allocation across firms. Eliminating such credit imbalance is estimated to potentially increase output by 4%, and to reduce capital misallocation by 12%.

Key findings

  • In the US, female entrepreneurs receive less business funding compared to male entrepreneurs.
  • Female-owned firms operate with lower levels of assets, resulting in gender-driven capital misallocation.
  • Female-led businesses are nonetheless relatively more profitable and have better credit risk scores.
  • Removing the gender gap in business financing is estimated to potentially increase output by 4%.

Connect with BSE authors

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Marta Morazzoni ’18 is a PhD candidate at Universitat Pompeu Fabra and BSE. She is an alum of the BSE Master’s in Economics.

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Andrea Sy ’18 is a PhD candidate at Universitat Pompeu Fabra and BSE. She is an alum of the BSE Master’s in Economics.

Gender Gap and Retirement Decisions: the Maternity Pension Supplement in Spain

Economics master project by Jorge Casanova, Horia Guias, Carlos Javier López, Andrea Salvanti, and Patrick Sewell ’21

Family graphic spray painted on pavement
Photo by Sandy Millar on Unsplash

Editor’s note: This post is part of a series showcasing Barcelona School of Economics master projects. The project is a required component of all BSE Master’s programs.

Abstract

Embedded in the growing governmental efforts to reduce the gender income gap, in 2016 a retirement pension supplement for mothers of at least two children was introduced in Spain. Through an Oaxaca-Blinder decomposition analysis, we find that the policy had a smaller-than-expected shrinking effect in the gender gap in retirement pensions. Using a difference-in-differences approach, we identify that the trade-off between the supplement incentivizing early retirement and the penalty this retirement modality entails in Spain is the mechanism driving this result. Finally, we developed a dynamic choice model to simulate women’s behavior under alternative versions of the policy.

Summary

Our main motivation was to analyse whether the maternity supplement proposed by the Spanish government in 2016 fostered gender equality through a reduction of the gender gap in retirement income. We decompose the average monthly retirement income for both men and women into its determinants and estimate how the gender difference in returns on pension of having two or more children changes after the policy is introduced. Our result is that the policy had a smaller-than-expected shrinking effect in the gender gap in retirement pensions, as the gender gap for regular retirement closes but the gap conditional on early retirement (i.e. below 65 years) remains unaffected.

chart

Figure 1: Time Series of Average Monthly Retirement Income: negative trend reverted for women retiring at 65 after the introduction of the policy but not for women retiring at an earlier age.

Using a difference-in-differences approach, we observe that the policy has a positive effect on all retirement hazard rates – i.e. the probability of retiring at a certain age, conditional on not having done so before.

One reason for the lower income effect is due to the trade-off that women face when they consider retiring before reaching the age at which they would start receiving their full retirement pension. On the one hand, early retirement increases the value of leisure, which could be especially beneficial for women with difficult working biographies. On the other hand, early retirement entails a penalty on the pension. For this group of women, early retirement reduces this penalty and hence, changes the trade-off in favour of early retirement, making the substitution of retirement income for more leisure more appealing.

Finally, we develop a dynamic choice model that depicts the trade-off between income and leisure that women face in retirement decisions, which can be used in a next step to simulate different retirement policies and compare their outcomes.

Future research on the maternity benefit ought to shed light on the different effects it produced between women who were and were not in a couple, and how much agents value leisure relative to money.

Connect with the authors

About the BSE Master’s Program in Economics

Economic gains from global cooperation in fulfilling climate pledges

Publication in Energy Policy by Sneha Thube ’16 (Economics) et al

Co2, Carbon Dioxide, Carbon, Oxygen, The Atmosphere
Image by Gerd Altmann from Pixabay

My paper “Economic gains from global cooperation in fulfilling climate pledges” (with Ruth Delzeitab and Christian H.C.A. Henning) is now available online.

Paper Abstract

Mitigation of CO2 emissions is a global public good that imposes different regional economic costs. We assess the distributional effects of cooperative versus non-cooperative CO2 markets to fulfil the Nationally Determined Contributions (NDCs), considering different CO2 permit allocation rules in cooperative markets. We employ a global computable general equilibrium model based on the GTAP-9 database and the add-on GTAP-Power database. Our results show the resulting winners and losers under different policy scenarios with different permit allocation rules. We see that in 2030, we can obtain gains as high as $106 billion from global cooperation in CO2 markets. A cooperative CO2 permit market with equal per capita allowances results in considerable monetary transfers from high per capita emission regions to low per capita emission regions. In per capita terms, these transfers are comparable to the Official Development Assistance (ODA) transfers. We also disaggregate the mitigation costs into direct and indirect shares. For the energy-exporting regions, the largest cost component is unambiguously the indirect mitigation costs.

Conclusions

With regard to the initial NDCs, aggregate economic gains from jointly achieving the NDCs are $106bn (i.e. 60% of costs with unilateral action) in 2030. Mobilizing cooperation via Article 6 is important.

When the costs are disaggregated into direct (i.e. domestic mitigation) and indirect (i.e. due to changes in international markets) within the energy-exporters (e.g., Russia, Canada, Middle East and North Africa) the dominant cost share arises from indirect costs.

We also model a scenario using where regional allowances allocated in proportion to the regional population (aka Carbon Egalitarianism) within a global ETS. This approach addresses global equity issues, aligns incentives of all countries & eliminates free-riding problem.

Large financial transfers (~$114bn in 2030) are generated via the carbon markets are leads to welfare improvements in the developing regions. These transfers are comparable to the per capita ODA received by some countries esp. in Sub-Saharan Africa.

The approach based on per capita emission benchmarking has also been suggested by Dr. Raghuram Rajan

If global justice is considered as a global public good, which similar to GHG mitigation, is underprovided, then the principle of carbon egalitarianism could promisingly combine an additional aspect to welfare, giving an important message for policymakers.

Connect with the author

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Sneha Thube ’16 is a researcher at the Kiel Institute for World Economy. She is an alum of the Barcelona GSE Master’s in Economics.

Save The Euro Policy: European Debt Crisis and Covid-19 Pandemic

Economics master project by Kadir Özen and Hirotaka Ito ’21

Euro bills and face masks

Editor’s note: This post is part of a series showcasing Barcelona School of Economics master projects. The project is a required component of all BSE Master’s programs.

Abstract

The 2008-2009 Global Financial Crisis led to European debt crisis leaving the periphery of euro zone with very high borrowing costs compared to core countries. When Covid-19 Pandemic Crisis hit the economies, monetary policy tools of European Central Bank prevented a similar debt crisis. We identify the underlying factor of the ECB monetary policy that is active during the 2011-2012 debt crisis and Covid-19 Pandemic periods operated through sovereign spreads preventing the contagion of fragmentation risk of euro area. We call this new factor, save-the-euro with which we shed light on the monetary policies of this unusual periods.

Conclusions

  • Identified the new dimension of the ECB Policy, save-the-euro policy, that captures stabilization policy of ECB that works through euro zone sovereign yields
  • This policy addresses euro area fragmentation risk 
  • An expansionary save-the-euro policy leads to a highly statistically significant appreciation of Euro against US dollar: Sharp contrast with the standard textbook treatment
  • Document the reversal of flight-to-safety flows in the euro area

Connect with the authors

About the BSE Master’s Program in Economics

Wealth Inequality in the US: the Role of Heterogeneous Returns

Best paper award for Inês Xavier (Economics ’15, UPF PhD ’21)

Paper abstract

Why is wealth so concentrated in the United States? In this paper, I investigate the role of return heterogeneity as a source of wealth inequality. Using household-level data from the Survey of Consumer Finances (1989-2019), I provide new empirical evidence on returns to wealth in the United States, and find that wealthier households earn, on average, higher returns: moving from the 20th to the 99th percentile of the wealth distribution raises the average yearly return from 3.6% to 8.3%. To understand how these return differences shape the distribution of wealth, I introduce realistic return heterogeneity in a partial equilibrium model of household saving behavior. This exercise suggests that considering both earnings and return heterogeneity can fully account for the top 10% wealth share observed in the data (76%), which cannot be explained by earnings differences alone.

Connect with BSE authors

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Inês Xavier ’15 (PhD, UPF and BSE) is an Economist at the U.S. Federal Reserve Board of Governors. She is an alum of the BSE Master’s in Economics.

On the Effects of Sovereign Debt Volatility: a Theoretical Model

Economics master project by Oscar Fernández, Sergio Fonseca, Gino Magnini, Riccardo Marcelli Fabiani, and Claudia Nobile

Two pairs of hands exchange euro bills
Photo by cottonbro on Pexels

Editor’s note: This post is part of a series showcasing Barcelona School of Economics master projects. The project is a required component of all BSE Master’s programs.

Abstract

We construct a theoretical Overlapping Generations (OLG) model to describe how sovereign debt crises can propagate in the economy under certain financial constraints.

In the model, households work when young and deposit their savings in exchange for a dividend, banks invest deposits in assets and government bonds. Banks, subject to legal and market requirements, invest a fixed fraction of deposits and own equity in assets. When prices of bonds fall due to perceived sovereign debt risks, banks can invest less on capital goods directly affecting the business cycle. This paper simulates the deviations from steady-state produced by a shock to government securities and provides insights into macro-prudential policy implications.

We find that a sovereign debt crisis affects young and old generations differently, with the latter facing higher fluctuations in consumption. We also find that the macro-prudential policy can be effective only at very high levels on the old, but ineffective for the younger generation.

Conclusions

This paper draws three main conclusions about the impact of a sovereign debt crisis on the business cycle within the proposed OLG theoretical framework:

  1. A decline in government bond prices leads to lower output, wages and dividend negatively affecting present and future consumption. However, this effect is different for young and old generations. In particular, the old seem to face more sudden changes and higher deviations from steady-state values when a sovereign debt crisis takes place.
  2. The proposed macro-prudential policy does not seem to offset the impact of a fall in government bonds prices on the business cycle. In fact, almost all the macroeconomic variables of interest in our theoretical model do not change significantly, relative to their steady-state values, when the supervising authority modifies the capital requirements for banks.
  3. A very aggressive policy on capital requirements (i.e. x=0.9 for the whole period) can compensate for the negative shock bonds prices have on dividends and, therefore, consumption for the old.

Connect with the authors

About the BSE Master’s Program in Economics