Project acronym AROMA-CFD
Project Advanced Reduced Order Methods with Applications in Computational Fluid Dynamics
Researcher (PI) Gianluigi Rozza
Host Institution (HI) SCUOLA INTERNAZIONALE SUPERIORE DI STUDI AVANZATI DI TRIESTE
Call Details Consolidator Grant (CoG), PE1, ERC-2015-CoG
Summary The aim of AROMA-CFD is to create a team of scientists at SISSA for the development of Advanced Reduced Order Modelling techniques with a focus in Computational Fluid Dynamics (CFD), in order to face and overcome many current limitations of the state of the art and improve the capabilities of reduced order methodologies for more demanding applications in industrial, medical and applied sciences contexts. AROMA-CFD deals with strong methodological developments in numerical analysis, with a special emphasis on mathematical modelling and extensive exploitation of computational science and engineering. Several tasks have been identified to tackle important problems and open questions in reduced order modelling: study of bifurcations and instabilities in flows, increasing Reynolds number and guaranteeing stability, moving towards turbulent flows, considering complex geometrical parametrizations of shapes as computational domains into extended networks. A reduced computational and geometrical framework will be developed for nonlinear inverse problems, focusing on optimal flow control, shape optimization and uncertainty quantification. Further, all the advanced developments in reduced order modelling for CFD will be delivered for applications in multiphysics, such as fluid-structure interaction problems and general coupled phenomena involving inviscid, viscous and thermal flows, solids and porous media. The advanced developed framework within AROMA-CFD will provide attractive capabilities for several industrial and medical applications (e.g. aeronautical, mechanical, naval, off-shore, wind, sport, biomedical engineering, and cardiovascular surgery as well), combining high performance computing (in dedicated supercomputing centers) and advanced reduced order modelling (in common devices) to guarantee real time computing and visualization. A new open source software library for AROMA-CFD will be created: ITHACA, In real Time Highly Advanced Computational Applications.
Summary
The aim of AROMA-CFD is to create a team of scientists at SISSA for the development of Advanced Reduced Order Modelling techniques with a focus in Computational Fluid Dynamics (CFD), in order to face and overcome many current limitations of the state of the art and improve the capabilities of reduced order methodologies for more demanding applications in industrial, medical and applied sciences contexts. AROMA-CFD deals with strong methodological developments in numerical analysis, with a special emphasis on mathematical modelling and extensive exploitation of computational science and engineering. Several tasks have been identified to tackle important problems and open questions in reduced order modelling: study of bifurcations and instabilities in flows, increasing Reynolds number and guaranteeing stability, moving towards turbulent flows, considering complex geometrical parametrizations of shapes as computational domains into extended networks. A reduced computational and geometrical framework will be developed for nonlinear inverse problems, focusing on optimal flow control, shape optimization and uncertainty quantification. Further, all the advanced developments in reduced order modelling for CFD will be delivered for applications in multiphysics, such as fluid-structure interaction problems and general coupled phenomena involving inviscid, viscous and thermal flows, solids and porous media. The advanced developed framework within AROMA-CFD will provide attractive capabilities for several industrial and medical applications (e.g. aeronautical, mechanical, naval, off-shore, wind, sport, biomedical engineering, and cardiovascular surgery as well), combining high performance computing (in dedicated supercomputing centers) and advanced reduced order modelling (in common devices) to guarantee real time computing and visualization. A new open source software library for AROMA-CFD will be created: ITHACA, In real Time Highly Advanced Computational Applications.
Max ERC Funding
1 656 579 €
Duration
Start date: 2016-05-01, End date: 2021-04-30
Project acronym ASNODEV
Project Aspirations Social Norms and Development
Researcher (PI) Eliana LA FERRARA
Host Institution (HI) UNIVERSITA COMMERCIALE LUIGI BOCCONI
Call Details Advanced Grant (AdG), SH1, ERC-2015-AdG
Summary Development economists and policymakers often face scenarios in which poor people do not make choices that would help them get out of poverty due to an “aspiration failure”: the poor perceive certain goals as unattainable and do not invest towards those goals, thus perpetuating their own state of poverty. The aim of this proposal is to improve our understanding of the relationship between aspirations and socio-economic outcomes of disadvantaged individuals, in order to answer the question: Can we design policy interventions that shift aspirations in a way that is conducive to development?
In addressing the above question a fundamental role is played by social norms and by the ability of individuals to coordinate on “new” aspirations, hence the analysis of social effects is a salient feature of this proposal.
The proposed research is organized in two workpackages. The first focuses on the media as a vehicle for changing aspirations, examining both commercial TV programs and “educational entertainment”. The second workpackage examines “tailored” interventions designed to address specific determinants of aspiration failures (e.g., psychological support to reduce perceived barriers; inter-racial interaction to change stereotypes; institutional reform to strengthen women’s rights and reduce the gender aspiration gap).
The methodology will involve rigorous evaluation of several interventions directly designed to or indirectly affecting aspirations and social norms. Original data collected through survey work, large administrative datasets and media content analysis will be used.
The results of this project will advance our knowledge on the sources of aspiration failures by poor people and on the interplay between aspirations and social norms, eventually opening the avenue for a new array of anti-poverty policies.
Summary
Development economists and policymakers often face scenarios in which poor people do not make choices that would help them get out of poverty due to an “aspiration failure”: the poor perceive certain goals as unattainable and do not invest towards those goals, thus perpetuating their own state of poverty. The aim of this proposal is to improve our understanding of the relationship between aspirations and socio-economic outcomes of disadvantaged individuals, in order to answer the question: Can we design policy interventions that shift aspirations in a way that is conducive to development?
In addressing the above question a fundamental role is played by social norms and by the ability of individuals to coordinate on “new” aspirations, hence the analysis of social effects is a salient feature of this proposal.
The proposed research is organized in two workpackages. The first focuses on the media as a vehicle for changing aspirations, examining both commercial TV programs and “educational entertainment”. The second workpackage examines “tailored” interventions designed to address specific determinants of aspiration failures (e.g., psychological support to reduce perceived barriers; inter-racial interaction to change stereotypes; institutional reform to strengthen women’s rights and reduce the gender aspiration gap).
The methodology will involve rigorous evaluation of several interventions directly designed to or indirectly affecting aspirations and social norms. Original data collected through survey work, large administrative datasets and media content analysis will be used.
The results of this project will advance our knowledge on the sources of aspiration failures by poor people and on the interplay between aspirations and social norms, eventually opening the avenue for a new array of anti-poverty policies.
Max ERC Funding
1 618 125 €
Duration
Start date: 2016-11-01, End date: 2021-10-31
Project acronym CAVE
Project Challenges and Advancements in Virtual Elements
Researcher (PI) Lourenco Beirao da veiga
Host Institution (HI) UNIVERSITA' DEGLI STUDI DI MILANO-BICOCCA
Call Details Consolidator Grant (CoG), PE1, ERC-2015-CoG
Summary The Virtual Element Method (VEM) is a novel technology for the discretization of partial differential equations (PDEs), that shares the same variational background as the Finite Element Method. First but not only, the VEM responds to the strongly increasing interest in using general polyhedral and polygonal meshes in the approximation of PDEs without the limit of using tetrahedral or hexahedral grids. By avoiding the explicit integration of the shape functions that span the discrete space and introducing an innovative construction of the stiffness matrixes, the VEM acquires very interesting properties and advantages with respect to more standard Galerkin methods, yet still keeping the same coding complexity. For instance, the VEM easily allows for polygonal/polyhedral meshes (even non-conforming) with non-convex elements and possibly with curved faces; it allows for discrete spaces of arbitrary C^k regularity on unstructured meshes.
The main scope of the project is to address the recent theoretical challenges posed by VEM and to assess whether this promising technology can achieve a breakthrough in applications. First, the theoretical and computational foundations of VEM will be made stronger. A deeper theoretical insight, supported by a wider numerical experience on benchmark problems, will be developed to gain a better understanding of the method's potentials and set the foundations for more applicative purposes. Second, we will focus our attention on two tough and up-to-date problems of practical interest: large deformation elasticity (where VEM can yield a dramatically more efficient handling of material inclusions, meshing of the domain and grid adaptivity, plus a much stronger robustness with respect to large grid distortions) and the cardiac bidomain model (where VEM can lead to a more accurate domain approximation through MRI data, a flexible refinement/de-refinement procedure along the propagation front, to an exact satisfaction of conservation laws).
Summary
The Virtual Element Method (VEM) is a novel technology for the discretization of partial differential equations (PDEs), that shares the same variational background as the Finite Element Method. First but not only, the VEM responds to the strongly increasing interest in using general polyhedral and polygonal meshes in the approximation of PDEs without the limit of using tetrahedral or hexahedral grids. By avoiding the explicit integration of the shape functions that span the discrete space and introducing an innovative construction of the stiffness matrixes, the VEM acquires very interesting properties and advantages with respect to more standard Galerkin methods, yet still keeping the same coding complexity. For instance, the VEM easily allows for polygonal/polyhedral meshes (even non-conforming) with non-convex elements and possibly with curved faces; it allows for discrete spaces of arbitrary C^k regularity on unstructured meshes.
The main scope of the project is to address the recent theoretical challenges posed by VEM and to assess whether this promising technology can achieve a breakthrough in applications. First, the theoretical and computational foundations of VEM will be made stronger. A deeper theoretical insight, supported by a wider numerical experience on benchmark problems, will be developed to gain a better understanding of the method's potentials and set the foundations for more applicative purposes. Second, we will focus our attention on two tough and up-to-date problems of practical interest: large deformation elasticity (where VEM can yield a dramatically more efficient handling of material inclusions, meshing of the domain and grid adaptivity, plus a much stronger robustness with respect to large grid distortions) and the cardiac bidomain model (where VEM can lead to a more accurate domain approximation through MRI data, a flexible refinement/de-refinement procedure along the propagation front, to an exact satisfaction of conservation laws).
Max ERC Funding
980 634 €
Duration
Start date: 2016-07-01, End date: 2021-06-30
Project acronym DASTCO
Project Developing and Applying Structural Techniques for Combinatorial Objects
Researcher (PI) Paul Joseph Wollan
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA
Call Details Starting Grant (StG), PE1, ERC-2011-StG_20101014
Summary The proposed project will tackle a series of fundamental problems in discrete mathematics by studying labeled graphs, a generalization of graphs which readily apply to problems beyond graph theory. To achieve these goals will require both developing new graph theoretic tools and techniques as well as further expounding upon known methodologies.
The specific problems to be studied can be grouped into a series of semi-independent projects. The first focuses on signed graphs with applications to a conjecture of Seymour concerning 1-flowing binary matroids and a related conjecture on the intregality of polyhedra defined by a class of binary matrices. The second proposes to develop a theory of minors for directed graphs. Finally, the project looks at topological questions arising from graphs embedding in a surface and the classic problem of efficiently identifying the trivial knot. The range of topics considered will lead to the development of tools and techniques applicable to questions in discrete mathematics beyond those under direct study.
The project will create a research group incorporating graduate students and post doctoral researchers lead by the PI. Each area to be studied offers the potential for ground-breaking results at the same time offering numerous intermediate opportunities for scientific progress.
Summary
The proposed project will tackle a series of fundamental problems in discrete mathematics by studying labeled graphs, a generalization of graphs which readily apply to problems beyond graph theory. To achieve these goals will require both developing new graph theoretic tools and techniques as well as further expounding upon known methodologies.
The specific problems to be studied can be grouped into a series of semi-independent projects. The first focuses on signed graphs with applications to a conjecture of Seymour concerning 1-flowing binary matroids and a related conjecture on the intregality of polyhedra defined by a class of binary matrices. The second proposes to develop a theory of minors for directed graphs. Finally, the project looks at topological questions arising from graphs embedding in a surface and the classic problem of efficiently identifying the trivial knot. The range of topics considered will lead to the development of tools and techniques applicable to questions in discrete mathematics beyond those under direct study.
The project will create a research group incorporating graduate students and post doctoral researchers lead by the PI. Each area to be studied offers the potential for ground-breaking results at the same time offering numerous intermediate opportunities for scientific progress.
Max ERC Funding
850 000 €
Duration
Start date: 2011-12-01, End date: 2017-09-30
Project acronym ECONOMICHISTORY
Project Contracts, Institutions, and Markets in Historical Perspective
Researcher (PI) Maristella Botticini
Host Institution (HI) UNIVERSITA COMMERCIALE LUIGI BOCCONI
Call Details Advanced Grant (AdG), SH1, ERC-2011-ADG_20110406
Summary A growing number of scholars are studying the interactions between cultural values, social and religious norms, institutions, and economic outcomes. The rise of markets, as well as the development of contracts that enable mutually beneficial transactions among agents, are one of the central themes in the literature on long-term economic growth.
This project contributes to both strands of literature by studying the invention and development of marine insurance contracts in medieval Italy and their subsequent spread all over Europe. It brings the economic approach to previously unexplored historical data housed in archives in Florence, Genoa, Pisa, Palermo, Prato, and Venice.
The interest in the historical origin and development of marine insurance contracts is twofold. First, marine contracts are the “parents” of all the other insurance contracts (e.g., fire, life, health, etc) that were developed in subsequent centuries to cope with risk. Second, their invention, as well as other innovations in business practices in the Middle Ages, contributed to the growth of international trade in subsequent centuries.
The key novelty of the project stems from combining contract theory with information from thousands of insurance contracts between 1300 and 1550 to explain why marine insurance developed in medieval Italy and then Europe, to study the empirical determinants of insurance contracts in medieval Italy, and to analyze how medieval merchants coped with adverse selection and moral hazard problems.
Most scholars agree that marine insurance was unknown to the ancient world. Italian merchants developed the first insurance contracts and other innovations in business practices during and in the aftermath of the Commercial Revolution that swept Europe from roughly 1275 to about 1325. Marine insurance contracts may have developed as a spin-off of earlier contracts which shifted the risk from one party to another (e.g., sea loan, insurance loan). Alternatively, in the early or mid-fourteenth century, sedentary merchants that provided the capital to travelling merchants invented a new type of contract, when they discovered that the existing contract forms had shortcomings in transferring and dividing sea risk.
A sample of the questions that this project will address includes:
- Why did insurance contracts and a marine insurance market first develop in medieval times and not earlier despite merchants had to deal with the risks associated with maritime trade since antiquity?
- What were the empirical determinants of contract form (e.g., insurance premium) in the medieval insurance market?
- How did medieval merchants compute insurance premia without having the formal notion of probability that was developed only in the mid-seventeenth century?
- How did medieval merchants cope with the typical problems that plague insurance markets, i.e., adverse selection and moral hazard?
Summary
A growing number of scholars are studying the interactions between cultural values, social and religious norms, institutions, and economic outcomes. The rise of markets, as well as the development of contracts that enable mutually beneficial transactions among agents, are one of the central themes in the literature on long-term economic growth.
This project contributes to both strands of literature by studying the invention and development of marine insurance contracts in medieval Italy and their subsequent spread all over Europe. It brings the economic approach to previously unexplored historical data housed in archives in Florence, Genoa, Pisa, Palermo, Prato, and Venice.
The interest in the historical origin and development of marine insurance contracts is twofold. First, marine contracts are the “parents” of all the other insurance contracts (e.g., fire, life, health, etc) that were developed in subsequent centuries to cope with risk. Second, their invention, as well as other innovations in business practices in the Middle Ages, contributed to the growth of international trade in subsequent centuries.
The key novelty of the project stems from combining contract theory with information from thousands of insurance contracts between 1300 and 1550 to explain why marine insurance developed in medieval Italy and then Europe, to study the empirical determinants of insurance contracts in medieval Italy, and to analyze how medieval merchants coped with adverse selection and moral hazard problems.
Most scholars agree that marine insurance was unknown to the ancient world. Italian merchants developed the first insurance contracts and other innovations in business practices during and in the aftermath of the Commercial Revolution that swept Europe from roughly 1275 to about 1325. Marine insurance contracts may have developed as a spin-off of earlier contracts which shifted the risk from one party to another (e.g., sea loan, insurance loan). Alternatively, in the early or mid-fourteenth century, sedentary merchants that provided the capital to travelling merchants invented a new type of contract, when they discovered that the existing contract forms had shortcomings in transferring and dividing sea risk.
A sample of the questions that this project will address includes:
- Why did insurance contracts and a marine insurance market first develop in medieval times and not earlier despite merchants had to deal with the risks associated with maritime trade since antiquity?
- What were the empirical determinants of contract form (e.g., insurance premium) in the medieval insurance market?
- How did medieval merchants compute insurance premia without having the formal notion of probability that was developed only in the mid-seventeenth century?
- How did medieval merchants cope with the typical problems that plague insurance markets, i.e., adverse selection and moral hazard?
Max ERC Funding
1 113 900 €
Duration
Start date: 2012-07-01, End date: 2018-06-30
Project acronym ESEMO
Project Estimation of General Equilibrium Labor Market Search Models
Researcher (PI) Claudio Michelacci
Host Institution (HI) Istituto Einaudi per l'Economia e la Finanza
Call Details Advanced Grant (AdG), SH1, ERC-2011-ADG_20110406
Summary "My proposal deals with the estimation of Dynamic Stochastic General Equilibrium models with important heterogeneity at the level of firms and households and frictions in the labor market. In the estimation I will exploit mixed frequency data (monthly, quarterly and annual) available in different countries. I will also efficiently take care of possible missing values in the data. This might require developing new estimation techniques. The contribution of the project will be in dealing with important empirically relevant questions. I will address issues that lie at the boundaries between labour economics, business cycle analysis, monetary economics, finance, and growth. In particular I will answer the following questions:
1. How are business cycle costs distributed across different individuals? How costly is involuntary unemployment?
2. Which view best characterizes the process of technology adoption at business cycle frequencies? In particular does Schumpeterian creative destruction play a role in characterizing the adoption of new technologies over the business cycle?
3. What are the welfare costs of the search inefficiencies present in the process of worker reallocation over the business cycle?
4. What are the sources of business cycle fluctuations? And in particular are technology shocks an important driving force?
5. What are the contribution of the job separation rate and the importance of the intensive margin relative to the extensive margin in characterizing aggregate labor market fluctuations?
6. What are the main differences in the cyclical properties of the labor market across the OECD? And which institutions explain these differences?
7. What are the effects of financial sector shocks? And why has the Beveridge curve shifted during the last world wide recession?
8. How policy should respond to the large variation in unemployment risk that individual workers face over their life cycle?"
Summary
"My proposal deals with the estimation of Dynamic Stochastic General Equilibrium models with important heterogeneity at the level of firms and households and frictions in the labor market. In the estimation I will exploit mixed frequency data (monthly, quarterly and annual) available in different countries. I will also efficiently take care of possible missing values in the data. This might require developing new estimation techniques. The contribution of the project will be in dealing with important empirically relevant questions. I will address issues that lie at the boundaries between labour economics, business cycle analysis, monetary economics, finance, and growth. In particular I will answer the following questions:
1. How are business cycle costs distributed across different individuals? How costly is involuntary unemployment?
2. Which view best characterizes the process of technology adoption at business cycle frequencies? In particular does Schumpeterian creative destruction play a role in characterizing the adoption of new technologies over the business cycle?
3. What are the welfare costs of the search inefficiencies present in the process of worker reallocation over the business cycle?
4. What are the sources of business cycle fluctuations? And in particular are technology shocks an important driving force?
5. What are the contribution of the job separation rate and the importance of the intensive margin relative to the extensive margin in characterizing aggregate labor market fluctuations?
6. What are the main differences in the cyclical properties of the labor market across the OECD? And which institutions explain these differences?
7. What are the effects of financial sector shocks? And why has the Beveridge curve shifted during the last world wide recession?
8. How policy should respond to the large variation in unemployment risk that individual workers face over their life cycle?"
Max ERC Funding
1 659 169 €
Duration
Start date: 2012-03-01, End date: 2017-02-28
Project acronym EVALIDEA
Project Designing Institutions to Evaluate Ideas
Researcher (PI) Marco Maria Ottaviani
Host Institution (HI) UNIVERSITA COMMERCIALE LUIGI BOCCONI
Call Details Advanced Grant (AdG), SH1, ERC-2011-ADG_20110406
Summary "Not all new ideas are equally valuable from a social perspective. As the readers of this document know all too well, “picking the winners” is challenging because innovations have highly uncertain outcomes.
The aim of this research project is to develop a general theoretical framework to investigate the design of institutions and mechanisms for evaluating new ideas and innovations. The proposed framework examine how these institutions function, draw parallels between them and suggest changes to ensure more accurate evaluation of ideas. Accurate evaluation is of paramount importance because in order for an idea to be successful, it is not enough that the idea be good. It is also necessary that the idea is recognized as good by those who evaluate it. As the evaluation process becomes more accurate, good ideas are more likely to be funded and incentives for the creation of good ideas are enhanced.
A key contribution of our framework is a characterization of the role played by evaluating institutions in overcoming the inefficiencies resulting from decentralized interaction. These institutions act as intermediaries between innovators and users, and thus are able to redress the market failure resulting when ideas are evaluated in a more decentralized way.
By viewing evaluating institutions through a common lens, we perform a comparative analysis of the workings of such diverse institutions as research funding bodies, government regulators, and screening panels of venture capitalists. With techniques from the economic theory of mechanism design, we intend to characterize the best institutional design for idea evaluation. We then compare this ideal benchmark with actual institutions and characterize how it depends on the primitive ingredients of the environment. Lastly, through empirical and experimental testing, we propose changes to institution design parameters and suggest modifications to the mechanisms created for the purpose of evaluating ideas."
Summary
"Not all new ideas are equally valuable from a social perspective. As the readers of this document know all too well, “picking the winners” is challenging because innovations have highly uncertain outcomes.
The aim of this research project is to develop a general theoretical framework to investigate the design of institutions and mechanisms for evaluating new ideas and innovations. The proposed framework examine how these institutions function, draw parallels between them and suggest changes to ensure more accurate evaluation of ideas. Accurate evaluation is of paramount importance because in order for an idea to be successful, it is not enough that the idea be good. It is also necessary that the idea is recognized as good by those who evaluate it. As the evaluation process becomes more accurate, good ideas are more likely to be funded and incentives for the creation of good ideas are enhanced.
A key contribution of our framework is a characterization of the role played by evaluating institutions in overcoming the inefficiencies resulting from decentralized interaction. These institutions act as intermediaries between innovators and users, and thus are able to redress the market failure resulting when ideas are evaluated in a more decentralized way.
By viewing evaluating institutions through a common lens, we perform a comparative analysis of the workings of such diverse institutions as research funding bodies, government regulators, and screening panels of venture capitalists. With techniques from the economic theory of mechanism design, we intend to characterize the best institutional design for idea evaluation. We then compare this ideal benchmark with actual institutions and characterize how it depends on the primitive ingredients of the environment. Lastly, through empirical and experimental testing, we propose changes to institution design parameters and suggest modifications to the mechanisms created for the purpose of evaluating ideas."
Max ERC Funding
1 142 200 €
Duration
Start date: 2012-06-01, End date: 2017-05-31
Project acronym FINIMPMACRO
Project Financial Imperfections and Macroeconomic Implications
Researcher (PI) Tommaso Monacelli
Host Institution (HI) UNIVERSITA COMMERCIALE LUIGI BOCCONI
Call Details Starting Grant (StG), SH1, ERC-2011-StG_20101124
Summary We plan to study the implications of financial market imperfections for four main questions.
First, how do financial imperfections affect the optimal conduct of monetary and exchange rate policy in open economies? A key insight is that we characterize financial frictions as endogenous and only occasionally binding. This can have important implications for the optimal conduct of stabilization policy.
Second, how do financial and labor market imperfections interact? We extend the standard search-and-matching model to allow firms to issue debt. This feature affects the wage bargaining process endogenously, since firms, by leveraging, can pay lower wages. We study the ability of such a model to replicate the volatility and persistence of unemployment in the data, and the role of financial imperfections in affecting the transmission of productivity and financial shocks.
Third, does the effectiveness of tax policy depend on its redistributive content, and how is this affected by financial imperfections? We characterize the distributional feature of several Tax Acts in the US, and investigate empirically whether tax changes that “favor the poor” are more expansionary than cuts that “favor the rich”. We then build a theoretical framework with heterogeneous agents and financial frictions to rationalize our evidence.
Fourth, how do financial intermediaries affect the transmission channel of monetary policy? We extend the current New Keynesian framework for monetary policy analysis to study the role of financial intermediaries. We emphasize the role of three features: (i) asymmetric information in interbank markets; (ii) maturity mismatch in the banks’ balance sheets; (iii) the “paradox of securitization”, thereby a deeper diversification of idiosyncratic risk leads to a simultaneous increase in the sensitivity of banks’ balance sheets to aggregate risk.
Summary
We plan to study the implications of financial market imperfections for four main questions.
First, how do financial imperfections affect the optimal conduct of monetary and exchange rate policy in open economies? A key insight is that we characterize financial frictions as endogenous and only occasionally binding. This can have important implications for the optimal conduct of stabilization policy.
Second, how do financial and labor market imperfections interact? We extend the standard search-and-matching model to allow firms to issue debt. This feature affects the wage bargaining process endogenously, since firms, by leveraging, can pay lower wages. We study the ability of such a model to replicate the volatility and persistence of unemployment in the data, and the role of financial imperfections in affecting the transmission of productivity and financial shocks.
Third, does the effectiveness of tax policy depend on its redistributive content, and how is this affected by financial imperfections? We characterize the distributional feature of several Tax Acts in the US, and investigate empirically whether tax changes that “favor the poor” are more expansionary than cuts that “favor the rich”. We then build a theoretical framework with heterogeneous agents and financial frictions to rationalize our evidence.
Fourth, how do financial intermediaries affect the transmission channel of monetary policy? We extend the current New Keynesian framework for monetary policy analysis to study the role of financial intermediaries. We emphasize the role of three features: (i) asymmetric information in interbank markets; (ii) maturity mismatch in the banks’ balance sheets; (iii) the “paradox of securitization”, thereby a deeper diversification of idiosyncratic risk leads to a simultaneous increase in the sensitivity of banks’ balance sheets to aggregate risk.
Max ERC Funding
778 800 €
Duration
Start date: 2012-01-01, End date: 2016-12-31
Project acronym FINLAB
Project Finance and Labor
Researcher (PI) Marco Pagano
Host Institution (HI) UNIVERSITA DEGLI STUDI DI NAPOLI FEDERICO II
Call Details Advanced Grant (AdG), SH1, ERC-2011-ADG_20110406
Summary How does financial market development affect employment, wages and unemployment risk? And how do labor market institutions and workers’ behavior in turn affect corporate policies?
These issues are much under-researched, in spite of their prominence in public debate, often ideologically polarized between those who consider finance as socially harmful and those who view it as an efficient allocation machine. Most economic research indicates that financial development raises output growth, but is silent about its effects on the labor market: does it also raise employment and wages? If so, is it at the expense of greater employment risk and inequality? And how does the potential for systemic financial instability affect the answers to these questions?
The study of these issues naturally opens also another – equally under-researched – line of inquiry: that concerning the effects of labor relations on financial arrangements. Do corporate investment policies and leverage decisions take into account their own effects on firms’ bargaining position in wage negotiations? And if so, how are these corporate decisions affected by job protection regulation, union density or workers’ protection in bankruptcy? To what extent do companies insure workers against employment risk, and do family and non-family firms differ in this respect? Finally, can labor market competition damage the performance of employees with decision-making responsibilities? For instance, can it induce managers or traders to take excessively risky decisions, by providing them with an escape route once they make mistakes, especially when outcomes are observed long after decisions?
This research project purports to break new ground on both sets of issues, using a combination of analytical modelling and empirical analysis, which in some cases will require the collection of entirely new data.
Summary
How does financial market development affect employment, wages and unemployment risk? And how do labor market institutions and workers’ behavior in turn affect corporate policies?
These issues are much under-researched, in spite of their prominence in public debate, often ideologically polarized between those who consider finance as socially harmful and those who view it as an efficient allocation machine. Most economic research indicates that financial development raises output growth, but is silent about its effects on the labor market: does it also raise employment and wages? If so, is it at the expense of greater employment risk and inequality? And how does the potential for systemic financial instability affect the answers to these questions?
The study of these issues naturally opens also another – equally under-researched – line of inquiry: that concerning the effects of labor relations on financial arrangements. Do corporate investment policies and leverage decisions take into account their own effects on firms’ bargaining position in wage negotiations? And if so, how are these corporate decisions affected by job protection regulation, union density or workers’ protection in bankruptcy? To what extent do companies insure workers against employment risk, and do family and non-family firms differ in this respect? Finally, can labor market competition damage the performance of employees with decision-making responsibilities? For instance, can it induce managers or traders to take excessively risky decisions, by providing them with an escape route once they make mistakes, especially when outcomes are observed long after decisions?
This research project purports to break new ground on both sets of issues, using a combination of analytical modelling and empirical analysis, which in some cases will require the collection of entirely new data.
Max ERC Funding
1 873 800 €
Duration
Start date: 2012-07-01, End date: 2018-06-30
Project acronym HEVO
Project Holomorphic Evolution Equations
Researcher (PI) Filippo Bracci
Host Institution (HI) UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA
Call Details Starting Grant (StG), PE1, ERC-2011-StG_20101014
Summary The scope of this project is to study holomorphic evolution equations and the associated dynamical systems, both from the local and the global point of view. In particular we aim to study general Loewner equations (both autonomous and non-autonomous) and applications to dynamical systems, in one and several complex variables. In one variable we plan to develop a general version of SLE's for non-slit evolutions and apply to physical and others problems. In several variables we plan to develop the general theory, together with applications.
Summary
The scope of this project is to study holomorphic evolution equations and the associated dynamical systems, both from the local and the global point of view. In particular we aim to study general Loewner equations (both autonomous and non-autonomous) and applications to dynamical systems, in one and several complex variables. In one variable we plan to develop a general version of SLE's for non-slit evolutions and apply to physical and others problems. In several variables we plan to develop the general theory, together with applications.
Max ERC Funding
700 000 €
Duration
Start date: 2011-11-01, End date: 2016-10-31