Project acronym DISCONEX
Project The Discursive Construction of Academic Excellence.
Classifying SSH Researchers Through Text-Processing Practices
Researcher (PI) Johannes Angermüller
Host Institution (HI) THE UNIVERSITY OF WARWICK
Call Details Starting Grant (StG), SH2, ERC-2012-StG_20111124
Summary DISCONEX investigates two types of text-processing practices by means of which academic researchers are classified in different national and disciplinary fields of the social sciences and humanities (SSH). The research project will produce theoretically informed and empirically grounded insights into the social organization of SSH research. Drawing from constructivist social theory and qualitative methods in discourse analysis and pragmatics, the research team investigates the discursive construction of excellence as a practical accomplishment of readers cooperating with texts. In a first step, we collect CVs from confirmed SSH researchers from France, Germany, the UK and the U.S.. Then we carry out reader interviews to investigate how membership is negotiated in specialized knowledge communities of the SSH. In a second step, we investigate non-academic practices of processing large text collections in order to account for how academic producers are ranked by evaluation professionals and calculative technologies. Finally, by comparing representations of excellence produced by academic and non-academic actors, DISCONEX will show how knowledge producers and ranking experts account for the representations of other types of readers respectively. In the light of the complex interpretive problems involved in the reading and writing of academic texts, we will produce reflexive knowledge on how SSH researchers are classified in the light of new modes of academic knowledge production. Given the important role that written texts play in SSH discourse, the exchange between the sociology of science and discourse analysis can help establish a new field: the social sciences and humanities studies (SSHS).
Summary
DISCONEX investigates two types of text-processing practices by means of which academic researchers are classified in different national and disciplinary fields of the social sciences and humanities (SSH). The research project will produce theoretically informed and empirically grounded insights into the social organization of SSH research. Drawing from constructivist social theory and qualitative methods in discourse analysis and pragmatics, the research team investigates the discursive construction of excellence as a practical accomplishment of readers cooperating with texts. In a first step, we collect CVs from confirmed SSH researchers from France, Germany, the UK and the U.S.. Then we carry out reader interviews to investigate how membership is negotiated in specialized knowledge communities of the SSH. In a second step, we investigate non-academic practices of processing large text collections in order to account for how academic producers are ranked by evaluation professionals and calculative technologies. Finally, by comparing representations of excellence produced by academic and non-academic actors, DISCONEX will show how knowledge producers and ranking experts account for the representations of other types of readers respectively. In the light of the complex interpretive problems involved in the reading and writing of academic texts, we will produce reflexive knowledge on how SSH researchers are classified in the light of new modes of academic knowledge production. Given the important role that written texts play in SSH discourse, the exchange between the sociology of science and discourse analysis can help establish a new field: the social sciences and humanities studies (SSHS).
Max ERC Funding
1 498 959 €
Duration
Start date: 2013-03-01, End date: 2018-08-31
Project acronym DIVLAB
Project Consumption Work and Societal Divisions of Labour
Researcher (PI) Miriam Anne Glucksmann
Host Institution (HI) UNIVERSITY OF ESSEX
Call Details Advanced Grant (AdG), SH2, ERC-2009-AdG
Summary Contemporary global developments in work and employment are transforming labour and reshaping relations between workers, creating new webs of interconnection across the world. This research programme aims to radically revise the foundational concept of the division of labour , by situating traditional understandings of the technical allocation of tasks within an expanded theoretical framework. Two additional dimensions of differentiation and interdependency of work activities are proposed, namely across socio-economic modes (market, non-market, etc.) and across the economic processes of production, distribution, exchange, and preparation for consumption. The approach will be developed by opening up a new research terrain of consumption work : all work undertaken by consumers necessary for the purchase, use, re-use and disposal of consumption goods. The work of consumers is shaped by its interdependency with that of providers, and vice versa, so providing a key to route to understanding the overall dynamics and variety of changing worlds of work. Three contrasting empirical probes are chosen for the questions each raises about consumption work and its increasing socio-economic importance: domestic broadband installation, food preparation and household recycling of waste. Analysis will centre for each on the varying nature of the interface and interaction between consumption work and systems of provision in five comparator countries (UK, Sweden, France, Taiwan, Korea) selected for their contrasting socio-economies. The research programme is global, comparative and historical, making a significant scientific and policy contribution, by advancing comprehension of key processes of ongoing socio-economic change, and establishing consumption work as a new field of enquiry.
Summary
Contemporary global developments in work and employment are transforming labour and reshaping relations between workers, creating new webs of interconnection across the world. This research programme aims to radically revise the foundational concept of the division of labour , by situating traditional understandings of the technical allocation of tasks within an expanded theoretical framework. Two additional dimensions of differentiation and interdependency of work activities are proposed, namely across socio-economic modes (market, non-market, etc.) and across the economic processes of production, distribution, exchange, and preparation for consumption. The approach will be developed by opening up a new research terrain of consumption work : all work undertaken by consumers necessary for the purchase, use, re-use and disposal of consumption goods. The work of consumers is shaped by its interdependency with that of providers, and vice versa, so providing a key to route to understanding the overall dynamics and variety of changing worlds of work. Three contrasting empirical probes are chosen for the questions each raises about consumption work and its increasing socio-economic importance: domestic broadband installation, food preparation and household recycling of waste. Analysis will centre for each on the varying nature of the interface and interaction between consumption work and systems of provision in five comparator countries (UK, Sweden, France, Taiwan, Korea) selected for their contrasting socio-economies. The research programme is global, comparative and historical, making a significant scientific and policy contribution, by advancing comprehension of key processes of ongoing socio-economic change, and establishing consumption work as a new field of enquiry.
Max ERC Funding
810 437 €
Duration
Start date: 2010-04-01, End date: 2013-12-31
Project acronym DMD
Project Dynamic Mechanism Design: Theory and Applications
Researcher (PI) Benedict Moldovanu
Host Institution (HI) RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONN
Call Details Advanced Grant (AdG), SH1, ERC-2009-AdG
Summary We plan to construct a theoretical bridge between classical dynamic allocation models used in Operations Research/Management Science, and between the modern theory of mechanism design. Our theoretical results will generate insights for the construction of applied pricing schemes and testable implications about the pattern of observed prices. The Economics literature has focused on information and incentive issues in static models, whereas the Operations Research/Management Science literature has looked at dynamic models that were often lacking strategic/ informational aspects. There is an increased recent interest in combining these bodies of knowledge, spurred by studies of yield management, and of decentralized platforms for interaction/ communication among agents. A general mechanism design analysis starts with the characterization of all dynamically implementable allocation policies. Variational arguments can be used then to characterize optimal policies. The research will focus on models with multidimensional incomplete information, such as: 1) Add incomplete information to the dynamic & stochastic knapsack problem; 2) Allow for strategic purchase time in dynamic pricing models; 3)Allow for competing mechanism designers. The ensuing control problems are often not standard and require special tools. An additional attack line will be devoted to models that combine design with learning about the environment. The information revealed by an agent affects then both the value of the current allocation, and the option value of future allocations. We plan to: 1) Derive the properties of learning processes that allow efficient, dynamic implementation; 2) Characterize second-best mechanism in cases where adaptive learning and efficiency are not compatible with each other.
Summary
We plan to construct a theoretical bridge between classical dynamic allocation models used in Operations Research/Management Science, and between the modern theory of mechanism design. Our theoretical results will generate insights for the construction of applied pricing schemes and testable implications about the pattern of observed prices. The Economics literature has focused on information and incentive issues in static models, whereas the Operations Research/Management Science literature has looked at dynamic models that were often lacking strategic/ informational aspects. There is an increased recent interest in combining these bodies of knowledge, spurred by studies of yield management, and of decentralized platforms for interaction/ communication among agents. A general mechanism design analysis starts with the characterization of all dynamically implementable allocation policies. Variational arguments can be used then to characterize optimal policies. The research will focus on models with multidimensional incomplete information, such as: 1) Add incomplete information to the dynamic & stochastic knapsack problem; 2) Allow for strategic purchase time in dynamic pricing models; 3)Allow for competing mechanism designers. The ensuing control problems are often not standard and require special tools. An additional attack line will be devoted to models that combine design with learning about the environment. The information revealed by an agent affects then both the value of the current allocation, and the option value of future allocations. We plan to: 1) Derive the properties of learning processes that allow efficient, dynamic implementation; 2) Characterize second-best mechanism in cases where adaptive learning and efficiency are not compatible with each other.
Max ERC Funding
1 123 200 €
Duration
Start date: 2010-05-01, End date: 2016-04-30
Project acronym DMEA
Project The Dynamics of Migration and Economic Adjustment
Researcher (PI) Christian Dustmann
Host Institution (HI) UNIVERSITY COLLEGE LONDON
Call Details Advanced Grant (AdG), SH1, ERC-2012-ADG_20120411
Summary The research proposed here is concerned with the dynamics of immigrant impacts and the process of economic adaptation in receiving societies. The immigration process is inherently dynamic: many new immigrants return home within a short time; and those that remain undergo a long term series of investments and behavioural changes that gradually alter the way that they interact with the economy of the receiving country. Moreover, in the longer run the presence of immigrants affects the choices of firms over new technology investments, and the choices of native workers over schooling and occupations. Thus simple static frameworks provide an incomplete and even potentially misleading perspective for understanding modern immigration patterns. The point of departure for this proposed research is the recognition that we need to reformulate the analysis of immigrant impacts in a fully dynamic framework, acknowledging the inter-temporal choices of immigrants, firms, and native workers and the ways that these three groups of agents interact over a longer horizon. Our approach involves treating immigration as a dynamic shock, where the dynamics relates to the different agents involved: immigrants, who change their position in the native skill distribution over time as a result of their life-cycle decisions; firms, who react by adjusting their technologies, product mix, and their involvement with institutions and regulatory environment; and native workers, who adjust by changing their career plans. Our work will combine highly innovative theoretical perspectives with state-of-the-art empirical analyses exploiting unique policy experiments and exceptional data sources, merging longitudinal administrative population data with data from firm and individual surveys. This agenda will enable us to construct a comprehensive picture of the adjustment process in response to immigration and open new horizons for future research on the impact of immigration in a dynamic framework.
Summary
The research proposed here is concerned with the dynamics of immigrant impacts and the process of economic adaptation in receiving societies. The immigration process is inherently dynamic: many new immigrants return home within a short time; and those that remain undergo a long term series of investments and behavioural changes that gradually alter the way that they interact with the economy of the receiving country. Moreover, in the longer run the presence of immigrants affects the choices of firms over new technology investments, and the choices of native workers over schooling and occupations. Thus simple static frameworks provide an incomplete and even potentially misleading perspective for understanding modern immigration patterns. The point of departure for this proposed research is the recognition that we need to reformulate the analysis of immigrant impacts in a fully dynamic framework, acknowledging the inter-temporal choices of immigrants, firms, and native workers and the ways that these three groups of agents interact over a longer horizon. Our approach involves treating immigration as a dynamic shock, where the dynamics relates to the different agents involved: immigrants, who change their position in the native skill distribution over time as a result of their life-cycle decisions; firms, who react by adjusting their technologies, product mix, and their involvement with institutions and regulatory environment; and native workers, who adjust by changing their career plans. Our work will combine highly innovative theoretical perspectives with state-of-the-art empirical analyses exploiting unique policy experiments and exceptional data sources, merging longitudinal administrative population data with data from firm and individual surveys. This agenda will enable us to construct a comprehensive picture of the adjustment process in response to immigration and open new horizons for future research on the impact of immigration in a dynamic framework.
Max ERC Funding
1 129 428 €
Duration
Start date: 2013-06-01, End date: 2018-05-31
Project acronym DOJSFL
Project The Dissolution of the Japanese Empire and the Struggle for Legitimacy in Postwar East Asia, 1945-1965
Researcher (PI) Barak Kushner
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Starting Grant (StG), SH6, ERC-2012-StG_20111124
Summary This five-year project aims to understand how political rule and legal authority were redrafted in postwar East Asia after the Japanese surrender in 1945. The research will shed light on the social and political transformations that continue to have deep resonance in our world in the form of East Asia’s regional alliances and Japan’s relations with its closest neighbors – China, North and South Korea, and Taiwan. The renovation of East Asia after the fall of the Japanese empire has mainly been written from a western perspective, owing to the preponderance of postwar American scholarship and its political dominance, but also the systematic declassification and easy access to government and private archival papers. Even with the economic rise and growing importance of contemporary China, the region’s understanding of its own past and its internal dynamics remain deeply rooted to the contours of the manner in which World War II ended. This narrative is linked to the process of how Japanese imperial rule was judged at the local level through war crimes trials and the pursuit of justice against imperial supporters. The search for war criminals, collaborators or suspected traitors offered a means to resolve the upturned former imperial hierarchies, dealing with grudges and finding justice for committed atrocities. Such moves demonstrated that the new authorities were “just,” a crucial element to bolster domestic and international mobilization campaigns for support. This new research makes clear that Japan’s sudden surrender in no way signified that the country would immediately disavow its extensive imperial ideology; such a move would require a long time to inculcate.
Summary
This five-year project aims to understand how political rule and legal authority were redrafted in postwar East Asia after the Japanese surrender in 1945. The research will shed light on the social and political transformations that continue to have deep resonance in our world in the form of East Asia’s regional alliances and Japan’s relations with its closest neighbors – China, North and South Korea, and Taiwan. The renovation of East Asia after the fall of the Japanese empire has mainly been written from a western perspective, owing to the preponderance of postwar American scholarship and its political dominance, but also the systematic declassification and easy access to government and private archival papers. Even with the economic rise and growing importance of contemporary China, the region’s understanding of its own past and its internal dynamics remain deeply rooted to the contours of the manner in which World War II ended. This narrative is linked to the process of how Japanese imperial rule was judged at the local level through war crimes trials and the pursuit of justice against imperial supporters. The search for war criminals, collaborators or suspected traitors offered a means to resolve the upturned former imperial hierarchies, dealing with grudges and finding justice for committed atrocities. Such moves demonstrated that the new authorities were “just,” a crucial element to bolster domestic and international mobilization campaigns for support. This new research makes clear that Japan’s sudden surrender in no way signified that the country would immediately disavow its extensive imperial ideology; such a move would require a long time to inculcate.
Max ERC Funding
1 463 924 €
Duration
Start date: 2013-03-01, End date: 2019-02-28
Project acronym DRASTIC
Project Apathy in schizophrenia: time for a DRASTIC (Dual Routes to Apathy in Schizophrenia: Treatment, Imaging, Cognition) study
Researcher (PI) Andreas Aleman
Host Institution (HI) ACADEMISCH ZIEKENHUIS GRONINGEN
Call Details Starting Grant (StG), SH4, ERC-2012-StG_20111124
Summary Apathy is a prominent and severely debilitating aspect of several psychiatric disorders, most notably schizophrenia. Little is known regarding the neuroscientific basis of apathy, however. Clinically, it has been suggested that two forms of apathy can be distinguished: cognitive apathy (CA) which concerns reduced initiative to start daily activities and social-emotional apathy (SEA) which concerns reduced interest in otherwise gratifying activities. I hypothesize that CA is primarily a dysfunction of cognitive control and self-initiated action, whereas SEA is primarily a failure to signal the salience of positive events. The present project, for the first time, tests the hypothesis that two neuroanatomically distinct routes underlie these two forms of apathy: a dorsal frontostriatal circuit including also the right parietal cortex for CA (associated with abnormalities of glutamate neurotransmission), and a more ventral frontostriatal circuit including the reward system for SEA (involving abnormal dopamine transmission). The objective of this project is threefold. First, to investigate the two neural circuits in relation to the two forms of apathy using functional MRI and positron emission tomography. Second, I will test the hypothesis that CA is associated with poorer long-term functioning using longitudinal data. Third, we will conduct a controlled treatment study of a novel intervention to improve CA: transcranial magnetic stimulation over the right prefrontal cortex to target the relevant network.
Thus, the present proposal aims to elucidate fundamental cognitive and emotional processes underlying apathy by unravelling the neural basis of two pathways that may lead to apathy. Last but not least, the treatment study may contribute to novel strategies that will ultimately improve patients’ lives. The results will also have implications for understanding apathy in patients with depression, brain damage and neurodegenerative diseases.
Summary
Apathy is a prominent and severely debilitating aspect of several psychiatric disorders, most notably schizophrenia. Little is known regarding the neuroscientific basis of apathy, however. Clinically, it has been suggested that two forms of apathy can be distinguished: cognitive apathy (CA) which concerns reduced initiative to start daily activities and social-emotional apathy (SEA) which concerns reduced interest in otherwise gratifying activities. I hypothesize that CA is primarily a dysfunction of cognitive control and self-initiated action, whereas SEA is primarily a failure to signal the salience of positive events. The present project, for the first time, tests the hypothesis that two neuroanatomically distinct routes underlie these two forms of apathy: a dorsal frontostriatal circuit including also the right parietal cortex for CA (associated with abnormalities of glutamate neurotransmission), and a more ventral frontostriatal circuit including the reward system for SEA (involving abnormal dopamine transmission). The objective of this project is threefold. First, to investigate the two neural circuits in relation to the two forms of apathy using functional MRI and positron emission tomography. Second, I will test the hypothesis that CA is associated with poorer long-term functioning using longitudinal data. Third, we will conduct a controlled treatment study of a novel intervention to improve CA: transcranial magnetic stimulation over the right prefrontal cortex to target the relevant network.
Thus, the present proposal aims to elucidate fundamental cognitive and emotional processes underlying apathy by unravelling the neural basis of two pathways that may lead to apathy. Last but not least, the treatment study may contribute to novel strategies that will ultimately improve patients’ lives. The results will also have implications for understanding apathy in patients with depression, brain damage and neurodegenerative diseases.
Max ERC Funding
1 499 780 €
Duration
Start date: 2013-04-01, End date: 2018-03-31
Project acronym DU
Project Demographic Uncertainty
Researcher (PI) Hippolyte Charles Guillaume D'albis
Host Institution (HI) ECOLE D'ECONOMIE DE PARIS
Call Details Starting Grant (StG), SH3, ERC-2011-StG_20101124
Summary "The aim of my research project is to build a mathematical model for the quantitative assessment of the effects of demographic changes on economic activity. It is an ambitious project as it involves the integration of the latest developments in demographic and economic models. It is also highly innovative as it proposes an original treatment of demographic uncertainty. Most existing models consider demographics as a deterministic variable and foresee a set of scenarios. At best, the models incorporate demographics as a risk variable and assume that agents know the stochastic process underlying the demographic dynamics. In the present research project, I wish to build a demographic-economic model in which the future demographics are uncertain. This will have three consequences. First, individual decisions are different and depend on the individuals' attitudes towards uncertainty. Second, the aggregation of individual decisions is more complex, especially because of the fact that the latter are not necessarily temporally consistent. Third, the approach to economic policy is renewed. The government is not necessarily perceived as an omniscient being who corrects market dysfunctions, but rather, it is itself under uncertainty and must compromise with the choices made by agents."
Summary
"The aim of my research project is to build a mathematical model for the quantitative assessment of the effects of demographic changes on economic activity. It is an ambitious project as it involves the integration of the latest developments in demographic and economic models. It is also highly innovative as it proposes an original treatment of demographic uncertainty. Most existing models consider demographics as a deterministic variable and foresee a set of scenarios. At best, the models incorporate demographics as a risk variable and assume that agents know the stochastic process underlying the demographic dynamics. In the present research project, I wish to build a demographic-economic model in which the future demographics are uncertain. This will have three consequences. First, individual decisions are different and depend on the individuals' attitudes towards uncertainty. Second, the aggregation of individual decisions is more complex, especially because of the fact that the latter are not necessarily temporally consistent. Third, the approach to economic policy is renewed. The government is not necessarily perceived as an omniscient being who corrects market dysfunctions, but rather, it is itself under uncertainty and must compromise with the choices made by agents."
Max ERC Funding
1 000 000 €
Duration
Start date: 2012-03-01, End date: 2017-02-28
Project acronym DYNACORP
Project Dynamic Structural Corporate Finance: Linking Theory and Empirical Testing
Researcher (PI) Christopher Anthony Hennessy
Host Institution (HI) LONDON BUSINESS SCHOOL
Call Details Starting Grant (StG), SH1, ERC-2011-StG_20101124
Summary There are three components to this project: Theory; Empirical Testing; and Dissemination. All components are linked to the current policy question of how taxes influence debt and systemic risk, and all use novel dynamic structural models. I am unique in explicitly linking such models to empirical testing.
Theory: “Learning, Capital Structure and Systemic Risk.” Standard dynamic structural models of financing assume firms know the stochastic process governing cash flow. I will first consider a partial equilibrium model. Here firms are exposed to rare event risk, with the true probability being unknown. Firms learn and update beliefs regarding risk. Relative to standard models, firms are debt conservative and there is leverage persistence. In many cases, firms increase leverage only if they have avoided a negative shock long enough. In order to analyze asset pricing implications, I plan to embed such firms in a general equilibrium setting with a common catastrophic risk having unknown probability. Firms rationally respond to “Great Moderations” by increasing leverage. Recessions are more severe after long tranquil periods due to high debt overhang. A third paper, Re-Examining the Link Between Leverage and Systematic Risk, considers cross sectional asset pricing implications of credit shocks. The standard levered beta formula is erroneous, and the pre-tax cost of capital increases with debt. Together, the models show privately optimal debt is lower than recognized, and that tax breaks for debt reduce welfare.
Empirical Testing: “Natural Experiment Policy Evaluation—A Structural Critique.” A common approach to testing whether taxes influence corporate financing and investment decisions is to compare leverage and investment before/after tax changes. I use a structural model as a laboratory to show that lack of a statistically significant change is not sufficient to reject the null that “taxes matter.” I will first consider an economy where the tax rate is a Markov process. Flotation costs on debt and real irreversibility limit the response of financing and investment to changes in shadow prices. More importantly, responses to tax changes are attenuated whenever they are partially anticipated and not permanent. Standard tests violate rational expectations by implicitly assuming tax changes come as surprises, with each new change being viewed as permanent, until the next surprise. My argument implies that standard tax experiments cannot falsify the null that taxes affect behaviour. Further, one cannot generalize elasticities if the policy transition matrix differs. I will propose an alternative Bayesian approach to hypothesis testing. My argument casts doubt on standard interpretations of historical evidence of tax change effects, suggesting true elasticities may be much higher. I will consider extending this argument to settings with endogenous policy choices.
“Dissemination. The objective of this phase is to lower entry barriers by making the methodology accessible via a non-technical primer, and by making the models readily available using a user-friendly online platform.
Summary
There are three components to this project: Theory; Empirical Testing; and Dissemination. All components are linked to the current policy question of how taxes influence debt and systemic risk, and all use novel dynamic structural models. I am unique in explicitly linking such models to empirical testing.
Theory: “Learning, Capital Structure and Systemic Risk.” Standard dynamic structural models of financing assume firms know the stochastic process governing cash flow. I will first consider a partial equilibrium model. Here firms are exposed to rare event risk, with the true probability being unknown. Firms learn and update beliefs regarding risk. Relative to standard models, firms are debt conservative and there is leverage persistence. In many cases, firms increase leverage only if they have avoided a negative shock long enough. In order to analyze asset pricing implications, I plan to embed such firms in a general equilibrium setting with a common catastrophic risk having unknown probability. Firms rationally respond to “Great Moderations” by increasing leverage. Recessions are more severe after long tranquil periods due to high debt overhang. A third paper, Re-Examining the Link Between Leverage and Systematic Risk, considers cross sectional asset pricing implications of credit shocks. The standard levered beta formula is erroneous, and the pre-tax cost of capital increases with debt. Together, the models show privately optimal debt is lower than recognized, and that tax breaks for debt reduce welfare.
Empirical Testing: “Natural Experiment Policy Evaluation—A Structural Critique.” A common approach to testing whether taxes influence corporate financing and investment decisions is to compare leverage and investment before/after tax changes. I use a structural model as a laboratory to show that lack of a statistically significant change is not sufficient to reject the null that “taxes matter.” I will first consider an economy where the tax rate is a Markov process. Flotation costs on debt and real irreversibility limit the response of financing and investment to changes in shadow prices. More importantly, responses to tax changes are attenuated whenever they are partially anticipated and not permanent. Standard tests violate rational expectations by implicitly assuming tax changes come as surprises, with each new change being viewed as permanent, until the next surprise. My argument implies that standard tax experiments cannot falsify the null that taxes affect behaviour. Further, one cannot generalize elasticities if the policy transition matrix differs. I will propose an alternative Bayesian approach to hypothesis testing. My argument casts doubt on standard interpretations of historical evidence of tax change effects, suggesting true elasticities may be much higher. I will consider extending this argument to settings with endogenous policy choices.
“Dissemination. The objective of this phase is to lower entry barriers by making the methodology accessible via a non-technical primer, and by making the models readily available using a user-friendly online platform.
Max ERC Funding
1 103 996 €
Duration
Start date: 2011-10-01, End date: 2015-09-30
Project acronym Dynamic Delegation
Project Implications of the Dynamic Nature of Portfolio Delegation
Researcher (PI) Ron Kaniel
Host Institution (HI) INTERDISCIPLINARY CENTER (IDC) HERZLIYA
Call Details Starting Grant (StG), SH1, ERC-2012-StG_20111124
Summary The asset management industry is a 60 trillion euros industry world wide, with a ratio of assets under management by asset managers to GDP around 100 percent. Despite the prominence of financial intermediaries in financial markets, our understanding of the portfolio delegation relationship, and its equilibrium asset pricing and contracting implications is at its infancy. The recent financial crisis has further underscored the importance of better understanding the incentives of financial intermediaries, the distortions induced by these incentives, the contracts that can help mitigate these distortions, and the impact of their trading on asset pricing dynamics.
One key feature that is at the core of the asset management relationship is its dynamic nature: investors can, and do, periodically re-allocate funds between managers and between funds and other investment vehicles. The magnitude of fund flows, both over time and accross funds at a given point in time, have been shown to be quantitatively large relative to assets under management. The ability of investors to quickly pull money out of funds at a time of crisis can have significant ramifications for the stability of the financial system.
Understanding implications of the dynamic nature of the delegation relationship is imperative in order to understand multiple aspects related to delegation and financial markets at large, including: risk taking behavior by funds; welfare implications for investors who invest in funds; what regulatory restrictions should be imposed on contracts; the evolution, past and future, of the asset management industry; securities return dynamics.
The objective is to develope models that will incorporate dynamic flows in settings that will allow studying implications and deriving empirical predictions on multiple dimensions: portfolio choice; optimal contracting; distribution of assets across funds; equilibrium asset pricing dynamics.
Summary
The asset management industry is a 60 trillion euros industry world wide, with a ratio of assets under management by asset managers to GDP around 100 percent. Despite the prominence of financial intermediaries in financial markets, our understanding of the portfolio delegation relationship, and its equilibrium asset pricing and contracting implications is at its infancy. The recent financial crisis has further underscored the importance of better understanding the incentives of financial intermediaries, the distortions induced by these incentives, the contracts that can help mitigate these distortions, and the impact of their trading on asset pricing dynamics.
One key feature that is at the core of the asset management relationship is its dynamic nature: investors can, and do, periodically re-allocate funds between managers and between funds and other investment vehicles. The magnitude of fund flows, both over time and accross funds at a given point in time, have been shown to be quantitatively large relative to assets under management. The ability of investors to quickly pull money out of funds at a time of crisis can have significant ramifications for the stability of the financial system.
Understanding implications of the dynamic nature of the delegation relationship is imperative in order to understand multiple aspects related to delegation and financial markets at large, including: risk taking behavior by funds; welfare implications for investors who invest in funds; what regulatory restrictions should be imposed on contracts; the evolution, past and future, of the asset management industry; securities return dynamics.
The objective is to develope models that will incorporate dynamic flows in settings that will allow studying implications and deriving empirical predictions on multiple dimensions: portfolio choice; optimal contracting; distribution of assets across funds; equilibrium asset pricing dynamics.
Max ERC Funding
728 436 €
Duration
Start date: 2013-01-01, End date: 2017-12-31
Project acronym DYNAMIC MODELS
Project Solving dynamic models: Theory and Applications
Researcher (PI) Felix Egbert Kübler
Host Institution (HI) UNIVERSITAT ZURICH
Call Details Starting Grant (StG), SH1, ERC-2011-StG_20101124
Summary The computation of equilibria in dynamic stochastic general
equilibrium models with heterogeneous agents has become
increasingly important in macroeconomics and public
finance. For a given example-economy, i.e. a given specification of
preferences, technologies and market-arrangements these methods
compute an (approximate) equilibrium and allow for quantitative
statements about one equilibrium of the example-economy.
Through these so-called 'computational experiments'
many economic insights can be obtained by analyzing
quantitative features of realistically calibrated models.
Unfortunately, economists often use ad hoc computational methods
with poorly understood properties that produce approximate solutions
of unknown quality.
The research-project outlined in this proposal
has three goals: Building theoretical foundations
for analyzing dynamic equilibrium models, developing efficient and stable
algorithms for the computation of equilibria in large scale models and
applying these algorithms to macroeconomic policy analysis.
Summary
The computation of equilibria in dynamic stochastic general
equilibrium models with heterogeneous agents has become
increasingly important in macroeconomics and public
finance. For a given example-economy, i.e. a given specification of
preferences, technologies and market-arrangements these methods
compute an (approximate) equilibrium and allow for quantitative
statements about one equilibrium of the example-economy.
Through these so-called 'computational experiments'
many economic insights can be obtained by analyzing
quantitative features of realistically calibrated models.
Unfortunately, economists often use ad hoc computational methods
with poorly understood properties that produce approximate solutions
of unknown quality.
The research-project outlined in this proposal
has three goals: Building theoretical foundations
for analyzing dynamic equilibrium models, developing efficient and stable
algorithms for the computation of equilibria in large scale models and
applying these algorithms to macroeconomic policy analysis.
Max ERC Funding
1 114 800 €
Duration
Start date: 2011-10-01, End date: 2016-09-30