Project acronym 2-HIT
Project Genetic interaction networks: From C. elegans to human disease
Researcher (PI) Ben Lehner
Host Institution (HI) FUNDACIO CENTRE DE REGULACIO GENOMICA
Call Details Starting Grant (StG), LS2, ERC-2007-StG
Summary Most hereditary diseases in humans are genetically complex, resulting from combinations of mutations in multiple genes. However synthetic interactions between genes are very difficult to identify in population studies because of a lack of statistical power and we fundamentally do not understand how mutations interact to produce phenotypes. C. elegans is a unique animal in which genetic interactions can be rapidly identified in vivo using RNA interference, and we recently used this system to construct the first genetic interaction network for any animal, focused on signal transduction genes. The first objective of this proposal is to extend this work and map a comprehensive genetic interaction network for this model metazoan. This project will provide the first insights into the global properties of animal genetic interaction networks, and a comprehensive view of the functional relationships between genes in an animal. The second objective of the proposal is to use C. elegans to develop and validate experimentally integrated gene networks that connect genes to phenotypes and predict genetic interactions on a genome-wide scale. The methods that we develop and validate in C. elegans will then be applied to predict phenotypes and interactions for human genes. The final objective is to dissect the molecular mechanisms underlying genetic interactions, and to understand how these interactions evolve. The combined aim of these three objectives is to generate a framework for understanding and predicting how mutations interact to produce phenotypes, including in human disease.
Summary
Most hereditary diseases in humans are genetically complex, resulting from combinations of mutations in multiple genes. However synthetic interactions between genes are very difficult to identify in population studies because of a lack of statistical power and we fundamentally do not understand how mutations interact to produce phenotypes. C. elegans is a unique animal in which genetic interactions can be rapidly identified in vivo using RNA interference, and we recently used this system to construct the first genetic interaction network for any animal, focused on signal transduction genes. The first objective of this proposal is to extend this work and map a comprehensive genetic interaction network for this model metazoan. This project will provide the first insights into the global properties of animal genetic interaction networks, and a comprehensive view of the functional relationships between genes in an animal. The second objective of the proposal is to use C. elegans to develop and validate experimentally integrated gene networks that connect genes to phenotypes and predict genetic interactions on a genome-wide scale. The methods that we develop and validate in C. elegans will then be applied to predict phenotypes and interactions for human genes. The final objective is to dissect the molecular mechanisms underlying genetic interactions, and to understand how these interactions evolve. The combined aim of these three objectives is to generate a framework for understanding and predicting how mutations interact to produce phenotypes, including in human disease.
Max ERC Funding
1 100 000 €
Duration
Start date: 2008-09-01, End date: 2014-04-30
Project acronym 4C
Project 4C technology: uncovering the multi-dimensional structure of the genome
Researcher (PI) Wouter Leonard De Laat
Host Institution (HI) KONINKLIJKE NEDERLANDSE AKADEMIE VAN WETENSCHAPPEN - KNAW
Call Details Starting Grant (StG), LS2, ERC-2007-StG
Summary The architecture of DNA in the cell nucleus is an emerging epigenetic key contributor to genome function. We recently developed 4C technology, a high-throughput technique that combines state-of-the-art 3C technology with tailored micro-arrays to uniquely allow for an unbiased genome-wide search for DNA loci that interact in the nuclear space. Based on 4C technology, we were the first to provide a comprehensive overview of long-range DNA contacts of selected loci. The data showed that active and inactive chromatin domains contact many distinct regions within and between chromosomes and genes switch long-range DNA contacts in relation to their expression status. 4C technology not only allows investigating the three-dimensional structure of DNA in the nucleus, it also accurately reconstructs at least 10 megabases of the one-dimensional chromosome sequence map around the target sequence. Changes in this physical map as a result of genomic rearrangements are therefore identified by 4C technology. We recently demonstrated that 4C detects deletions, balanced inversions and translocations in patient samples at a resolution (~7kb) that allowed immediate sequencing of the breakpoints. Excitingly, 4C technology therefore offers the first high-resolution genomic approach that can identify both balanced and unbalanced genomic rearrangements. 4C is expected to become an important tool in clinical diagnosis and prognosis. Key objectives of this proposal are: 1. Explore the functional significance of DNA folding in the nucleus by systematically applying 4C technology to differentially expressed gene loci. 2. Adapt 4C technology such that it allows for massive parallel analysis of DNA interactions between regulatory elements and gene promoters. This method would greatly facilitate the identification of functionally relevant DNA elements in the genome. 3. Develop 4C technology into a clinical diagnostic tool for the accurate detection of balanced and unbalanced rearrangements.
Summary
The architecture of DNA in the cell nucleus is an emerging epigenetic key contributor to genome function. We recently developed 4C technology, a high-throughput technique that combines state-of-the-art 3C technology with tailored micro-arrays to uniquely allow for an unbiased genome-wide search for DNA loci that interact in the nuclear space. Based on 4C technology, we were the first to provide a comprehensive overview of long-range DNA contacts of selected loci. The data showed that active and inactive chromatin domains contact many distinct regions within and between chromosomes and genes switch long-range DNA contacts in relation to their expression status. 4C technology not only allows investigating the three-dimensional structure of DNA in the nucleus, it also accurately reconstructs at least 10 megabases of the one-dimensional chromosome sequence map around the target sequence. Changes in this physical map as a result of genomic rearrangements are therefore identified by 4C technology. We recently demonstrated that 4C detects deletions, balanced inversions and translocations in patient samples at a resolution (~7kb) that allowed immediate sequencing of the breakpoints. Excitingly, 4C technology therefore offers the first high-resolution genomic approach that can identify both balanced and unbalanced genomic rearrangements. 4C is expected to become an important tool in clinical diagnosis and prognosis. Key objectives of this proposal are: 1. Explore the functional significance of DNA folding in the nucleus by systematically applying 4C technology to differentially expressed gene loci. 2. Adapt 4C technology such that it allows for massive parallel analysis of DNA interactions between regulatory elements and gene promoters. This method would greatly facilitate the identification of functionally relevant DNA elements in the genome. 3. Develop 4C technology into a clinical diagnostic tool for the accurate detection of balanced and unbalanced rearrangements.
Max ERC Funding
1 225 000 €
Duration
Start date: 2008-09-01, End date: 2013-08-31
Project acronym ACAP
Project Acency Costs and Asset Pricing
Researcher (PI) Thomas Mariotti
Host Institution (HI) FONDATION JEAN-JACQUES LAFFONT,TOULOUSE SCIENCES ECONOMIQUES
Call Details Starting Grant (StG), SH1, ERC-2007-StG
Summary The main objective of this research project is to contribute at bridging the gap between the two main branches of financial theory, namely corporate finance and asset pricing. It is motivated by the conviction that these two aspects of financial activity should and can be analyzed within a unified framework. This research will borrow from these two approaches in order to construct theoretical models that allow one to analyze the design and issuance of financial securities, as well as the dynamics of their valuations. Unlike asset pricing, which takes as given the price of the fundamentals, the goal is to derive security price processes from a precise description of firm’s operations and internal frictions. Regarding the latter, and in line with traditional corporate finance theory, the analysis will emphasize the role of agency costs within the firm for the design of its securities. But the analysis will be pushed one step further by studying the impact of these agency costs on key financial variables such as stock and bond prices, leverage, book-to-market ratios, default risk, or the holding of liquidities by firms. One of the contributions of this research project is to show how these variables are interrelated when firms and investors agree upon optimal financial arrangements. The final objective is to derive a rich set of testable asset pricing implications that would eventually be brought to the data.
Summary
The main objective of this research project is to contribute at bridging the gap between the two main branches of financial theory, namely corporate finance and asset pricing. It is motivated by the conviction that these two aspects of financial activity should and can be analyzed within a unified framework. This research will borrow from these two approaches in order to construct theoretical models that allow one to analyze the design and issuance of financial securities, as well as the dynamics of their valuations. Unlike asset pricing, which takes as given the price of the fundamentals, the goal is to derive security price processes from a precise description of firm’s operations and internal frictions. Regarding the latter, and in line with traditional corporate finance theory, the analysis will emphasize the role of agency costs within the firm for the design of its securities. But the analysis will be pushed one step further by studying the impact of these agency costs on key financial variables such as stock and bond prices, leverage, book-to-market ratios, default risk, or the holding of liquidities by firms. One of the contributions of this research project is to show how these variables are interrelated when firms and investors agree upon optimal financial arrangements. The final objective is to derive a rich set of testable asset pricing implications that would eventually be brought to the data.
Max ERC Funding
1 000 000 €
Duration
Start date: 2008-11-01, End date: 2014-10-31
Project acronym ALMP_ECON
Project Effective evaluation of active labour market policies in social insurance programs - improving the interaction between econometric evaluation estimators and economic theory
Researcher (PI) Bas Van Der Klaauw
Host Institution (HI) STICHTING VU
Call Details Starting Grant (StG), SH1, ERC-2007-StG
Summary In most European countries social insurance programs, like welfare, unemployment insurance and disability insurance are characterized by low reemployment rates. Therefore, governments spend huge amounts of money on active labour market programs, which should help individuals in finding work. Recent surveys indicate that programs which aim at intensifying job search behaviour are much more effective than schooling programs for improving human capital. A second conclusion from these surveys is that despite the size of the spendings on these programs, evidence on its effectiveness is limited. This research proposal aims at developing an economic framework that will be used to evaluate the effectiveness of popular programs like offering reemployment bonuses, fraud detection, workfare and job search monitoring. The main innovation is that I will combine economic theory with recently developed econometric techniques and detailed administrative data sets, which have not been explored before. While most of the literature only focuses on short-term outcomes, the available data allow me to also consider the long-term effectiveness of programs. The key advantage of an economic model is that I can compare the effectiveness of the different programs, consider modifications of programs and combinations of programs. Furthermore, using an economic model I can construct profiling measures to improve the targeting of programs to subsamples of the population. This is particularly relevant if the effectiveness of programs differs between individuals or depends on the moment in time the program is offered. Therefore, the results from this research will not only be of scientific interest, but will also be of great value to policymakers.
Summary
In most European countries social insurance programs, like welfare, unemployment insurance and disability insurance are characterized by low reemployment rates. Therefore, governments spend huge amounts of money on active labour market programs, which should help individuals in finding work. Recent surveys indicate that programs which aim at intensifying job search behaviour are much more effective than schooling programs for improving human capital. A second conclusion from these surveys is that despite the size of the spendings on these programs, evidence on its effectiveness is limited. This research proposal aims at developing an economic framework that will be used to evaluate the effectiveness of popular programs like offering reemployment bonuses, fraud detection, workfare and job search monitoring. The main innovation is that I will combine economic theory with recently developed econometric techniques and detailed administrative data sets, which have not been explored before. While most of the literature only focuses on short-term outcomes, the available data allow me to also consider the long-term effectiveness of programs. The key advantage of an economic model is that I can compare the effectiveness of the different programs, consider modifications of programs and combinations of programs. Furthermore, using an economic model I can construct profiling measures to improve the targeting of programs to subsamples of the population. This is particularly relevant if the effectiveness of programs differs between individuals or depends on the moment in time the program is offered. Therefore, the results from this research will not only be of scientific interest, but will also be of great value to policymakers.
Max ERC Funding
550 000 €
Duration
Start date: 2008-07-01, End date: 2013-06-30
Project acronym ANXIETY & COGNITION
Project How anxiety transforms human cognition: an Affective Neuroscience perspective
Researcher (PI) Gilles Roger Charles Pourtois
Host Institution (HI) UNIVERSITEIT GENT
Call Details Starting Grant (StG), SH3, ERC-2007-StG
Summary Anxiety, a state of apprehension or fear, may provoke cognitive or behavioural disorders and eventually lead to serious medical illnesses. The high prevalence of anxiety disorders in our society sharply contrasts with the lack of clear factual knowledge about the corresponding brain mechanisms at the origin of this profound change in the appraisal of the environment. Little is known about how the psychopathological state of anxiety ultimately turns to a medical condition. The core of this proposal is to gain insight in the neural underpinnings of anxiety and disorders related to anxiety using modern human brain-imaging such as scalp EEG and fMRI. I propose to enlighten how anxiety transforms and shapes human cognition and what the neural correlates and time-course of this modulatory effect are. The primary innovation of this project is the systematic use scalp EEG and fMRI in human participants to better understand the neural mechanisms by which anxiety profoundly influences specific cognitive functions, in particular selective attention and decision-making. The goal of this proposal is to precisely determine the exact timing (using scalp EEG), location, size and extent (using fMRI) of anxiety-related modulations on selective attention and decision-making in the human brain. Here I propose to focus on these two specific processes, because they are likely to reveal selective effects of anxiety on human cognition and can thus serve as powerful models to better figure out how anxiety operates in the human brain. Another important aspect of this project is the fact I envision to help bridge the gap in Health Psychology between fundamental research and clinical practice by proposing alternative revalidation strategies for human adult subjects affected by anxiety-related disorders, which could directly exploit the neuro-scientific discoveries generated in this scientific project.
Summary
Anxiety, a state of apprehension or fear, may provoke cognitive or behavioural disorders and eventually lead to serious medical illnesses. The high prevalence of anxiety disorders in our society sharply contrasts with the lack of clear factual knowledge about the corresponding brain mechanisms at the origin of this profound change in the appraisal of the environment. Little is known about how the psychopathological state of anxiety ultimately turns to a medical condition. The core of this proposal is to gain insight in the neural underpinnings of anxiety and disorders related to anxiety using modern human brain-imaging such as scalp EEG and fMRI. I propose to enlighten how anxiety transforms and shapes human cognition and what the neural correlates and time-course of this modulatory effect are. The primary innovation of this project is the systematic use scalp EEG and fMRI in human participants to better understand the neural mechanisms by which anxiety profoundly influences specific cognitive functions, in particular selective attention and decision-making. The goal of this proposal is to precisely determine the exact timing (using scalp EEG), location, size and extent (using fMRI) of anxiety-related modulations on selective attention and decision-making in the human brain. Here I propose to focus on these two specific processes, because they are likely to reveal selective effects of anxiety on human cognition and can thus serve as powerful models to better figure out how anxiety operates in the human brain. Another important aspect of this project is the fact I envision to help bridge the gap in Health Psychology between fundamental research and clinical practice by proposing alternative revalidation strategies for human adult subjects affected by anxiety-related disorders, which could directly exploit the neuro-scientific discoveries generated in this scientific project.
Max ERC Funding
812 986 €
Duration
Start date: 2008-11-01, End date: 2013-10-31
Project acronym AORVM
Project The Effects of Aging on Object Representation in Visual Working Memory
Researcher (PI) James Robert Brockmole
Host Institution (HI) THE UNIVERSITY OF EDINBURGH
Call Details Starting Grant (StG), SH3, ERC-2007-StG
Summary One’s ability to remember visual material such as objects, faces, and spatial locations over a short period of time declines with age. The proposed research will examine whether these deficits are explained by a reduction in visual working memory (VWM) capacity, or an impairment in one’s ability to maintain, or ‘bind’ appropriate associations among pieces of related information. In this project successful binding is operationally defined as the proper recall or recognition of objects that are defined by the conjunction of multiple visual features. While tests of long-term memory have demonstrated that, despite preserved memory for isolated features, older adults have more difficulty remembering conjunctions of features, no research has yet investigated analogous age related binding deficits in VWM. This is a critical oversight because, given the current state of the science, it is unknown whether these deficits are specific to the long-term memory system, or if they originate in VWM. The project interweaves three strands of research that each investigate whether older adults have more difficulty creating, maintaining, and updating bound multi-feature object representations than younger adults. This theoretical program of enquiry will provide insight into the cognitive architecture of VWM and how this system changes with age, and its outcomes will have wide ranging multi-disciplinary applications in applied theory and intervention techniques that may reduce the adverse consequences of aging on memory.
Summary
One’s ability to remember visual material such as objects, faces, and spatial locations over a short period of time declines with age. The proposed research will examine whether these deficits are explained by a reduction in visual working memory (VWM) capacity, or an impairment in one’s ability to maintain, or ‘bind’ appropriate associations among pieces of related information. In this project successful binding is operationally defined as the proper recall or recognition of objects that are defined by the conjunction of multiple visual features. While tests of long-term memory have demonstrated that, despite preserved memory for isolated features, older adults have more difficulty remembering conjunctions of features, no research has yet investigated analogous age related binding deficits in VWM. This is a critical oversight because, given the current state of the science, it is unknown whether these deficits are specific to the long-term memory system, or if they originate in VWM. The project interweaves three strands of research that each investigate whether older adults have more difficulty creating, maintaining, and updating bound multi-feature object representations than younger adults. This theoretical program of enquiry will provide insight into the cognitive architecture of VWM and how this system changes with age, and its outcomes will have wide ranging multi-disciplinary applications in applied theory and intervention techniques that may reduce the adverse consequences of aging on memory.
Max ERC Funding
500 000 €
Duration
Start date: 2008-09-01, End date: 2011-08-31
Project acronym CDNF
Project Compartmentalization and dynamics of Nuclear functions
Researcher (PI) Angela Taddei
Host Institution (HI) INSTITUT CURIE
Call Details Starting Grant (StG), LS2, ERC-2007-StG
Summary The eukaryotic genome is packaged into large-scale chromatin structures that occupy distinct domains in the nucleus and this organization is now seen as a key contributor to genome functions. Two key functions of the genome can take advantage of nuclear organization: regulated gene expression and the propagation of a stable genome. To understand these fundamental processes, we have chosen to use yeast as a model system that allows genetics, molecular biology and advanced live microscopy approaches to be combined. Budding yeast have been very powerful to demonstrate that gene position can play an active role in regulating gene expression. Distinct subcompartments dedicated to either gene silencing or activation of specific genes are positioned at the nuclear periphery. To gain insight into the mechanisms underlying this sub-compartmentalization, we will address three complementary issues: - What are the mechanisms involved in the establishment and maintenance of silent nuclear compartments? - How and why are some activated genes recruited to the nuclear periphery? - What are the relationships between repressive and activating nuclear compartments? Concerning the maintenance of genome integrity, recent advances in yeast highlight the importance of nuclear architecture. However, how nuclear organization influences the formation and processing of DNA lesions remain poorly understood. We will focus on two main questions: - How and where in the nucleus are double strand breaks recognized, processed, and repaired? - Where do breaks or gaps resulting from replicative stress at 'fragile sites' arise in the nucleus and how does nuclear organization influence their stability? We hope to gain a better understanding of the mechanisms presiding nuclear organization and its importance for genome functions. These mechanisms are likely to be conserved and will be subsequently tested in higher eukaryotic cells.
Summary
The eukaryotic genome is packaged into large-scale chromatin structures that occupy distinct domains in the nucleus and this organization is now seen as a key contributor to genome functions. Two key functions of the genome can take advantage of nuclear organization: regulated gene expression and the propagation of a stable genome. To understand these fundamental processes, we have chosen to use yeast as a model system that allows genetics, molecular biology and advanced live microscopy approaches to be combined. Budding yeast have been very powerful to demonstrate that gene position can play an active role in regulating gene expression. Distinct subcompartments dedicated to either gene silencing or activation of specific genes are positioned at the nuclear periphery. To gain insight into the mechanisms underlying this sub-compartmentalization, we will address three complementary issues: - What are the mechanisms involved in the establishment and maintenance of silent nuclear compartments? - How and why are some activated genes recruited to the nuclear periphery? - What are the relationships between repressive and activating nuclear compartments? Concerning the maintenance of genome integrity, recent advances in yeast highlight the importance of nuclear architecture. However, how nuclear organization influences the formation and processing of DNA lesions remain poorly understood. We will focus on two main questions: - How and where in the nucleus are double strand breaks recognized, processed, and repaired? - Where do breaks or gaps resulting from replicative stress at 'fragile sites' arise in the nucleus and how does nuclear organization influence their stability? We hope to gain a better understanding of the mechanisms presiding nuclear organization and its importance for genome functions. These mechanisms are likely to be conserved and will be subsequently tested in higher eukaryotic cells.
Max ERC Funding
1 000 000 €
Duration
Start date: 2008-09-01, End date: 2014-05-31
Project acronym CHANGE-POINT TESTS
Project New Results on Structural Change Tests: Theory and Applications
Researcher (PI) Elena Andreou
Host Institution (HI) UNIVERSITY OF CYPRUS
Call Details Starting Grant (StG), SH1, ERC-2007-StG
Summary The research project has two broad objectives and provides novel results in the literature of structural change or change-point tests. The first objective is to provide two new methods for restoring the non-monotone power problem of a large family of structural breaks tests that have been widely used in econometrics and statistics, as well as to show that these methods have additional contributions and can be extended to: (i) tests for a change in persistence, (ii) partial sums tests of cointegration and (iii) tests for changes in dynamic volatility models. The significance of these methods is demonstrated via the consistency of the long-run variance estimator which scales the change-point statistics, the asymptotic properties of the tests, their finite sample performance and their relevance in empirical applications and policy analysis. The second objective is threefold: First, to show that ignoring structural changes in financial time series yields biased and inconsistent risk management (Value at Risk, VaR and Excess Shortfall, ES) estimates and consequently leads to investment misallocations. Second, to propose methods for evaluating the stability of financial time series sequentially or on-line which can be used as a quality control procedure for financial risk management as well as to show that monitoring implied volatilities yields early warning indicators of a changing risk structure. Moreover we show that model averaging in the presence of structural breaks as well as other model uncertainties involved in risk management estimates, can provide robust estimates of VaR and ES. New results are derived on the optimal weights for model averaging in the context of dynamic volatility models and asymmetric loss functions. Third, we propose a novel way to construct prediction-based change-point statistics that reduce the detection delay of existing sequential tests and provide a probability about the likelihood of a structural change.
Summary
The research project has two broad objectives and provides novel results in the literature of structural change or change-point tests. The first objective is to provide two new methods for restoring the non-monotone power problem of a large family of structural breaks tests that have been widely used in econometrics and statistics, as well as to show that these methods have additional contributions and can be extended to: (i) tests for a change in persistence, (ii) partial sums tests of cointegration and (iii) tests for changes in dynamic volatility models. The significance of these methods is demonstrated via the consistency of the long-run variance estimator which scales the change-point statistics, the asymptotic properties of the tests, their finite sample performance and their relevance in empirical applications and policy analysis. The second objective is threefold: First, to show that ignoring structural changes in financial time series yields biased and inconsistent risk management (Value at Risk, VaR and Excess Shortfall, ES) estimates and consequently leads to investment misallocations. Second, to propose methods for evaluating the stability of financial time series sequentially or on-line which can be used as a quality control procedure for financial risk management as well as to show that monitoring implied volatilities yields early warning indicators of a changing risk structure. Moreover we show that model averaging in the presence of structural breaks as well as other model uncertainties involved in risk management estimates, can provide robust estimates of VaR and ES. New results are derived on the optimal weights for model averaging in the context of dynamic volatility models and asymmetric loss functions. Third, we propose a novel way to construct prediction-based change-point statistics that reduce the detection delay of existing sequential tests and provide a probability about the likelihood of a structural change.
Max ERC Funding
517 200 €
Duration
Start date: 2008-09-01, End date: 2013-08-31
Project acronym CIDAM
Project Conflict, Identity and Markets
Researcher (PI) Eliana La Ferrara
Host Institution (HI) UNIVERSITA COMMERCIALE LUIGI BOCCONI
Call Details Starting Grant (StG), SH1, ERC-2007-StG
Summary The developing world has been plagued by many civil conflicts in the past thirty years. Understanding the roots and the consequences of these conflicts is crucial to fight poverty. This project will take an economic approach to investigate the interplay between cultural, political and economic determinants of conflict in poor countries. I will assess the role of domestic and international factors. Domestic factors include variables such as cultural identity, income inequality, resource endowments and geography. I will re-examine the role of ethnic diversity using original multi-dimensional indicators. These take into account that the salience of ethnic identity may depend on how much it overlaps with categories based on income, education, etc. I will also re-assess the role of natural resource abundance from a theoretical and empirical standpoint. I will develop a theory of how rebel groups are organized drawing on the theory of incentives and test it using detailed geographic information on the location of mineral deposits in Africa. I will also analyze the role of international players using a methodology based on financial markets’ reactions to news. This methodology will allow me to address questions such as: Which companies gain or lose from violent conflict? How can we detect violations of international embargoes? What are the private incentives of complying with international norms, i.e. can reputation costs be quantified? These are questions of paramount importance from a policy perspective and on which almost no academic research exists in economics. Overall, the project should help integrate economic, social and political explanations for the occurrence of conflict in developing countries. I expect that its outcome should comprise the creation of new datasets, propose new methodological tools and offer some insights for designing economic policies to prevent conflict and fight poverty.
Summary
The developing world has been plagued by many civil conflicts in the past thirty years. Understanding the roots and the consequences of these conflicts is crucial to fight poverty. This project will take an economic approach to investigate the interplay between cultural, political and economic determinants of conflict in poor countries. I will assess the role of domestic and international factors. Domestic factors include variables such as cultural identity, income inequality, resource endowments and geography. I will re-examine the role of ethnic diversity using original multi-dimensional indicators. These take into account that the salience of ethnic identity may depend on how much it overlaps with categories based on income, education, etc. I will also re-assess the role of natural resource abundance from a theoretical and empirical standpoint. I will develop a theory of how rebel groups are organized drawing on the theory of incentives and test it using detailed geographic information on the location of mineral deposits in Africa. I will also analyze the role of international players using a methodology based on financial markets’ reactions to news. This methodology will allow me to address questions such as: Which companies gain or lose from violent conflict? How can we detect violations of international embargoes? What are the private incentives of complying with international norms, i.e. can reputation costs be quantified? These are questions of paramount importance from a policy perspective and on which almost no academic research exists in economics. Overall, the project should help integrate economic, social and political explanations for the occurrence of conflict in developing countries. I expect that its outcome should comprise the creation of new datasets, propose new methodological tools and offer some insights for designing economic policies to prevent conflict and fight poverty.
Max ERC Funding
429 480 €
Duration
Start date: 2008-06-01, End date: 2013-05-31
Project acronym CODEC
Project Consequences of Demographic Change
Researcher (PI) Arnstein Aassve
Host Institution (HI) UNIVERSITA COMMERCIALE LUIGI BOCCONI
Call Details Starting Grant (StG), SH1, ERC-2007-StG
Summary The project will be using the Gender and Generations Surveys (GGS) – a system of comparable micro-level surveys for several Developed countries – to analyse the consequences of demographic change. The analysis will be using households and individuals as the unit of observation. As a result, we will be able to make inferences about how certain demographic behaviours (i.e. childbearing, marital disruption, single motherhood, leaving home), including their timing and sequencing, affect certain outcomes, such as income, poverty, deprivation, together with various child outcomes. This analysis is particularly relevant given recent demographic trends in developed countries (e.g. divorce rates are increasing, out-of-wedlock childbearing is becoming more prevalent, and general delay in key demographic events such as childbearing and leaving the parental home). The novelty of the study is driven by its focus on consequences of newly emerging demographic patterns and behaviour, which is in contrast to the majority of previous demographic studies – which has tended to focus on the determinants behind these trends. Policy analysis has not had a strong tradition in Demography and the aim of this project is to rectify this shortcoming of the discipline. By focusing on the consequences of demographic change and using techniques that are borrowed from program evaluation, econometrics, applied statistics and empirical sociology, we aim to advance the understanding of how demographic events impact other important processes in the life course of individuals and how policy makers can best influence such outcomes by appropriate policy interventions.
Summary
The project will be using the Gender and Generations Surveys (GGS) – a system of comparable micro-level surveys for several Developed countries – to analyse the consequences of demographic change. The analysis will be using households and individuals as the unit of observation. As a result, we will be able to make inferences about how certain demographic behaviours (i.e. childbearing, marital disruption, single motherhood, leaving home), including their timing and sequencing, affect certain outcomes, such as income, poverty, deprivation, together with various child outcomes. This analysis is particularly relevant given recent demographic trends in developed countries (e.g. divorce rates are increasing, out-of-wedlock childbearing is becoming more prevalent, and general delay in key demographic events such as childbearing and leaving the parental home). The novelty of the study is driven by its focus on consequences of newly emerging demographic patterns and behaviour, which is in contrast to the majority of previous demographic studies – which has tended to focus on the determinants behind these trends. Policy analysis has not had a strong tradition in Demography and the aim of this project is to rectify this shortcoming of the discipline. By focusing on the consequences of demographic change and using techniques that are borrowed from program evaluation, econometrics, applied statistics and empirical sociology, we aim to advance the understanding of how demographic events impact other important processes in the life course of individuals and how policy makers can best influence such outcomes by appropriate policy interventions.
Max ERC Funding
750 000 €
Duration
Start date: 2008-07-01, End date: 2013-06-30
