Project acronym ABEP
Project Asset Bubbles and Economic Policy
Researcher (PI) Jaume Ventura Fontanet
Host Institution (HI) Centre de Recerca en Economia Internacional (CREI)
Call Details Advanced Grant (AdG), SH1, ERC-2009-AdG
Summary Advanced capitalist economies experience large and persistent movements in asset prices that are difficult to justify with economic fundamentals. The internet bubble of the 1990s and the real state market bubble of the 2000s are two recent examples. The predominant view is that these bubbles are a market failure, and are caused by some form of individual irrationality on the part of market participants. This project is based instead on the view that market participants are individually rational, although this does not preclude sometimes collectively sub-optimal outcomes. Bubbles are thus not a source of market failure by themselves but instead arise as a result of a pre-existing market failure, namely, the existence of pockets of dynamically inefficient investments. Under some conditions, bubbles partly solve this problem, increasing market efficiency and welfare. It is also possible however that bubbles do not solve the underlying problem and, in addition, create negative side-effects. The main objective of this project is to develop this view of asset bubbles, and produce an empirically-relevant macroeconomic framework that allows us to address the following questions: (i) What is the relationship between bubbles and financial market frictions? Special emphasis is given to how the globalization of financial markets and the development of new financial products affect the size and effects of bubbles. (ii) What is the relationship between bubbles, economic growth and unemployment? The theory suggests the presence of virtuous and vicious cycles, as economic growth creates the conditions for bubbles to pop up, while bubbles create incentives for economic growth to happen. (iii) What is the optimal policy to manage bubbles? We need to develop the tools that allow policy makers to sustain those bubbles that have positive effects and burst those that have negative effects.
Summary
Advanced capitalist economies experience large and persistent movements in asset prices that are difficult to justify with economic fundamentals. The internet bubble of the 1990s and the real state market bubble of the 2000s are two recent examples. The predominant view is that these bubbles are a market failure, and are caused by some form of individual irrationality on the part of market participants. This project is based instead on the view that market participants are individually rational, although this does not preclude sometimes collectively sub-optimal outcomes. Bubbles are thus not a source of market failure by themselves but instead arise as a result of a pre-existing market failure, namely, the existence of pockets of dynamically inefficient investments. Under some conditions, bubbles partly solve this problem, increasing market efficiency and welfare. It is also possible however that bubbles do not solve the underlying problem and, in addition, create negative side-effects. The main objective of this project is to develop this view of asset bubbles, and produce an empirically-relevant macroeconomic framework that allows us to address the following questions: (i) What is the relationship between bubbles and financial market frictions? Special emphasis is given to how the globalization of financial markets and the development of new financial products affect the size and effects of bubbles. (ii) What is the relationship between bubbles, economic growth and unemployment? The theory suggests the presence of virtuous and vicious cycles, as economic growth creates the conditions for bubbles to pop up, while bubbles create incentives for economic growth to happen. (iii) What is the optimal policy to manage bubbles? We need to develop the tools that allow policy makers to sustain those bubbles that have positive effects and burst those that have negative effects.
Max ERC Funding
1 000 000 €
Duration
Start date: 2010-04-01, End date: 2015-03-31
Project acronym CHINA
Project Trade, Productivity, and Firm Capabilities in China's Manufacturing Sector
Researcher (PI) Johannes Van Biesebroeck
Host Institution (HI) KATHOLIEKE UNIVERSITEIT LEUVEN
Call Details Starting Grant (StG), SH1, ERC-2009-StG
Summary China s economy has expanded at breakneck speed to become the 3rd largest trading country in the world and the largest recipient of foreign direct investment (FDI). Entry into the WTO in 2001 was a landmark event in this ongoing process and I propose to study several channels through which it spurred China s industrial development. Crucially, I will take an integrated view of the different ways in which Chinese and Western firms interact: through trade flows, as suppliers or competitors, FDI, or knowledge transfers. First, I investigate the existence and magnitude of a causal link from the trade reforms to productivity growth. Second, I look for evidence of capability upgrading, such as increased production efficiency, an ability to produce higher quality products, or introduce new products by innovating. Third, I study the mechanisms for the impact of trade and FDI on local firms, in particular assessing the relative importance of increased market competition and the transfer of know-how from foreign firms. For this analysis, I draw heavily on a unique data set. Information on the universe of Chinese manufacturing firms is being linked to the universe of Chinese trade transactions. These are unique research tools on their own, but as a linked data set, the only comparable one in the world is for the U.S. economy. The Chinese data has the advantage to contain detailed information on FDI, distinguishes between ordinary and processing trade, and contains information on innovation, such as R&D and sales of new goods. Answering the above questions is important for other developing countries wanting to learn from China s experience and for Western firms assessing how quickly Chinese firms will become viable suppliers of sophisticated inputs or direct competitors. By estimating models that are explicitly derived from new theories, I advance the literature at the interaction of international and development economics, industrial organization, economic geography.
Summary
China s economy has expanded at breakneck speed to become the 3rd largest trading country in the world and the largest recipient of foreign direct investment (FDI). Entry into the WTO in 2001 was a landmark event in this ongoing process and I propose to study several channels through which it spurred China s industrial development. Crucially, I will take an integrated view of the different ways in which Chinese and Western firms interact: through trade flows, as suppliers or competitors, FDI, or knowledge transfers. First, I investigate the existence and magnitude of a causal link from the trade reforms to productivity growth. Second, I look for evidence of capability upgrading, such as increased production efficiency, an ability to produce higher quality products, or introduce new products by innovating. Third, I study the mechanisms for the impact of trade and FDI on local firms, in particular assessing the relative importance of increased market competition and the transfer of know-how from foreign firms. For this analysis, I draw heavily on a unique data set. Information on the universe of Chinese manufacturing firms is being linked to the universe of Chinese trade transactions. These are unique research tools on their own, but as a linked data set, the only comparable one in the world is for the U.S. economy. The Chinese data has the advantage to contain detailed information on FDI, distinguishes between ordinary and processing trade, and contains information on innovation, such as R&D and sales of new goods. Answering the above questions is important for other developing countries wanting to learn from China s experience and for Western firms assessing how quickly Chinese firms will become viable suppliers of sophisticated inputs or direct competitors. By estimating models that are explicitly derived from new theories, I advance the literature at the interaction of international and development economics, industrial organization, economic geography.
Max ERC Funding
944 940 €
Duration
Start date: 2010-02-01, End date: 2016-01-31
Project acronym COGNITION
Project Cognition and Decision-Making: Laws, Norms and Contracts
Researcher (PI) Jean Tirole
Host Institution (HI) FONDATION JEAN-JACQUES LAFFONT,TOULOUSE SCIENCES ECONOMIQUES
Call Details Advanced Grant (AdG), SH1, ERC-2009-AdG
Summary The application's unifying theme is cognition. Any decision reflects the information that comes to the decision-maker's awareness at the moment of making the decision. In turn, this information is the stochastic outcome of a sequence of more or less conscious choices and of awareness manipulation by third parties. The three parts of this application all are concerned with two factors of limited awareness (cognitive costs and motivated beliefs) and with the application of imperfect cognition to economics. The various projects can be subsumed into three themes, each with different subprojects: 1. Self-serving beliefs, laws, norms and taboos (expressive function of the law, taboos, dignity and contracts). 2. Cognition, markets, and contracts (mechanism design under costly cognition, directing attention in markets and politics). 3. Cognition and individual decision-making (foundations of some non-standard preferences). The methodology for this research will be that of formal economic modeling and welfare analysis, enriched with important insights from psychology and sociology. It will also include experimental (laboratory) investigations. The output will first take the form of a series of articles in economics journals, as well as, for the research described in Part 1, a book to disseminate the research to broader, multidisciplinary and non-specialized audiences.
Summary
The application's unifying theme is cognition. Any decision reflects the information that comes to the decision-maker's awareness at the moment of making the decision. In turn, this information is the stochastic outcome of a sequence of more or less conscious choices and of awareness manipulation by third parties. The three parts of this application all are concerned with two factors of limited awareness (cognitive costs and motivated beliefs) and with the application of imperfect cognition to economics. The various projects can be subsumed into three themes, each with different subprojects: 1. Self-serving beliefs, laws, norms and taboos (expressive function of the law, taboos, dignity and contracts). 2. Cognition, markets, and contracts (mechanism design under costly cognition, directing attention in markets and politics). 3. Cognition and individual decision-making (foundations of some non-standard preferences). The methodology for this research will be that of formal economic modeling and welfare analysis, enriched with important insights from psychology and sociology. It will also include experimental (laboratory) investigations. The output will first take the form of a series of articles in economics journals, as well as, for the research described in Part 1, a book to disseminate the research to broader, multidisciplinary and non-specialized audiences.
Max ERC Funding
1 910 400 €
Duration
Start date: 2010-04-01, End date: 2016-03-31
Project acronym DCFM
Project Default and Collateral in Financial Markets
Researcher (PI) Ioannis Vailakis
Host Institution (HI) THE UNIVERSITY OF EXETER
Call Details Starting Grant (StG), SH1, ERC-2009-StG
Summary The main objective of this project is to research the economic implications of default and collateral in financial markets. It is motivated from the observation that much of the lending in modern economies is secured by some form of collateral and by the empirical fact that modern economies experience a substantial amount of default and bankruptcy. From a theoretical perspective, the research aims to explore new ways of modelling default and collateral and employ them to evaluate the impact of default and collateral on market outcomes. From a policy recommendation perspective, the research aims to develop models with testable implications that can be used by practitioners to discuss the consequences of a wide range of policies. In particular, to explore which kind of regulation procedures should be implemented in order to lower the risk of default and at the same time not to reduce too much risk-sharing. The agenda includes two research directions. The first research direction will focus on the implications of default and collateral in economies with bounded rational agents. Our aim is to understand how default and collateral affect market outcomes in environments where agents are allowed to have very divergent and therefore possibly incorrect beliefs about endogenous economic variables like future prices and delivery rates. The second research direction will focus on the implications of default and collateral in economies with an open ended horizon. Our aim is to investigate endogenous debt constraints that are compatible with equilibrium and simultaneously allow for as much risk sharing as possible.
Summary
The main objective of this project is to research the economic implications of default and collateral in financial markets. It is motivated from the observation that much of the lending in modern economies is secured by some form of collateral and by the empirical fact that modern economies experience a substantial amount of default and bankruptcy. From a theoretical perspective, the research aims to explore new ways of modelling default and collateral and employ them to evaluate the impact of default and collateral on market outcomes. From a policy recommendation perspective, the research aims to develop models with testable implications that can be used by practitioners to discuss the consequences of a wide range of policies. In particular, to explore which kind of regulation procedures should be implemented in order to lower the risk of default and at the same time not to reduce too much risk-sharing. The agenda includes two research directions. The first research direction will focus on the implications of default and collateral in economies with bounded rational agents. Our aim is to understand how default and collateral affect market outcomes in environments where agents are allowed to have very divergent and therefore possibly incorrect beliefs about endogenous economic variables like future prices and delivery rates. The second research direction will focus on the implications of default and collateral in economies with an open ended horizon. Our aim is to investigate endogenous debt constraints that are compatible with equilibrium and simultaneously allow for as much risk sharing as possible.
Max ERC Funding
156 538 €
Duration
Start date: 2010-06-01, End date: 2012-06-30
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 EATP
Project Evolutionary Approaches Towards Preferences
Researcher (PI) Balazs Szentes
Host Institution (HI) LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
Call Details Starting Grant (StG), SH1, ERC-2009-StG
Summary A recent psychological and experimental literature on human behavior suggests that standard preferences assumed in economic models are inadequate to explain human choice behaviors in numerous environments. The primary objective of this project is to establish evolutionary foundations for non-standard preferences. Most models in economics take preferences as given and derive the choices induced by these preferences. We intend to do just the opposite. We characterize the choice behavior that would survive evolution and then represent this choice behavior with preferences. That is, we identify the preferences that induce evolutionarily stable choice behavior. We identify each choice behavior with a gene. Hence, the choices an individual makes during her lifetime are determined by her genes, where these are inherited from her parents. A population can be defined as a group of individuals having the same genes. Populations with different genes may grow at different rates. Only those genes that induce the highest possible population growth rate given the physical environment survive evolution. We wish to apply the principle described above to derive implications for time preferences, preference for similarities, preferences for discrimination, preferences for conformity, and other important socio-economic behaviors. The goal of the project is to provide a theoretical guidance for which preferences are admissible and which are not likely to arise.
Summary
A recent psychological and experimental literature on human behavior suggests that standard preferences assumed in economic models are inadequate to explain human choice behaviors in numerous environments. The primary objective of this project is to establish evolutionary foundations for non-standard preferences. Most models in economics take preferences as given and derive the choices induced by these preferences. We intend to do just the opposite. We characterize the choice behavior that would survive evolution and then represent this choice behavior with preferences. That is, we identify the preferences that induce evolutionarily stable choice behavior. We identify each choice behavior with a gene. Hence, the choices an individual makes during her lifetime are determined by her genes, where these are inherited from her parents. A population can be defined as a group of individuals having the same genes. Populations with different genes may grow at different rates. Only those genes that induce the highest possible population growth rate given the physical environment survive evolution. We wish to apply the principle described above to derive implications for time preferences, preference for similarities, preferences for discrimination, preferences for conformity, and other important socio-economic behaviors. The goal of the project is to provide a theoretical guidance for which preferences are admissible and which are not likely to arise.
Max ERC Funding
600 000 €
Duration
Start date: 2010-01-01, End date: 2015-12-31
Project acronym EDSGEL
Project Likelihood-based estimation of non-linear and non-normal DSGE models
Researcher (PI) Juan Francisco Rubio-Ramirez
Host Institution (HI) FUNDACION CENTRO DE ESTUDIOS MONETARIOS Y FINANCIEROS
Call Details Starting Grant (StG), SH1, ERC-2009-StG
Summary DSGE models are the standard tool of quantitative macroeconomics. We use them to measure economics phenomena and to provide policy advice. However, since Kydland and Prescott s 1982, the profession has fought about how to take these models to the data. Kydland and Prescott proposed to calibrate their model. Why? Macroeconomists could not compute their models efficiently. Moreover, the techniques required for estimating DSGE models using the likelihood did not exist. Finally, models were ranked very badly by likelihood ratio tests. Calibration offered a temporary solution. By focusing only on a very limited set of moments of the model, researchers could claim partial success and keep developing their theory. The landscape changed in the 1990s. There were developments along three fronts. First, macroeconomists learned how to efficiently compute equilibrium models with rich dynamics. Second, statisticians developed simulation techniques like Markov chain Monte Carlo (MCMC), which we require to estimate DSGE models. Third, and perhaps most important, computer power has become so cheap that we can now do things that were unthinkable 20 years ago. This proposal tries to estimate non-linear and/or non-normal DSGE models using a likelihood approach. Why non-linear models? Previous research has proved that second order approximation errors in the policy function have first order effects on the likelihood function. Why non-normal models? Time-varying volatility is key to understanding the Great Moderation. Kim and Nelson (1999), McConnell and Pérez-Quirós (2000), and Stock and Watson (2002) have documented a decline in the variance of output growth since the mid 1980s. Only DSGE models with richer structure than normal innovations can account for this.
Summary
DSGE models are the standard tool of quantitative macroeconomics. We use them to measure economics phenomena and to provide policy advice. However, since Kydland and Prescott s 1982, the profession has fought about how to take these models to the data. Kydland and Prescott proposed to calibrate their model. Why? Macroeconomists could not compute their models efficiently. Moreover, the techniques required for estimating DSGE models using the likelihood did not exist. Finally, models were ranked very badly by likelihood ratio tests. Calibration offered a temporary solution. By focusing only on a very limited set of moments of the model, researchers could claim partial success and keep developing their theory. The landscape changed in the 1990s. There were developments along three fronts. First, macroeconomists learned how to efficiently compute equilibrium models with rich dynamics. Second, statisticians developed simulation techniques like Markov chain Monte Carlo (MCMC), which we require to estimate DSGE models. Third, and perhaps most important, computer power has become so cheap that we can now do things that were unthinkable 20 years ago. This proposal tries to estimate non-linear and/or non-normal DSGE models using a likelihood approach. Why non-linear models? Previous research has proved that second order approximation errors in the policy function have first order effects on the likelihood function. Why non-normal models? Time-varying volatility is key to understanding the Great Moderation. Kim and Nelson (1999), McConnell and Pérez-Quirós (2000), and Stock and Watson (2002) have documented a decline in the variance of output growth since the mid 1980s. Only DSGE models with richer structure than normal innovations can account for this.
Max ERC Funding
909 942 €
Duration
Start date: 2010-07-01, End date: 2015-06-30
Project acronym ESEI
Project Engineering Social and Economic Institutions
Researcher (PI) Jacob Goeree
Host Institution (HI) UNIVERSITAT ZURICH
Call Details Advanced Grant (AdG), SH1, ERC-2009-AdG
Summary The advent of the Internet and the increased power of modern day computing have dramatically changed the economic landscape. Billions of dollars worth of goods are being auctioned among geographically dispersed buyers; online brokerages are used to find jobs, trade stocks, make travel arrangements, etc. The architecture of these online (trading) platforms is typically rooted in their pre-Internet counterparts, and advances in the theory of market design combined with increased computing capabilities prompt a careful re-evaluation. This proposal concerns the creation of novel, more flexible institutions using an approach that combines theory, laboratory experiments, and practical policy. The first project enhances our understanding of newly designed package auctions by developing equilibrium models of competitive bidding and measuring the efficacy of alternative formats in controlled experiments. The next project studies novel market forms that allow for all-or-nothing trades to alleviate inefficiencies and enhance dynamic stability when complementarities exist. The third project concerns the design of market regulation and procurement contests to create better incentives for research and development. The fourth project addresses information aggregation properties of alternative voting institutions, suggesting improvements for referenda and jury/committee voting. The Internet has also dramatically altered the nature of social interactions. Emerging institutions such as online social networking tools, rating systems, and web-community Q&A services reduce social distances and catalyze opportunities for social learning. The final project focuses on social learning in a variety of settings and on the impact of social networks on behavior. Combined these projects generate insights that apply to a broad array of social and economic environments and that will guide practitioners to the use of better designed institutions.
Summary
The advent of the Internet and the increased power of modern day computing have dramatically changed the economic landscape. Billions of dollars worth of goods are being auctioned among geographically dispersed buyers; online brokerages are used to find jobs, trade stocks, make travel arrangements, etc. The architecture of these online (trading) platforms is typically rooted in their pre-Internet counterparts, and advances in the theory of market design combined with increased computing capabilities prompt a careful re-evaluation. This proposal concerns the creation of novel, more flexible institutions using an approach that combines theory, laboratory experiments, and practical policy. The first project enhances our understanding of newly designed package auctions by developing equilibrium models of competitive bidding and measuring the efficacy of alternative formats in controlled experiments. The next project studies novel market forms that allow for all-or-nothing trades to alleviate inefficiencies and enhance dynamic stability when complementarities exist. The third project concerns the design of market regulation and procurement contests to create better incentives for research and development. The fourth project addresses information aggregation properties of alternative voting institutions, suggesting improvements for referenda and jury/committee voting. The Internet has also dramatically altered the nature of social interactions. Emerging institutions such as online social networking tools, rating systems, and web-community Q&A services reduce social distances and catalyze opportunities for social learning. The final project focuses on social learning in a variety of settings and on the impact of social networks on behavior. Combined these projects generate insights that apply to a broad array of social and economic environments and that will guide practitioners to the use of better designed institutions.
Max ERC Funding
1 797 525 €
Duration
Start date: 2010-01-01, End date: 2015-12-31
Project acronym FLUCTUATIONS
Project Research on Economic Fluctuations and Globalization
Researcher (PI) Maria Silvana Tenreyro
Host Institution (HI) LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
Call Details Starting Grant (StG), SH1, ERC-2009-StG
Summary The first strand of the proposal seeks to study housing market fluctuations. Housing markets play a prominent role in the economy and in the conduct of monetary policy and yet standard DSGE models often ignore them. In a first project, we will study both empirically and theoretically seasonal fluctuations in housing markets. We view this as an important first step to shed light on the models needed to describe housing markets. A second project will build on these modelling implications to develop a macroeconomic framework that accounts for lower-frequency fluctuations in housing markets; in particular, we will study the effects of different economic shocks and optimal policy responses, with particular attention to the mechanism through which initial shocks get amplified and transmitted to the rest of the economy. The second strand will seek to understand and quantify the role of international trade, and in particular the emergence of China and India, in explaining the sharp decline in the volatility of aggregate fluctuations experienced by most advanced economies since the mid 1980s. Concretely, the project will ask both theoretically and empirically the extent to which counting on a wider pool of input suppliers from non-traditional trading partners has mitigated the effect of economic shocks on output and prices. As an auxiliary tool, a second project will develop a new econometric test for model selection. The final strand has two main branches. In the first, we will propose a model to study the role of optimality of employment relations in the transmission mechanism of monetary policy. In the second, we will develop a model to asses the role of liquidity in the transmission mechanism. Testable implications from these two models will be empirically assessed.
Summary
The first strand of the proposal seeks to study housing market fluctuations. Housing markets play a prominent role in the economy and in the conduct of monetary policy and yet standard DSGE models often ignore them. In a first project, we will study both empirically and theoretically seasonal fluctuations in housing markets. We view this as an important first step to shed light on the models needed to describe housing markets. A second project will build on these modelling implications to develop a macroeconomic framework that accounts for lower-frequency fluctuations in housing markets; in particular, we will study the effects of different economic shocks and optimal policy responses, with particular attention to the mechanism through which initial shocks get amplified and transmitted to the rest of the economy. The second strand will seek to understand and quantify the role of international trade, and in particular the emergence of China and India, in explaining the sharp decline in the volatility of aggregate fluctuations experienced by most advanced economies since the mid 1980s. Concretely, the project will ask both theoretically and empirically the extent to which counting on a wider pool of input suppliers from non-traditional trading partners has mitigated the effect of economic shocks on output and prices. As an auxiliary tool, a second project will develop a new econometric test for model selection. The final strand has two main branches. In the first, we will propose a model to study the role of optimality of employment relations in the transmission mechanism of monetary policy. In the second, we will develop a model to asses the role of liquidity in the transmission mechanism. Testable implications from these two models will be empirically assessed.
Max ERC Funding
544 582 €
Duration
Start date: 2009-10-01, End date: 2013-09-30
Project acronym GAME-DYNAMICS
Project Game Theory: Dynamic Approaches
Researcher (PI) Sergiu Hart
Host Institution (HI) THE HEBREW UNIVERSITY OF JERUSALEM
Call Details Advanced Grant (AdG), SH1, ERC-2009-AdG
Summary The general framework is that of game theory, with multiple participants ( players ) that interact repeatedly over time. The players may be people, corporations, nations, computers even genes. While many of the standard concepts of game theory are static by their very nature (for example, strategic equilibria and cooperative solutions), it is of utmost importance theoretically as well as in applications to study dynamic processes, and relate them to appropriate static solutions. This is a fundamental issue. On the one hand, the significance of a solution depends in particular on how easy it is to reach it. On the other hand, natural dynamics, that is, processes that to a certain degree reflect observed behaviors and actual institutions, are important to study and understand in their own right. We propose to work on three main areas. First, adaptive dynamics: the goal is to characterize those classes of dynamics for which convergence to Nash or correlated equilibria can be obtained, and those for which it cannot, and to find and study natural dynamics that are related to actual behavior and yield useful insights. Second, evolutionary dynamics: the goal is to investigate evolutionary and similar dynamics, with a particular emphasis on understanding the role that large populations may play, and on characterizing which equilibria are evolutionarily stable and which are not. Third, bargaining and cooperation: the goal is to develop a general research program that studies natural bargaining procedures that lead to cooperation and are based directly on the strategic form; some particular aims are to establish connections between the bargaining institutions and the resulting cooperative solutions, and to analyze relevant economic models.
Summary
The general framework is that of game theory, with multiple participants ( players ) that interact repeatedly over time. The players may be people, corporations, nations, computers even genes. While many of the standard concepts of game theory are static by their very nature (for example, strategic equilibria and cooperative solutions), it is of utmost importance theoretically as well as in applications to study dynamic processes, and relate them to appropriate static solutions. This is a fundamental issue. On the one hand, the significance of a solution depends in particular on how easy it is to reach it. On the other hand, natural dynamics, that is, processes that to a certain degree reflect observed behaviors and actual institutions, are important to study and understand in their own right. We propose to work on three main areas. First, adaptive dynamics: the goal is to characterize those classes of dynamics for which convergence to Nash or correlated equilibria can be obtained, and those for which it cannot, and to find and study natural dynamics that are related to actual behavior and yield useful insights. Second, evolutionary dynamics: the goal is to investigate evolutionary and similar dynamics, with a particular emphasis on understanding the role that large populations may play, and on characterizing which equilibria are evolutionarily stable and which are not. Third, bargaining and cooperation: the goal is to develop a general research program that studies natural bargaining procedures that lead to cooperation and are based directly on the strategic form; some particular aims are to establish connections between the bargaining institutions and the resulting cooperative solutions, and to analyze relevant economic models.
Max ERC Funding
1 361 000 €
Duration
Start date: 2010-01-01, End date: 2015-12-31