Modèle (économie)

Résumé

Un modèle est, en économie, une représentation simplifiée de la réalité économique ou d'une partie de celle-ci. Un modèle économique se base sur des hypothèses économiques et a recours au langage mathématique. L'économie se fonde sur les modèles pour estimer l'évolution d'un système économique, comme la croissance, le commerce international, etc. Concept Définition La science économique vise à expliquer les mécanismes à l’œuvre dans un système économique, ou dans une partie de ce système. Afin de représenter le système, ou une partie de celui-ci, l'économie a recours à des modèles économiques. Ces modèles sont des constructions mathématiques qui représentent, de manière schématique, un pan de la réalité. La schématisation permet de séparer l'essentiel de l'inessentiel, le monde réel étant trop complexe pour être modélisé ; de ce fait, un modèle n'a pas vocation à être une représentation juste de la réalité, car il la simplifie nécessairement. Le seul critère d

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https://fr.wikipedia.org/wiki/Mod%C3%A8le_(%C3%A9conomie)

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This course introduces frameworks and tools for understanding the economic dimensions of the world we live in. The course includes applications to real-world situations and events. Assessment is through group projects. The course is divided into two parts: Microeconomics and Macroeconomics.

This course covers methods for the analysis and control of systems with multiple inputs and outputs, which are ubiquitous in modern technology and industry. Special emphasis will be given to discrete-time systems, due to their relevance for digital and embedded control architectures.

The course covers basic econometric models and methods that are routinely applied to obtain inference results in economic and financial applications.

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Development of discrete surface growth models for frictional surfaces

Thomas Fry

Both natural and manufactured surfaces have been found to be self-affine over many length scales. Yet, it is still not understood what mechanisms lead to the final self-affine morphology, which is characterized by a persistent Hurst exponent (greater than 0.5, see next section 2.1 for the definitions). The scope of this project is then to develop new discrete growth models that can help gather insights in the formation of self-affine surfaces in frictional processes.

2020

Chargement

Financial factors are central to the recent economic crisis. Most macroeconomic models treat banks and financial intermediation as a veil. These models are unable to account for the recent financial crisis and they cannot be used for policy evaluation. Financial frictions include default on mortgages, disruptions in financial intermediation, and informational asymmetries, among others. In my dissertation, I propose to analyze the effects of policy in economic models characterized by financial frictions. The thesis is composed of three chapters. The first chapter is joint work with Luisa Lambertini and Pinar Uysal. We explicitly model the housing sector, mortgages, and endogenous default as well as nominal and real rigidities in a dynamic stochastic general equilibrium (DSGE) setting. We use U.S. data for the period 1981-2006 to estimate our model using Bayesian techniques. Our starting point is to have an empirically plausible model with endogenous default in mortgages that can explain the main features of the macroeconomic time series. We analyze how an increase in the mortgage default rate can spread to the rest of the economy and result in a recession. Next we examine different policy options that might mitigate the effects of an increase in the mortgage default rate. In the second chapter I develop a two-country DSGE model with global banks (financial intermediaries in one country lend to banks in the other country). Banks are financially constrained on how much they can borrow from households. The main goal is to obtain a framework that captures the international transmission of a financial crisis through the balance sheet of the global banks as well as to explain the insurance mechanism of the international asset market. A negative shock to the value of the capital in one country generates a global financial crisis through the international interbank market. The third chapter uses the above model to analyze the policy challenges that global banks face. In this chapter, I look at how different unconventional unilateral credit policies help to mitigate the effects of a financial disruption. First, the policies are carried out only by the policy maker of the country directly hit by the shock. Consumers of the country where the intervention and the shock take place are better off with policy than without it; consumers from the other country are worse off. Second, I allow for both policy makers to intervene. Both countries intervening help to reduce the negative effects of the country that is not directly hit by the shock but the intervention is not a Pareto improvement.

EPFL2014

Chargement

Institutions and Incentives in Knowledge Production and Diffusion: From Science to Innovation

Charles Chadi Ayoubi

This thesis presents four essays providing novel empirical and theoretical insights on the incentives and institutional structures that favor knowledge production and diffusion. The first two studies analyze these processes in the realm of scientific research, while the last two essays evaluate broader applications with vast social welfare implications. The first essay (chapter 2) of this dissertation, in collaboration with Michele Pezzoni and Fabiana Visentin, exploits a dataset on all applicants to a prestigious Swiss grant to explore a central process in academic life: the application for funds. The results suggest that scientists applying to a grant significantly increase their publicationsâ quality and quantity, learn more, and extend their collaboration network. Beyond the effect of applying, receiving the research funds increases the probability of co-authoring with co-applicants, but it does not have any additional effect on other scientific outcomes. These results justified the title of the chapter since, as it is the case in the Olympics, in research grants, âthe important thing is not to win, it is to take part.â The second essay (chapter 3), also in collaboration with Michele Pezzoni and Fabiana Visentin, uses the same empirical context to explore the determinants of knowledge flows among collaborating scientists. The chapter proposes a novel methodology based on journal references to track knowledge flows among researchers working together. The results suggest that geographical distance does not significantly affect the knowledge flows between team members, but the cognitive distance separating two members does. More specifically, there is an inverted U-curve effect of cognitive distance on the learning among team members: the higher the distance between two scientists in terms of subjects studied, the more they exchange knowledge, up to the point when the distance becomes detrimental because they have too little common ground to communicate. The third essay (chapter 4), in collaboration with Boris Thurm, goes beyond the exploration of the determinants for scientistsâ knowledge production and diffusion to delve into the incentives of all individuals to exchange knowledge. The chapter has two major contributions. First, it acts as a literature review of the empirical evidence on non-financial incentives for knowledge diffusion, such as social recognition, career prospects, and moral considerations. Second, the chapter proposes a simple economic model with heterogeneous agents holding both selfish and moral motives to derive some novel policy implications. The last essay (chapter 5), in collaboration with Dominique Foray, delves into a specific case of knowledge diffusion, the integration of machine learning technologies in healthcare. The analysis suggests that machine learning has the potential for spurring innovation in healthcare but faces several institutional levers. Collecting quantitative data on patents and publications, and qualitative data on hospitals, the results show that machine learning affects healthcare in different ways than older information and communication technologies. The apparition of new business models encourages tech giants to enter the healthcare sector. These patterns have the potential to increase social welfare by reducing externalities in terms of innovation complementarities, but they pose new challenges such as competition policy and human capital formation.

EPFL2020

Chargement

Institutions and Incentives in Knowledge Production and Diffusion: From Science to Innovation

Charles Chadi Ayoubi

EPFL2020

EPFL2014