Courses tagged with "Information environments" (172)

14.454 is an introduction to current macroeconomic concerns with particular emphasis on medium-run economic fluctuations, economic crises, and the role of asset markets. Topics include the explanation of high chronic unemployment in some nations, the source of modern liquidity crises, the origin and end of speculative bubbles, and the factors that lead to substantial periods of economic stagnation.

This half semester class will present an introduction to macroeconomic modeling, particularly economic growth. It will focus both on models of economic growth and their empirical applications, and try to shed light on the mechanics of economic growth, technological change and sources of income and growth differences across countries.

This course provides a rigorous treatment of non-cooperative solution concepts in game theory, including rationalizability and Nash, sequential, and stable equilibria. It covers topics such as epistemic foundations, higher order beliefs, bargaining, repeated games, reputation, supermodular games, and global games. It also introduces cooperative solution concepts—Nash bargaining solution, core, Shapley value—and develops corresponding non-cooperative foundations.

This course emphasizes dynamic models of growth and development. Topics covered include: migration, modernization, and technological change; static and dynamic models of political economy; the dynamics of income distribution and institutional change; firm structure in developing countries; development, transparency, and functioning of financial markets; privatization; and banks and credit market institutions in emerging markets.

At MIT, this course was team taught by Prof. Robert Townsend, who taught for the first half of the semester, and Prof. Abhijit Banerjee, who taught during the second half. On OCW we are only including materials associated with sessions one through 13, which comprise the first half of the class.

Topics include productivity effects of health, private and social returns to education, education quality, education policy and market equilibrium, gender discrimination, public finance, decision making within families, firms and contracts, technology, labor and migration, land, and the markets for credit and savings.

The unifying theme of this course is best captured by the title of our main reference book: "Recursive Methods in Economic Dynamics". We start by covering deterministic and stochastic dynamic optimization using dynamic programming analysis. We then study the properties of the resulting dynamic systems. Finally, we will go over a recursive method for repeated games that has proven useful in contract theory and macroeconomics. We shall stress applications and examples of all these techniques throughout the course.

This course explores the theory behind and evidence on regulatory, tax, and other government responses to problems of market failure. Special emphasis is given to developing and implementing tools to evaluate environmental policies. Other topics include cost-benefit analysis, measurement of the benefits of non-market goods and costs of regulations, and the evaluation of the impact of regulations in areas such as financial markets, workplace health and safety, consumer product safety, and other contexts.

The course provides a graduate level introduction to Industrial Organization. It is designed to provide a broad introduction to topics and industries that current researchers are studying as well as to expose students to a wide variety of techniques. It will start the process of preparing economics PhD students to conduct thesis research in the area, and may also be of interest to doctoral students working in other areas of economics and related fields. The course integrates theoretical models and empirical studies.

This course covers issues in the theory of consumption, investment and asset prices. We lay out the basic models first, and then examine the empirical facts that motivate extensions to these models.

This course offers an introduction to noncooperative game theory. The course is intended both for graduate students who wish to develop a solid background in game theory in order to pursue research in the applied fields of economics and related disciplines, and for students wishing to specialize in economic theory. While the course is designed for graduate students in economics, it is open to all students who have taken and passed 14.121.

This course covers models of individual decision-making under certainty and uncertainty. Applications include risk sharing and financial markets; contracts and information economics; village economies and national development; models with money and credit; trade, spatial economics and differentiated commodities.

The topic of the class is information economics. The purpose is to give an introduction to some of the main subjects in this field: risk sharing, moral hazard, adverse selection (signaling, screening), mechanism design, decision making under uncertainty. These subjects (and others) will be treated in more depth in the advanced theory courses on Contract Theory.

This course covers, with a focus on both theory and empirics, advanced topics in international trade (as well as inter-regional trade and economic geography.) It includes the study of positive issues, such as: Why do countries trade? What goods do countries trade? What are the implications of openness for the location of production, industries, occupations, and innovative activity? And, what impedes trade and why do some countries deliberately erect policy impediments to trade? The course also concerns normative issues, such as: Is trade openness beneficial to a representative agent? And, are there winners and losers from trade and if so, can we identify them? Throughout, these issues are approached in neoclassical settings as well as those with market failures, at the industry-level as well as the firm-level, and in the presence of both mobile and immobile factors (e.g., FDI, offshoring of tasks, multinational firms and immigration).

The aim of this course is to acquaint students with traditional topics in labor economics and to encourage the development of independent research interests. We will cover a systematic development of the theory of labor supply, labor demand, and human capital. Topics include wage and employment determination, turnover, search, immigration, unemployment, equalizing differences, and institutions in the labor market. There will be particular emphasis on the interaction between theoretical and empirical modeling.

This is a graduate course in labor economics. The course will focus on covering theory and evidence on inequality, wage structure, skill demands, employment, job loss, and early-life determinants of long-run outcomes. Particular areas of focus are: (1) wage determination, including the Roy model, equalizing wage differentials, and models of discrimination; (2) the roles played by supply, demand, institutions, technology and trade in the evolving distribution of income.

This course focuses on dynamic optimization methods, both in discrete and in continuous time. We approach these problems from a dynamic programming and optimal control perspective. We also study the dynamic systems that come from the solutions to these problems. The course will illustrate how these techniques are useful in various applications, drawing on many economic examples. However, the focus will remain on gaining a general command of the tools so that they can be applied later in other classes.

This half-semester course provides an introduction to microeconomic theory designed to meet the needs of students in an economics Ph.D. program. Some parts of the course are designed to teach material that all graduate students should know. Others are used to introduce methodologies. Students should be comfortable with multivariable calculus, linear algebra, and basic real analysis.

This course focuses on recent developments in econometrics, especially structural estimation. The topics include nonseparable models, models of imperfect competition, auction models, duration models, and nonlinear panel data. Results are illustrated with economic applications.

This course covers theory and evidence on government taxation policy. Topics include tax incidence, optimal tax theory, the effect of taxation on labor supply and savings, taxation and corporate behavior, and tax expenditure policy.

This course covers theory and evidence on government expenditure policy-- topics include: The theory of public goods; Education; State and local public goods; Political economy; Redistribution and welfare policy; Social insurance programs such as social security and unemployment insurance; and Health care policy.