Theories of the Labor Market
Jan Eeckhout
Morning sessions Wednesday 16th Jan, 10:00-11:00, B16 Edgeworth Wednesday 23rd Jan, 09:00-11:00, G20 Wednesday 30th Jan, 09:00-11:00, G20 Wednesday 6th Feb, 09:00-11:00, 321 Wednesday 13th Feb, 09:00-11:00, G20
Afternoon sessions Wednesday 16th Jan, 13:15-15:00, B16 Edgeworth Wednesday 23rd Jan, 13:15-15:00, B16 Edgeworth Wednesday 30th Jan, 13:15-15:00, B16 Edgeworth Wednesday 6th Feb, 13:15-15:00, B16 Edgeworth Wednesday 13th Feb, 13:15-15:00, B16 Edgeworth
Labor markets are the principal ingredient in much of the applied research in economics. Even the simplest model of the macro economy has labor demand/supply and wages. The main aspects of labor markets are the determination and distribution of wages, the allocation of workers to jobs, and unemployment. We study the essential theoretical underpinnings for analyzing labor markets: 1. The allocation process of skilled workers to jobs of different productivity (matching) to explain wages; and 2. The presence of market frictions (search) as an equilibrium phenomenon to explain unemployment. The objective of this course is to provide you with a set of ideas and tools that you can use in your research, whatever you study: macro economics, applied micro, micro theory, organizations, public finance, political economy, development, family economics,... Hopefully this will be helpful in writing a chapter of your thesis.
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Empirical Methods for the Study of the Labour Market
Jeremy Lise Thursday 10:00-12:00, 13:00-15:00 in Room B16 Weeks 25-30* (second five weeks of second term)
This course provides an overview of quantitative methods for the study of labour market dynamics. It has been designed to follow from Jan Eeckhout’s “Theories of the Labor Market”. While the focus on labour market dynamics reflects my personal research interests, the goal of the course is to help provide a bridge between economic theory and quantitative analysis that is an important part of modern empirical work in all fields of economics. We will also cover some topics on empirical models of matching.
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Modern Macroeconometrics (part one)
Dennis Kristensen Tuesday 10:00-12:00 in Room 321 Weeks 20-24* (first five weeks of second term)
This course provides a selective overview of recent developments in time
series econometrics, with an emphasis on macroeconomic applications.
The course will begin with a quick overview of "classical" time
series techniques which is meant as a refresher for students who have
some previous knowledge of time series analysis at the undergraduate or
Masters level. Such knowledge is not assumed, but might be helpful for
students who plan to do research in time series/applied macro. The main
part of the course will focus on topics that we believe represent some
of the most active and exciting areas of current research, and ones
that o¤er a number of open challenges and possible research questions.
The course will be of natural interest to PhD students who are
considering the bold move of doing research in time series or
empirical macro. Since the emphasis will be less on theory and proofs
and more on explaining the methods and their actual implementation in a
critical manner, the course will also appeal to students who are
doing research in many other
elds within Economics. For example, you
might
nd the course useful if you: have not felt the need so far but
might at some point like to use time series data in your applied
research; want to understand the dynamic properties of your structural
model; want to model expectations or learning perhaps by borrowing some
cool new techniques from weather forecasting people; incorporate time
variation, trends, cycles, aggregate shocks, persistence in your
theoretical model; have a dynamic latent variable in your model and
don't quite know what to do with it; reassure yourself that you are not
doing something silly with time series that are highly persistent,
etc. etc. And, in general, you might want to take the course because you
never know when you will be struck by a good research idea, and
sometimes it just happens when you step out of familiar territory...
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Modern Macroeconometrics (part two)
Raffaella Giacomini Tuesday 10:00-12:00 in Room 321 Weeks 25-30* (second five weeks of second term)
This course provides a selective overview of recent developments in time series econometrics, with an emphasis on macroeconomic applications. The course will begin with a quick overview of "classical" time series techniques which is meant as a refresher for students who have some previous knowledge of time series analysis at the undergraduate or Masters level. Such knowledge is not assumed, but might be helpful for students who plan to do research in time series/applied macro. The main part of the course will focus on topics that we believe represent some of the most active and exciting areas of current research, and ones that o¤er a number of open challenges and possible research questions. The course will be of natural interest to PhD students who are considering the bold move of doing research in time series or empirical macro. Since the emphasis will be less on theory and proofs and more on explaining the methods and their actual implementation in a critical manner, the course will also appeal to students who are doing research in many other
elds within Economics. For example, you might
nd the course useful if you: have not felt the need so far but might at some point like to use time series data in your applied research; want to understand the dynamic properties of your structural model; want to model expectations or learning perhaps by borrowing some cool new techniques from weather forecasting people; incorporate time variation, trends, cycles, aggregate shocks, persistence in your theoretical model; have a dynamic latent variable in your model and don't quite know what to do with it; reassure yourself that you are not doing something silly with time series that are highly persistent, etc. etc. And, in general, you might want to take the course because you never know when you will be struck by a good research idea, and sometimes it just happens when you step out of familiar territory...
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Advanced Macroeconomic Quantitative Theory : Macroeconomic Models with Heterogeneous Producers
Francisco Buera Friday 10:00-12:00 in Room 321 for Weeks 13-14 and Ricardo Lecture Theatre for Weeks 21-30
In this course we are going to study macro models that highlight heterogeneity in productive units, e.g., entrepreneurs, firms, plants, to explore various macroeconomic questions, encompassing a broad set of fields, e.g., economic development, business cycle, and trade: Why is wealth so much more unequally distributed than income? Can cross-country differences in the development of credit markets account for the observed cross-country differences in per-capital income, capital and TFP? What are the sources of aggregate fluctuations? In particular, what are the aggregate and distributional consequences of financial crisis, and what can monetary and fiscal policy do to ameliorate them? What are the gains from trade? The emphasis will be on the development of rich general equilibrium models than can be used to provide quantitative answers to these questions. We will discuss (and you will implement in problem sets) numerical methods to solve these models.
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