This course is for students working on the dissertation for the Ph.D. in Economics. It is graded pass-fail

• Days/Times:
• Instructor: Ball, Laurence M
• Room:  
• Status: Open
• Seats Available: 50/60
• PosTag(s): n/a

This course covers the basics of Walrasian general equilibrium theory as set out in Debreu’s Theory of Value, and thereby covers the standard (neoclassical) partial equilibrium theories of production and consumption. In addition, it covers Kuhn-Tucker optimization theory and its specializations of concave and linear programming. Finally, it touches on order structures and monotone comparative statics, as well as decision making under risk. A subtext of the course will be an exploration of how loose economic ideas and intuitions can be given formal mathematical expression. Prerequisites: Economics PhD students or permission of the instructor

• Days/Times: MW 9:00AM - 10:15AM
• Instructor: Daley, Brendan; Khan, Mohammed Ali
• Room: Wyman Park W603
• Status: Open
• Seats Available: 20/20
• PosTag(s): n/a

Theory and evidence about the dynamic behavior of households, firms, and the macroeconomy as a whole in the short and long run. Begins with a thorough discussion of the consumption/saving problem of households, including the role of uncertainty, then moves to investment behavior of firms, including the relationship between financial markets and firm behavior. General equilibrium models of firms and households combine to generate benchmark models of economic growth, which leads us to a benchmark specification for dynamic aggregate macroeconomic models.

• Days/Times: MT 1:00PM - 2:30PM
• Instructor: Carroll, Chris
• Room: Wyman Park W603
• Status: Open
• Seats Available: 20/20
• PosTag(s): n/a

This course will develop the necessary mathematical language and tools that are to be regarded as a pre-requisite for graduate study in economics at Johns Hopkins. Specifically, the course will focus on set theory, linear algebra and real analysis.

• Days/Times: T 2:30PM - 5:00PM
• Instructor: Staff
• Room: Wyman Park W603
• Status: Approval Required
• Seats Available: 15/15
• PosTag(s): n/a

This course teaches methods for using micro-data to recover structural parameters of microeconomic models. We cover static models, but focus largely on single-agent dynamic programming, including “full solution” methods along with innovations that permit circumvention of daunting computational tasks. Additional topics will be partially based on students’ interests, but will likely include: general equilibrium models, static and dynamic games, matching models, unobserved heterogeneity, structural methods with experimental data and biased expectations. The goal is to teach students to use structural methods in their own research, and so we will delve into the nuts and bolts of structural work, examining how researchers actually get from raw data to results. This includes: how the sub-sample for analysis is chosen, how the model is specified, how the programming problem is solved, which moments are generated, how these are matched to the analogous moments in the data and, importantly, how identification is established.

• Days/Times: W 3:30PM - 5:30PM
• Instructor: Papageorge, Nicholas W
• Room: Wyman Park W604
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Theory and applications of statistical inference. Topics include probability and sampling, distribution theory, estimation, hypothesis testing, and simple regression analysis. Statistical applications will be drawn from economics. Limited to graduate students in Economics except by permission of the chair. Recommended Course Background: AS.110.201, AS.110.302

• Days/Times: Th 1:00PM - 4:00PM
• Instructor: Li, Lixiong
• Room: Wyman Park W603
• Status: Open
• Seats Available: 12/12
• PosTag(s): n/a

This is an advanced graduate course on the major econometric techniques and models used in empirical microeconomics. We will cover topics such as extremum estimators, quantile regression, semiparametric efficiency and estimation, plugin estimators, simulation methods such as the bootstrap and MCMC, weak instrumental variables, measurement error and latent variable models, and identification analysis. Theoretical development will be accompanied by discussion and examples of applications.

• Days/Times: Th 9:30AM - 12:00PM
• Instructor: Hu, Yingyao; Spady, Richard H.
• Room: Wyman Park W604
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

A course on the allocation of health care goods and services and the production of health. We will focus on models and recent empirical evidence on consumer decisions, producer objectives, government interventions, and the determination of equilibrium. Health care markets have many nonstandard features, and the course will provide an introduction to these institutional details. Neoclassical models of health-related behaviors and health production will also be covered briefly.

• Days/Times: Th 1:00PM - 3:30PM
• Instructor: Richards-Shubik, Seth
• Room: Wyman Park W604
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

This is an advanced graduate course on international macroeconomics. The covered topics include the intertemporal approach to the current account; the determinants of global imbalances and real exchange rates; sovereign debt and default; the impact of domestic and international financial frictions on capital flows; and New Keynesian open economy macroeconomics.

• Days/Times: Th 3:30PM - 6:00PM
• Instructor: Staff
• Room: Wyman Park W604
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

This course studies common environments in macroeconomics where one or more agents lack the ability to credibly commit to making choices in the future (often due to either an enforcement constraint or asymmetric information). Both foundational papers and more recent work will be discussed. Topics to be covered will include models of borrowing and default, models of monetary policy, and models of insurance. In addition to studying these models theoretically, students will learn how to solve some of them computationally (and do so fast enough for quantitative work).

• Days/Times: M 4:30PM - 7:00PM
• Instructor: Fourakis, Stelios Stephen
• Room: Wyman Park W604
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Theories of the allocation of time and supply of labor, human capital, demand for labor, market equilibrium, and income distribution. As time allows, other topics, such as unemployment, unions, and compensating differences are discussed. Corequisite: AS.180.601

• Days/Times: T 5:00PM - 7:30PM
• Instructor: Moffitt, Robert A
• Room: Wyman Park W603
• Status: Open
• Seats Available: 15/15
• PosTag(s): n/a

This is the first course in the Industrial Organization field sequence. It focuses primarily on the empirical analysis of the static models of competition with strategically interdependent agents. The course covers the estimation methods and applied work in the following areas: demand estimation, analysis of strategic entry, network markets, and markets with non-standard price setting mechanisms such as bargaining or auctions.

• Days/Times: M 11:00AM - 1:30PM
• Instructor: Krasnokutskaya, Elena
• Room: Wyman Park W604
• Status: Open
• Seats Available: 11/11
• PosTag(s): n/a

This is a weekly seminar series that brings in speakers from other universities to present their research in the field of applied microeconomics. Graduate Students only.

• Days/Times: W 10:30AM - 11:45AM
• Instructor: Staff
• Room: Wyman Park W603
• Status: Open
• Seats Available: 20/20
• PosTag(s): n/a

This is a seminar series devoted to the presentation of research in microeconomic theory, typically by speakers from outside the department. Graduate students only.

• Days/Times: M 10:30AM - 11:45AM
• Instructor: Staff
• Room: Wyman Park W603
• Status: Open
• Seats Available: 20/20
• PosTag(s): n/a

This course features lectures by economists from other universities. They present research findings at the frontier of the field. Graduate students only.

• Days/Times: T 10:30AM - 11:45AM
• Instructor: Staff
• Room: Wyman Park W603
• Status: Open
• Seats Available: 20/20
• PosTag(s): n/a

The purpose of this seminar is to train students to do research in economics. This course is for second year graduate students in the Ph.D program in Economics. Graduates Students Only.

• Days/Times: F 12:30PM - 2:30PM
• Instructor: Staff
• Room: Wyman Park W604
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

This course is for students working on the dissertation for the Ph.D. in Economics. It is graded pass-fail

• Days/Times:
• Instructor: Ball, Laurence M
• Room:  
• Status: Open
• Seats Available: 40/40
• PosTag(s): n/a

This course is composed of two parts. In the first half, we will cover an introduction to Bayesian methods and standard methods as Metropolis, Metropolis-Hasting, Gibbs sampling, etc. We will then review the relation between Bayesian methods and machine learning. In the second part, we will study how Bayesian methods and machine learning have been used in the macro and macro-finance literatures to handle DSGE's, VAR's, Markov-switching-VAR's, Time-Varying VAR's, textual analysis, forecasting, etc.

• Days/Times: T 1:30PM - 4:00PM
• Instructor: Bianchi, Francesco
• Room: Wyman Park W604
• Status: Open
• Seats Available: 15/15
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. research requirement. This course is for second-year graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in research. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Chen, Ying
• Room:  
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. research requirement. This course is for second-year graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in research. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Carroll, Chris
• Room:  
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. research requirement. This course is for second-year graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in research. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Krasnokutskaya, Elena
• Room:  
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. research requirement. This course is for second-year graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in research. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Khan, Mohammed Ali
• Room:  
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. research requirement. This course is for second-year graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in research. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Papageorge, Nicholas W
• Room:  
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. research requirement. This course is for second-year graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in research. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Bianchi, Francesco
• Room:  
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

This course introduces dynamic machine learning techniques for forecasting and assessing uncertainty and risks in macroeconomics and finance, with an emphasis on methods designed to handle large datasets. The first part focuses on linear models, covering (i) univariate predictive regressions with many regressors; (ii) dynamic factor models, as a first example of popular multivariate models that can handle large datasets; and (iii) Bayesian VARs, as a second example of big data multivariate models that also serve as a bridge between reduced-form and structural models. Additional topics include state-space models, Monte Carlo methods, model comparison, and model selection. Applications will cover nowcasting and forecasting in macroeconomics and finance, portfolio selection, term structure models, scenario analysis, monetary policy transmission, and long-horizon forecasts. The second part extends the focus to monitoring and forecasting risk, which requires making inferences about the likelihood of all possible future contingencies. To conduct a meaningful analysis of risk, we will go beyond linearity, employing flexible machine learning methods that capture asymmetries and fat tails in predictive distributions, addressing the non-linear nature of risk dynamics. The workhorse method will be quantile regressions for assessing downside risks, covering and connecting other models such as distributional regression, nonparametric density estimation, mean-variance regression, and Markov-switching models. Applications will focus on assessing risks related to economic growth, inflation, the labor market, the housing market, and the financial market, with practical applications to macroeconomic and financial risk management for policy and industry.

• Days/Times: W 2:30PM - 5:00PM
• Instructor: Staff
• Room: Wyman Park W603
• Status: Open
• Seats Available: 15/15
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. research requirement. This course is for second-year graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in research. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Moffitt, Robert A
• Room:  
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. research requirement. This course is for second-year graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in research. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Hwang, Yujung
• Room:  
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. research requirement. This course is for second-year graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in research. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Wiswall, Matthew
• Room:  
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. research requirement. This course is for second-year graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in research. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Ball, Laurence M
• Room:  
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. research requirement. This course is for second-year graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in research. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Richards-Shubik, Seth
• Room:  
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. research requirement. This course is for second-year graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in research. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Hu, Yingyao
• Room:  
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. research requirement. This course is for second-year graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in research. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Wright, Jonathan H
• Room:  
• Status: Open
• Seats Available: 10/10
• PosTag(s): n/a

Successful completion of this course counts towards the Ph.D. teaching requirement. This course is for graduate students in the Economics Ph.D. program to obtain graduate credit for work off-campus that provides training and the development of skills in teaching. Before the practicum is begun, the graduate student must identify a sponsoring faculty member or seek permission from the student’s faculty adviser. The faculty member or adviser must sign a form that certifies that graduate credit will be granted, verifies the nature of the work to be performed by the student, and explains how the practicum helps to fulfill a degree requirement. Graded Pass/Fail.

• Days/Times:
• Instructor: Ball, Laurence M
• Room:  
• Status: Open
• Seats Available: 40/40
• PosTag(s): n/a