Teaching

Ph.D. students in the Field of Economics are required to take this year-long research seminar, and receive a grade of Satisfactory, in order to remain in good standing in the Ph.D. program. Students present and discuss each second-year paper, which must be completed before the semester opens and Economics 7850 meets for the first time. Students also present at least two additional papers or paper plans. These are intended to be part of the core of the student’s thesis proposal, which must be given as part of the student’s A Exam prior to the start of the fourth year of graduate study in the economics Ph.D. program. Economics 7851 ends with a mini-conference, attended by faculty and other Ph.D. students, in which each student makes a formal presentation in standard economics conference format, and each student discusses one of these presentations. Professional writing and presentation coaching is also provided.

Graduate pro-seminar organized by the Cornell Population Center, featuring guest lectures by Lars Vilhuber, Vida Maralani, and Matt Hall. Sessions cover a range of population research topics and professional development for graduate students.

Three guest lectures delivered in AEM7010, covering a broad range of topics relevant to pro-seminar students. Includes a session on reproducibility in research, with materials from https://larsvilhuber.github.io/tutorial-reproducibility-aem7010/.

Focuses on empirical strategies to identify the causal effects of public policies and programs. The course uses problem sets based on real-world examples and data to examine techniques for analyzing nonexperimental data including control function approaches, matching methods, panel-data methods, selection models, instrumental variables, and regression-discontinuity methods. The emphasis throughout, however, is on the critical role of research design in facilitating credible causal inference. The course aids students in both learning to implement a variety of statistical tools using large data sets, and in learning to select which tools are best suited to a given research project.

Ph.D. students in the Field of Economics are required to take this year-long research seminar, and receive a grade of Satisfactory, in order to remain in good standing in the Ph.D. program. Students present and discuss each second-year paper, which must be completed before the semester opens and Economics 7850 meets for the first time. Students also present at least two additional papers or paper plans. These are intended to be part of the core of the student’s thesis proposal, which must be given as part of the student’s A Exam prior to the start of the fourth year of graduate study in the economics Ph.D. program. Economics 7851 ends with a mini-conference, attended by faculty and other Ph.D. students, in which each student makes a formal presentation in standard economics conference format, and each student discusses one of these presentations. Professional writing and presentation coaching is also provided.

Graduate pro-seminar organized by the Cornell Population Center, featuring guest lectures by Lars Vilhuber, Vida Maralani, and Matt Hall. Sessions cover a range of population research topics and professional development for graduate students.

Organized and taught six sessions for CIDER STARS fellows, focusing on computing skills for economists. Sessions targeted pre-doctoral and early-career scholars.

Three guest lectures delivered in AEM7010, covering a broad range of topics relevant to pro-seminar students. Includes a session on reproducibility in research, with materials from https://larsvilhuber.github.io/tutorial-reproducibility-aem7010/.

Focuses on empirical strategies to identify the causal effects of public policies and programs. The course uses problem sets based on real-world examples and data to examine techniques for analyzing nonexperimental data including control function approaches, matching methods, panel-data methods, selection models, instrumental variables, and regression-discontinuity methods. The emphasis throughout, however, is on the critical role of research design in facilitating credible causal inference. The course aids students in both learning to implement a variety of statistical tools using large data sets, and in learning to select which tools are best suited to a given research project.

Delivered one guest lecture for ILRLE3486/ECON3486, covering relevant topics for economics and labor relations students.

Organized and taught six sessions for CIDER STARS fellows, focusing on computing skills for economists. Sessions targeted pre-doctoral and early-career scholars.