Oleksandr (Alex) Zhylyevskyy: Teaching

Oleksandr (Alex) Zhylyevskyy
Oleksandr Zhylyevskyy

Overview

My responsibilities at ISU usually include teaching a graduate econometrics course Econ 672 and an undergraduate principles of macroeconomics course Econ 102.

Econ 672: Econometrics II—Spring 2013

This course is part of the core of the Ph.D. program in economics. I teach the first half of the course and provide graduate students with an in-depth treatment of cross-sectional econometric methods. The focus is on asymptotic properties of extremum estimators, such as MLE and GMM, and on standard approaches to large sample statistical inference. In addition, I discuss discrete choice and limited dependent variable models and briefly outline bootstrap and Monte Carlo methods.

Prerequisites include Econ 671: Econometrics I, command of matrix algebra, and practical knowledge of Stata or R. I use a standard reference textbook by Greene and a textbook by Hayashi. For additional details, see the syllabus in .pdf.

The following files, grouped by course topic, are intended for students of Econ 672.

Topic 1: Review of asymptotic theory
Lecture slides: .pdf. Lab slides: .pdf. Homework: .pdf.

Topic 2: Large sample properties of OLS and 2SLS estimators
Lecture slides: .pdf. Homework: .pdf, data (file size: 1.8MB): .txt, codebook: .txt.

Topic 3: Maximum likelihood estimation (MLE)
Lecture slides: .pdf. Homework: .pdf.

Midterm 1
This midterm covers Topics 1 through 3. For practice, you may use the midterm from last year: .pdf.

Topic 4: Generalized method of moments (GMM)
Lecture slides: .pdf. Homework: .pdf, JSTOR link: Angrist & Krueger (1991), data (file size: 15MB): .txt, codebook: .txt.

Topic 5: Wald, LR, and LM tests
Lecture slides: .pdf. See homework under Topic 7.

Topic 6: Discrete choice models: logit and probit
Lecture slides: .pdf. See homework under Topic 7.

Topic 7: Limited dependent variable models: tobit
Lecture slides: .pdf. Homework (combined for Topics 5-7): .pdf, data (file size: 2.2MB): .txt, codebook: .txt, FIPS codes: .txt.

Topic 8: Introduction to bootstrap and Monte Carlo methods
Lecture slides: .pdf. No homework.

Midterm 2
This midterm covers Topics 4 through 8. For practice, you may use the midterm from last year: .pdf.

Additional materials
Practice problem on nonlinear GMM: .pdf, data (file size: 54KB): .txt, codebook: .txt.
Newey, W. K., D. McFadden. 1994. "Large sample estimation and hypothesis testing," in Handbook of Econometrics, Volume IV (chapter 36), pp. 2111-2245: external link (ScienceDirect), accessed provided via the ISU library's subscription to the Handbooks in Economics series.

Econ 102: Principles of Macroeconomics—Spring 2012

This course is designed to help undergraduate students understand the basics of aggregate economic activity and the effects of fiscal and monetary policy on national income, unemployment, and inflation. While there is no formal prerequisite, students are advised to take Econ 101: Principles of Microeconomics prior to Econ 102. The course is based on a textbook by Gwartney et al. I use Aplia to administer graded homeworks and post class materials (e.g., fillable lecture slides and practice problems) and Blackboard to post exam grades. For other details, see the syllabus in .pdf.

Teaching experience prior to ISU

I taught undergraduate principles of micro- and macroeconomics courses at the University of Virginia. There, I also was fortunate to serve as a teaching assistant to Kenneth G. Elzinga, a nationally renowned expert in undergraduate economics education, and to work as a teaching assistant in several graduate economics courses.

Teaching philosophy

My main goal when teaching macroeconomics principles is to help the students learn how to think more clearly about the effects of fiscal and monetary policy in our daily lives. I also hope to promote economic literacy so that a typical student walking out of the final exam can be a better citizen and live a more meaningful life. My primary objective in the graduate econometrics class is to equip the students with the knowledge of fundamental econometric methods, in order to firmly set them on the path to become successful applied economists. For details on my teaching philosophy, see the statement of approach toward teaching and classroom instruction in .pdf.