Teaching Interests and Course Information
My teaching interests and background include:
- Probability and Statistics
- Economic Forecasting
- Econometrics
- Time Series Analysis
- Applied Econometrics
- Applied Macroeconomics
Office Hours - Academic Year 2007/2008
Rich Memorial 326
Monday 2:00-4:00pm or by appointment
Courses - Fall 2007
Economics 422 - Economic Forecasting (Undergraduate)
class times, MWF 8:30am-9:20am, WH110
LearnLink | Class Syllabus
The course will cover several topics in Econometrics and Time Series that will give you the tools to understand and predict economic variables. The course is divided in two main parts. In the first parts you will be introduced to some basic econometrics concepts like linear regression, goodness of fit, parameter estimation, and hypothesis testing. The students that have already taken 420 will find the first part a review of some of the concepts presented in the Econometrics class. This part of the course is not emphasized in the textbook so I strongly recommend the use of some of the recommended book as a reference.
In the second part of the class we will focus on forecasting. I will introduce the concept of Time Series and the use of statistical graphics for forecasting. You will learn how to model some of the key component of Time Series like cycles, seasonality and trend. After the completion of this part, you should be able to take any common economic Time Series and find the model that best fit each component of the series. The goal of this class is to provide you with the knowledge and experience to recognize the most important features of any economic series. You will learn the tools necessary to estimate and evaluate econometric models that fit your data reasonably well and that allow the construction economic forecasts. The term paper is going to be your chance to combine all the knowledge acquired during the semester
Courses - Fall 2007
Economics 520 - Probability and Statistics for Economists (Graduate)
MW 10am-12am CSB 408
LearnLink | Class Syllabus
The course is designed to provide an introduction to probability and statistics in preparation for the Econometrics sequence and the Core Exam. The course covers essentials of probability theory and mathematical statistics. The first part of the course is concerned with random variable, distribution functions, moment generating functions, and limiting distribution. The second part covers the theory of point and interval estimation, hypothesis testing, and inference in the linear model. Both parametric and nonparametric methods are emphasized.
Courses - Spring 2008
ON SABBATICAL
