Luz Saavedra

Associate Professor
Degree
B.A., Universidad del Valle (Colombia)
M.S., Ph.D., University of Illinois
Office
OEC 430
Phone
(651) 962-5683
Toll Free
(800) 328-6819, Ext. 2-5683
Fax
(651) 962-5682
Mail
Mail 4207
2115 Summit Avenue
Saint Paul, MN 55105

At St. Thomas since 2001

Public economics, urban economics, applied economics

Spring 2017 Courses

Spring 2017 Courses
Course - Section Title Days Time Location

Summer 2017 Courses

Summer 2017 Courses
Course - Section Title Days Time Location

Fall 2017 Courses

Fall 2017 Courses
Course - Section Title Days Time Location
ECON 311 - L03 Forecasting - T - R - - - 1330 - 1510 OEC 449
CRN: 42044 4 Credit Hours Instructor: Luz A. Saavedra An introduction to techniques used in forecasting with emphasis on analyzing economic and business data. The emphasis is on timeseries data, although cross-sectional analysis is also covered. Techniques presented include variants of moving averages, variants of exponential smoothing, regression and ARIMA processes. Prerequisites: ECON 251, 252 and STAT 220 (QMCS 220 or IDTH 220)

Schedule Details

Location Time Day(s)
ECON 315 - D02 Introduction to Econometrics - T - R - - - 0800 - 0940 OEC 449
CRN: 42480 4 Credit Hours Instructor: Luz A. Saavedra An introduction to the application of statistical models and methods to economic problems; simple and multiple linear regression models; generalized least-squares; model building and related topics. Emphasis is on use of econometric software to analyze data and to test hypotheses. Prerequisites: Eight credits of Economics at the 300- or 400-level, STAT 220 or MATH 303

Schedule Details

Location Time Day(s)
ECON 315 - D03 Introduction to Econometrics - T - R - - - 0955 - 1135 OEC 449
CRN: 42481 4 Credit Hours Instructor: Luz A. Saavedra An introduction to the application of statistical models and methods to economic problems; simple and multiple linear regression models; generalized least-squares; model building and related topics. Emphasis is on use of econometric software to analyze data and to test hypotheses. Prerequisites: Eight credits of Economics at the 300- or 400-level, STAT 220 or MATH 303

Schedule Details

Location Time Day(s)