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
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

Summer 2014 Courses

Summer 2014 Courses
Course - Section Title Days Time Location
ECON 252 - 05 Prin of Microeconomics - T - R - 1730 - 2130 OEC 454
CRN: 30021 4 Credit Hours An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. This course fulfills the Social Analysis requirement in the core curriculum.

Fall 2014 Courses

Fall 2014 Courses
Course - Section Title Days Time Location
ECON 252 - 13 Prin of Microeconomics - T - R - 1330 - 1510 OEC 206
CRN: 40715 4 Credit Hours An introduction to microeconomics: theory of household (consumer) behavior, theory of the firm, market structures, market failures, economic efficiency, factor markets, and income distribution. Students who enroll in this course are expected to be able to use high-school algebra. This course fulfills the Social Analysis requirement in the core curriculum.
ECON 311 - 01 Forecasting - T - R - 0800 - 0940 OEC 449
CRN: 40099 4 Credit Hours 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)
ECON 311 - 02 Forecasting - T - R - 0955 - 1135 OEC 449
CRN: 42518 4 Credit Hours 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)

J-Term 2015 Courses

J-Term 2015 Courses
Course - Section Title Days Time Location