Economics 380

Instructor: Robin Sickles

Office: Baker Building 246

Phone: 717 348-3322

email: rsickles@rice.edu

Office Hours: MW 3-4 or by appointment

*Managerial Statistics*, S. Albright, W. Winston, C. Zappe, Duxberry
Press, 2000.

*Using Econometrics, A Practical Guide*,
A. Studenmond, 4^{th} Edition, 2001

*Introductory Econometrics with Applications*,* 4 ^{th} edition*, R. Ramanathan, Dryden Press, 1998.

*Managerial Economics: Applications, Strategy, and Tactics, 8 ^{th}
edition, *J. McGuigan, R. Moyer, and F. Harris, South-Western College
Publishing, 1999..

Understanding of basic econometric principals and their use in estimating economic relationships such as demand and supply, in forecasting economic phenomenon such as stock prices, GNP, etc., and in general modeling applications. We also will study efficiency measurement in production using linear programming methods (activity analysis), portfolio decision-making (financial engineering) and empirical approaches to analyzing litigation strategies in discrimination and antitrust cases. Emphasis will be on applications using such programs as and ECSTAT (Studenmond), EXCEL (Abright et al.) SAS, ESLWIN (Ramanathan). Two class days a week (Monday and Wednesday) will be devoted to lectures on new material while the third class (Friday) will be a computer laboratory in which students will apply concepts learned during the week. Monday and Wednesday classes will be in Baker Hall while the Friday computer labs will be in the Mudd Building Computer Lab 104.

The final grade will be based on a midterm exam (25%), application exercises primarily conducted in the Friday computer laboratory (15%), pop quizes (10%), an empirical project whose topic will be decided by the student in consultation with the instructor (25%), and final exam (25%)

January 14 Introduction (S 1; R 1; AWZ 1)

January 16 Review of Probability and Statistics (S 5; R 2; AWZ 2-10)

**January 21 Martin Luther King Holiday **

January 23 Review of Probability and Statistics (S 5; R 2; AWZ 2-10)

January 28 Review of Probability and Statistics (S 5; R 2; AWZ 2-10)

February 4 Simple Regression (S 2; R 3; AWZ 13; GWH 5)

February 6 Multiple Regression (S 3; R 4; AWZ 13; GWH 5)

February 11 Multiple Regression (S 4; R 4; AWZ 13; GWH 5)

February 13 Multicollinearity (S 8; R 5; AWZ 14; GWH 5)

February 18 Functional Form and Model Selection (S 7; R 6; GWH 5)

February 20 Problems of Misspecification (S 6; R 8, 9; GWH 5)

February 22 Computer Lab

February 25 Distributed Lag Models (S 12; R 10)

**February 27 Mid-term exam **

March 1 Computer Lab

**March 4-March 8 Mid-term recess **

March 11 Simultaneous Equations (S 14; R 13; GWH 6)

March 13 Carrying
out an Empirical Project (R 14; AWZ 17)

March 18 Carrying
out an Empirical Project (R 14; AWZ 17)

March 20 Time Series and Forecasting (S 12, S 15; R 11; AWZ 16; GWH 6)

March 22 Time Series and Forecasting (S 12, S 15; R 11; AWZ 16; GWH 6)

March 25 Time Series and Forecasting (S 12, S 15; R 11; AWZ 16; GWH 6)

March 27 Time Series and Forecasting (S 12, S 15; R 11; AWZ 16; GWH 6)

**March 29 Spring recess**

April 1 Activity Analysis (GWH; Handouts: DEAP manuals, DEAP program )

April 3 Activity Analysis (GWH; Handouts)

April 5 Activity Analysis (GWH; Handouts)

April 8 Activity Analysis (GWH; Handouts)

April 10 Activity Analysis (Handouts)

April 12 Activity Analysis (Handouts)

April 15 Financial Engineering (GWH 17 A, 19, 20; DEAP program, DEAP manuals)

April 17 Litigation
Support-Antitrust and Litigation Support-Discrimination.

April 19 Litigation
Support-Antitrust and Litigation Support-Discrimination.

April 22 Litigation
Support-Antitrust and Litigation Support-Discrimination.

April 24 Empirical Analysis in Litigation Support (GWH 18)

April 26** **Empirical
Analysis in Litigation Support and LAST DAY OF CLASSES (GWH 18)**
**

Lab #5a (February 23)

Lab #5b

Lab#5c

Lab#7 (March 16)

(see R pages: 636-639)

Lab#10(April 6)