C.Cameron: Analysis of Economics Data 102

Analysis of Economics Data: Further Courses

What courses to take after Statistics 13 and Economics 102 (Analysis of Economics Data 102)?

ECONOMICS COURSES WITH DATA ANALYSIS

This may expand over time and the following list may not be complete. At the moment courses include

- ECONOMICS OF EDUCATION (Economics 152 - currently listed as an Economics 190 - taught Fall 2005)
Prerequisites: ECN 100 and ECN 102 or any upper division statistics course.
Course Description: This course applies theoretical and empirical methods of economics to issues related to education and education policy.
See http://www.econ.ucdavis.edu/Faculty/eucascio/syllabus-190ed.pdf

- ECONOMICS OF TRANSPORTATION (Economics 145)
Does not currently require 102 but is more data-oriented and 102 may in the future be added as a requirement..
See http://www.econ.ucdavis.edu/faculty/fzfeens/trans/Syllabus-145.pdf

- ECONOMICS OF HUMAN RESOURCES (Economics 151B)
Does not require 102 and does not analyze data. But does require reading many important papers that are essentially regression studies.
See http://www.econ.ucdavis.edu/faculty/mepage/econ151b/Syllabus.doc
and http://www.econ.ucdavis.edu/Faculty/eucascio/syllabus-151b-w05.pdf

REGRESSION AND STATISTICS CLASSES

An econometrics or regression course will cover the regression model in more detail than we have in this course.
It will generally involve more derivations of formulae than we have in this class.
Even after taking Analysis of Economics Data there is benefit to taking an additional course.
Regression courses on campus are:

Economics 140 (Econometrics). This is optional for Economics majors.
Agricultural and Resource Economics 106 (Quantitative Methods in Agricultural Economics). This is required of ARE majors.
Statistics 108 (Applied Statistical Methods: Regression Analysis).

Useful additional Statistics courses for economists are

Statistics 130A-B (Mathematical Statistics: Brief Course).
This is bread-and-butter statistics, often required for graduate degrees.
Statistics 108 (Applied Statistical Methods: Regression Analysis). Already mentioned above.
Statistics 137 (Applied Time Series Analysis).

Mathematically strong students should consider taking Statistics 131A-B or 131A-C in place of 130A-B.

A minor in Statistics is Stat 106, 108, 130A-B (or 131A-B) and 1 course with 130B as a pre-requisite.

To strengthen mathematics, the course to take after a calculus sequence (Math 16 or 21) is Math 22A (Linear Algebra).

A. Colin Cameron / UC-Davis Economics / http://www.econ.ucdavis.edu/faculty/cameron