ECON 103

Introduction to Econometrics

Economics · 4 units · Undergraduate upper division (100-199)

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Introduction to theory and practice of univariate regression analysis with emphasis on its use in economics. Introduction to method of least squares, Gauss-Markov theorem, confidence intervals and hypothesis tests in univariate regression context, and standard errors in case of heteroscedasticity and serial correlation. Emphasis on applications with real data and computer software (R programming language) to implement discussed methods.

P/NP or letter grading.

Requisites

Official UCLA wording
Enforced requisites: courses 11, and 41 or Mathematics 170E and 170S or Statistics 100A and 100B. Enforced corequisite: 103L.

BruinTree reads · Corequisite

confidence 1.00 · from UCLA’s structured data

ECON 103L

BruinTree reads · Prerequisite

confidence 1.00 · from UCLA’s structured data

all of

ECON 11
one of
- ECON 41
- all of
  - MATH 170E
  - MATH 170S
- all of
  - STATS 100A
  - STATS 100B

Requires

Everything that has to come before this course, not just the courses named in the requisite above.

ECON 103

ECON 11Microeconomic Theory
- ECON 1Principles of Economics
- MATH 31ADifferential and Integral Calculusanother path to it
- MATH 31BIntegration and Infinite Seriesanother path to it
ECON 41Probability and Statistics for Economists

Unlocks

What this course is a requisite for, and what those courses lead to in turn.

ECON 10317 more beyond

ECON 103LEconometrics Laboratory
- ECON 103Introduction to Econometricsanother path to it
- ECON 109CAdvanced Sequence: Computational Economicsanother path to it
- ECON 109DAdvanced Sequence: Econometric Theoryanother path to it