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INTRODUCTORY ECONOMETRICS

ECON 410
과목 설명

Statistical methods used in applied economic research. Topics include: survey methods and data sources; multiple regression and analysis of variance; econometric estimation; forecasting and policy applications.

선수과목

ECON 310 and (MATH 217 or MATH 221 ). Not open to students with credit for ECON 400

충족 요건
학점

미보고

개설 시기

미보고

평점
3.05

1.71% 과거 데이터 대비

수료율
97.87%

2.67% 과거 데이터 대비

A 비율
21.28%

-7.05% 과거 데이터 대비

학급 규모
94

-4.14% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

INTRODUCTION TO APPLIED ECONOMETRICS

ECON 400

An introduction to applied econometrics - the statistical methods economists use to evaluate empirical relationships and test economic theory. Emphasis on application of econometrics to real world data using modern statistical software and developing skills needed to understand empirical work in economics.

ECONOMETRICS III

ECON 706

Focus on using econometric methods to address empirical questions, conduct empirical research, and write empirical papers in economics.

STATISTICS: MEASUREMENT IN ECONOMICS

ECON 310

Introduction to analysis of economic data. The techniques of descriptive statistics and statistical inference (hypothesis testing and estimation) as directed toward application in economic research.

ECONOMETRICS I

ECON 704

Econometric methods, theory, and applications. Matrix algebra will be used. Topics include linear regression, least-squares estimation, inference, and hypothesis testing. Primarily for Master's level students. It is expected that students will have completed three semesters calculus (such asMATH 234) and linear algebra (such asMATH 340).

ECONOMETRICS II

ECON 705

Econometric methods, theory, and applications. Topics include instrumental variables, GMM, panel data, limited dependent variables, time series, and vector autoregressions.