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ECONOMIC STATISTICS AND ECONOMETRICS I

ECON 709
과목 설명

Probability distributions, statistical inference; multiple linear regression; introduction to econometric methods. It is expected that students will have completed three semesters calculus (such asMATH 234) and linear algebra (such asMATH 340).

선수과목

Graduate/professional standing

충족 요건
학점

미보고

개설 시기

미보고

평점
3.43

1.02% 과거 데이터 대비

수료율
97.26%

-2% 과거 데이터 대비

A 비율
34.25%

18.96% 과거 데이터 대비

학급 규모
73

31.34% 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.

ECONOMIC STATISTICS AND ECONOMETRICS II

ECON 710

Extensions of the linear regression model; introduction to multiple equation models.

INTRODUCTORY ECONOMETRICS

ECON 410

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.

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).