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NA0172

Applied Econometrics

The course will cover multivariate regression, nonlinear regression, panel data, instrumental variables, regression discontinuity designs, and differences between experimental and quasi-experimental methods. The course will also cover ways to deal with econometric problems which often arise in applied work, such as missing values, multiple outcomes, non-random samples and outliers. The course will also discuss different philosophies and approaches to causal inference, including the potential outcomes framework, reduced form estimation and structural estimation. The course will cover basic to advanced statistical programming.


Course evaluation

Additional course evaluations for NA0172

Academic year 2023/2024

Applied Econometrics (NA0172-30333)

2024-02-15 - 2024-03-19

Academic year 2022/2023

Applied Econometrics (NA0172-30135)

2023-02-16 - 2023-03-21

Academic year 2021/2022

Applied Econometrics (NA0172-30213)

2022-02-18 - 2022-03-23

Academic year 2020/2021

Applied Econometrics (NA0172-30196)

2021-02-18 - 2021-03-23

Academic year 2019/2020

Applied Econometrics (NA0172-30174)

2020-02-20 - 2020-03-24

Academic year 2018/2019

Applied Econometrics (NA0172-30203)

2019-02-21 - 2019-03-25

Academic year 2017/2018

Applied Econometrics (NA0172-30058)

2018-02-12 - 2018-03-25

Syllabus and other information

Litterature list

* Compulsory

Course facts

The course is offered as an independent course: No The course is offered as a programme course: Environmental Economics and Management - Master's Programme Agriculture and Economics Agricultural, Food and Environmental Policy Analysis (AFEPA) - Master's Programme Agricultural Economics and Management - Master's Programme Agriculture Programme - Economics and Management Tuition fee: Tuition fee only for non-EU/EEA/Switzerland citizens: 13090 SEK Cycle: Master’s level (A1N)
Subject: Economics Economics
Course code: NA0172 Application code: SLU-30232 Location: Uppsala Distance course: No Language: English Responsible department: Department of Economics Pace: 100%