Econometrics Academy

Econometrics Academy
Ani Katchova
Level: beginner
University: None
Platform: Econometrics Academy
Year: 2013
Recurrence: flexible
Language: English
Discipline: Econometrics
Attendance: free

Source image: econometricsacademy Youtube channel

There are three things one can do on this website - 1. Learn 2. Help Teach 3. Sign up for the MOOC.

This is a semester-long graduate course in Econometrics. This course is intended for graduate students in economics-related fields and more generally in social sciences. The course includes an overview of the models and theory and applications using Stata, R, or SAS programs. This econometrics class covers about 15 of the most commonly used econometric models in economics, such as linear regression, panel data models, probit and logit models, limited dependent variable models, count data models, time series models, and many more.

 

Take this course

Comment from our editors:

This is a cohesive compilation of major econometric models that are generally used in economics. The lectures are well structured and are of apt duration. Most importantly, there are videos on software usage. Also, the videos are based on scratch, one need not have prior knowledge of econometrics. One has to watch videos on Linear Regression and Introduction to Stata, R, or SAS if one does not have this background or if one needs a refresher. The course aims to develop the student's skill set of selecting appropriate data and estimate an econometric model to the said problem.

This material has been suggested and edited by:

Jorim Gerrard
Tags: econometrics | F-Statistic | R | R squared | random walk | SAS | STATA | Statistical Tools | statistics
This course describes Bayesian statistics, in which one's inferences about parameters or hypotheses are updated as evidence accumulates. You will learn to use Bayes’ rule to transform prior probabilities into posterior probabilities, and be introduced to the underlying theory and perspective of the Bayesian paradigm. The course will apply Bayesian …
Level: leicht
Bayesian Statistics
Mine Çetinkaya-Rundel; David Banks; Colin Rundel; Merlise A Clyde
Duke University
This course provides a simple introduction to problems that social scientists are working on (e.g. racial disparities, inequality and climate change) in a manner that does not require any prior background in Economics or Statistics.
Level: leicht
Using Big Data to Solve Economic and Social Problems
Raj Chetty and Gregory Bruich
Harvard University
This course offered by the International Monetary Fund (IMF) on edX provides an introduction in the major econometric tools used in standard Macroeconomics.
Level: mittel
Macroeconometric Forecasting
Barajas et al.
International Monetary Fund
This course introduces the main topics in Econometrics by using R statistical software. The relation of themes is comprehensive and includes the basic notions such as linear regression, multiple regression, causal inference, regression discontinuity and instrumental variable. In total, the course covers thirteen chapters that are common in any undergraduate econometrics course.
2020
Level: mittel
Introduction to Econometrics with R
Florian Oswald, Vincent Viers, Jean-Marc Robin, Pierre Villedieu, Gustave Kenedi
Science Po

Spenden

Um sich weiterhin für Pluralismus und Vielfalt in der Ökonomik einzusetzen, benötigt das Netzwerk Plurale Ökonomik e.V. Unterstützung von Leuten wie dir. Deshalb freuen wir uns sehr über eine einmalige oder dauerhafte Spende.

Spenden