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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.

 

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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 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: advanced Introduction to Econometrics with R Florian Oswald, Vincent Viers, Jean-Marc Robin, Pierre Villedieu, Gustave Kenedi Science Po 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: beginner Bayesian Statistics Mine Çetinkaya-Rundel; David Banks; Colin Rundel; Merlise A Clyde Duke University This statistics and data analysis course will introduce you to the essential notions of probability and statistics. We will cover techniques in modern data analysis: estimation, regression and econometrics, prediction, experimental design, randomized control trials (and A/B testing), machine learning, and data visualization. We will illustrate these concepts with applications … Level: advanced Data Analysis for Social Scientists Esther Duflo & Sarah Fisher Ellison Massachusetts Institute of Technology This course offered by the International Monetary Fund (IMF) on edX provides an introduction in the major econometric tools used in standard Macroeconomics. Level: advanced Macroeconometric Forecasting Barajas et al. International Monetary Fund

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This project is brought to you by the Network for Pluralist Economics (Netzwerk Plurale Ökonomik e.V.).  It is committed to diversity and independence and is dependent on donations from people like you. Regular or one-off donations would be greatly appreciated.

 

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