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Based on a critique on econometric and DSGE models (in particular in the context of the financial crisis), Doyne Farmer presents his current research programme that aims at building an agent-based model of the financial and economic crisis. It models heterogeneous agents and from there simulates the economy, firstly for the housing market. The interview gives a short insight in the research programme.
Macroeconomics From the Bottom Up
First some definitions regarding econometrics, regressions, types of data and independent and dependent variables are given. Then the basic function of a simple regression analysis is explained. Lastly, there is discussion of the meaning of the error term.
Econometrics // Lecture 1: Introduction
Dans cette conférence André Orléan fondateur de l école hétérodoxe de l économie des conventions donne les enjeux d un tournant expérimental des sciences économiques L essor de l économie comportementale des RCT randomized controlled trials et de l analyse économétrique à partir d expériences naturelles histoire économique développement montre …
Le tournant expérimental en économie
There are three things one can do in this website - 1. Learn 2. Help Teach 3. Sign up 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.
Econometrics Academy - Common Econometric Models & Statistical Software
Photo by timJ on Unsplash Do you wish to know how to analyze and solve business and economic questions with data analysis tools Then Econometrics by Erasmus University Rotterdam is the right course for you as you learn how to translate data into models to make forecasts and to support …
Econometrics: Methods and Applications
This course offered by the International Monetary Fund (IMF) on edX provides an introduction in the major econometric tools used in standard Macroeconomics.
Macroeconometric Forecasting
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.
Using Big Data to Solve Economic and Social Problems
There are three things one can do on this website - 1. Learn 2. Help Teach 3. Sign up for the MOOC.
Econometrics Academy
Despite the important methodological critiques of the mainstream offered by heterodox economics, the dominant research method taught in heterodox programmes remains econometrics.
Handbook of Research Methods and Applications in Heterodox Economics
Since their first emergence in the work of Paul David thirty years ago, the dual issues of Path Dependence and Lock-In have become critically important subjects in the fields of economics, sociology, and business strategy.
Path Dependence and Lock-In
Regression Analysis: A Constructive Critique identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved.
Regression Analysis
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.
Introduction to Econometrics with R
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 …
Data Analysis for Social Scientists
The concern of this book is how to model time series statistically and there is emphasized the practical, applied aspects of statistical time series modeling. The author aims to provide methods that may be used to understand and analyze time series that accur in the “real world” that researchers face.
Applied Time Series Analysis
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