Interactive Econometrics

Interactive Econometrics

Comprehensive live training program featuring 7 structured live modules. The live courses offer a blend of theoretical understanding and hands-on experiences using industry-standard tools such as STATA, Eviews, R, and Python. 

Training Highlights

We adhere to high-quality European educational standards. 

Our online training is perfectly tailored for your need and level of knowledge


you can pick one of the seven group modules or you can design your own private personalized training.

Earn a certified certificate of completion after each module. 

Access pre-recorded complete courses available  here in the library

Training Modules

  • Explore the 7 modules then select to register for your target modules.
  • The training (Modules 1-4) includes practical labs using Eviews and Stata. Participants in (Modules 5-7) are trained in R and Python.
  • We use Zoom to deliver our live training. We can also organize training on-site upon request.
  • The typical group generally consists of 4-6 participants, while small-focus groups typically comprise 1-3 participants.

 Module 1:

Basic econometrics


     View from the content:


  • Classical linear regression assumptions
  • Specification problems
  • OLS
  • Hypothesis Testing
  • Single & multivariate analysis
  • Regression analysis
  • WLS, GLS and FMGLS new


* Group Training Dates: Feb-June-Sep

* Duration: 9 hours

* Payment categories:                              Standard/Student/Offline

 190 EUR/ 110 EUR / 72 EUR

 Module 4:

Advanced topics


     View from the content:


  • Nonlinearity: testing & appropriate models
  • Structural equation modeling
  • Logit & Probit models
  • Censored & Truncated models
  • Endogeneity and instrumental variables model
  • Treatment effect Models new


* Group Training Dates: Apr-June-Dec

* Duration: 27 hours

* Payment categories:


                590 EUR/ 390 EUR 

 Module 7 (Prog-Metrics):

Common Models Using Python

(Practical labs only)


     View from the content:


  • Introduction to Data Processing and Linear Regression in Python 
  • Cross-Section and Panel Data Analysis in Python 
  • Univariate and Multivariate Time-series Analysis in Python
  • Advanced (Open) Topics


* Group Training Dates: May-Dec

* Duration: 8-9 hours

* Payment categories:


                        290 EUR/ 170 EUR 

* Group Training Dates: Mar-Jul-Oct

* Duration: 28 hours

* Payment categories: Standard/Student/Offline

490 EUR/ 310 EUR / 174 EUR



Module 2:

Time-series econometrics


     View from the content:


  • Stationarity & model selection criteria
  • Cointegration and causality
  • Dynamic time series models (e.g. VAR, XVAR, SVAR, VECM)
  • Volatility models: ARCH family
  • In and out-sample Forecasting new
  • Introduction to Mixed Data Sampling (MIDAS)new
  • HAC Estimatorsnew

 Module 5 (Prog-Metrics): 

Basics Using R 

(Practical labs only) 

     View from the content:


  • Introduction to R 
  • Data in R 
  • Regression Analysis 
  • Time Series Analysis

    Volatility models (ARIMA and GARCH systems) and Multivariate Endogenous Models (VAR Family)

  • Panel data analysis: Fixed, Random effects and Dynamic models GMM.

* Group Training Dates: Apr-June-Dec

* Duration: 6-8 hours

* Payment categories:


                              290 EUR/ 170 EUR 

If you could not find what you are looking for in group modules or you need a quick start, personalized, flexible, and condensed training

Free Consultancy

+49 0 17686387586

+49 0 15225886301

 Module 3:

Panel data econometrics


     View from the content:


  • Panel specification tests (Chow, wald, panel unit root, Hausman, etc.)
  • Dynamic panel models: DPD, panel VAR & GMM
  • IV models
  • Panel ARDLnew
  • Panel Data for Limited dependent variablesnew
  • DCC under GMM new
  • Dynamic Threshold new
  • Intro to Global VAR new



* Group Training Dates:Apr-Aug-Nov.

* Duration: 30 hours

* Payment categories: Standard/Student/Offline

 565 EUR/ 390 EUR / 210 EUR

* Group Training Dates: Mar. - Jul

* Duration: 7-9 hours

* Payment categories:


                   360 EUR/ 200 EUR 



Module 6 (Prog-Metrics):

Advanced Topics Using R 

(Practical labs only)


     View from the content:


  • Introduction to R 
  • Data in R 
  • Quantile Regression 
  • Parametrics Regressions

     linear regression, logistic regression, probit regression, and negative binomial regressions

  • Nonparametrics Regressions: splines and kernel regressions



Mohammad S.

Ph.D. Fellow, IBA Karachi

Good place to learn up-to-date research skills


Lewis Leech

amazing resources. highly recommend



Researcher, Alpania

I am very satisfied from the service and help of MS research Hub. In Albania it is very hard to find macroeconomic data and I appreciate that MS found then in short time. Very correct in everything. 



Doctoral Student, Leeds University, UK

The training was good, I liked it very much, I think that maybe it could be a good idea to make a course with more details, like a semester course of time series similar to the master and phd courses related to time series. 

Live Training


Follow our channel and see other sessions on  

Video 1: Bivariate ARDL models: Theory and model structure            (3 Minutes)

Video 3: طريقة المربعات الصغري شرح كامل - OLS Explained - Arabic                           (14 Minutes)

Video 2: Generalization of ARCH: Theoretical introduction to GARCH                    (8 Minutes)

Video 3: Difference in Difference: Introduction

(13 Minutes)