Learning by "Researching" TM

Earn your credentials from a registered research company in Germany. We adhere to high-quality European educational standards. 

Our online training is perfectly tailored for your need, level of knowledge. We offer an interactive and learning platform where everyone lively interacts and learns.


The training content is flexible and structured, you can pick one of the six group modules or you can design your own private personalized training.



Earn a certified certificate of completion and a secured discount on the registration fees for any of M&S Research Hub current or upcoming events.

Access recorded video series of advanced econometric models, covering theories and real data applications. Click here to explore the library

Get the opportunity to write a working paper using the methods you have learned and publish it in MSR working paper series (SSRN and RePEc indexed)



Excellent trainers, excellent content, highly specialized training. I have booked two different training and every time I finish, I get more than I expected and wanted. Highly recommended.

Abdallah Yamani 

Source - Facebook Page


amazing resources. highly recommend

Lewis Leech

Source - Facebook Page


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. 


Source - Home Page


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. 


Source - Email review. Click to view



Module three:

Panel data econometrics


     View from the content:


  • Panel specification tests (Chow, wald, panel unit root, Hausman, etc.)
  • Pooled OLS, fixed, dynamic fixed & random-effects models.
  • 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





          Duration: 30 Hours (8-9 weeks)





Module two:

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



Duration: 19 Hours (4-5 weeks)




Module one:

Basic econometrics


     View from the content:


  • Classical linear regression assumptions
  • Specification problems
  • OLS
  • Single & multiple regression models
  • WLS, GLS and FMGLS new





Duration: 9 Hours (3-4 weeks)











Group Training Modules

  • Select from the six group modules the one that best fits your needs.
  • The training (Modules 1-4) includes practical labs using Eviews or Stata (selection is based on majority request).
  • We use Cisco's WebEx, Zoom, and Business Skype online platforms to deliver our training. We can also organize training on-site upon request.



Module four:

Advanced topics


     View from the content:


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







Duration: 27 Hours (9 Weeks) 






Module five:

Basic Econometrics using R (Practical labs only)


     View from the content:


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

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

  • Panel Econometrics in R: Fixed, Random effects and Dynamic models GMM.


Duration: 6-8 Hours (3 Weeks) 






Module Six:

Advanced Econometrics using R (Practical labs only)


     View from the content:


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

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

  • Nonparametrics Regressions in R: splines and kernel regressions



 Duration: 7-9 Hours (3-4 Weeks) 




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

Click here & Design your Private Training

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)

Training Fees


Click on the button below to select your desired module and register. A confirmation email will be received after a successful registration. We accept payments by Paypal, bank transfers and credit cards.




1- You need a constant internet connection and a connecting device (Laptop, Mobile, or Tablet) 

2- Training dates and schedules will be coordinated between the trainer and the participants.

3- A group discount of 10% applies to all modules (starting from 3 persons)

3- The minimum number to start a group is 5 participants.

4. Before registering, read the general training terms and conditions.

If you have any questions contact us at info@ms-researchhub.com, chat with us during our working hours or call us at +49 (0) 56149941680

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