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.

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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.

At affordable prices access complete video series of advanced econometric models, covering theories and real data applications. Click here to explore the library

We will stay by your side until you break the ice with econometrics, start enjoying and mastering its tools.

  • 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).
  • If you could not find what you are looking for or you need a quick start, flexible and condensed training plan then design your personalized private training. 
  • We use Cisco's WebEx, Zoom and Business Skype online platforms to deliver our training. We can also organize training on-site upon request.

 

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. 

 

 

Proceed to the payment page and start your training.


1- All that you need is a laptop, internet connection, speaker and Mic. 

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

3- The minimum number to start a group is  7 participants.



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

 

 

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)



 

 

 

 

 

 

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Duart

 

 

 

 

 

 

 

 

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
  • DCC under GMM new
  • Dynamic Threshold new
  • Intro to Global VAR new

 

 

 

 

 

 

 

Duration: 25 Hours (7-8 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) 

 

 

 

Stay Updated

 

 

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)
  • ARDL, ARMA & ARIMA
  • Volatility models: ARCH family
  • In and out-sample Forecasting new



 

 


Duration: 19 Hours (4-5 weeks)



 

 

 

 


 

 

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 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) 

 

 

 

 
 


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