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.

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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

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

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* Group Training Dates: Feb-June-Sep

* Duration: 9 hours

* Payment categories: Standard/Student/Offline

190 EUR/ 110 EUR / 72 EUR

Module 4:

Advanced topics

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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:

Standard/Student

590 EUR/ 390 EUR

Module 7 (Prog-Metrics):

Common Models Using Python

(Practical labs only)

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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

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* Group Training Dates: May-Dec

* Duration: 8-9 hours

* Payment categories:

Standard/Student

290 EUR/ 170 EUR

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* 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

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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
Introduction to Mixed Data Sampling (MIDAS)^new
HAC Estimators^new

Module 5 (Prog-Metrics):

Basics Using R

(Practical labs only)

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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:

Standard/Student

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

Design Your Private Training

Free Consultancy

+49 0 17686387586

info@ms-researchhub.com

+49 0 15225886301

Module 3:

Panel data econometrics

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

Request your own private training

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* 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:

Standard/Student

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

Reviews

EXCELLENT & SPECIALIZED

Mohammad S.

Ph.D. Fellow, IBA Karachi

Good place to learn up-to-date research skills

DIVERSE RESOURCES

Lewis Leech

amazing resources. highly recommend

EFFICIENT

Elina

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.

GOOD TRAINING

Jorge

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.