Econometrics Offline Training

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Single Course

*Explore available courses


*Pick your course and pay its access fees 


*The package include watching the videos online for 3 months and downloading all associated codes, slides and material


*Certificate of enrollment after completing your target courses

Monthly Plan

*Unlimited access for all courses in the library for 1 month


*The package include watching the videos online and downloading all associated codes, slides and material.


*99.90€ /Month




* Monthly cancellable


6-Month Plan

*Unlimited access for all courses in the library for 6 months


*The package include watching the videos online and downloading all associated codes, slides and material.


*390.90€ /6 Months


 




Annual Plan

*Unlimited access for all courses in the library for 1 year


*The package include watching the videos online and downloading all associated codes, slides and material.



*690€ / year





More than 60 hours of illustrated training courses. New courses are added regularly to the library.

Courses are tailored to three proficiency levels, namely Beginner, Intermediate, and Advanced.

Supervised by top experts

in their respective fields, with step-by-step guidance on theory, mathematics, and practical applications.

Starter level


Number of offline classes: 1

Enrolled trainees: 230



Basic Econometrics   

"Complete course on the basis of econometrics using real data applications on STATA "



Complete content: 4 Videos

Total duration:  540 Minutes

Software codes, materials, and datasets are included for free


Unlock the full course for only 72 € and get instant access. 


Discount code: IJD04

Topic 1: Econometrics as a validity tool: Power of rejection, correlation V.s. causality, and Benchmarks


Topic 2: Classical Linear Regression Assumptions and Hypothesis testing


Topic 3: Single and Multiple regression


Topic 4: Ordinary Least Squares (OLS): estimators calculation, efficiency, and unbiasedness estimators.


Topic 5: Specification problems: detection and remedy: e.g Autocorrelation, Hetrosk., Collinearity.


Topic 6: Dummy Variable Models - Setting up the models and interpretations


Topic 7: Weighted Least Square (WLS) and Generalised Least square (GLS).

Intermediate level


Number of offline classes: 4

Enrolled trainees: 780



Time Series Econometrics 


"Complete course on the theoretical foundations of  wide selection of time series models with detailed real data applications on STATA "



Complete content: 6 Videos

Total duration:  1500 Minutes

Software codes, materials, and datasets are included for free


Unlock the full course for only 174 € and get instant access. 


Discount code: IJD04

Topic 1:Time Series Econometrics: Introduction, preparing dataset and data description


Topic 2: Stationarity and model selection criteria


Topic 3: Cointegration and causality 


Topic 4: HP filter and cyclical decomposition


Topic 5: HAC estimators 


Topic 6: ARDL models


Topic 7: Volatility models: ARCH and GARCH


Topic 8: Stationary time series models: VAR, VECM, VARX, and SVAR


Topic 9: In and out of sample forecasting


Topic 10: Introduction to Mixed Data Sampling (MIDAS)

Difference in Difference 

"Complete course on the theoretical foundations of the DID model with detailed real & simulated data applications on STATA "



Complete content: 8 Videos

Total duration: 150 Minutes

Software codes, Materials, and datasets are included for free


Unlock the full course for only 119 € and get instant access.

Discount code: IJD04

Video 1: Course description and introduction to PSM

Video 2: Treatment effect on the treated and PSM

Video 3: Calculating the propensity score

Video 4:  Options to use in STATA related to PSM

Video 5: Reviewing the problems of LPM and the benefits of Logit and Probit

Video 6: Applying t effects to estbalish the ATE

Video 7: Applying t effects to estbalish ATET

Video 8: A test of the covariance balance psmacth2 and final considerations

Panel Data Econometrics 


"Complete course on the theoretical foundations of a wide selection of panel data models with detailed real data applications on STATA "



Complete content: 6 Videos

Total duration: 2100 Minutes

Software codes, materials, and datasets are included for free


Unlock the full course for only 210 € and get instant access. 


Discount code: IJD04

Topic 1: Panel data: Introduction, preparing dataset and data description


Topic 2: Panel specification tests (Chow, wald, panel unit root, Hausman, etc.)


Topic 3: Pooled OLS, fixed, dynamic fixed & random-effects models.


Topic 4: Dynamic panel models: DPD, panel VAR & GMM


Topic 5: IV models


Topic 6: Panel ARDL


Topic 7: Panel Data for Limited dependent variables


Topic 8: DCC under GMM


Topic 9: Dynamic Threshold


Topic 10: Intro to Global VAR

Complete content: 7 Videos

Total duration: 153 Minutes

Software codes, Materials and datasets are included for free


Unlock the full course for only 132 € and get instant access. 


Discount code: IJD04

Video 1: Course description and introduction to DiD

Video 2: Treatment effect and DiD estimator

Video 3: TOT and application of basic DiD model

Video 4: Fixed effects and DiD approach

Video 5: Combination of fixed effects and DiD

Video 6: Applying all togeather

Video 7: Final interpretations

Propensity Score Matching  


"Complete course on the theoretical foundations of the PSM model with detailed real data applications on STATA" 



Advanced level


Number of offline classes: 6

Enrolled trainees: 620



Bayesian SVAR & Regime Switching Models Using R & STATA   

"Complete course on the theoretical foundations of Bayesian SVAR and Markov switching models with practical applications on R and STATA"


Complete content: 10 Videos

Total duration:  300 Minutes

Software codes, Materials, and datasets are included for free


Unlock the full course for 310€ and get instant access. 


Discount code: IJD04

Topic 1: Course description and brief into to structural equations

Topic 2: Intro. to structual VAR

Topic 3: Coding in R - SVAR application

Topic 4: Coding in STATA - SVAR application

Topic 5: Bayesian inference

Topic 6: Theoretical background on Bayesian inference, Bayesian SVAR and Switching models 1

Topic 7: Theoretical background on Bayesian inference, Bayesian SVAR and switching models 2

Topic 8: Bayesian SVAR and Markov Models - Coding in R

Topic 9: Extra notes and Q&A session

Principal Component Analysis (PCA) using STATA   

"Complete course on the theoretical foundations of PCA with practical applications on STATA"


Complete content: 3 Videos

Total duration:  300 Minutes

Software codes, Materials, and datasets are included for free


Unlock the full course for 120€ and get instant access. 


Discount code: IJD04

Topic 1: Mathematical Concepts used in PCA e.g. Eigenvectors and values, etc


Topic 2: Theoretical foundations of PCA: setting data set 


Topic 3: Transforming the data and Covariance matrix formulation


Topic 4: Calculate Eigenvectors and Eigenvalues using the covariance matrix


Topic 5: Choosing components and forming a feature vector


Topic 6: Step by step codes for PCA on STATA


Topic 7: Explaining the inference of the results


Topic 8: Deriving principal components from the data


Wavelets and Quantile on Quantile

"Complete Course on Wavelets and Quantile methods with practical applications on R and Matlab"


Complete content: 7 Videos

Total duration:  420 Minutes

Software codes, Materials, and datasets are included for free


Unlock the full course for 115€ and get instant access. 


Topic 1 Introduction to R-Programming Language and R-studio Interface


Topic 2:  The basic concept of Wavelet and its applications


Topic 3: Decomposition and plotting of the series using the MODWT method.


Topic 4: Wavelet correlation, wavelet covariance, and cross-wavelet correlation


Topic 5: Continuous wavelet transform and cross wavelet transform


Topic 6: Wavelet coherence  and partial wavelet coherence 


Topic 7: Introduction to quantile on quantile and quantile autoregressive distributed lags error correction model to times series


Topic 8: Granger causality in Quantile on Quantile regression


Topic 9: Non-parametric quantile methods 

Bayesian for Research & Data Science

"Complete Course on Bayesian methods with practical applications on Python"


Complete content: 5 Videos

Total duration:  540 Minutes

Software codes, Materials, and datasets are included for free


Unlock the full course for 145€ and get instant access. 


Topic 1 Introduction and setup


Topic 2:  Probability theory


Topic 3: Model inference


Topic 4: Probalistical programming


Topic 5: Bayesian AB testing


Topic 6: Hierarchical models


Topic 7: Simple linear regression


Topic 8: Hierarchical linear regression


Topic 9: Logistic regression


Topic 10: Bayesian Neural network

Intro. to Machine Learning

"Complete Intro. Course on Machine learning with practical applications on Python and Colab"


Complete content: 5 Videos

Total duration:  177 Minutes

Software codes, Materials, and datasets are included for free


Unlock the full course for 55€ and get instant access. 


Topic 1: Introduction, Data structures, Statistics, and linear algebra


Topic 2: Solving system of equations, Optimization, and automatic differentiation


Topic 3: Gradient Descent, Gradient Descent optimization


Topic 4: Implementing Ordinary Least Squares, and Maximum Likelihood Estimation


Topic 5: Artificial Neural Networks, Mathematics of ANNs, Implementation, and a few examples


Topic 6: Machine Learning Algorithms,


Topic 7: Bootstrap Aggregation


Topic 8: Gradient Boosting

Intro. to CGE Modeling

"Complete Intro. Course on CGE with introduction to GTAP/GEMPACK"


Complete content: 8 Videos

Total duration:  70 Minutes

Software codes, Materials, and datasets are included for free


Unlock the full course for 19.99$ and get instant access. 


Topic 1: Introduction and Course Agenda


Topic 2: CGE modeling definition, uses, and scope


Topic 3: Difference between CGE, PE and Econometrics


Topic 4: CGE Model Structure


Topic 5: CGE Model steps


Topic 6: Walras Law 


Topic 7: Intro. to GTAP database


Topic 8: Running the first simulation


Topic 9: SAM and IO Tables+Practical Calibration exercises