Become an expert in Econometrics, thanks to TECH, the best online university in the world according to Forbes”

Econometrics is a valuable tool for applying economic theory and statistics to problems related to various sectors such as engineering. This discipline can help engineers to evaluate projects and make informed decisions on resource planning and management, as well as in the research and development of new products and services.  

For this reason, TECH has designed a Postgraduate certificate in Econometrics with which it seeks to provide students with the necessary skills and competencies to be able to perform their work as specialists, with the highest possible efficiency and quality. Therefore, throughout this program, aspects such as Quantile Regression Models, Linear Regression, R Management, Economic Modeling or Multicollinearity and Measurement Errors will be addressed. 

All this, through a convenient 100% online format that allows students to organize their schedules and studies, combining them with their other day-to-day work and interests. In addition, this program is equipped with the most complete theoretical and practical materials on the market, which facilitates the student's study process and allows them to achieve their objectives quickly and efficiently. 

Acquire new knowledge on Econometric Methods in Economics and Finance, in just 6 weeks and with complete freedom of organization”

This Postgraduate certificate in Econometrics contains the most complete and up-to-date educational program on the market. Its most notable features are:

• The development of case studies presented by experts in Econometrics   
• The graphic, schematic and eminently practical contents with which it is conceived provide sporting and practical information on those disciplines that are essential for professional practice 
• Practical exercises where the self-assessment process can be carried out to improve learning 
• Its special emphasis on innovative methodologies  
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments 
• Content that is accessible from any fixed or portable device with an Internet connection 

Get a successful position in one of the most promising areas of the engineering field, thanks to TECH and the most innovative materials”

The program’s teaching staff includes professionals from sector who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.  

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.  

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year For this, purpose students will be assisted by an innovative interactive video system developed by renowned experts. 

Access all the content on Economic Modeling from your Tablet, cell phone or computer and without the need to travel"

Delve into the Contrasts of Structural Change in a convenient 100% online format and at any time of the day"

The structure and all the didactic resources of this program have been designed by the renowned professionals that are part of TECH's team of experts in this area of Engineering. These specialists have used their extensive experience and their most advanced knowledge to create practical and completely up-to-date contents. All this, based on the most efficient teaching methodology, TECH's Relearning.

Expand your knowledge of Linear Regression and ARIMA Model Estimation, thanks to the most innovative teaching materials and additional content available on the Virtual Campus” 

Module 1. Econometric Methods in Economics and Finance

1.1. Introduction to the Use of R

1.1.1. Main Commands
1.1.2. Necessary Packages

1.2. Introduction to Econometrics

1.2.2. Nature and Content of Econometrics
1.2.3. Economic Modeling

1.3. Linear Regression

1.3.1. The General Linear Model (GLM)
1.3.2. Model Hypotheses
1.3.3. Ordinary Least Squares (OLS) Estimation
1.3.4. Inference and Prediction in the GLM
1.3.5. Structural Change Contrasts
1.3.6. Multicollinearity and Measurement Errors

1.4. Models with Cross-Section Data

1.4.1. Causes of Heteroscedasticity
1.4.2. Heteroscedasticity Contrasts
1.4.3. The Generalized Least Squares Estimator
1.4.4. The Feasible Weighted Least Squares Estimator

1.5. Models with Time Series Data

1.5.1. Magic "Potagia" or the Spurious Regressions
1.5.2. Stationarity and Unit Roots
1.5.3. Non-Stationarity and Cointegration
1.5.4. Cointegration and Error Correction Mechanisms (ECMs)
1.5.5. Regression Models with Stationary Time Series: Autocorrelation
1.5.6. The Generalized Least Squares Estimator (GLS)
1.5.7. Leading Indicators: Granger Causality and Contemporaneous Correlation

1.6. Stationary Dynamic Models

1.6.1. Stationary Dynamic Models

1.6.1.1. ARIMA
1.6.1.2. ARIMAX

1.6.2. Estimation of ARIMA Models
1.6.3. Diagnosis of ARIMA Models

1.7. Endogeneity, Instrumental Variables and MC2E

1.7.1. What is the Endogeneity Problem, What Problems Does It Cause?
1.7.2. Origins of Endogeneity

1.7.2.1. Omission of Some Relevant Variable (Because It Is Not Observable) That Is Correlated with Some Other Explanatory Variable
1.7.2.2. Errors in the Measurement
1.7.2.3. Regression Model with Lags and Autocorrelation in Errors

1.7.3. Instrumental Variables Estimator and Two-Stage Least Squares (MC2E)
1.7.4. Endogeneity Contrasts and Overestimation Constraints

1.8. Regression Models with Panel Data

1.8.1. Specification of Panel Data Models
1.8.2. Estimation of Models with Fixed Effects
1.8.3. Estimation of Models with Random Effects
1.8.4. System of Apparently Unrelated Equations

1.9. Spatial Econometric Models

1.9.1. Introduction to Statistics and Measures of Spatial Association
1.9.2. The Construction of the Distance Matrix for Measuring Spatial Dependencies
1.9.3. Model specifications with spatial dependence

1.9.3.1. Error Model with Spatial Delays
1.9.3.2. The Model with Spatially Autoregressive Errors

1.9.4. Ordinary Least Squares Problems for Estimating Spatially Delayed Models and the Two-Stage Least Squares Estimator

1.10. Quantile Regression Models

1.10.1. Regression on Means and Quantile Regression
1.10.2. Interquantile Regression Estimation
1.10.3. Graphical Representation of the Solution 

The most efficient pedagogical methodology, TECH Relearning, allows you to acquire new knowledge in a precise way and without spending too much time studying”