Panel Data Analysis using Stata
Course
Online
Description
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Type
Intensive workshop
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Level
Advanced
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Methodology
Online
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Class hours
36h
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Duration
12 Weeks
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Start date
Different dates available
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Online campus
Yes
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Delivery of study materials
Yes
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Support service
Yes
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Personal tutor
Yes
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Virtual classes
Yes
instructor led online course in Panel Data Analysis using Stata and master the application of advanced econometric methods to real world cases. The course covers basic panel data techniques like fixed effect and random effect models and advances to GMM and PMG estimators for Panel Data
The course is best recommended for PhD students in Economics, Finance, Business, Management, Political Economy, Public Policy, International Trade, Health Economics, Environmental Economics and Social Sciences to help them write their PhD Thesis.
Facilities
Location
Start date
Start date
About this course
Developing strong understanding of the core theory with practical demonstrations.
Enabling the students to develop a research design with application of econometric theory to panel data
Developing strong data analytics skills with computing skills in relevant econometric softwares
Enabling the participants to write effective reports and high impact research papers, thesis or dissertations
Our courses are designed specifically looking into the problems of students and researchers in understanding the core concepts and application of theory to test real world scenarios.
No specific requirement but basic understanding of basic mathematical functions, statistical inference is a plus point.
Upon completing the course in Panel Data Analysis, students will earn credit towards Econometrics Diploma from AnEc Center for Econometrics Research and will be provided with a Course Certificate duly verifiable from Accredible and LinkedIn.
The course is part of our Diploma series in Advanced Econometric Modeling and Applied Econometrics Research which are intensively designed for research students in addition to conventional topics in Panel Data Analysis on demonstration basis.
Students will have to opt in module selection between private research course or public research course. Private research course allow the students to complete their PhD thesis or MSc dissertation during the course will public research course allows them to work on joint publications.
Yes. Each participating student will receive completely free instructor led lessons, complete codes to practice the lesson and related reading material including books and research papers.
Reviews
Subjects
- Data analysis
- Economics
- Stata
- Eviews
- Econometric
- Research Literature
- Research project management
- Report editing
- Report Writing
- Statistics
Teachers and trainers (1)
Muhammad Anees
Assistant Professor, Founder Econometrics Research Center
I am professionally trained and the highly recogized online course provider in Stata, Eviews, SPSS, Nvivo10/11, WinRATS, SAS, GAUSS, Gretl, Minitab, C++, JavaScript and Python. I helped more than 300 clients from around the world in applied econometrics and statistics for corporate governance, financial performance, economics research, business evaluation, Value at Risk, Options Pricing, Stock Evaluation, Pairs Trading and Backtesting through the use of above statistical softwares. It is backed by my education in economics, statistics and econometrics from The University of Sheffield, UK.
Course programme
- Learning Stata Quickly
- Statistical Inference using Regression Models
- Linear models and Nonlinear Models
- Random Effect vs Fixed effect
- Hausman Test
- Testing endogeneity, Heteroskedasticity, Autocorrelation, Multicollinearity and Serial Correlation
- Instrumental-variables estimators
- Hausman–Taylor Specification of Panel Data Models
- Models with endogenous variables and 2SLS
- Dynamic panel-data models including GMM
- The Arellano–Bond GMM estimator
- The Arellano–Bover/Blundell–Bond GMM estimator
- Random- and fixed-effects estimators for binary models
- Random- and fixed-effects estimators for count-data models
Additional information
Panel Data Analysis using Stata