| Foundations of Econometrics | Time Series Data Analusis | Panel Data Analysis |
| This is the first series and covers fundamental techniques and tools required for more advanced data analysis and modelling. This series will delve into the following areas of the study: | This is the second series and aims to develop participants’ ability to understand modelling and forecasting of time series data sets. The topics that will be covered include:
· Introduction to Time Series Modelling (Stationary vs Non- Stationary Data, Autocorrelation Functions and Partial Autocorrelation Functions, and Testing for Unit Root (Non- Stationarity) in Time Series Data · Univariate Time Series Modelling (AutoRegressive, Moving Average, Autoregressive Integrated Moving Average Models, Forecasting using ARIMA Models, Exponential Smoothing Models, Forecasting Error/Accuracy of Forecasting Models
· Multivariate Time Series Modelling (Vector Autoregressive Models (including Impulse Response Functions and Variance Decompositions) and Modelling Cointegration: Testing for; Modelling Cointegrated systems |
This is the third series and we focus on data that spans multiple cross sections and time periods. The course will include (but is not limited to) the following:
· Introduction to Panel Data Techniques · Fixed Effects Model · Random Effects Model · Diagnostic Tests of Panel Data · Hausman Test · Seemingly Unrelated Regressions · Dynamic Panel Modelling (Panel GMM) |
| · Types of data | ||
| · Descriptive Statistics and Visualizations Moments, Probability Distributions, Histograms, Box Plots, etc. | ||
| · Methods of estimation using cross sectional data: An introduction to Simple Linear Regression, Multiple Regression Analysis and Regression with Categorical Independent Variables | ||
| · Statistical Inference and Hypothesis testing | ||
| · Further Multiple Regression Analysis |
SCHEDULE
| Session | Dates |
| Introduction/Foundations to Econometrics | 25th – 29th February 2020 |
| Time Series Data Analysis | 10th – 12th March 2020 |
| Panel Data Analysis | 24th -26th March 2020 |
To register pay:
KES 30,000 (USD 300) per session
KES 90,000 all sessions
SU Students & Staff KES 15,000 per session
KES 45,000 all sessions
(Registration Fees cover attendance, training materials, certificate & meals.
Students will have access to Stata 15 during the entire training period.)
To register, click here.
Mode of Payment
MPESA
Business Number: 100219
Account Number: Econometrics Workshop
BANK DEPOSIT
Name: Strathmore University
Bank: STANDARD CHARTERED BANK
Account Number & Currency: 0102044844000 (KES)
Bank Branch: Karen Bank
SWIFT Code: SCBLKENX
TARGET GROUP
- Lawyers – The use of econometrics and empirical analysis generally in antitrust cases reflects the increasing reliance by the courts and by the antitrust agencies on economic methods and
- Health care professionals e. Doctors, dentists, nurses, therapists to enhance their skills on examine, diagnose and treat patients.
- Engineers – to strengthen their econometric as they apply the principles of science and mathematics to develop economical solutions to technical
- Marketers – in promoting the business and mission of an
- HR – boost HR employees’ skill to develops and manages company’s culture towards meeting the business needs
- Academia – to strengthen lecturers teaching and research skills
- IT/Data scientist/Researchers/Statisticians /Social Scientist (Economist, Political Scientist, Anthropologist and Sociologist) – to widen their econometric tools to allow them extract useful information about important economic policy issues from the available data
- Students – learning econometrics will provide tools that will allow students to be able to undertake individual research
CONTACTS DETAILS
For any further information / clarification please contact: crae@strathmore.edu or 0703 034 067 during office hours (9.00AM TO 5.00PM Monday to Friday).
