Module 1: Introduction to Stata and Data Management

• Getting started with Stata: interface and basic commands
• Importing and exporting data in various formats
• Data exploration and descriptive statistics
• Creating and modifying variables
• Working with different data types
• Practical session: Importing data into Stata and performing basic data exploration.

Module 2: Simple Linear Regression Model

• The concept of linear regression
• Ordinary Least Squares (OLS) estimation
• Interpreting regression coefficients
• Measures of goodness of fit (R2 and adjusted R2)
• Standard errors and t-statistics
• Practical session: Estimating and interpreting simple linear regression models in Stata.

Module 3: Multiple Linear Regression

• The multiple linear regression model
• Interpreting coefficients in multiple regression
• Hypothesis testing for individual coefficients and joint hypotheses (F-test)
• Dummy variables and their interpretation
• Interactions between variables
• Practical session: Estimating and interpreting multiple linear regression models in Stata.

Module 4: Hypothesis Testing and Confidence Intervals

• Setting up null and alternative hypotheses
• Type I and Type II errors
• p-values and significance levels
• Constructing confidence intervals for regression coefficients
• Performing t-tests and F-tests in Stata
• Practical session: Testing hypotheses about regression coefficients using Stata.

Module 5: Violations of Ordinary Least Squares (OLS) Assumptions

• Heteroskedasticity: detection (Breusch-Pagan, White's test) and correction (robust standard errors, weighted least squares)
• Autocorrelation: detection (Durbin-Watson test) and correction (Newey-West standard errors)
• Multicollinearity: detection (VIF) and potential remedies
• Practical session: Testing for and addressing heteroskedasticity and autocorrelation in Stata.

Module 6: Panel Data Analysis: Fixed Effects Models

• Introduction to panel data structures
• The fixed effects (within) estimator
• Interpreting coefficients in fixed effects models
• Testing for fixed effects
• Applications of fixed effects models
• Practical session: Implementing fixed effects models for panel data in Stata.

Module 7: Panel Data Analysis: Random Effects Models

• The random effects (between) estimator
• Interpreting coefficients in random effects models
• Testing for random effects (Breusch-Pagan test)
• Choosing between fixed and random effects (Hausman test)
• Applications of random effects models
• Practical session: Implementing random effects models for panel data in Stata.

Module 8: Instrumental Variables Estimation

• The problem of endogeneity
• Introduction to instrumental variables (IV)
• Finding valid instruments
• Two-stage least squares (2SLS) estimation in Stata
• Testing for instrument validity (Sargan test)
• Practical session: Implementing instrumental variables estimation in Stata.

Module 9: Introduction to Time Series Analysis

• Basic time series concepts: stationarity, trend, seasonality
• Autocorrelation and partial autocorrelation functions (ACF and PACF)
• Testing for stationarity (ADF test)
• Introduction to ARIMA models (basic concepts)
• Practical session: Examining ACF and PACF plots and testing for stationarity in Stata.

Module 10: Limited Dependent Variable Models

• Binary dependent variables
• The logit model: estimation and interpretation
• The probit model: estimation and interpretation
• Marginal effects
• Prediction and classification
• Practical session: Estimating and interpreting logit and probit models in Stata.

Requirements:

·       Participants should be reasonably proficient in English.

·       Applicants must live up to Armstrong Global Institute admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@armstrongglobalinstitute.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@armstrongglobalinstitute.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@armstrongglobalinstitute.com or on Tel: +254720272325 / +254725012095 / +254724452588