Short Course on Longitudinal/Panel and Time Series Data Analysis using Stata

9 months ago Posted By : User Ref No: WURUR101852 0
  • Image
  • TypeWorkshop
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  • Location Nairobi, Kenya
  • Price
  • Date 24-10-2022 - 28-10-2022
Short Course on Longitudinal/Panel and Time Series Data Analysis using Stata, Nairobi, Kenya
Workshop Title
Short Course on Longitudinal/Panel and Time Series Data Analysis using Stata
Event Type
Workshop Date
24-10-2022 to 28-10-2022
Last Date for Applying
Nairobi, Kenya
Organization Name / Organize By
Organizing/Related Departments
Organization Type
Both (Technical & Non Technical)
All (State/Province/Region, National & International)
Related Industries



Information Technology

Nairobi, Kenya


Longitudinal or panel data are multi-dimensional data involving measurements over time. Such data are analysed using dynamic model. Dynamic models have become increasingly popular due to their ability to take into account both short and long term effects and unobserved heterogeneity between economic agents in the estimation of the parameter estimates. Stata is very specialized in handling dynamic data.

This training course provides an overview of existing dynamic data analysis techniques. Participants will be taken through a series of illustrative examples, with a theoretical and applied overview. Recent issues in dynamic panel data analysis will also be covered. The course concludes by addressing the issues of; i) non-stationarity in long panels, where the time series (as opposed to cross-sectional) characteristic of the data dominates; and ii) cointegration. The training will pay particular attention (using a combination of both official Stata and user written dynamic panel data analysis commands) to: i) evaluating which specific econometric methodology/specification is more appropriate for the analysis in hand; ii) selection of the appropriate instruments; iii) rigorous post estimation diagnostic/specification testing; and iv) the problems of inference resulted from weak-instrument bias, instrument-proliferation bias and small-sample bias. Special attention will also be given to the interpretation and presentation of results.



5 Days



  • By the end of this training, participants will become knowledgeable in the following:

· Usefulness and problems with Panel Data

· Opportunities and challenges of panel data.

· Linear models data analysis with dynamic data

· Logistic regression models with dynamic data

· Count data models with dynamic data

  • Linear structural equation models with dynamic data



Module 1: Introduction

Introduction to Panel Data

•        Why Are Panel Data Desirable?

•        Problems with Panel Data

•        Examples of Time-varying and time-invariant variables


Opportunities and challenges of panel data.

•        Data requirements

•        Control for unobservable

•        Determining causal order

•        Problem of dependence

•        Software considerations


Module 2:Linear models

•       Robust standard errors

•        Generalized estimating equations

•        Random effects models

•        Fixed effects models

•        Between-within models


Module 3: Logistic regression models

•        Robust standard errors

•        GEE

•        Subject-specific vs. population averaged methods

•        Random effects models

•        Fixed effects models

•        Between-within models


Module 4: Count data models

•        Poisson models

•        Negative binomial models


Module 5: Linear structural equation models

•        Fixed and random effects in the SEM context

•        Models for reciprocal causation with lagged effects



This training can also be customized for your institution upon request. You can also have it delivered to your preferred location. For further inquiries, please contact us through: Telephone: +254 732 776 700 or Email: [email protected]



Participants should be reasonably proficient in English.  During the trainings, participants should come with their own laptops.



The course fee covers the course tuition, training materials, two break refreshments, lunch and a study visit (where applicable).



FineResults Research Services arranges accommodation for their clients upon request. For reservations contact us through Telephone: +254732776700 or Email: [email protected]

Registration Fees
Registration Fees Details
USD 900, KES 80,000
Registration Ways
Fahari Palace Apartments, along Church Road, Nairobi Kenya  Fahari Palace Apartments, along Church Road, Nairobi Kenya 
Official Email ID

Fahari Palace Apartments, along Church Road, Nairobi Kenya

[email protected]

   +254 732 776 700      +254 732 776 700

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