Longitudinal/Panel and Time Series Data Analysis using Stata
Details
Date: Event
10th -14th /05/2021 :Longitudinal/Panel and Time Series Data Analysis using Stata
21st -26th /06/2021 : Longitudinal/Panel and Time Series Data Analysis using Stata
12th – 16th /07/2021: Longitudinal/Panel and Time Series Data Analysis using Stata
16th – 20th /08/2021 :Longitudinal/Panel and Time Series Data Analysis using Stata
Venue: FineResults Research Services, Nairobi, Kenya Training Centre.
Click to Register: Physical class USD 800
: Online Training USD 700
Contact us: email: [email protected] or Cell phone (+254 759 285 295)
INTRODUCTION
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-stationary 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.
DURATION
5 Days
COURSE OBJECTIVES
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
COURSE OUTLINE
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
TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location.
For further inquiries, please contact us through Mobile: (+254 759 285 295) or Email: [email protected]
REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.
TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through Mobile: (+254 759 285 295)
Or Email: [email protected]
PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: [email protected]
CANCELLATION POLICY
- All requests for cancellations must be received in writing.
- Changes will become effective on the date of written confirmation being received.
Visit our website for more details
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Payment should be transferred toFineResults Research Services account through bank on or before C.O.B. 7th May 2021
Send proof of payment to [email protected]
View our Research Institute coursesFor any registration of 3 or more participants; we offer a discount of up to 10%.
Click here now toRegister.For further inquiries [email protected] or contact us on Tel: +254 759 285 295
FineResults Research Services offers training solutions to individuals, communities, governments and civil society organizations, both local and international.
We also provide application-oriented and field-based consultancy services in all aspects of research and evaluations from inception to completion. This includes research designs, designing monitoring and evaluations systems, technical reviews, programme evaluations, questionnaire validation, data collection, data capture, data analysis and report writing. FineResults Research Services is a limited company incorporated under the laws of Kenya. Its head office is in Nairobi Kenya.
The organization has a wide range of experience working with both local and international organizations in both consultancies and capacity building in Africa and beyond.
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