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Longitudinal/panel And Time Series Data Analysis Using Stata by FINERESULTS(m): 1:37pm On Jan 25, 2021
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Institute courses at our FineResults Services training facilities in Nairobi, Kenya.
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: training@fineresultsresearch.org 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: training@fineresultsresearch.org


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: training@fineresultsresearch.org

PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email: training@fineresultsresearch.org

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 to FineResults Research Services account through bank on or before C.O.B. 7th May 2021
Send proof of payment to training@fineresultsresearch.org
View our Research Institute courses

For any registration of 3 or more participants; we offer a discount of up to 10%.

Click here now to Register.
For further inquiries email training@fineresultsresearch.org or contact us on Tel: +254 759 285 295

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