Longitudinal Panel And Time Series Data Analysis Using Stata

6 months ago Posted By : User Ref No: WURUR80022 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 13-12-2021 - 24-12-2021
Longitudinal Panel And Time Series Data Analysis Using Stata, Nairobi, Kenya
Training or Development Class Title
Longitudinal Panel And Time Series Data Analysis Using Stata
Event Type
Training or Development Class
Training or Development Class Date
13-12-2021 to 24-12-2021
Last Date for Applying
13-12-2021
Location
Nairobi, Kenya
Organization Name / Organize By
Fine Results Research Services
Presented By
Training Coordinator
Organizing/Related Departments
Training
Organization Type
Organization
Training or Development ClassCategory
Technical
Training or Development ClassLevel
All (State/Province/Region, National & International)
Related Industries

Education/Teaching/Training/Development

Research/Science

Business Development

Social Sciences

Location
Nairobi, Kenya

Course Title: Longitudinal Panel and Time Series Data Analysis using Stata

Duration: 10 Days

Location: Fahari Palace Apartments, along Church Road, Nairobi Kenya

Cost: $ 1,600, Ksh 120,000

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-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.

 

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 unobservables

• 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

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TRAINING CUSTOMIZATION

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]

Registration Fees
Available
Registration Fees Details
$ 800, Ksh 65,000
Registration Ways
Email
Phone
Website
Address/Venue
  Fahari Palace Apartments, along Church Road, Nairobi Kenya 
Landmark
Fahari Palace Apartments
Official Email ID
Contact
Monicah Karingi

Fahari Palace Apartments, along Church Road, Nairobi Kenya

[email protected]

   +254 732 776 700