User talk:Theconometrician

Dynamic Panel Data Analysis using Stata
Dynamic Panel Data Analysis using Stata

Introduction

The dynamic panel data analysis is an advanced PhD level course in the area of Advanced Applied Econometrics. The main focus of this course is to extend the basic models for cross sectional (static individual level data across multiple individuals) to panel data (multiple individuals traced dynamically over multiple time periods). The course will cover range of topics basic econometrics but mainly focus will be put on the methods specifically designed to capture the dynamics through the analysis of 'panel' or 'longitudinal' data sets. Topics included are specification of the models, estimation and evaluation of the outcomes and drawing inferences through random and fixed effects (individual and firm specific attributes dynamically observed over time). The course is valuable in that it will not only cover theory but also cover extensive application of Stata routines specifically analysing the Panel Data from real world. The emphasis will be on covering the methods through hands on practice of the testing of hypotheses and concluding from the results.

Objectives

The participants will learn how to develop and test a specific model for panel data about individuals, firms and countries. The main objective of the course is to model the real world situations and hence conclude realistic inferences equally valuable to academic and professional participants. The learning outcome include specification and estimation of the models and evaluating the assumptions of the models to validate the outcome of estimates.

Outcomes

Participants will lean and be able to use Stata for advanced econometric modelling in area of dynamic panel data analysis. The core outcome of the course is expected to enable the participants confidently evaluate a model to be equally specific for the situation among all possible candidate models. The use of Stata will convince the participants as panel data is equally valuable for academic application and concluding business outcomes for longer term strategic decision making.

Audience

Academic and professionals in areas of economics, finance, business, human resources, marketing, social sciences, health sciences, political studies, industrial relations and macroeconomic policy making will highly benefit from the course equally.

Contents

1.   Simple Econometric Model Building 2.   Testing assumptions of the simple models 3.   Defining alternative models and proceeding to dynamics of the estimation 4.   Selecting fixed or random effect models 5.   Testing autocorrelation, heteroscedasticity and endogeneity 6.   2SLS models and Instrumental Regression models 7.   GMM and 2SLS Approach to develop an efficient and consistent models 8.   Interpretation of Results and Writing Styles

Schedule

The course is planned to start on April 30 and will be completed by 15th May. 4 Hours lecture per week and practical tutorials will be presented each week with case/example analysis and practice sessions. All lectures and tutorials will be offered on evenings of working days and mornings of weekend, whichever is preferred.

Fee

Each candidate will have to pay 950USD for full course. Discounts of 20% will be offered to registrants before 1st of April. 10% discount to registrations before 10th April and after 1st April. Group discount of 30% to each member on his fee. Class-wise/Institute level booking is available and booking for personalized schedule and advance start-up of the course is offered on special fees. Please contact us on email to discuss your personal course book or institutional offers.

Registration

You can register through email, online via course-booking page or through connecting on LinkedIn. Please click here to register for the public course.