Apologies for cross posting. I Just wanted to let you know that we still have places available on the course below with Dr Melvyn Weeks at Cambridge University.
Timberlake Consultants, official distributor of Stata, would like to invite you to attend the following 3-Day course.
Date: 13-15 April 2011
Location The department of Economics, Cambridge University, Cambridge, UK.
Level: Intermediate Course
Delivered By: Dr Melvyn Weeks, University of Cambridge.
This course provides a review and practical guide to a number of microeconometric models and estimators. We focus on panel and count data models and also examine a broad class of models of discrete choice behaviour. The course emphasise two estimators, the instrumental variable estimator, and the Generalised Method of Moments. The objective of the course is to provide a solid introduction to each of the topics, reviewing both the theoretical econometrics and the empirical literature. Each topic discussed is then illustrated with real data examples using Stata. Some of the examples and applications discussed include: the demand for differentiated products in the ready-to-eat cereal industry, flexible substitution patterns in the new car market, foreclosure in subprime mortgages, the number of patents held by firms, the number of children born to a woman.
Topics Include Generalised Method of Moments (the link between OLS, method of moments, IV and GMM)
Discrete Choice Models (conditional and multinomial logit, multinomial probit and mixed logit): Much of the data we collect in economics and the social sciences contains measures of economic activity that are inherently discrete. Common examples are the decision as to which mode of transport to use, which car to buy and whether to work full or part-time. Panel Data (pooled OLS, fixed and random Effects estimators, dynamic panel data methods):
Over the last 10 years we have witnessed a steady increase in the availability of datasets that contain observations at the level of the economic agent observed over time. So-called panel data models are now a mainstay of modern econometric methods. In this module we provide an introduction to panel data models commonly used in microeconometric applications, includingDynamic Panel Data Models introduced by Arellano and Bond.
Count Models (the Poisson regression model, extensions of the Poisson model, quasi-maximum likelihood estimation, generalised linear models, mixture models): Count data models are an important component of econometric methodology.
Phenomena as diverse as the number of patents held by a pharmaceutical company, the number of visits to a doctor, and the number of children born to a woman, are examples of data that are generated by a count process. This course is aimed at economists and applied econometricians who deal with different types of data and projects in their day-to-day work. Professionals who are interested to learn different techniques and raise their awareness of possible methodologies that can be used in their current or future projects will greatly benefit from this course.
Please follow this link for the course agenda http://www.timberlake.co.uk/Training/stata-111101.php
Prerequisites Basic knowledge of statistics and regression analysis. Previous work experience with econometrics is desirable as is familiarity with Stata fundamentals.
Cost: (Per Participant) Early bird and academic discounts are still available.
Commercial/Government £1,080.00 Excluding VAT Academic/Non-Profit Research £840.00 Excluding VAT and Students £450.00 Excluding VAT.
Discounts are available for early and multiple registrations.
Please register early to guarantee your place. If you need assistance in locating hotel accommodation in the area, request the help of the Timberlake Training Department. The cost includes course materials, lunch, refreshments and the use of computers.
To register or for further information, please conatct Ashley Dyer on 020 8697 3377 or by emailing [log in to unmask]
We look forward to hearing from you
Timberlake Consultants Ltd
Unit B3, Broomsliegh Business Park
Worsely Bridge Rd
London SE26 5BN
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