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EU 6th Framework Programme

Microdata Methods and Practice

supported by the EU 6th Research Framework and Marie Curie Research Training Actions

 

 

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Meetings

The Network plans seven conferences that will allow trainees to present their work and interact with senior researchers in formulating further research plans. The meetings also allow the scientific committee to monitor the progress of the various teams in meeting their goals and the quality of their interaction in the training programme and in promoting the main themes of the network. Meetings will also be used in order to involve researchers from outside the Network in the workings of the group, bringing in fresh ideas and helping to recruit young researchers.

Dynamic Econometric Models

Date: 25 Mar 2010 10:00 to 26 Mar 2010 17:00
Type: Training Course
Venue: UCL Economics Department [see directions]
Price: £195.00 + VAT (members); £1250.00 + VAT (non-members)
Programme: Download programme

This course presents an introduction to econometric methods applied to the empirical analysis of dynamic economic processes. Next to classical applications in empirical macroeconomics and finance, the approaches surveyed in this course are also increasingly used in applied competition economics. The course starts with a review of the generalized method of moments approach to estimation that encompasses almost all the models covered in the course. It then surveys the main econometric models for univariate and multivariate processes and various tools for diagnostic testing. The theoretical exposition is accompanied by a sequence of computer practicals that implement the various econometric models and techniques in applications which relate to competition analysis in the US petroleum industry. Stata will be used.

Level of knowledge required: This course is suited for applied economists with an advanced undergraduate level background in econometrics; for the applied part of the course some basic familiarity with competition economics is useful, but not required.

Speakers
Walter Beckert, Birkbeck College London

 
 
 
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