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Welcome to CSE


EALE logo SaM Inaugural Conference in Bristol

The European Search and Matching (SaM) network will hold its inaugural conference on July 4-5, 2011 at the University of Bristol.

This conference will be an opportunity to honor the 2010 Nobel laureates Dale Mortensen and Chris Pissarides, who will both be giving keynote lectures.

The event will be hosted and jointly sponsored by CSE.

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EALE logo Harry Paarsch joins CSE!

CSE is delighted to welcome Professor Harry Paarsch, from the University of Melbourne, as its third external fellow.
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EALE logo Klaus Waelde joins CSE!

CSE is delighted to welcome Professor Klaus Waelde, from the University of Mainz, as its second external fellow.
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EALE logo CSE's Greg Jolivet wins EALE prize

Greg Jolivet of CSE has been awarded the 5th "EALE Labour Economics Prize" for his paper A Longitudinal Analysis of Search Frictions and Matching in the U.S. Labor Market published in Labour Economics in 2009.
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Wikipedia logoCSE on Wikipedia!

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The Centre for Structural Econometrics (CSE) is a unique research centre, dedicated to studying the usefulness of explicitly incorporating economic theory (structure) into empirical analyses. CSE brings together applied economic theorists and econometricians to foster the development of new structural models and estimation techniques capable of addressing a wide range of fundamental economic topics. These topics include, but are not limited to, female labour force participation, gender pay differentials, earnings dynamics, immigration flows, housing, mortgage, and portfolio choices, firm investment decisions, price formation, auctions, and economic growth and development.

The overriding objectives of CSE are to uncover the relative advantages of adopting a structural framework for empirical work, in comparison to more widespread a-theoretical approaches to econometric analysis, and ultimately to advance theory-based applied economic research in the UK and internationally, thus yielding new insights into underlying mechanisms of the economy, and better informing decision-makers in both the public and private sectors.

© Centre for Structural Econometrics 2009