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STICERD Econometrics Seminar Series

Inference for Regression with Variables Generated from Unstructured Data

Stephen Hansen (UCL), joint with Laura Battaglia (Oxford), Timothy Christensen (UCL) and Szymon Sacher (Stanford)

Thursday 21 November 2024 14:00 - 15:30

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Unless otherwise specified, in-person seminars are open to the public. Please ensure you have informed the event contact as early as possible.

Those unable to join the seminars in-person are welcome to participate via zoom if the event is hybrid.


About this event

The leading strategy for analyzing unstructured data uses two steps. First, latent variables of economic interest are estimated with an upstream information retrieval model. Second, the estimates are treated as “data” in a downstream econometric model. We establish theoretical arguments for why this two-step strategy leads to biased inference in empirically plausible settings. More constructively, we propose a one-step strategy for valid inference that uses the upstream and downstream models jointly. The one-step strategy (i) substantially reduces bias in simulations; (ii) has quantitatively important effects in a leading application using CEO time-use data; and (iii) can be readily adapted by applied researchers.

STICERD Econometrics seminars are held on Thursdays in term time at 14.00-15.30, in SAL 3.05, unless specified otherwise.

Seminar organisers: Dr Yike Wang, Professor Tai Otsu, and Dr Vassilis Hajivassiliou.

For further information please contact Sadia Ali: s.ali43@lse.ac.uk.

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