IDEAS home Printed from https://ideas.repec.org/p/boc/pcon26/2.html

regpeerw: Estimation of regressions with peer effects

Author

Listed:
  • Paulo Guimarães

    (Universidade do Porto)

Abstract

This presentation introduces a Stata command that implements an efficient variant of the peer-effects regression model of Arcidiacono (2012). The command augments linear regressions with peer effects defined as the average of individual fixed effects within peer groups and allows for flexible specifications, including heterogeneous peer effects by individual type, subgroup-specific peer effects, and weighted peer contributions. Additional fixed effects can be absorbed directly in the regression. Compared with existing implementations, the proposed algorithm is computationally more efficient and delivers correct estimation of clustered standard errors. The command is designed for scalable and flexible empirical analysis of peer effects in large datasets.

Suggested Citation

Handle: RePEc:boc:pcon26:2
as

Download full text from publisher

To our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a
for a similarly titled item that would be available.

More about this item

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:pcon26:2. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.html .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.