This dataverse contains the data for the paper Adjusting for Unmeasured Spatial Confounding with Distance Adjusted Propensity Score Matching, by Papadogeorgou, Choirat, and Zigler. The current version of the paper is available at: https://arxiv.org/pdf/1610.07583.pdf The code to recreate the replication data set from the data sets on power plant emissions, ozone and temperature information can be found at https://github.com/gpapadog/DAPSm-Analysis. The analysis can be replicated from code in the same Github repository and the DAPSm R package found at https://github.com/gpapadog/DAPSm.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

There are no dataverses within this dataverse. Please log in to see if you are able to add to it.

Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.