The University of Southampton
University of Southampton Institutional Repository

Replication data for: Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs

Replication data for: Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs
Replication data for: Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs
Review of Economics and Statistics: Forthcoming
Harvard Dataverse
Liu, Xiaobin
6fb46688-fe0d-40d7-8c62-7d9511e3eff8
Jiang, Liang
039743e1-94f5-497f-a7c8-c67d1bd0ac15
Phillips, Peter C.B.
f67573a4-fc30-484c-ad74-4bbc797d7243
Zhang, Yichong
64569fb9-9709-41c9-aec2-55dd0026edf9
Liu, Xiaobin
6fb46688-fe0d-40d7-8c62-7d9511e3eff8
Jiang, Liang
039743e1-94f5-497f-a7c8-c67d1bd0ac15
Phillips, Peter C.B.
f67573a4-fc30-484c-ad74-4bbc797d7243
Zhang, Yichong
64569fb9-9709-41c9-aec2-55dd0026edf9

(2021) Replication data for: Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs. Harvard Dataverse doi:10.7910/dvn/iqaklc [Dataset]

Record type: Dataset

Abstract

Review of Economics and Statistics: Forthcoming

This record has no associated files available for download.

More information

Published date: 1 January 2021

Identifiers

Local EPrints ID: 476163
URI: http://eprints.soton.ac.uk/id/eprint/476163
PURE UUID: f9bc4aa5-ef08-4cce-acc7-35bfabd6194c
ORCID for Peter C.B. Phillips: ORCID iD orcid.org/0000-0003-2341-0451

Catalogue record

Date deposited: 12 Apr 2023 16:57
Last modified: 06 May 2023 01:45

Export record

Altmetrics

Contributors

Contributor: Xiaobin Liu
Contributor: Liang Jiang
Contributor: Peter C.B. Phillips ORCID iD
Contributor: Yichong Zhang

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×