Is spatial bootstrapping a panacea for valid inference?
- Bootstrapping methods have so far been rarely used to evaluate spatial data sets. Based on an extensive Monte Carlo study we find that also for spatial, cross-sectional data, the wild bootstrap test proposed by Davidson and Flachaire (2008) based on restricted residuals clearly outperforms asymptotic as well as competing bootstrap tests, like the pairs bootstrap.
| Author: | Torben Klarl |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-710952 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/71095 |
| Series (Serial Number): | Volkswirtschaftliche Diskussionsreihe (322) |
| Publisher: | Volkswirtschaftliches Institut, Universität Augsburg |
| Place of publication: | Augsburg |
| Type: | Working Paper |
| Language: | English |
| Date of Publication (online): | 2020/02/20 |
| Year of first Publication: | 2013 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2020/02/20 |
| Tag: | JEL: C18, C21, R11 |
| Page Number: | 19 |
| Institutes: | Wirtschaftswissenschaftliche Fakultät |
| Wirtschaftswissenschaftliche Fakultät / Institut für Volkswirtschaftslehre | |
| Schriftenreihen / Volkswirtschaftliche Diskussionsreihe | |
| Dewey Decimal Classification: | 3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft |
| Journals: | Volkswirtschaftliche Diskussionsreihe |
| Licence (German): |  Deutsches Urheberrecht |
