The DOI matches its Crossref record.
Asymptotic Theory for Econometricians.
Abstract
The Linear Model and Instrumental Variables Estimators. Consistency. Laws of Large Numbers. Asymptotic Normality. Central Limit Theory. Estimating Asymptotic Covariance Matrices. Functional Central Limit Theory and Applications. Directions for Further Study. Solution Set. References. Index.
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Citations
Cited by
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
How Much Should We Trust Differences-in-Differences Estimates?
Bertrand, M., Duflo, E., & Mullainathan, S. (2004) · The Quarterly Journal of Economics · doi:10.1162/003355304772839588 · Cited by 10,641
Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data
Driscoll, J. C., & Kraay, A. C. (1998) · Review of Economics and Statistics · doi:10.1162/003465398557825 · Cited by 6,865
A Practitioner’s Guide to Cluster-Robust Inference
Colin Cameron, A., & Miller, D. L. (2015) · Journal of Human Resources · doi:10.3368/jhr.50.2.317 · Cited by 5,037
Bootstrap-Based Improvements for Inference With Clustered Errors
Cameron, A. C., Gelbach, J. B., & Miller, D. L. (2008) · Review of Economics and Statistics · doi:10.1162/rest.90.3.414 · Cited by 4,417
Metadata
- Authors
- Robinson, P. M., & White, H.
- Venue
- Economica
- Publisher
- JSTOR
- Published
- 1988-02
- Volume
- 55
- Issue
- 217
- Pages
- 134
- ISSN
- 0013-0427 (ISSN-L)
- OpenAlex
- W2047670349
- Cited by
- 1,305
- References
- 0
- FWCI
- 37.70
- Type
- journal article
- Language
- en
- Open access
- closed
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- Robinson, P. M., & White, H. (1988). Asymptotic Theory for Econometricians. Economica. https://doi.org/10.2307/2554258
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
