The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Comparing IV with structural models: What simple IV can and cannot identify
Open accessAbstract
This paper compares the economic questions addressed by instrumental variables estimators with those addressed by structural approaches. We discuss Marschak’s Maxim: estimators should be selected on the basis of their ability to answer well-posed economic problems with minimal assumptions. A key identifying assumption that allows structural methods to be more informative than IV can be tested with data and does not have to be imposed.
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Citations
Cites
Instrumental Variables Regression with Weak Instruments
Staiger, D., & Stock, J. (1994) · doi:10.3386/t0151 · Cited by 5,302 · cited 1×
“See e.g. Stock and Staiger (1997) and the ensuing large literature on weak instruments.”
The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior
Heckman, J. J., Stixrud, J., & Urzua, S. (2006) · Journal of Labor Economics · doi:10.1086/504455 · Cited by 4,427
Self-citationIdentification and estimation of local average treatment effects
Imbens, G. W., & Angrist, J. D. (1994) · Econometrica · doi:10.2307/2951620 · Cited by 4,101
Racial Labor Market Gaps: The Role of Abilities and Schooling Choices
Urzúa, S. (2008) · Journal of Human Resources · doi:10.1353/jhr.2008.0011 · Cited by 130
Self-citation
Cited by
Covariate Balancing Propensity Score
Imai, K., & Ratkovic, M. (2014) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/rssb.12027 · Cited by 1,315
Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)
Imbens, G. W. (2010) · Journal of Economic Literature · doi:10.1257/jel.48.2.399 · Cited by 278
Causal Empiricism in Quantitative Research
Samii, C. (2016) · The Journal of Politics · doi:10.1086/686690 · Cited by 127
BUENO DE MESQUITA, E., & TYSON, S. A. (2020) · American Political Science Review · doi:10.1017/s0003055419000911 · Cited by 31
Agan, A., Doleac, J. L., & Harvey, A. (2021) · doi:10.2139/ssrn.3814854 · Cited by 15
Metadata
- Authors
- Heckman, J. J., & Urzúa, S.
- Venue
- Journal of Econometrics
- Publisher
- Elsevier BV
- Published
- 2010-05
- Volume
- 156
- Issue
- 1
- Pages
- 27-37
- ISSN
- 0304-4076 (ISSN-L)
- OpenAlex
- W2167199524
- Cited by
- 306
- References
- 4
- FWCI
- 15.85
- Type
- journal article
- Language
- en
- Open access
- green
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- Heckman, J. J., & Urzúa, S. (2010). Comparing IV with structural models: What simple IV can and cannot identify. Journal of Econometrics. https://doi.org/10.1016/j.jeconom.2009.09.006
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
