Aiwei Huang, Madhurima Chandra, Laura Malkhasyan
arXiv 26 Apr 2021 · Econometrics · 1 citations (OpenAlex)
arXiv:2104.12370 · PDF · DOI · OpenAlex · Extracted main text
Instrumental variables estimation has gained considerable traction in recent decades as a tool for causal inference, particularly amongst empirical researchers. This paper makes three contributions. First, we provide a detailed theoretical discussion on the properties of the standard two-stage least squares estimator in the presence of weak instruments and introduce and derive two alternative estimators. Second, we conduct Monte-Carlo simulations to compare the finite-sample behavior of the different estimators, particularly in the weak-instruments case. Third, we apply the estimators to a real-world context; we employ the different estimators to calculate returns to schooling.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Joshua David Angrist, Guido W Imbens, and Alan B Krueger (1999) Jackknife instrumental variables estimation | 1.000 | 8 | 7 | 100% |
| 2 | James H Stock, Jonathan H Wright, and Motohiro Yogo (2002) A survey of weak instruments and weak identification in generalized method of moments | 1.000 | 5 | 4 | 100% |
| 3 | John Bound, David A Jaeger, and Regina M Baker (1995) Problems with instrumental variables estimation when the correlation between the instruments and the endogenous explanatory vari… | 1.000 | 5 | 3 | 100% |
| 4 | Douglas Staiger and James Stock (1997) Stock (1997). instrumental variables with weak instruments | 0.928 | 4 | 4 | 100% |
| 5 | Joshua D Angrist and Alan B Krueger (1991) Does compulsory school attendance affect schooling and earnings? | 0.874 | 6 | 2 | 100% |
| 6 | Theodore W Anderson, Herman Rubin, et al (1949) Estimation of the parameters of a single equation in a complete system of stochastic equations | 0.843 | 3 | 3 | 100% |
| 7 | James H Stock and Motohiro Yogo (2002) Testing for weak instruments in linear iv regression | 0.737 | 3 | 3 | 67% |
| 8 | Sören Blomquist and Matz Dahlberg (1999) Small sample properties of liml and jackknife iv estimators: experiments with weak instruments | 0.644 | 2 | 2 | 100% |
| 9 | Russell Davidson and James G MacKinnon (2006) The case against jive | 0.644 | 2 | 2 | 100% |
| 10 | Anirudh L Nagar (1959) The bias and moment matrix of the general k-class estimators of the parameters in simultaneous equations | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 24 scored citations.