Mostly Harmless Econometrics: An Empiricist's Companion

By R. D. Blander. 2011

1,135 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/d70ec8c3e95059ecf034200ff692836a05c91a47

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Citations in the corpus

Causal Effects of Monetary Shocks: Semiparametric Conditional Independence Tests with a Multinomial Propensity Score (2011, neutral): “As Romer and Romer (2004) noted, the Federal 12 See, for example, section 3.2.3 in Angrist and Pischke (2009) on “bad control.””
Cluster–Robust Variance Estimation for Dyadic Data (2013, positive): “We work within the “agnostic” (Angrist and Imbens, 2002; Lin, 2013) or “assumption lean” (Buja et al., 2014) regression framework developed by Angrist and Pischke (2009), Goldberger (1991), and White (1980 b , 1982).”
The Causal Effect of Credit Guarantees for SMEs: Evidence from Italy (2013, positive): “Under conventional LATE assumptions, 2SLS would produce a weighted average of covariate-specific LATEs, which are less intuitive to treat than traditional LATE in univariate 2SLS, but are also (more) likely to approximate the real causal relationship of interest (Angrist and Pischke, 2008).”
Marketing Complex Financial Products in Emerging Markets: Evidence from Rainfall Insurance in India (2011, positive): “We use a linear probability model (Angrist and Pischke 2008).”
Diversity Thresholds: How Social Norms, Visibility, and Scrutiny Relate to Group Composition (2019, neutral): “…shown in Table 4, 8 We rely on a linear model because it yields more interpretable coefficients than a logit specification, and this method also allows us to correct for heteroskedasticity in the standard errors (Angrist & Pischke, 2008; see Brands & Fernandez-Mateo, 2017 for a similar procedure).”
Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data (2013, methodology): “Data for three genetic variants were simulated using the following model: ψ1i , ψ2i ∼ N3 ⎛ ⎝ ⎛ ⎝ 00 0 ⎞ ⎠ , ⎛ ⎝ 1 θ θθ 1 θ θ θ 1 ⎞ ⎠ ⎞ ⎠ independently G ik = 1ψ1ik >0 + 1ψ2ik >0, for k = 1, 2, 3 (5) where 1. is an indicator function.”
From protection to production: productive impacts of the Malawi Social Cash Transfer scheme (2012, background): “Angrist and Pischke (2009) explain that a standard regression model can correctly estimate treatment effects across experimental groups, even for limited dependent variables.”
Corporate donations and shareholder value (2017, neutral): “In order to identify a trend, firms with missing observations in any of the years 2008, 2009, and 2010 are excluded, since at least three consecutive periods (and preferably more) are required according to Angrist & Pischke (2009).”