Sensitivity Analysis for Average Treatment Effects

By Sascha O. Becker, Marco Caliendo. 2007

635 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/159302fa1585f8c67b1491f44b5f048f8b19fdcb

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Citations in the corpus

Is farmer-to-farmer extension effective? The impact of training on technology adoption and rice farming productivity in Tanzania (2018, methodology): “To gauge the extent of this issue, we follow the bounding approach proposed and applied by Rosenbaum (2002), DiPrete and Gangl (2004), and Becker and Caliendo (2007). In short, the approach allows us to determine how strongly an unmeasured variable may influence the selection process to undermine th”
Device Switching in Online Purchasing: Examining the Strategic Contingencies (2018, methodology): “Based on the standardized bias and the Rosenbaum sensitivity test (Becker and Caliendo 2007; Rosenbaum 2002), we can conclude from both observable variables and unobservable factors that the propensity score procedure makes the different sessions comparable, thereby accounting for the customers’…”
The impact of cooperatives on agricultural technology adoption: Empirical evidence from Ethiopia (2013, methodology): “First, we computed the Rosenbaum bounds (Becker and Caliendo, 2007): the Mantel–Haenszel (MH) test statistics are reported in Table 4.”
Causal Inference with Observational Data (2007, positive): “…using psmatch2 and rbounds, a user-written command due to DiPrete and Gangl (2004), who compare Rosenbaum bounds in a matching model to IV estimates. sensatt by Nannicini (2006) and mhbounds by Becker and Caliendo (2007) are additional Stata programs for sensitivity testing in matching models.”
Start-Up Subsidies for the Unemployed: Long-Term Evidence and Effect Heterogeneity (2011, background): “The underlying test statistic then tests up to which extent this unobserved factor Γ will influence the significance of the results (see Becker and Caliendo, 2007, for more details on the implementation of the test procedure and the STATA module mhbounds.ado). We find strong positive effects for bot”
Remittances and Household Expenditure Patterns in Tajikistan: A Propensity Score Matching Analysis (2011, background): “Second, such a sensitivity analysis describes a “worst-case scenario” insofar as it only shows how our treatment effect estimations could be altered by hidden biases, but it does not indicate if these biases exi t (Aakvik, 2001; Becker and Caliendo, 2007).”
Young Adult Outcomes and the Life-Course Penalties of Parental Incarceration (2016, background): “In particular, Rosenbaum bounds for continuous outcomes and Mantel–Haenszel bounds for binary outcomes (Becker and Caliendo 2007; DiPrete and Gangl 2004) can be computed following one-to-one matching without replacement.”
Limitations of Contract Farming as a Pro-poor Strategy: The Case of Maize Outgrower Schemes in Upper West Ghana (2018, methodology): “We test for the influence of such hidden bias by calculating Rosenbaum bounds (Becker and Caliendo 2007; DiPrete and Gangl 2004).”
The Community College Route to the Bachelor’s Degree (2015, methodology): “Washington, DC: National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education.”
Exploring the Effect of Exposure to Short-Term Solitary Confinement Among Violent Prison Inmates (2016, background): “sibility for influence from hidden (unmeasured) bias as potentially confounding test results (see Becker and Caliendo 2007; Greenland et al. 1999; Gau and Fraser 2009; Rosenbaum 2002). In response to this concern, the sensitivity assessment protocol suggested by Rosenbaum (2002) was carried out foll”