Mostly Harmless Econometrics: An Empiricist's Companion

By J. Kmenta. 2010

1,870 citations recorded by the source corpus.

Subfields: Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/ee83c9022afb15cc21eab443ac09e742599d5b94

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In Management Science and Operations Research

Citations in the corpus

Does education increase pro-environmental behavior? Evidence from Europe (2015, methodology): “The local linear method is a nonparametric approach 10 See pages 64-68, “Bad Control,” in Angrist and Pischke (2009).”
Gender inequality during the COVID-19 pandemic: Income, expenditure, savings, and job loss (2020, background): “The control variables should be exogenous and not be affected by gender as well as the COVID-pandemic (Angrist and Pischke, 2008).”
Access to Markets and Rural Poverty: Evidence from Household Consumption in China (2013, background): “These are what Angrist and Pischke (2008) call “bad controls” in the context of our application.”
Bias due to participant overlap in two‐sample Mendelian randomization (2016, background): “…case of extremely weak instruments (those for which the expected strength of association with the risk factor corresponds to a P-value above 0.05 Burgess & Thompson, 2011), indicating that the practical consequences of bias with a single IV are unlikely to be substantial (Angrist & Pischke, 2009).”
Accountability and Flexibility in Public Schools: Evidence from Boston's Charters And Pilots (2009, methodology): “yigt = αt + βg + γXi + ρcCigt + ρpPigt + ρeEigt + ρaltALTigt + igt, (10)”
The cost of friendship (2016, background): “Such a test of interaction term effects is also less subject to selection and third-factor concerns since any omitted factor is less likely to correlate with the interaction terms than with the linear term (Angrist and Pischke, 2009).”
Does foreign aid harm political institutions (2015, result): “As recommended elsewhere (Sen et al., 2007; Angrist and Pischke, 2008; McKinnish, 2008), the use of alternative estimators and time periods helps validate whether our results are robust to alternative methodological choices and identifying assumptions.”
State Higher Education Performance Funding: Data, Outcomes, and Policy Implications* (2014, background): “Modeling the state-specific time trends offers additional evidence of the temporal nature of the treatment effects (Angrist and Pischke 2009).”
Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods (2015, methodology): “When there is a single IV, the median bias of the ratio (or 2SLS) method estimator is negligible for all but the weakest of IVs [11].”
Extreme Weather and Civil War: Does Drought Fuel Conflict in Somalia through Livestock Price Shocks? (2014, methodology): “24 We performed the tests by applying a Limited Information Maximum Likelihood estimator which is approximately medianunbiased for overidentified models (Angrist and Pischke 2009).”