Cem: Coarsened Exact Matching in Stata

By M. Blackwell, Stefano Maria Iacus, Gary King, Giuseppe Porro. 2009

1,569 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/46c8b29aae1dd0db7ffec682d10cc53ee0fbbcac

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Citations in the corpus

Show me the way to go home: an empirical investigation of ride sharing and alcohol related motor vehicle homicide (2015, methodology): “To resolve this we execute a coarsened exact matching (CEM) procedure to limit the ex-ante differences between the treatment and control samples (Blackwell et al. 2009, Iacus et al. 2012).”
Can You Gig It? An Empirical Examination of the Gig Economy and Entrepreneurial Activity (2018, methodology): “Fourth, and finally, because the CEM determines the matching buckets algorithmically, the researcher does not need to estimate them based on her own priors.”
How Anticipated Employee Mobility Affects Acquisition Likelihood: Evidence from a Natural Experiment (2015, methodology): “CEM is amultivariate matching technique that is monotonic imbalance bounding (Iacus, King, and Porro, 2011) and, as such, reduces causal estimation error, model-dependence, bias, and inefficiency (Iacus, King, and Porro, 2009a, b).”
The Real Effects of Real Earnings Management: Evidence from Innovation (2018, methodology): “We use coarsened exact matching as introduced in Blackwell et al. (2009) and Iacus et al. (2011).”
Roots to Grow: Family Firms and Local Embeddedness in Rural and Urban Contexts (2018, methodology): “CEM offers an approach to address missing values through “matching on missingness,” i.e., CEM treats the missing values as an additional category on which to match (Blackwell et al., 2009).”
Impact of remittances on household income, asset and human capital: evidence from Sri Lanka (2012, background): “Iacus, King and Porro (2008) and King et al. (2010) propose a solution, Coarsened Exact Matching (henceforth CEM), which attempts to create ex ante covariate balance.”
Research Note - When Do Consumers Value Positive vs. Negative Reviews? An Empirical Investigation of Confirmation Bias in Online Word of Mouth (2015, methodology): “We then used the coarsened exact matching (CEM) procedure in Blackwell et al. (2009) and Iacus et al.”
Show Me the Way to Go Home: An Empirical Investigation of Ride-Sharing and Alcohol Related Motor Vehicle Fatalities (2017, methodology): “…it is plausible that the untreated cities are not a representative counterfactual for treated cities.23 To resolve this we execute a coarsened exact matching (CEM) procedure to limit the ex ante differences between the treatment and control samples (Blackwell et al. 2009, Iacus et al. 2012).”
Tool learning with large language models: a survey (2024, neutral): “This provides a structured overview of the evaluation protocols and toolkits used to validate the effectiveness of tool learning methods, aiming to make it more convenient for readers to engage with and implement tool learning.”
Creating College Opportunity: School Counselors and Their Influence on Postsecondary Enrollment (2013, background): “Interestingly, the effect sizes yielded from the above model were actually greater than those generated within the local SATT; however, my substantive findings (discussed below) remained the same.”
Does Women’s Land Ownership Promote Their Empowerment? Empirical Evidence from Nepal (2016, methodology): “(b) Constructing a better comparison over the 2001 and 2011 waves In order to draw a parallel comparison between 2001 and 2011, we match the two waves on several covariates using the CEM method (Blackwell et al., 2009).”
Housing and Employment Insecurity among the Working Poor (2016, methodology): “Logistic Regression Predicting Job Loss with Coarsened Exact Matching (CEM) Coef.”