Propensity score matching and variations on the balancing test
By Wang-Sheng Lee. Empirical Economics, 2011
261 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/9d40e9d54f9cd2f68aff5c39591b713614967eed
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Citations in the corpus
- Impact of metal silos on households’ maize storage, storage losses and food security: An application of a propensity score matching (2013, background): “The main purpose of propensity score matching is to balance the distribution of observed covariates (Lee, 2008), so there should be no systematic differences in the distribution and overlap of covariates between the two groups after matching.”
- Non-farm work and food security among farm households in Northern Ghana (2011, background): “The propensity scores only serve as a device to balance the observed distribution of covariates across the treated and the untreated groups (Lee, 2008).”
- Does the Use of Mobile Phones by Smallholder Maize Farmers Affect Productivity in Ghana? (2018, background): “The usefulness of the propensity scores is highlighted by Lee (2013), who notes that they are used to balance the distribution of estimated explanatory variables between the treated and the untreated groups.”
- The Effectiveness of Public-Sponsored Training Revisited: The Importance of Data and Methodological Choices (2014, unknown): “3 See, e.g., Heckman et al. ð1998, 1999Þ, Heckman and Smith ð1999Þ, and Dolton and Smith ð2011Þ.”
- The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach (2010, background): “Some of the few household level studies include Morris (2002), Karanja et al.”