Global ETD Search
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Showing 1 to 4 of 4 for “"Cluster Robust"”.
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On Cluster Robust Models
<p>Cluster robust models are a kind of statistical models that attempt to estimate parameters considering potential heterogeneity in treatment effects. Absent heterogeneity in treatment effects, the partial and average treatment effect are the same. When heterogeneity in treatment effects occurs, …
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Incentive Structures, Labour Performance, and Fruit Quality: Panel Evidence from a South African Deciduous Fruit Operation (2017–2019)
… quality using farm-fixed effects regression with cluster-robust and wild-bootstrap inference. Results indicate that seasonal group-based incentives are consistently associated with lower (better-quality) fruit-damage scores than daily individual incentives, even after controlling for climatic and …
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Econometric Analysis of Labour Market Interventions
… on inference with data sets containing within-cluster correlation. The essay highlights a problem with current practices when the number of clusters is 11 or fewer. Current practices can result in p-values that are not point identified but are instead p-value intervals. The chapter provides …
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Essays on Public Economics and Spatial Econometrics
… outcomes as well.The third study examines how cluster size affects the testing performance greatly. The standard asymptotic theory requires the identical size of the clusters. Carter, Schnepel, and Steigerwald (2017)[1] relaxed this assumption and analyzed the effects of the cluster …