Causal Inferences in Small Area Estimation

11 Jan 2020 Ranjbar Setareh Salvati Nicola Pacini Barbara

When doing impact evaluation and making causal inferences, it is important to acknowledge the heterogeneity of the treatment effects for different domains (geographic, socio-demographic, or socio-economic). If the domain of interest is small with regards to its sample size (or even zero in some cases), then the evaluator has entered the small area estimation (SAE) dilemma... (read more)

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