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2024
Abstract: Estimating intergenerational mobility often requires linking data across multiple sources. However, mistakes in record linkage can introduce biases in subsequent estimates. This paper re-examines the history of intergenerational mobility in the...
Abstract: We propose a method for estimation and inference for bounds for heterogeneous causal effect parameters in general sample selection models where the treatment can affect whether an outcome is observed and no exclusion restrictions are available...
Outcome tests are a long-standing and widely used approach to detecting discrimination in lending, hiring, policing, and beyond. For example, if White loan recipients are found to default more often than racial minority recipients, the outcome...
Outcome tests are a long-standing and widely used approach to detecting discrimination in lending, hiring, policing, and beyond. For example, if White loan recipients are found to default more often than racial minority recipients, the outcome...
2023
While there now exists a large literature on policy evaluation and learning, much of prior work assumes that the treatment assignment of one unit does not affect the outcome of another unit. Unfortunately, ignoring interference may lead to...
Abstract: Scholars in the social sciences are increasingly relying on machine learning (ML) techniques to construct data from large corpora of text and images. The ML-generated variables are subsequently utilized in statistical analysis to address...