College Proximity, Schooling and Wages: Classic Instrumental Variables Dataset
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Description
A classic dataset for econometric analysis, used in a 1995 study by David Card. It employs college proximity as an instrumental variable to estimate the causal effect of schooling on wages. The dataset is hosted on Kaggle, but specific details on its size, columns, and origin are not provided.
Use Cases
Estimate the causal effect of education on wages based on the instrumental variable approach described.
Replicate or extend the econometric analysis from the 1995 study referenced in the title.
Teach instrumental variable methods using a well-known example dataset.
Analyze the relationship between geographic access to colleges and educational attainment.
Strengths
Serves as a canonical example for instrumental variable analysis in econometrics.
Associated with a seminal 1995 academic study, providing a clear research context.
Limitations
Description metadata is limited; actual data quality requires manual inspection after download.
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Provenance
Source
Kaggle
Collection Method
Likely compiled for academic research, using college proximity as an instrument.
License is unknown; users should verify terms before use.