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Venezuela Land Reforms: Individual vs Aggregate Data Matters for Testing Distributive Politics
Insights from the Field
Venezuela Land Reforms
individual-level data
macro-level analysis
distributive targeting
Methodology
PSR&M
9 Stata files
5 text files
6 datasets
Dataverse
Theory and Methods in the Study of Distributive Politics was authored by Michael Albertus. It was published by Cambridge in PSR&M in 2019.

This article uses individual-level data from a Venezuelan land reform initiative to show how combining it with macro-level analysis improves testing of theories about distributive politics.

Individual-Level Data & Voter Preferences

The study analyzes voter preferences alongside benefit receipt records in Venezuela's contemporary land reform program.

Two Main Advantages

1. Comparing individual and aggregate data reveals a more complete picture of distributive targeting strategies.

2. Individual-level analysis alone can misattribute benefits due to subnational politicians' influence, obscuring initial target selection.

The article demonstrates both points using the Venezuelan case study and offers practical recommendations for multi-level data collection in political science research.

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Political Science Research & Methods
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