方法对比

	Patronage Network Analysis	Vote Buying Analysis
领域	Political Economy	Political Economy
方法族	Process / pipeline	Regression model
起源年份	1972	2008
提出者	James C. Scott; S. N. Eisenstadt & Luis Roniger	Simeon Nichter; Ezequiel Gonzalez-Ocantos et al.
类型	Network-analytic pipeline for clientelist structures	Measurement-and-targeting regression model
开创性文献	Scott, J. C. (1972). Patron-Client Politics and Political Change in Southeast Asia. American Political Science Review, 66(1), 91-113.	Nichter, S. (2008). Vote Buying or Turnout Buying? Machine Politics and the Secret Ballot. American Political Science Review, 102(1), 19-31.
别名	Patron-Client Network Analysis, Patronage Pyramid Analysis, Brokerage Network Analysis, Clientelist Network Mapping	Electoral Clientelism Measurement, Turnout Buying Analysis, Vote-Buying Targeting Model, List-Experiment Vote Buying
相关	3	3
摘要	Patronage network analysis is a relational pipeline for representing patron-client politics as a directed network and measuring its structure with the tools of social network analysis. Building on James C. Scott's 1972 account of patron-client politics in Southeast Asia and Eisenstadt and Roniger's 1984 comparative study of clientelism and trust, the approach treats the vertical, asymmetric bond between a powerful patron and a dependent client — typically mediated by brokers — as the elementary tie. By coding who is connected to whom, in which direction, and with what resource content, the analyst can compute centrality, brokerage, and structural-hole measures to reveal the pyramidal architecture through which protection and resources flow down and loyalty and support flow up.	Vote buying analysis is the measurement-and-modeling toolkit for studying the distribution of private goods or cash in exchange for electoral support. Two problems define the field. First, who is being paid: Simeon Nichter's 2008 article showed that machines frequently engage in turnout buying — paying their own already-loyal supporters to show up — rather than the classic vote buying of swing voters, a distinction with sharp implications for who gets targeted. Second, how to measure something respondents are reluctant to admit: Gonzalez-Ocantos and colleagues' 2012 study demonstrated that direct survey questions sharply understate vote buying because of social-desirability bias and that list experiments recover far higher, more credible prevalence. Vote buying analysis combines such debiased measurement with regression models of targeting.