Determining the number of groups in latent panel structures with an application to income and democracy

DOI10.3982/QE517zbMath1398.62371MaRDI QIDQ4586375

Xun Lu, Liangjun Su

Publication date: 13 September 2018

Published in: Quantitative Economics (Search for Journal in Brave)

zbMATH Keywords

testlatent structurenumber of groupsdynamic panelclassifier Lassopenalized least square

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Point estimation (62F10)

Related Items

Estimation and identification of latent group structures in panel data ⋮ Identification and estimation in panel models with overspecified number of groups ⋮ Group structure detection for a high‐dimensional panel data model ⋮ Dynamic clustering of multivariate panel data ⋮ POST-SELECTION INFERENCE IN THREE-DIMENSIONAL PANEL DATA ⋮ Identifying latent group structures in spatial dynamic panels ⋮ A PANEL CLUSTERING APPROACH TO ANALYZING BUBBLE BEHAVIOR ⋮ IDENTIFYING LATENT GROUPED PATTERNS IN COINTEGRATED PANELS ⋮ Panel data models with time-varying latent group structures ⋮ Unnamed Item ⋮ Identifying latent group structures in nonlinear panels ⋮ Heterogeneous structural breaks in panel data models ⋮ Nonstationary panel models with latent group structures and cross-section dependence ⋮ Identifying types in contest experiments ⋮ Panel threshold regressions with latent group structures ⋮ The heterogeneous effects of the minimum wage on employment across states