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Latent-Variable Structural Econometrics
1988 - 1998
Structural equation modeling within econometrics shifted toward explicit latent-variable measurement and confirmatory testing, integrating measurement error assessment and comprehensive fit evaluation across economics and related fields. Attention to structural-change and dynamic stability grew, with methods addressing nonstationarity, time variation, and test power, including concerns about locally almost unidentified parameters and CUSUM-based monitoring. Foundations, history, and methodological debates in econometrics examined epistemology, identification, and the pedagogy of econometrics as a science, while dynamic modeling and representational challenges highlighted long-run specification and feedback in econometric systems.
• Structural Equation Modeling (SEM) testing and validation shifted toward explicit latent-variable measurement and confirmatory testing, integrating fit assessment, measurement error, and latent structure checks across psychometrics and economics [1], [4], [17], [14]
• Structural-change and dynamic stability research investigates how models detect shifts, leverage time variation, and assess test power under nonstationarity, including locally almost unidentified (LAU) parameters concerns and CUSUM-based approaches [8], [18], [6], [12]
• Foundations, history, and methodological debates in econometrics explore the epistemology and development of econometric methods, from instrumentalism vs realism to formal identification and pedagogy of econometrics as a science [2], [3], [7], [5], [13], [10]
• Dynamic modeling and representational aspects emphasize long-run specification, transformed regression models, and dynamical feedback in econometrics, highlighting specification challenges in dynamic systems [11], [9]
Robust Dynamic Structural Inference
1999 - 2007
High-Dimensional Structural Econometrics
2008 - 2014
Sign-Restricted Dynamic SEM
2015 - 2021