Grouped patterns in panel data

Chen, Binzhi (2025). Grouped patterns in panel data. University of Birmingham. Ph.D.

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Abstract

This PhD thesis consists of three chapters related to group structures. It explores both the empirical and theoretical dimensions of group structures in econometrics, aiming to provide a comprehensive understanding of their application and theoretical inference. Chapter 1 provides an empirical analysis on how group structures affect the relationship between economic growth and income inequality across countries. Chapters 2 and 3 respond to these empirical findings by developing new theoretical frameworks that address the limitations identified in the empirical analysis. Chapter 2 proposes a generalised multivariate model for grouped patterns, offering theoretical improvements that enhance the flexibility and interdependence of existing methods. Chapter 3 further focuses on robustness and the application of the Granger causality test in grouped structures. Together, these chapters contribute to a more comprehensive understanding of group structures in econometrics, demonstrating how empirical evidence can inform theoretical advancements and, conversely, how improved theoretical models can enhance empirical applications.

Type of Work: Thesis (Doctorates > Ph.D.)
Award Type: Doctorates > Ph.D.
Supervisor(s):
Supervisor(s)EmailORCID
Barassi, MarcoUNSPECIFIEDUNSPECIFIED
Karavias, IoannisUNSPECIFIEDUNSPECIFIED
Licence: All rights reserved
College/Faculty: Colleges > College of Social Sciences
School or Department: Birmingham Business School, Department of Economics
Funders: Other
Other Funders: Birmingham Business School Scholarship
Subjects: H Social Sciences > HA Statistics
H Social Sciences > HB Economic Theory
URI: http://etheses.bham.ac.uk/id/eprint/16652

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