Debt crisis, credit cycles and economic growth in Indonesia

Riznaldi Akbar

Research output: ThesisDoctoral Thesis

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Abstract

This thesis is structured as a series of four papers. The first study adopts a Firth's penalized logistic regression model and the second study adopts an Artificial Neural Network for external debt crisis prediction in Indonesia.The results suggest that GOP growth, debt-to-GOP, exchange rate, foreign reserve, and export are major determinants for the debt crisis. The third study examines Indonesia's credit cycles and shows that Indonesia experienced more credit booms than busts. The fourth study investigates the relationship between local government debt and regional growth using an augmented growth model and suggests an inverted U-shaped relationship.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
Supervisors/Advisors
  • Wu, Yanrui, Supervisor
  • Li, Bei, Supervisor
Award date18 Feb 2018
DOIs
Publication statusUnpublished - 2018

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