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The impact of real estate, inequality and current account imbalances on excessive credit: A cross country analysis

Author

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  • Halim, Asyraf Abdul
  • Ariff, Muhammad
  • Masih, A. Mansur M.

Abstract

The numerous financial crises in the 20th and 21st century demonstrate the role of excessive credit as the main instigator of financial crises. Could this excessive credit be natural byproducts of lingering economic ailments such as, income inequality, property bubbles and persistent current account imbalances? This study attempts to answer this question by applying the Least Squares Dummy Variable (LSDVC) and dynamic GMM estimations based on the data of ten countries from the year 2004 to 2012. Whilst past literature have investigated the effect of income inequality, dominant real estate sector and current account imbalances on excessive credit separately, this study extends the literature by examining the impact of all three variables on excessive credit aggregately. Our findings tend to indicate that there do exist a positive relationship between all three variables and excessive credit. However, we found that only income inequality and the real estate sector contribute significantly to excessive credit but current account imbalances only marginally do so. We also discovered that the contribution to excessive credit by the banking sector is just about twice the amount of all three variables combined. Our results serve as evidence for policymakers interested in reducing excessive credit by controlling all three variables as well as the banking sector.

Suggested Citation

  • Halim, Asyraf Abdul & Ariff, Muhammad & Masih, A. Mansur M., 2016. "The impact of real estate, inequality and current account imbalances on excessive credit: A cross country analysis," MPRA Paper 72093, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:72093
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    References listed on IDEAS

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    More about this item

    Keywords

    Excessive Credit; Inequality; Real Estate; Current Account Imbalances; Credit-to- GDP Gap.;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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