Household Debt and Macroeconomic Variables in Malaysia

2016 ◽  
Author(s):  
Masturah Ma’in ◽  
Nur AmiraIsmarau Tajuddin ◽  
Siti Badariah Saiful Nathan
Keyword(s):  
Household Debt ◽  
Macroeconomic Variables

scholarly journals Determinants of Household Debt in Malaysia from the year 2010 to 2017

2019 ◽  
Vol 5 (2) ◽  
pp. 91
Author(s):  
Zahariah Mohd Zain ◽  
Nurul Ainun Ahmad Atory Ahmad Atory ◽  
Sarah Amirah Hanafi
Keyword(s):  
Positive Relationship ◽  
Negative Relationship ◽  
Housing Price ◽  
Least Square ◽  
Household Debt ◽  
Macroeconomic Variables ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Lending Rate

Household debt has become an issue in the Malaysian economy as it affects the country socially and economically.This study aims to examine the determinants of household debt from the year 2010 until 2017. This study employs the Ordinary Least Square (OLS) method and the macroeconomic variables used in this study are Gross Domestic Product (GDP), base lending rate, unemployment and housing price as independent variables. The results indicate that the trend of household debt in Malaysia has shown a continuous rise from the year 2010 to 2017. GDP, base lending rate and housing price indicate a positive relationship towards household debt while unemployment shows a negative relationship to household debt in Malaysia. All explanatory variables have shown a significant relationship except for GDP. Housing price has been found to be the most significant factor and positively related to household debt. The findings indicate that the higher the price of houses, the higher the household debt will be.

scholarly journals Household Debt and the Rise of Financial Fragility in the Tunisian Context

2015 ◽  
Vol 8 (1) ◽  
pp. 58
Author(s):  
Lobna Abid ◽  
Med Nejib Ouertani ◽  
Sonia Zouari-Ghorbel
Keyword(s):  
Panel Data ◽  
Error Correction ◽  
Data Modeling ◽  
Financial Fragility ◽  
Household Debt ◽  
Financial Vulnerability ◽  
Macroeconomic Shocks ◽  
Vector Error Correction ◽  
Macroeconomic Variables ◽  
Vector Error

This paper aims at studying the financial vulnerability of the Tunisian household and the extent to which indebtedness is associated with increased “financial fragility”, as measured by the household arrears’ sensitivity to macroeconomic shocks. In addition, the paper tries to examine whether financial fragility is actually affected by macroeconomic variables. These issues are investigated by applying panel data modeling and vector-error correction mechanisms for household arrears. Overall, the analysis shows the importance of macroeconomic data in determining the household’s financial fragility.

Shale Shocked: Cash Windfalls and Household Debt Repayment

2020 ◽  
Author(s):  
J. Anthony Cookson ◽  
Erik Gilje ◽  
Rawley Heimer
Keyword(s):  
Household Debt ◽  
Debt Repayment

The causes of poverty in Russia

2020 ◽  
Vol 13 (1) ◽  
pp. 21-36
Author(s):  
I.S. Ivanchenko
Keyword(s):  
Regression Analysis ◽  
Regional Development ◽  
Financial Market ◽  
Russian Federation ◽  
Short Term ◽  
Financial Situation ◽  
Macroeconomic Variables ◽  
Development Plans ◽  
The Russian Federation ◽  
Short Term Forecasting

Subject. This article analyzes the changes in poverty of the population of the Russian Federation. Objectives. The article aims to identify macroeconomic variables that will have the most effective impact on reducing poverty in Russia. Methods. For the study, I used the methods of logical, comparative, and statistical analyses. Results. The article presents a list of macroeconomic variables that, according to Western scholars, can influence the incomes of the poorest stratum of society and the number of unemployed in the country. The regression analysis based on the selected variables reveals those ones that have a statistically significant impact on the financial situation of the Russian poor. Relevance. The results obtained can be used by the financial market mega-regulator to make anti-poverty decisions. In addition, the models built can be useful to the executive authorities at various levels for short-term forecasting of the number of unemployed and their income in drawing up regional development plans for the areas.

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