Labor Market and Household Debt in Asia Pacific Countries: Dynamic Heterogeneous Panel Data Analysis

被引:10
|
作者
Kusairi, Suhal [1 ]
Muhamad, Suriyani [2 ]
Musdholifah, M. [3 ]
Chang, Shu-Chen [4 ]
机构
[1] Univ Malaysia Terengganu, Financial Econ, Sch Social & Econ Dev, Kuala Nerus, Terengganu, Malaysia
[2] Univ Malaysia Terengganu, Labour Econ, Sch Social & Econ Dev, Kuala Nerus, Terengganu, Malaysia
[3] State Univ Surabaya, Dept Management, Fac Econ, Surabaya, Indonesia
[4] Natl Formosa Univ, Dept Business Adm, Huwei Township, Yunlin, Taiwan
关键词
Household debt; labor market; household consumption; MODELS; SPECIFICATION; TESTS;
D O I
10.1142/S179399331950011X
中图分类号
F [经济];
学科分类号
02 ;
摘要
An overwhelming increase in household debt in the last decade has stirred researchers to explore the determinants of this phenomena, especially the role of the labor market. This paper comes to identify these determinants using the macro panel data from Asia Pacific countries for 1994-2016 and dynamic heterogeneous panel data analysis. The empirical results found that household consumption, housing price index, and labor force have a long-run positive relationship with household debt. In contrast, the unemployment rate and dependency ratio have a long-run negative relationship with household debt. This implies that when consumption, housing price, and labor force increase, then the household debt will increase, and when the unemployment rate and dependency ratio increase, the household debt will decrease. Also, in the short-run, public debt does affect private consumption, and it is not different among countries. The labor market, as represented by the unemployment rate, dependency ratio, and labor force, has a strong effect on the household debt in the long-run. Based on these findings, the government should pay more attention to the household debt related to property and commodity markets because they expose the short-run volatility and create problems for the long-term.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Public debt and economic growth: panel data evidence for Asian countries
    Dimitrios Asteriou
    Keith Pilbeam
    Cecilia Eny Pratiwi
    Journal of Economics and Finance, 2021, 45 : 270 - 287
  • [42] Nonlinear Effect of Household Debt on Consumption: Evidence from Household-level Panel Data in Korea
    Choi, Youngjoo
    Son, Jong Chil
    ECONOMICS BULLETIN, 2016, 36 (02): : 1083 - +
  • [43] Public debt and economic growth: panel data evidence for Asian countries
    Asteriou, Dimitrios
    Pilbeam, Keith
    Pratiwi, Cecilia Eny
    JOURNAL OF ECONOMICS AND FINANCE, 2021, 45 (02) : 270 - 287
  • [44] Monetary policy impact on the labor market equilibrium: Countries of the Pacific Alliance
    David Cardona-Arenas, Carlos
    Paola Sierra-Suarez, Lya
    REVISTA FINANZAS Y POLITICA ECONOMICA, 2020, 12 (02): : 491 - 521
  • [45] Open trade and skilled and unskilled labor productivity in developing countries: A panel data analysis
    Abizadeh, Sohrab
    Tosun, Mehmet Serkan
    JOURNAL OF INTERNATIONAL TRADE & ECONOMIC DEVELOPMENT, 2007, 16 (03): : 383 - 399
  • [46] Determinants of Environmental Quality in Selected Asia Pacific Countries Based on Panel Estimation
    Razak, Mohamad Idham Md
    Ridzuan, Abdul Rahim
    Masdek, Nik Rozila Nik Mohd
    Rasid, Mohd Faizol Rizal Mohd
    Ibrahim, Zakimi
    Talib, Adi Hakim
    ADVANCED SCIENCE LETTERS, 2017, 23 (09) : 9215 - 9219
  • [47] Household survey data show labor market improvements in 2006
    Kline, Sara
    MONTHLY LABOR REVIEW, 2007, 130 (03) : 3 - 18
  • [48] Determinants of Terrorism in South Asia: Insights From a Dynamic Panel Data Analysis
    Das, Ramesh Chandra
    Mukherjee, Sovik
    INTERNATIONAL JOURNAL OF CYBER WARFARE AND TERRORISM, 2018, 8 (04) : 16 - 34
  • [49] Human Capital and Per Capita Income Linkage in South Asia: A Heterogeneous Dynamic Panel Analysis
    Md. Saiful Islam
    Journal of the Knowledge Economy, 2020, 11 : 1614 - 1629
  • [50] Human Capital and Per Capita Income Linkage in South Asia: A Heterogeneous Dynamic Panel Analysis
    Islam, Saiful
    JOURNAL OF THE KNOWLEDGE ECONOMY, 2020, 11 (04) : 1614 - 1629