Factors Affecting Crime Rate in Malaysia Using Autoregressive Distributed Lag Modeling Approach
Nur Farah Zafirah Zulkiflee
· Nurbaizura Borhan
· Mohd Fikri Hadrawi
·Pertanika Journal of Social Science and Humanities ·2022
An increase in the crime rate may jeopardize a country’s development and economic growth. Thus, understanding the relationship between crime and a few determinants is crucial in sustaining the economic growth in Malaysia. The four determinants used in this research are economic growth, population, education level, and inflation rate. The data covers the period from 1984 to 2019, and Autoregressive Distributed Lag (ARDL) modeling approaches were used in this research. The findings showed that only the population has a significant positive impact on crime rates for long-term and short-term relationships. Meanwhile, economic growth and education level have a significant long-term positive effect on the crime rate. On the other hand, the inflation rate did not significantly impact the crime rate in long-term and short-term relationships. Interestingly, it was found in the findings that the crime rate and population showed a bidirectional causal relationship indicating that the past population values are useful for a better prediction of the current crime rate and vice versa. Thus, the Malaysian government should encourage people to cooperate with the enforcement authorities to deter crime for future environmental safety effectively.
Evaluation of monetary policy: Evidence of the role of money from Malaysia
Abdelkader O.El Alaoui
· Hashim Bin Jusoh
· Sheila Ainon Yussof
· Mohamed Hisham Hanifa
·Quarterly Review of Economics and Finance ·2019
This paper, for the best of our knowledge, is the first attempt to assess the role of money in the Malaysian economy using wavelet techniques. To do so, a macroeconomic model-based policy rules has been formulated. In relation with the recurring financial crises, we analyse the relationship between the quantity of money, interest rate, inflation, exchange rate, index of industrial production and equity indices, in the case of Malaysia. In this analysis, UK economy aggregates are taken as benchmark. Therefore, the relationships between monetary policy variables and macroeconomic variables are evolving with time and have non-homogeneous trends across different time scales. Some strong correlations have been found in regard to Malaysian Monetary Policy using, major monetary aggregates; the quantity of Money, the interest rate and the exchange rate inducing some lead-lag interactions between those key variables. In addition, we analyse the effect of LIBOR on Malaysian interest rate (KLIBOR). We found that the KLIBOR is lagging behind the LIBOR in most of the time. In the end, some lessons will be drawn for the monetary policy in Malaysia, in terms of the high impact of the role of money and the expected implications regarding an effective Islamic monetary policy.