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

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.

Author(s):  
Sujan Chandra Paul ◽  
Md Arif Hosen ◽  
Jyotirmay Biswas ◽  
Shahadat Hossain

This study investigates the impact of a number of educational institutions and students per teacher on the literacy rate. Data of 489 Upazilasrelating to the dependent (literacy rate) and independent variables (no. of educational institutions and students per teacher of different types of primary and equivalent educational institutions) of 8 Divisions were collected from District Statistics 2011 of Bangladesh Bureau of Statistics. The Ordinary Least Square (OLS) method is used in this study. This research found that a number of government primary schools had a significant positive relationship with the literacy rate in Barishal, Chittagong, Khulna, and Mymensingh Divisions.


Author(s):  
Md Arif Hosen ◽  
Sujan Chandra Paul ◽  
Md Harun Or Rosid

This study investigates the impact of democracy indices on the literacy rate. Panel Data of 134 Countries from 2007-2018 were collected from the website the World Bank and Gapminder. This study uses Ordinary Least Square (OLS), Pooled Ordinary Least Square (POLS), Driscoll-Kraay (DK), Second Stage Least Square (2SLS), Generalized Methods of Moments (GMM) methods. This research has found that political participation index and political culture index has a significant positive relationship with literacy rate in all the method. The functioning of the government index has a significant positive relationship and electoral process and the pluralism index has a significant negative relationship with literacy rate in all the methods except the GMM method. The civil liberties index has a significant negative relationship with literacy rate in POLS and in the other models, there is no significant relationship between the civil liberties index and literacy rate.


2021 ◽  
Vol 10 (4) ◽  
pp. 99-114
Author(s):  
Sujan Chandra Paul ◽  
Mohammad Rakibul Islam ◽  
Sharmin Akter Mitu

This study investigates the impact of some variables such as total revenue, total assets, total liabilities, total deposits, total unclassified loans, total classified loans, standard loans, special mention account loans, sub-standard loans, doubtful loans, and bad and loss loans on profit before tax. Unbalanced Panel Data were collected from the website of 45Commercial Bank of Bangladesh from the year 2010 to 2018. Ordinary Least Square (OLS), Pooled Ordinary Least Square (POLS), Driscoll-Kraay (DK), Second Stage Least square (2SLS), Generalized Methods of Moments (GMM) methods are used in this study. This research found that total revenue had a significant positive relationship with profit before tax in all the models except DK and GMM models. Total unclassified loans had a significant positive relationship and total liabilities had a significant negative relationship with profit before tax in all the models. Special mention account loans had a significant positive relationship with profit before tax in OLS and DK models and total classified loans had a significant positive relationship with profit before tax in GMM model.


2019 ◽  
Vol 5 (1) ◽  
pp. 147-152
Author(s):  
Frances Roi Seston Tampubolon

This research is about estimating the influence of naturalresources and school graduation rates and the number ofworkers on economic growth in Indonesia. The model usedis multiple linear regression with one dependent variable andfour independent variables. The method used is the OLS(Ordinary Least Square) method, where the estimatedparameters of the models are verified by statistical tests. Thevariables used in this study include the length of time forschool graduation, the number of labor (labor), miningproducts, and PMTDB (formation of gross domestic fixedcapital). The results of data processing show that naturalresources (mining products) have a positive contribution toIndonesia's economic growth. From the last analysis that theschool graduation rate also has a positive relationship toeconomic growth.


Author(s):  
Nur Widiastuti

The Impact of monetary Policy on Ouput is an ambiguous. The results of previous empirical studies indicate that the impact can be a positive or negative relationship. The purpose of this study is to investigate the impact of monetary policy on Output more detail. The variables to estimatate monetery poicy are used state and board interest rate andrate. This research is conducted by Ordinary Least Square or Instrumental Variabel, method for 5 countries ASEAN. The state data are estimated for the period of 1980 – 2014. Based on the results, it can be concluded that the impact of monetary policy on Output shown are varied.Keyword: Monetary Policy, Output, Panel Data, Fixed Effects Model


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Javier Ho ◽  
Paul Bernal

AbstractThis study attempts to fit a global demand model for soybean traffic through the Panama Canal using Ordinary Least Square. Most of the soybean cargo through the interoceanic waterway is loaded on the U.S. Gulf and East Coast ports -mainly destined to East Asia, especially China-, and represented about 34% of total Panama Canal grain traffic between fiscal years 2010–19. To estimate the global demand model for soybean traffic, we are considering explanatory variables such as effective toll rates through the Panama Canal, U.S. Gulf- Asia and U.S. Pacific Northwest- Asia freight rates, Baltic Dry Index, bunker costs, soybean export inspections from the U.S. Gulf and Pacific Northwest, U.S. Gulf soybean basis levels, Brazil’s soybean exports and average U.S. dollar index. As part of the research, we are pursuing the estimation of the toll rate elasticity of vessels transporting soybeans via the Panama Canal. Data come mostly from several U.S. Department of Agriculture sources, Brazil’s Secretariat of Foreign Trade (SECEX) and from Panama Canal transit information. Finally, after estimation of the global demand model for soybean traffic, we will discuss the implications for future soybean traffic through the waterway, evaluating alternative routes and sources for this trade.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hongjiang Xu ◽  
Sakthi Mahenthiran

Purpose This study aims to develop a scale to measure the cloud provider’s performance and it investigates the factors that impact that performance from the users’ perspective. Design/methodology/approach This paper proposes a research framework, develops hypotheses and conducts a survey to test the framework. Findings The results from both ordinary least square regression and structural equation modeling analyzes indicate that information technology complexity negatively and significantly affects users’ perception of the cloud computing providers’ performance. Additionally, the trust in the supervisor significantly enhances the otherwise insignificant positive relationship between providers’ cybersecurity capability and users’ perception of their providers’ performance. Originality/value The research makes important contributions to the cloud computing literature, as it measures users’ perception of the cloud computing provider’s performance and links it with cybersecurity, technical complexity and incorporates both the trust in the client firm’s supervisor and the strength of cybersecurity offered by cloud computing provider.


2021 ◽  
Vol 24 (1) ◽  
pp. 9-15
Author(s):  
Jie Novita

The purpose of the research is to examine and analyze the effect of macroeconomic variables GDP and inflation on Islamic banking financing in Indonesian. Islamic bank financing is the dependent variable, whereas GDP, reference interest rates, and inflation are the independent variable. The data used is Islamic banking financing, GDP, reference interest rates, and inflation in Indonesian from 2010-1018. This empirical study uses a quantitative approach and method of OLS (Ordinary Least Square). The results of this research indicate that the GDP variable has positive and statistically significant effect on Islamic banking financing, the variable reference interest rates (BI Rate and BI Rate 7days Repo Rate) have negative and statistically significant effect on Islamic banking financing, the inflation variable has positive and statistically significant effect on Islamic banking financing.


2019 ◽  
Author(s):  
Estro Dariatno Sihaloho ◽  
Irlan Adiyatma Rum

Consumers of conventional cigarettes have begun to switch to using electronic cigarettes. Having different characteristics of these two kinds of cigarettes make the different health and economic effects to consumers. This study uses Ordinary Least Square (OLS) method to analyze the influence of electronic cigarette usage on conventional cigarette usage in Bandung in 2017. This study used 200 respondents of electronic cigarette users. This study uses the amount of conventional cigarette consumption after using electronic cigarette per day (Y) as the dependent variable. For independent variables, this study uses conventional cigarette consumption before using electronic cigarette per day (X1), total liquid of electronic cigarette consumption per month (X2), monthly electronic cigarette expenditure (X3), and respondent's perception whether using electronic cigarette more healthy (X4). Regression results showed that X1 and X4 have significant effect on Y. The increase of 1 stem of conventional ciga-rettes consumption before using electronic cigarette per day (X1) will increase the consumption of conventional cigarettes after using electronic cigarette per day (Y) of 0.1618005 stem. While with the respondent's perception that using electronic cigarette is healthier (X4) will reduce the consumption of conventional cigarettes (Y) as much as 5.169504 stems


2020 ◽  
Vol 9 (1) ◽  
pp. 1-12
Author(s):  
Cici Swarsih ◽  
Junaidi Junaidi ◽  
Rosmeli Rosmeli

This study aims to analyze the characteristics of educated workforce and to determine the effect of variables of age, education, wage level, skills and gender on duration of looking for work by educated worker in Jambi City. The data used in this study are primary data obtained from questionnaires and direct interviews with a total sample of 110 respondents. Sampling in this study uses a multistage sampling method that is sampling in stages. Data analysis methods used are descriptive and quantitative analysis. The analytical tool used is the OLS (Ordinary Least Square) method. The results of this study indicate that the independent variables simultaneously have a significant effect on duration of looking for work. Partially the variables of age, education, wage level have a significant effect on duration of looking for work, while the skills and gender variables have no significant effect on the duration of looking for work.


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