Socio demographic determinants of BMI of Pakistani women: an evidence from PDHS (2017-18) using quantile regression analysis

2021 ◽  
Author(s):  
Asifa Kamal ◽  
Aqsa Asghar Ali ◽  
Sameena Irfan
Keyword(s):  
Quantile Regression ◽  
Economic Status ◽  
Household Head ◽  
Secondary Data ◽  
Wealth Index ◽  
Least Square ◽  
Obese Women ◽  
Ordinary Least Square ◽  
Under Nutrition ◽  
Pakistani Women

Abstract Objective: To explore the socio demographic determinants of nutritional status of Pakistani women. Methods: Secondary data from recent Pakistan Demographic and Health Survey (PDHS 2017-18) is taken. Data collection period is from 22 November 2017 to 30 April 2018. Ordinary least square (OLS) and quantile regression (QR) models are used for analysis. Results: QR model is found appropriate for BMI data to capture effect at different level of distribution of BMI. Less than 5% women are under nutrition for some categories of factors. Age of women, women’s education, frequency of watching TV, wealth index, husband’s education and region (KPK, Balochistan) showed a positive effect on women’s BMI in Pakistan across all conditional distribution of BMI. In contrary, age of women at first birth, women’s agriculture or manual working status, gender of household head (female) and region (Sindh) showed negative effect on women’s BMI in Pakistan. Conclusion: It is concluded that overweight/obesity is becoming serious problem as compared to undernutrition in Pakistani women. Percentage of deprived women is little and level of under nutrition is also not alarming.  Privileged women (with respect to education, economic status, urbanization, sedentary life style) have more chances to have higher BMI (overweight or obese). Women of KPK and Balochistan are at higher risk of overweight/ obesity as compared to Punjabi women. Keywords: PDHS 2017-18, Ordinary Least Square (OLS), Quantile Regression (QR) Model, Continuous....

Peranan Sektor Pertanian dalam Perekonomian Kabupaten Manokwari

Agrotek ◽  
2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Kunto Wibowo
Keyword(s):  
Agricultural Sector ◽  
Raw Materials ◽  
Secondary Data ◽  
Least Square ◽  
Food Crops ◽  
Literature Study ◽  
Location Quotient ◽  
Ordinary Least Square ◽  
Plantation Crops ◽  
Vegetables And Fruits

<em>The agricultural sector</em><em> is a strategic sector in Manokwari regency. The agricultural sector provides a major contribution in the regional economy, an economic base of rural people, dominate the life of most residents in this region and provider of food and raw materials for other sectors. The purpose of this study was to determine how big the contribution of different sub-sectors that exist in the agricultural sector, which analyzes sectors influential in changing the economic structure of agriculture in the area and know the potential commodities that can be developed in an effort to enhance the role of the agricultural sector. The research method used through literature study and analysis of secondary data sourced from the relevant authorities. To find out how big the factors that influence changes in economic structures of domination of the agricultural sector into non-agricultural sector estimates used Ordinary Least Square (OLS). For the determination of the potential commodities that can be seeded used method approach Location Quotient (LQ). The results showed the greatest contribution of the different sub-sectors within the agricultural sector contained in the food crops sub-sector. Based on the rate of growth per year, plantation crops sub-sector occupied the highest positions. The sectors that provide real impact on the agricultural sector's contribution to the regional gross domestic product �of the building sector and services sector. Potential commodities that can be developed in different areas in Manokwari regency include food crops and pulses, vegetables and fruits and livestock including cows, goats, pigs and chicken.</em>

scholarly journals Pengaruh Penyesuaian Harga Jual Bahan Bakar Minyak (BBM) Tehadap Konsumsi BBM dan Inflasi

2020 ◽  
Vol 4 (2) ◽  
pp. 165-182
Author(s):  
Aep soleh Soleh
Keyword(s):  
Inflation Rate ◽  
Secondary Data ◽  
Mineral Resources ◽  
Substitution Effect ◽  
Least Square ◽  
Fuel Price ◽  
Ordinary Least Square ◽  
Price Increases ◽  
The Government ◽  
The Impact

This study investigates the impact of fuel price adjusment on changes in fuel consumption and inflation in Indonesia. This study uses secondary data obtained from the Ministry of Energy and Mineral Resources, the Ministry of Finance, the Ministry of Trade, Bank Indonesia, the Central Bureau of Statistics (BPS), and PT Pertamina (Persero) from 2006 to 2016 and analyzed by using Ordinary Least Square (OLS) method. Research showed, if the government increases Premium Gasoline's price by 10%, in average its consumption would decrease around 2,99 %. However, if the Pertamax Gasoline's price increases, the consumption of Premium Gasoline would also increase due to substitution effect. Every 10% increase in Subsidized Diesel's price, in average its consumption would decrease around 4,80 % and vice versa. However, if the Pertamina dex's price increases, the consumption of Subsidized Diesel would also increase due to substitution effect. Moreover, IDR1.000/L increase in Premium Gasoline's Price would contribute 1,10 % to the inflation rate. On the other hand, increase in Subsidized Diesel's price does not contribute to the inflation rate.

scholarly journals The INFLUENCE OF PRODUCTION FACTORS TOWARD ECONOMIC GROWTH IN INDONESIA

2019 ◽  
Vol 4 (1) ◽  
pp. 44-46
Author(s):  
Wilson Bangun
Keyword(s):  
Economic Growth ◽  
Secondary Data ◽  
Least Square ◽  
Production Factor ◽  
Domestic Investment ◽  
Ordinary Least Square ◽  
Production Factors ◽  
The People ◽  
Data Production ◽  
Using Data

Economic growth as a mesurement and reflect of the people prosperity. Employee production factor have a better contribution if  to compare with capital and technology production factors on Indonesian economic growth. However, Indonesian workforce quality is lowest in ASEAN-5. The research methodology is using the Cobb-Douglas production function with the Ordinary Least Square (OLS), the using equation formulation: lnY = ln a + bi  +e. This research using data is secondary data: production factors using data of progressing of FDI and domestic investment, source of  the World Bank, 2004-2016; Employment is using data of progressing of Indonesia workforce,  sourced from the Biro Pusat Statistik Republik Indonesia, 2004-2016. The research results show that influence of the production factors toward Indonesia economic growth is strongly. This researchs aim to knowledge a large the contribution of production factors on Indonesian Economic growth.

scholarly journals Fraud Pentagon Model for Detecting Fraudulent Financial Reporting in Banking Sector

2020 ◽  
Vol 8 (6) ◽  
pp. 2832-2838
Keyword(s):  
Financial Reporting ◽  
Banking Sector ◽  
Influencing Factor ◽  
Secondary Data ◽  
Least Square ◽  
Fraudulent Financial Reporting ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Section Data ◽  
Recent Trends

Many discussions and opinions of experts who produce endangement or tools to detect the possibility of fraud in reporting financial performance. One of the most recent trends is the Pentagon fraud approach. Pentagon is a form that has five sides, there are five categories of causes of fraud in pentagon fraud, namely: pressure, opportunity, rationalization, competence and arrogance. Our research takes samples from banks, because the sector is the most common case of fraud. We made this quantitative secondary data-based research to have written evidence for reference in banking sectors. We use cross section data from 2016 year ends up to 2018. We own 35 samples from three years period, the total of 105 samples. We use ordinary least square using nine independent variables and one dependent variable. After conducting this research, we found that opportunity is the most influencing factor for company in banking sector to do fraud. While the others factor has no significant effect.

Pengaruh pertumbuhan ekonomi, inflasi dan pengangguran terhadap tingkat kemiskinan di Sumatera Selatan

2019 ◽  
Vol 16 (1) ◽  
pp. 1-10
Author(s):  
Novegya Ratih Primandari
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Linear Regression ◽  
Linear Regression Model ◽  
Time Series Data ◽  
Secondary Data ◽  
Poverty Rate ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square

This research aims to analyze effect of economic growth, inflation and Unemployment on the Rate of Poverty in the Province of South Sumatera. This research used secondary data in the form of time series data from 2001-2017. The method used quantitative approach by applying a linear regression model with OLS estimation Ordinary Least Square (OLS) method. The results of this study indicate that partially and simultaneously Economic Growth, Inflation and Unemployment have a significant effect on the Poverty Rate in the Province of South Sumatera.

scholarly journals The Efficiency of Farmers Group Association on Strengthening The Institutions of Community Food Distribution Program Stage in Yogyakarta Special Region 2014

2017 ◽  
Vol 2 (1) ◽  
pp. 035
Author(s):  
Eny Ivan's ◽  
Jangkung Handoyo Mulyo ◽  
Dwidjono Hadi Darwanto
Keyword(s):  
Secondary Data ◽  
Food Distribution ◽  
Least Square ◽  
Data Envelopment ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
The Government ◽  
Agriculture And Food ◽  
Group Association ◽  
Special Region

In protecting and empowering the farmers, farmers group, and farmers group association (Gapoktan) from falling prices of grain and rice at harvest time and food accessibility problems, the government through the Ministry of Agriculture and Food Security Agency implemented the Strengthening the Institutions of Community Food Distribution Program (Strengthening-LDPM). This research was aimed to analyse the level of efficiency and to identify factors influencing the efficiency of Gapoktan in implementing the Strengthening-LDPM by involving 40 Gapoktan post-independence. The data used in this research were primary and secondary data, drawn from stockopname reports in 2014. This research used DEA (Data Envelopment Analysis) analysis, assuming that CRS (Constant Return to Scale) and VRS (Variable Return to Scale) using output-oriented assumptions. In addition, factors affecting the efficiency were analysed using multiple regression OLS (Ordinary Least Square). Based on DEA-CRS approach, as much as 37.5% Gapoktan were efficient and 62.5% Gapoktan were inefficient. Whereas with the approach of the DEA-VRS, 50% Gapoktan were efficient and 50% Gapoktan were inefficient. The average age of Gapoktan board, total volume of grain or rice sales, total volume of food reserve, and total loan interest affect significantly in increasing the efficiency of Gapoktan in running the strengthening-LDPM Program.

scholarly journals Analisis Pengaruh Infrastruktur Listrik, Jalan Dan Kesehatan Terhadap Produk Domestik Regional Bruto Di Kabupaten Sidoarjo

2021 ◽  
Vol 12 (1) ◽  
pp. 54
Author(s):  
Yurike Aldona ◽  
Wiwin Priana Primandhana ◽  
Muhammad Wahed
Keyword(s):  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Domestic Product ◽  
Economic Activities ◽  
Ordinary Least Square ◽  
Health Infrastructure ◽  
Analysis Technique ◽  
Efficiency And Effectiveness

Gross Regional Domestic Product (GDP) is one of the economic indicators according to various economic instruments in which clearly visible macro-economic conditions of a region. Infrastructure is the most primary public infrastructure in supporting a country's economic activities, and the availability of infrastructure greatly determines the level of efficiency and effectiveness of economic activities. This study aims to analyze how much electricity, road, and health infrastructure affects gross regional domestic product in Sidoarjo Regency. This research covers the area of Sidoarjo Regency. This study uses secondary data obtained from the Central Statistics Agency with a period of 15 years from 2005-2019. The analysis technique used is Multiple Linear Regression Analysis with Ordinary Least Square (OLS) model using computer tools SPSS program (Statistic Program For Social Science) Version 13.0 that shows the influence between free variables and bound variables. The end result is that electricity infrastructure variables have a positive and significant influence on gross regional domestic product in Sidoarjo Regency. Variable road infrastructure and health infrastructure have a positive but insignificant influence on gross regional domestic product in Sidoarjo Regency.

scholarly journals Knowledge Level, Sosioeconomy Status of Family Head, and Ownership of Latrines in Gunung Agung Village Argamakmur North Bengkulu

2018 ◽  
Vol 25 (2) ◽  
pp. 76-85
Author(s):  
Suryani Suryani ◽  
Yusran Fauzi ◽  
Fikitri Maya Sari ◽  
Nahari Ratu Cempaka Wilis
Keyword(s):  
Socioeconomic Status ◽  
Economic Status ◽  
Household Head ◽  
Secondary Data ◽  
Sampling Technique ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
Family Head ◽  
The Family ◽  
Level Of Knowledge

Sanitation is intentional behavior in empowering clean life that has the purpose of preventing humans from being in direct contact with dirt and other hazardous waste materials in the hope of maintaining and improving human health. The use of latrines as a place to dispose of human waste is very necessary to avoid and reduce various types of environmental pollution and transmission of diseases, and can support the creation of a clean and healthy environment. This study aims to determine the relationship between the level of knowledge and socioeconomic status of the family head with ownership of family latrines in Gunung Agung Village, Argamakmur City, North Bengkulu. The design of this study uses analytical survey with Cross Sectional approach. The population taken was all family heads in Gunung Agung Village, Argamakmur City, North Bengkulu. Sampling in this study were 85 samples, using proportional random sampling technique, namely 66 samples that had family latrines and 19 samples that did not have family latrines. Data collection in this study uses primary and secondary data with data analysis techniques carried out by univariate and bivariate analysis with Chi-Square test through SPSS program. The results obtained: from 85 household head respondents, it can be seen that there are 66 families (77.6%) who have family latrines, there are 42 families (49.4%) have a sufficient level of knowledge, there are 56 households (65.9%) with the status of Prosperous    Family I. This study shows that there is a significant relationship between the level of knowledge and socioeconomic status of the head of the family with ownership of family latrines in Gunung Agung Village, Argamakmur City, North Bengkulu. Keywords: knowledge of family heads, ownership of family latrines, socio-economic status

scholarly journals Determinan Suku Bunga dan Likuiditas Bank Terhadap Pertumbuhan Kredit di Indonesia

Jurnal Ecogen ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 200
Author(s):  
Yeniwati Yeniwati
Keyword(s):  
Interest Rate ◽  
Interest Rates ◽  
Commercial Banks ◽  
Secondary Data ◽  
Least Square ◽  
Bank Credit ◽  
Credit Growth ◽  
Ordinary Least Square ◽  
Banking Community ◽  
The Interest Rate

This study aims to determine the effect of the interest rate (BI rate) on bank credit growth in Indonesia, liquidity on bank credit growth in Indonesia and determine the effect of interest rates and liquidity on bank credit growth in Indonesia. The method used in this study is Ordinary Least Square (OLS) using secondary data from 2009 Quarter I to 2018 Quarter IV. The results of the analysis showed that there was an influence between interest rates on bank credit growth in Indonesia, there was an influence between liquidity on bank credit growth in Indonesia. Together there is an influence between interest rates and bank liquidity on the growth of bank credit in Indonesia. The policy implication of this research is that Bank Indonesia must maintain the benchmark interest rate set in order to trigger an increase in bank credit growth. In addition, Bank Indonesia must monitor the liquidity of commercial banks in Indonesia so that the trust of the banking community is even greaterKeywords : interest rate, Liquidity, Credit

scholarly journals The Effect Of Credit To The Inflation Rate Through Gross Domestic Product In Indonesia

2018 ◽  
Vol 5 (2) ◽  
pp. 78
Author(s):  
Anas Iswanto Anwar ◽  
Ali Akbar
Keyword(s):  
Gross Domestic Product ◽  
Inflation Rate ◽  
Secondary Data ◽  
Least Square ◽  
Bank Credit ◽  
Domestic Product ◽  
Working Capital ◽  
Ordinary Least Square ◽  
Credit Channels ◽  
Transmission Of Monetary Policy

Credit markets are not always balanced because of unbalanced information and other causes. There are two credit channels that influence the transmission of monetary policy from finance to the real sector, namely bank credit channels that are more concerned with the behavior of banks that are more selective in credit selection because of asymmetric information.This study aims to determine the effect of credit that consists of investment credit, working capital credit and consumption credit to the inflation rate through Gross Domestic Product (GDP) in Indonesia. The overall data used in this study is secondary data from the result of systematic recording in the form of time series from 2007 to 2016 obtained from the Central Bureau of Statistics, Bank Indonesia Report and Indonesian Banking Statistics. Data were analyzed by using multiple regression with Ordinary Least Square (OLS) approach. Based on the results of the research, simultaneous credit has a positive and significant effect on inflation through GDP and partially found that investment credit and working capital credit have positive and significant effect to inflation through GDP, while consumption credit has positive and insignificant effect.

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