ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KETIMPANGAN DISTRIBUSI PENDAPATAN DI PULAU JAWA TAHUN 2014-2020

2021 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Resta Dwi Andina ◽  
Jajang Jajang ◽  
Supriyanto Supriyanto
Keyword(s):  
Economic Development ◽  
Fixed Effects ◽  
Poor People ◽  
Fixed Effects Model ◽  
Unequal Distribution ◽  
Panel Data Regression ◽  
Data Regression ◽  
National Economic ◽  
Per Capita ◽  
Distribution Of Income

Unequal distribution of income is one indicator of community welfare. Improving and equalizing the standard of living people in various regions is one of the efforts to realize national economic development. The existence of an unequal distribution of income also has an impact on economic development. This study discusses panel data regression analysis to determine the factors that affect the unequal distribution of income in Java from 2014 to 2020 with the help of Eviews 10 software. The factors that are thought to affect unequal distribution of income in this study are the Human Development Index (HDI), Open Unemployment Rate (OPR), Regional Gross Domestic Product (RGDP) per capita, and total of poor people. The fixed effects model (FEM) was chosen to be the best model. The results showed that the HDI and RGDP per capita variables had negative and significant effect on unequal distribution of income in Java from 2014 to 2020.

scholarly journals Islamic Bank Financing and Its Effects on Economic Growth: A Cross Province Analysis

2019 ◽  
Vol 8 (2) ◽  
Author(s):  
Muhammad Anif Afandi ◽  
Muhammad Amin
Keyword(s):  
Economic Growth ◽  
Fixed Effects ◽  
Islamic Banking ◽  
Fixed Effects Model ◽  
Islamic Bank ◽  
Bank Financing ◽  
Panel Data Regression ◽  
Data Regression ◽  
Almost All

Islamic banking industry shows a reasonably good development, one of which is marked by an increase in service coverage in almost all provinces in Indonesia. However, the question is how far Islamic banking capable of contributing to the improvement of Indonesia's economic growth? The purpose of this research is to examine the role of Islamic banking in promoting inclusive economic growth with a sample of 33 provinces in Indonesia. The method used in this research is panel data regression using the fixed effects model. The results show that Islamic bank financing does not have an impact on Indonesia's economic growth. In other words, the results of the research provide information that the existence of Islamic banking in Indonesia has not yet give a significant impact on the welfare of Indonesian society

scholarly journals Analysis of Factors Affecting Poverty in West Nusa Tenggara Province, Indonesia

2018 ◽  
Vol 73 ◽  
pp. 09005
Author(s):  
Supriaman ◽  
Firmansyah ◽  
Yusuf Agung Gunanto Edy
Keyword(s):  
Poverty Alleviation ◽  
National Level ◽  
Work Force ◽  
Poor People ◽  
Poverty Level ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita ◽  
Underdeveloped Region

Poverty is a fundamental and multidimensional problem in economic development, especially in developing countries such as Indonesia and underdeveloped region such as Nusa Tenggara Barat province. The percentage of poor people in Nusa Tenggara Barat is relatively higher compared to the percentage of poor people in national level. This study aims to analyze the factors which influence the poverty level in Nusa Tenggara Barat. By employing a panel data regression of 10 Regencies/Cities along 2010-2015, the study finds that the work force skill, investment and income per capita have significant effect to poverty level. The coefficient of work force skill has the highest impact to the level of poverty, which means that that variable is a major factor in reducing poverty in 10 Regencies/Cities of West Nusa Tenggara Province. Based on the results, the study recommends the policy that promote poverty alleviation need to be strengthened by communities and governments.

scholarly journals Estimation of Indonesia Wooden Furniture Export Demand Function

2021 ◽  
Vol 9 (3) ◽  
pp. 357-367
Author(s):  
Hanna Sri Meiliani Uli Simangunsong ◽  
Bintang Charles Hamonangan Simangunsong ◽  
Elisa Ganda Togu Manurung
Keyword(s):  
Panel Data ◽  
Fixed Effects ◽  
Demand Function ◽  
Relative Price ◽  
Export Demand ◽  
Fixed Effects Model ◽  
Price And Income Elasticities ◽  
Panel Data Regression ◽  
Data Regression ◽  
Wooden Furniture

The export value of Indonesia’s wooden furniture was sharply decreased by about 31.9% over the period in 2007-2018. On the other hand, global wooden furniture export was increased by 5.8% during the same period. Understanding the behavior of the demand side of Indonesia’s wooden furniture exports that is reflected by its relative price and income elasticities is needed for the policy development of Indonesia’s wooden furniture industry in the future. The objective of this study was to estimate the export demand function of Indonesia wooden furniture using a panel data regression model. Three types of panel data models, such as pooled ordinary least squares model, fixed-effects model, and random effects model, were investigated. The results showed that the export demand function of Indonesia wooden furniture could be well estimated using the fixed effects model. Relative price elasticity and income elasticity were -0.45 and 0.8, respectively. The adjusted R2 value obtained was 0.99. Keywords: export demand function, panel data regression, wooden furniture

scholarly journals The Impact Of Financial Distress, Audit Committee, And Firm Size On The Integrity Of Financial Statements

2021 ◽  
Vol 8 (2) ◽  
pp. 223-233
Author(s):  
Kusuma Indawati Halim
Keyword(s):  
Panel Data ◽  
Firm Size ◽  
Financial Distress ◽  
Fixed Effects ◽  
Audit Committee ◽  
Financial Statements ◽  
Fixed Effects Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

This study aims to examine the impact of Financial Distress, Audit Committee, and Firm Size on The Integrity of Financial Statements. The integrity of financial statements can reflect the company's financial performance. The research sample obtained were based on purposive sampling technique, is including 32 consumer goods industry sectors firms listed in Indonesian Stock Exchange over the period of 2013-2017. Sources of research data are annual reports. Data analysis used descriptive statistics, classic assumption tests, estimation models, and panel data regression analysis. The panel data regressions analysis was the methodology employed for verifying the factors that may influence the integrity of financial statements. Based on the results of the Chow test and the Hausman test, the appropriate panel data regression model to be used for this study is the fixed effects model. This study provides empirical evidence that financial distress is negatively associated with the the integrity of financial statements, while audit committee and company size have positive effect on the the integrity of financial statements. Keywords: Financial Distress, Audit Committee, Firm Size, Integrity of Financial Statements.

Using information from singletons in fixed-effects estimation: xtfesing

2020 ◽  
Vol 20 (4) ◽  
pp. 965-975
Author(s):  
Laura Magazzini ◽  
Randolph Luca Bruno ◽  
Marco Stampini
Keyword(s):  
Panel Data ◽  
Method Of Moments ◽  
Fixed Effects ◽  
Generalized Method Of Moments ◽  
Panel Data Regression ◽  
Data Regression ◽  
Method Of Moments Estimator ◽  
Fixed Effects Estimation

In this article, we describe the xtfesing command. The command implements a generalized method of moments estimator that allows exploiting singleton information in fixed-effects panel-data regression as in Bruno, Magazzini, and Stampini (2020, Economics Letters 186: Article 108519).

scholarly journals Does the Credit Cycle Have an Impact on Happiness?

2019 ◽  
Vol 17 (1) ◽  
pp. 183 ◽  
Author(s):  
Tinghui Li ◽  
Junhao Zhong ◽  
Mark Xu
Keyword(s):  
Fixed Effects ◽  
Well Being ◽  
Gdp Per Capita ◽  
Subjective Well Being ◽  
Fixed Effects Model ◽  
Credit Expansion ◽  
Transmission Channels ◽  
Credit Cycle ◽  
Per Capita ◽  
The Relationship

The 2008 international financial crisis triggered a heated discussion of the relationship between public health and the economic environment. We test the relationship between the credit cycle and happiness using the fixed effects model and explore the transmission channels between them by adding the moderating effect. The results show the following empirical regularities. First, the credit cycle has a negative correlation with happiness. This means that credit growth will reduce the overall happiness score in a country/region. Second, the transmission channels between the credit cycle and happiness are different during credit expansion and recession. Life expectancy and generosity can moderate the relationship between the credit cycle and happiness only during credit expansion. GDP per capita can moderate this relationship only during credit recession. Social support, freedom, and positive affect can moderate this relationship throughout the credit cycle. Third, the total impact of the credit cycle on happiness will become positive by the changes in the moderating effects. In general, we can improve subjective well-being if one of the following five conditions holds: (1) with the adequate support from the family and society, (2) with enough freedom, (3) with social generosity, (4) with a positive and optimistic outlook, and (5) with a high level of GDP per capita.

scholarly journals The Welfare Reform Bill and its Effects in the South

1972 ◽  
Vol 4 (1) ◽  
pp. 221-227 ◽  
Author(s):  
Gerald B. White ◽  
Burl F. Long
Keyword(s):  
Public Opinion ◽  
Welfare Reform ◽  
Personal Income ◽  
Skewed Distribution ◽  
Poverty Level ◽  
Unequal Distribution ◽  
Major Task ◽  
Redistribution Policy ◽  
Per Capita ◽  
Distribution Of Income

“The majority of Americans now living in comfortable circumstances should become better off, not worse off, as a result of such a (redistribution) policy. To get this dynamic thought understood and widely accepted is the major task for all who would enlighten public opinion in America”.The number of Americans living in poverty increased by an estimated 1.2 million during 1969 and 1970, reversing the downward trend in numbers of poor registered through the 1960's. It seems a paradox that 12 percent of our citizens live in poverty in a trillion dollar economy. The grossly unequal distribution of income is illustrated by the fact that average annual after-tax personal income was $3,098 per person in 1970. Yet, 25 million lived below the 1970 poverty level, defined as $3,944 for a family of four. Roughly speaking, those living in poverty existed on incomes of less than one-third of the national per capita level. This paper is not concerned with the highly skewed distribution of personal income, but is directed to the effects on those living below or near the officially defined poverty level.

scholarly journals The evaluation of large cycling infrastructure investments in Glasgow using crowdsourced cycle data

2019 ◽  
Vol 47 (6) ◽  
pp. 2859-2872 ◽  
Author(s):  
Jinhyun Hong ◽  
David Philip McArthur ◽  
Mark Livingston
Keyword(s):  
Local Governments ◽  
Fixed Effects ◽  
Capital Investment ◽  
City Council ◽  
Panel Data Regression ◽  
Data Regression ◽  
Data Limitations ◽  
Monthly Total ◽  
Infrastructure Investments ◽  
Commonwealth Games

Abstract The benefits of cycling have been well established for several decades. It can improve public health and make cities more active and environmentally friendly. Due to the significant net benefits, many local governments in Scotland have promoted cycling. Glasgow City Council constructed four significant pieces of cycling infrastructure between 2013 and 2015, partly in preparation for the 2014 Commonwealth Games and partly to encourage cycling more generally. This required substantial capital investment. However, the effectiveness of these big new infrastructure investments has not been well examined, mostly due to data limitations. In this study, we utilised data from the activity tracking app Strava for the years 2013–2016 and fixed effects panel data regression models to examine whether the new cycling infrastructure has increased cycling volumes on these routes. Our results show that three of the infrastructure projects have a positive effect on the monthly total volume of cycling trips made by users of the app, with flows up by around 12% to 18%. Although this result is promising, it needs to be interpreted with care due to the characteristics of the data.

scholarly journals Media and Economic Growth: Country Groups Difference via Panel Data

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Viktoriia Ahapova
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Press Freedom ◽  
Foreign Direct Investments ◽  
Fixed Effects Model ◽  
Data Set ◽  
The Press ◽  
Per Capita

The present article investigates the link between economic growth, namely GDP per capita, and the media activity represented with the indicator of the press freedom alongside other factors such as infrastructure, institutional conditions, and foreign direct investments. A panel of 179 countries was used for the period from 2000 to 2015. In particular, we run two panel data analysis models, fixed effects and random effects models, and examined their output with Hausman’s specification test, which pointed the fixed effects model as more efficient for the presented data set. However due to the presence of serial correlation, heteroskedastic, and cross-panel dependence, a Prais-Winsten regression with panel corrected standard errors (PCSE) was implemented. The comparative analysis of models of four country groups, divided by GNI per capita, was conducted. Both statistically significant correlation coefficients and models’ output provided evidence of an association between economic growth and the press activity.

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