Pengaruh Rasio Keuangan Terhadap Financial Distress Pada Perusahaan Sektor Industri Dasar Dan Kimia Yang Terdaftar Di Bursa Efek Indonesia

Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh Current Ratio, Cash Ratio, Debt To Equity Ratio dan Sales Growth terhadap Financial Distress pada Perusahaan Sektor Industri Dasar dan Kimia yang Terdaftar di Bursa Efek Indonesia. Populasi dalam penelitian ini adalah perusahaan sektor industri dasar dan kimia yang terdaftar di Bursa Efek Indonesia. Berdasarkan metode purposive sampling, sampel yang diperoleh yaitu sebanyak 10 perusahaan. Penelitian ini menggunakan data kuantitatif dan bersumber dari jenis data sekunder yaitu data panel yang merupakan data gabungan dari data runtut waktu (time series data) dan data silang (cross section data). Hasil penelitian ini menunjukkan bahwa Current Ratio, Cash Ratio, Debt to Equity Ratio dan Sales Growth berpengaruh negatif tetapi tidak signifikan terhadap Financial Distress. Hal ini berarti bahwa Current Ratio, Cash Ratio, Debt to Equity Ratio dan Sales Growth tidak dapat menjelaskan Financial Distress. Kata Kunci : Current Ratio, Cash Ratio, Debt To Equity Ratio, Sales Growth, Financial Distress

Download Full-text

Consumer Behavior in the Nineteenth Century and Ontario Workers, 1885–1889

The Journal of Economic History ◽

10.1017/s0022050700046271 ◽

1986 ◽

Vol 46 (2) ◽

pp. 477-488 ◽

Cited By ~ 2

Author(s):

Trevor J. O. Dick

Keyword(s):

Time Series ◽

Consumer Behavior ◽

Cross Section ◽

Time Series Data ◽

National Income ◽

Real Income ◽

Series Data ◽

Cross Section Data ◽

Expenditure Patterns ◽

Section Data

Cross-section data on expenditure patterns and time-series data on nominal national income and the characteristics of the consuming population are combined to yield aggregate expenditure and household budget share estimates for Canadians from 1870 to 1914. Recently developed econometric techniques are used to produce the new time series. Unlike older estimates that give relatively stable budget shares, the new series break at 1900. This finding has significant implications for the debate over Canadian real income changes in the period, a debate prolonged by problems of converting nominal into real income and of estimating real consumption directly.

Download Full-text

Determinan Pengangguran Terdidik Lulusan Universitas di Pulau Jawa

Jurnal Ekonomi Pembangunan ◽

10.23960/jep.v10i3.280 ◽

2021 ◽

Vol 10 (3) ◽

pp. 178-187

Author(s):

Leni Anjarwati ◽

Whinarko Juliprijanto

Keyword(s):

Time Series ◽

Data Analysis ◽

Cross Section ◽

Quantitative Methods ◽

Negative Impact ◽

Positive Impact ◽

Panel Data Analysis ◽

Series Data ◽

Cross Section Data ◽

Section Data

This study aims to determine the factors that influence educated unemployment in Java. The data used in this study is secondary data using quantitative methods. Data analysis uses panel data analysis which is a combination of time series and cross-section data. The time-series data uses data for the 2015-2019 period and cross-section data from 6 provinces on the island of Java. The results showed that simultaneously all variables had a significant effect on the level of educated unemployment. While partially shows that the variable level of education and PMDN have a significant positive impact on educated unemployment, and the UMR variable has a significant negative impact on educated unemployment.

Download Full-text

Pengaruh Financial Sustainability Terhadap Jangkauan BPR Syariah Di Propinsi Sumatera Barat

EKONOMIKA SYARIAH Journal of Economic Studies ◽

10.30983/es.v3i2.2576 ◽

2019 ◽

Vol 3 (2) ◽

pp. 32

Author(s):

Hidayatul Arief ◽

Iiz Izmuddin ◽

Hesi Eka Puteri

Keyword(s):

Time Series ◽

Cross Section ◽

Time Series Data ◽

Sampling Technique ◽

Series Data ◽

Financial Sustainability ◽

Significance Level ◽

Purposive Sampling ◽

Section Data ◽

West Sumatra

This study aims to analyze the effect of Financial Sustainability as proxied by CAR, FDR, ROA, ROE, NOM and BOPO on the outreach of BPR Syariah that are proxied by the number of financing customers in West Sumatra Province. The study population was all BPR Syariah in the Province of West Sumatra, the research sample was taken using purposive sampling technique to obtain a sample of 6 companies. The data analysis technique used is the panel data regression method which is a combination of cross section data and time series data using STATA 13 software. While testing the hypothesis using the GLS model with a significance level of 5%. The results of the analysis showed that partially the FDR and ROA variables had a significant effect on increasing outreach while the other variables had no significant effect on the outreach of BPR Syariah in West Sumatra Province. Financial Sustainability has a significant simultaneous effect on the outreach of Sharia Rural Banks in West Sumatra Province. Penelitian ini bertujuan untuk menganalisis pengaruh Financial Sustainability yang diproksikan oleh CAR, FDR, ROA, ROE, NOM dan BOPO terhadap jangkauan BPR Syariah yang diproksikan dengan jumlah nasabah pembiayaan di Propinsi Sumatera Barat. Populasi penelitian adalah seluruh BPR Syariah yang ada di Propinsi Sumatera Barat, sampel penelitian diambil menggunakan teknik purposive sampling sehingga diperoleh sampel sebanyak 6 perusahaan. Teknik analisis data yang digunakan adalah metode regresi data panel yang merupakan gabungan dari data cross section dan data time series dengan menggunakan perangkat lunak STATA 13. Sedangkan pengujian hipotesis menggunakan model GLS dengan tingkat signifikansi 5%. Hasil analisis menunjukkan secara parsial variable FDR dan ROA memilik ipengaruh signifikan terhadap peningkatan jangkauan sedangkan variable lainnya berpengaruh tidak signifikan terhadap jangkauan BPR Syariah di Propinsi Sumatera Barat. Financial Sustainability memiliki pengaruh yang signifikan secara simultan terhadap jangkauan BPR Syariah di Propinsi Sumatera Barat

Download Full-text

Estimation Model And Selection Method Of Panel Data Regression : An Overview Of Common Effect, Fixed Effect, And Random Effect Model

10.31227/osf.io/9qe2b ◽

2018 ◽

Author(s):

rizka zulfikar

Keyword(s):

Time Series ◽

Panel Data ◽

Cross Section ◽

Fuzzy Time Series ◽

Series Data ◽

Unbiased Estimation ◽

Cross Section Data ◽

Section Data ◽

Panel Data Regression ◽

Data Regression

The estimation in the regression analysis with cross section data is done by estimating the least squares method called Ordinary Least Square (OLS). Regression Method Data Panel will give the result of estimation which is Best Linear Unbiased Estimation (BLUE). Data Panel Regression is a combination of cross section data and time series, where the same unit cross section is measured at different times. So in other words, panel data is data from some of the same individuals observed in a certain period of time. If we have T time periods (t = 1,2, ..., T) and N the number of individuals (i = 1,2, ..., N), then with panel data we will have total observation units of N x T. If sum unit time is the same for each individual, then the data is called balanced panel. If instead, the number of time units is different for each individual, then it is called the unbalanced panel. While other data types, namely:time-series data and cross-section. In time series, one or more variables will be observed on one observation unit within a certain time frame. While data cross-section is the observation of several units of observation in a single point of time.Unlike the usual regression, panel data regression must go through the precise estimation modeling step.SEE ALSO :Zulfikar, R., & Mayvita, P. A. (2017). THE EFFECTS OF POLITICAL EVENTS AGAINST ABNORMAL RETURN AND TOTAL VOLUME SHARIA SHARES ACTIVITY THAT LISTED IN JAKARTA ISLAMIC INDEX (JII). JEMA: Jurnal Ilmiah Bidang Akuntansi dan Manajemen, 14(02), 64-74.Zulfikar, R., & AdeMayvita, P. (2017). Pengujian Metode Fuzzy Time Series Chen dan Hsu Untuk Meramalkan Nilai Indeks Bursa Saham Syariah Di Jakarta Islamic Index (JII). Wiga: Jurnal Penelitian Ilmu Ekonomi, 7(2), 108-124.

Download Full-text

ANALISIS REGRESI DATA PANEL TERHADAP INDEKS PEMBANGUNAN MANUSIA (IPM) JAWA TIMUR TAHUN 2006-2015

Majalah Ilmiah Matematika dan Statistika ◽

10.19184/mims.v18i2.17250 ◽

2018 ◽

Vol 18 (2) ◽

pp. 69

Author(s):

Muhammad Jamil Hidayat ◽

Alfian Futuhul Hadi ◽

Dian Anggraeni

Keyword(s):

Time Series ◽

Panel Data ◽

Cross Section ◽

Fixed Effect Model ◽

Fixed Effect ◽

Series Data ◽

Cross Section Data ◽

Section Data ◽

Effect Model ◽

Per Capita

Panel data is a combination of time series and cross section data. Panel data regression is used because in a time there is time researchers can’t perform analysis only by using time series data and cross section data only. This is because the number of factors used in the analysis phase, so that if the researcher only uses cross section data then the researcher can’t see the influence of factors that affect as well as on the growth of HDI that occurs from time to time in a certain period. Whereas it is quite possible that the conditions between one year and another will be different. Based on the model estimation, it is used with fixed effect model (FEM) approach. Modeling HDI with FEM in 2006-2015 period resulted in R2 value of 94.23%. The results showed that from 2006-2015 the ratio of student-teacher (RST), health facilities (HF), percentage of expenditure per capita by group of food (PPF) and regional per capita expenditure (PPE) have significant effect to HDI. Keywords: HDI, Panel, Fixed Effect Model

Download Full-text

Income

The Origins of Happiness ◽

10.23943/princeton/9780691196336.003.0003 ◽

2019 ◽

pp. 33-50

Author(s):

Andrew E. Clark ◽

Sarah Flèche ◽

Richard Layard ◽

Nattavudh Powdthavee ◽

George Ward

Keyword(s):

Cross Section ◽

Time Series Data ◽

The United States ◽

Series Data ◽

Cross Section Data ◽

Cross Sectional ◽

Childhood Experiences ◽

Section Data ◽

British Cohort Study

This chapter shows that, while happiness is not the same with income, income still affects happiness. Indeed, the effect of income on happiness is one of the best-measured effects in all happiness research. It presents the evidence to this effect. Again, the chapter begins with evidence from the British Cohort Study, mostly cross-sectional. It then goes on to time-series data on individuals drawn from three panel studies for Britain, Germany, and Australia, as well as cross-section data on the United States. The chapter also examines the key role of social comparisons and adaptation, before tracing how the income factor is determined by earlier childhood experiences.

Download Full-text

Determinant of Car Demand in Java Island

Economics Development Analysis Journal ◽

10.15294/edaj.v8i1.24947 ◽

2019 ◽

Vol 8 (1) ◽

pp. 1-8

Author(s):

Dyah Candra Kirana ◽

Prasetyo Ari Bowo

Keyword(s):

Data Analysis ◽

Panel Data ◽

Cross Section ◽

Time Series Data ◽

Panel Data Analysis ◽

Least Square ◽

Series Data ◽

Cross Section Data ◽

Section Data ◽

Per Capita

The purpose of this research is to examine factors that affect car demand in Java Island in 2012-2016. The research method used in this research is panel least square The data used in this research is panel data. The panel data consists of time series data (2012-2106) and cross section data (six province in Java Island, those are DKI Jakarta, Jawa Barat, Jawa Tengah, DI Yogyakarta, Jawa Timur, and Banten). Data were obtained from Central Bureau of Statistic Republic of Indonesia (BPS). Data analysis used is panel data analysis. The results showed that income per capita, population, and inflation have simultan effect on car demand in Java Island in 2012-2016. Per capita income has a positive and significant effect on car demand in Java Island in 2012-2016. Population has a positive and significant effect on car demand in Java Island in 2012-2016. Inflation has positive and insignificant effect on car demand in Java Island in 2012-2016.

Download Full-text

ANALISIS PENDAPATAN ASLI DAERAH DAN FAKTOR-FAKTOR YANG MEMPENGARUHINYA PADA KABUPATEN/KOTA DI PROVINSI SUMATERA BARAT

Jurnal Benefita ◽

10.22216/jbe.v4i3.4502 ◽

2019 ◽

Vol 4 (3) ◽

pp. 536

Author(s):

Olvi Verdian Abdillah ◽

Hefrizal Handra ◽

Adrimas Adrimas

Keyword(s):

Time Series ◽

Cross Section ◽

Central Government ◽

Time Series Data ◽

Fixed Effect Model ◽

Fixed Effect ◽

Series Data ◽

Section Data ◽

Effect Model ◽

West Sumatra

This study aims to analyze the factors that affect of the Local Own-Source Revenue (OSR) in West Sumatra. As for the data used is the data panel, which is the combination of time series data for 2010-2017 and cross-section data in 19 regencies/city in West Sumatra. Based on the the regression test using the Fixed Effect Model (FEM) obtained results that all of the three independent variables are significantly affect to OSR. On the other hand, based on the partial test, obtained that only dummy variables which representing the policy of transfer authority to managing of rural and urban land and buildings taxes (PBB-P2) from the central government to the local government does not significantly affect the OSR, while the two other variables per-capita GDRP and the number of electric customers partially significantly affect PAD. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi Pendapatan Asli Daerah (PAD) di Sumatera Barat. Adapun data yang digunakan merupakan data panel, yaitu kombinasi data time series tahun 2010-2017 dan data cross-section pada 19 Kabupaten/Kota di Sumatera Barat. Berdasarkan hasil uji regresi menggunakan Fixed Effect Model (FEM) diperoleh hasil bahwa secara bersama-sama ketiga variabel bebas signifikan mempengaruhi PAD.Sementara pada uji parsial diperoleh hasil bahwa hanya variabel dummy yang mewakili kebijakan transfer kewenangan pengelolaan Pajak Bumi Bangunan Pedesaan dan Perkotaan (PBB-P2) dari pusat ke daerah tidak signifikan mempengaruhi PAD, sementara dua variabel bebas lainnya yaitu PDRB Perkapita dan jumlah pelanggan listrik secara parsial signifikan mempengaruhi PAD.ABSTRACT<span style="font-size: 11pt; font-family: 'Times New Roman', serif; background-image: initial; background-position: initial; background-size: initial; background-repeat: initial; background-attachment: initial; background-origin: initial; background-clip: initial;" lang="EN-US">This study aims to analyze the factors that affect of the Local Own-Source Revenue (OSR) in West Sumatra. As for the data used is the data panel, which is the combination of time series data for 2010-2017 and cross-section data in 19 regencies/city in West Sumatra. Based on the the regression test using the Fixed Effect Model (FEM) obtained results that all of the three independent variables are significantly affect to OSR. On the other hand, based on the partial test, obtained that only dummy variables which representing the policy of transfer authority to managing of rural and urban land and buildings taxes (PBB-P2) from the central government to the local government does not significantly affect the OSR, while the two other variables per-capita GDRP and the number of electric customers partially significantly affect PAD.

Download Full-text

Decentralization of Education in Indonesia—A Study on Education Development Gaps in the Provincial Areas

International Education Studies ◽

10.5539/ies.v10n7p79 ◽

2017 ◽

Vol 10 (7) ◽

pp. 79

Author(s):

Winardi Winardi

Keyword(s):

Cross Section ◽

Time Series Data ◽

School Facilities ◽

Series Data ◽

Cross Section Data ◽

Education Development ◽

Section Data ◽

School Participation ◽

Decentralization Of Education ◽

Development Gap

Decentralization is acknowledged as the handover of government from central government to local government, including giving broader authority to local governments to manage education. This study aims to discovering education development gap between regions in Indonesia as a result of decentralization. This research method uses descriptive analysis that is supported by a combination of time series data and cross section data. Time series data used is the year 2014-2015, and the cross section data of 34 provinces in Indonesia. Gaps were revealed on the resources (including budgets, school facilities, and teachers), school participation, and the population that is illiterate in the area. The results showed that the persistence of the education development gap between regions. Gaps school facilities and number of teachers between regions still exists. The number of existing school facilities in some areas did not meet to accommodate all students. The ratio of the number of schools with teachers is still not meet. School participation rates in the provincial area still tend to be low, especially for the age group 16-18 and 19-24 years. There is gap between regions to reduce the population is illiterate, there are areas have a number of illiterates is still high despite the provincial area having income that is quite large. The study also found that, overall, the decentralization of education in Indonesia increase in the number of school participation and decrease the number of illiterate population in the provincial area.

Download Full-text

Pooling of Time Series and Cross Section Data

Econometrica ◽

10.2307/1912807 ◽

1969 ◽

Vol 37 (3) ◽

pp. 552

Author(s):

V. K. Chetty

Keyword(s):

Time Series ◽

Cross Section ◽

Cross Section Data ◽

Section Data

Download Full-text