scholarly journals Conventional and Current way of Interpretation and Cost Forecasting

2020 ◽  
Vol 1 (6) ◽  
pp. 30-33
Author(s):  
Shahin ripon Nazmul ◽  
Riyaaz Sanjoy
Keyword(s):  
Regression Analysis ◽  
Production Process ◽  
Cross Section ◽  
Series Data ◽  
Cross Section Data ◽  
Short Term ◽  
Section Data ◽  
Production Factors ◽  
Cost Forecasting

This study discuses Short-term cost interpretation, regression analysis with time-series data, long term cost interpretation, Regression analysis using cross-section data, cost forecasting and Changes in the productivity of production factors. Short-term cost interpretation lead to short-term decisions, the concept of incramental costs has a very important role which includes variable costs and changes in fixed costs.  Long term cost interpretation to analyze the production function of several different firms, long-run cost estimates can be used. Based on these conditions, the estimation of long-term costs uses cross-section data. Forecasting costs for various levels of output in the coming period requires an assessment of changes in the efficiency of the production process physically, plus changes in the prices of production factors used in the production process.

scholarly journals ANALISIS PENGARUH SOSIAL EKONOMI TERHADAP PENGELOLAAN SAMPAH DI SUMATERA BARAT (STUDI KASUS DAERAH PERKOTAAN)

2020 ◽  
Vol 2 (1) ◽  
pp. 107
Author(s):  
Nesyana Dewi ◽  
Melti Roza Adry
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Waste Management ◽  
Cross Section ◽  
Urban Areas ◽  
Secondary Data ◽  
Cross Section Data ◽  
Income Per Capita ◽  
Section Data ◽  
Per Capita

This study aims to determine the effect of education, income per capita, age and knowledge on waste management in urban areas West Sumatera. This study uses secondary data in the form of cross section data of urban West Sumatera. Data obtained from BPS- Susenas West Sumatera. This study uses logistic regression analysis. The result of this study indicate that (1) education has not significant effect on waste management in urban areas West Sumatera (2) income per capita has not significant effect on waste management  in urban areas West Sumatera (3) age has not significant effect on waste management in urban areas West Sumatera (4) knowledge has a significant effect on waste management in urban areas West Sumatera

scholarly journals Determinan Pengangguran Terdidik Lulusan Universitas di Pulau Jawa

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.

scholarly journals Brand Loyalty of Baby Diaper Products

2018 ◽  
Vol 21 (1) ◽  
pp. 79-88
Author(s):  
Sajeeb Kumar Shrestha
Keyword(s):  
Regression Analysis ◽  
Cross Section ◽  
Brand Loyalty ◽  
Brand Image ◽  
Descriptive Statistics ◽  
Brand Experience ◽  
Cross Section Data ◽  
Section Data ◽  
Factors Influencing ◽  
Quality Design

This study tries to measure the factors influencing brand loyalty of baby diapers in Kathmandu City. Primary cross section data were collected using structured questionnaires. 200 working mothers were chosen as sample of the study. Reliability analysis, descriptive statistics and regression analysis was done to filter the questions, to summarize the data and to test the hypotheses. This research confirmed convenience, product quality, design, brand experience and brand image factors are important factors for brand loyalty of baby diaper products. Price has no support for brand loyalty.

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

2020 ◽  
Vol 5 (1) ◽  
pp. 11-28
Author(s):  
Andi Runis Makkulau
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Financial Distress ◽  
Time Series Data ◽  
Series Data ◽  
Sales Growth ◽  
Cross Section Data ◽  
Current Ratio ◽  
Section Data ◽  
Equity Ratio

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  

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

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.

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

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

Income

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.

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

1986 ◽  
Vol 46 (2) ◽  
pp. 477-488 ◽  
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.

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