Analysis of Panel Data for Discrete Dependent Variables

2017 ◽  
pp. 197-211
Keyword(s):  
Panel Data ◽  
Dependent Variables ◽  
Discrete Dependent Variables

scholarly journals PENGARUH PENGGUNAAN MODAL TERHADAP TINGKAT EFISIENSI YANG DI CAPAI OLEH BANK YANG GO PUBLIK DI BURSA EFEK JAKARTA

2009 ◽  
Vol 7 (1) ◽  
pp. 33
Author(s):  
. Yanti
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Legal Capital ◽  
Dependent Variables ◽  
Efficiency Test ◽  
Test Result

Purpose of this research is to know development of legal capital and level of efficiency which in reached by Bank which Go Public at Bursa Effect Jakarta and know legal capital influence to level of efficiency pads Bank which Go Public at Bursa Effect Jakarta. From result of panel data analysis shows CAR and LDR to have influence which are positive with level of efficiency. Test Result F indicates that dependent variables tied is good in simulation influential significant to level of efficiency and tee test result indicates that usage variable of legal capital which in the form of LDR partially had an effect on significant to level of efficiency

scholarly journals Pengaruh Saham Syariah dan Sukuk yang Terdaftar di JII Terhadap Produk Domestik Bruto (PDB) Indonesia Tahun 2015-2019

2021 ◽  
Vol 4 (2) ◽  
pp. 220
Author(s):  
Rissa Lizah Susanti
Keyword(s):  
Panel Data ◽  
Linear Regression ◽  
Quantitative Method ◽  
Secondary Data ◽  
Independent Variables ◽  
Dependent Variables ◽  
Islamic Economic

<p>The background of this research is a phenomenm of Islamic economic financial which is the instrument of bursary effect. It focuses on the grow sharia stock and sukuk that leads to product domestic bruto (PDB) of certain contry. In this research sharia stock and sukuk as independent variables and product domestic bruto (PDB) as dependent variables. The object of this research is a secondary data from panel data of sharia stock and sukuk from 2015 to 2019. A quantitative method with association approach was chosen as the method of this research and also used doubled linear regression with Eviews 11 programme. The results showed that the sharia stock variables has sig value equal to 0,2409 (p&gt;0,05) in partially, and it mean that it does not affect to the product domestic bruto (PDB) variables. Meanwhile the sukuk variables has sig value equal to 0,000 (p&lt;0,05), and it affect the product domestic bruto (PDB) variables. And in the simultaneously results showed if sharia stock and sukuk variable have sig value equal to 0,000 (p&lt;0,05), it mean affectd the product domestic bruto (PDB) variables. Furthermore through the R Square test (R2), sharia stock and sukuk variables affect 91% of the product domestic bruto (PDB) variables and is 9% affected by other variables that does not included in this research.</p>

scholarly journals Exploring the Determinants of Financial Structure in the Technology Industry: Panel Data Evidence from the New York Stock Exchange Listed Companies

2019 ◽  
Vol 12 (4) ◽  
pp. 163 ◽  
Author(s):  
Vintilă ◽  
Gherghina ◽  
Toader
Keyword(s):  
New York ◽  
Panel Data ◽  
Stock Exchange ◽  
Financial Structure ◽  
New York Stock Exchange ◽  
Debt Ratio ◽  
Technology Industry ◽  
York Stock Exchange ◽  
Dependent Variables ◽  
The Impact

This paper aims to analyze the influencing factors on the financial structure of 51 companies listed on the New York Stock Exchange, in the technology industry, from 2005–2018. The objective is to see the impact of independent company-specific variables such as company size, tangibility of assets, growth opportunity, effective tax rate, current liquidity, depreciation, stock rotation, financial return, working capital, price to book value, price to earnings ratio, as well as the impact of governance variables and macroeconomic variables such as inflation rate, interest rate, market size, gross domestic product per capita. Using panel data and multiple linear regressions, we analyze the relationship between the independent variables listed above and the dependent variables, namely the total debt ratio, the long-term debt ratio and the short-term debt ratio. The results of the analysis showed that variables such as size, tangibility, liquidity, profitability have a significant influence on the dependent variables in accordance with the theories regarding the capital structure.

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