scholarly journals Dual Generalized Maximum Entropy Estimation for Panel Data Regression Models

2014 ◽  
Vol 21 (5) ◽  
pp. 395-409 ◽  
Author(s):  
Jaejun Lee ◽  
Sooyoung Cheon
Keyword(s):  
Panel Data ◽  
Maximum Entropy ◽  
Regression Models ◽  
Entropy Estimation ◽  
Generalized Maximum Entropy ◽  
Panel Data Regression ◽  
Data Regression ◽  
Maximum Entropy Estimation

scholarly journals Pengaruh pendapatan asli daerah, dana alokasi umum dan dana alokasi khusus terhadap belanja modal pada kabupaten/kota di Provinsi Jambi

2019 ◽  
Vol 14 (1) ◽  
pp. 27-36
Author(s):  
Venny Tria Vanesha ◽  
Selamet Rahmadi ◽  
Parmadi Parmadi
Keyword(s):  
Panel Data ◽  
Regression Models ◽  
Capital Expenditure ◽  
Panel Data Regression ◽  
Data Regression ◽  
Directorate General ◽  
Fiscal Balance ◽  
Ministry Of Finance ◽  
The Republic

This study aims to analyze the development of Local Own-Source Revenue (PAD), General Allocation Fund (DAU), Spesific Allocation Fund (DAK), and capital expenditure as well as the influence of PAD, DAU and DAK on capital expenditure in districts/cities in Jambi Province. Data is sourced from the Directorate-General of Regional Fiscal Balance, the Ministry of Finance of the Republic of Indonesia. Data were analyzed using panel data regression models. The results of the study found that simultaneously PAD, DAU, DAK had a significant effect on capital expenditure. However, only partially the DAU influences the capital expenditure of districts/ cities in Jambi Province.

scholarly journals Estimation of Panel Data Regression Models with Two-Sided Censoring or Truncation

2014 ◽  
Vol 3 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Sule Alan ◽  
Bo E. Honoré ◽  
Luojia Hu ◽  
Søren Leth-Petersen
Keyword(s):  
Panel Data ◽  
Regression Models ◽  
Panel Data Regression ◽  
Data Regression

scholarly journals Testing panel data regression models with spatial error correlation

2003 ◽  
Vol 117 (1) ◽  
pp. 123-150 ◽  
Author(s):  
Badi H. Baltagi ◽  
Seuck Heun Song ◽  
Won Koh
Keyword(s):  
Panel Data ◽  
Regression Models ◽  
Spatial Error ◽  
Panel Data Regression ◽  
Data Regression ◽  
Error Correlation

Nonparametric Panel Data Regression Models

2015 ◽  
Author(s):  
Badi H. Baltagi ◽  
Yiguo Sun ◽  
Yu Yvette Zhang ◽  
Qi Li
Keyword(s):  
Panel Data ◽  
Regression Models ◽  
Panel Data Regression ◽  
Data Regression

scholarly journals Generalized Maximum Entropy Estimation of Linear Models

2017 ◽  
Vol 17 (1) ◽  
pp. 240-249 ◽  
Author(s):  
Paul Corral ◽  
Daniel Kuehn ◽  
Ermengarde Jabir
Keyword(s):  
Maximum Likelihood ◽  
Maximum Entropy ◽  
Linear Models ◽  
Estimation Method ◽  
Information Theoretic ◽  
Entropy Estimation ◽  
Generalized Maximum Entropy ◽  
Maximum Entropy Estimation ◽  
Distributional Assumptions ◽  
Highly Correlated

In this article, we describe the user-written gmentropylinear command, which implements the generalized maximum entropy estimation method for linear models. This is an information-theoretic procedure preferable to its maximum likelihood counterparts in many applications; it avoids making distributional assumptions, works well when the sample is small or covariates are highly correlated, and is more efficient than its maximum likelihood equivalent. We give a brief introduction to the generalized maximum entropy procedure, present the gmentropylinear command, and give an example using the command.

scholarly journals The Effect of Capital Structure on Profitability: An Empirical Panel Data Study

2019 ◽  
Vol 8 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Narinder Pal Singh ◽  
Mahima Bagga
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Fixed Effects ◽  
Regression Models ◽  
Positive Impact ◽  
Stock Exchange ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Individual ◽  
The Relationship

One of the most perplexing issues faced by finance managers is to know about the effect of capital structure on the profitability of firm. Many studies have been carried out to examine the effect of capital structure on the profitability of firms, but most of them belong to other parts of the world, and only few studies have been conducted in India. Thus, the present study has been undertaken to evaluate the effect of capital structure on the profitability of Nifty 50 companies listed on National Stock Exchange of India from 2008 – 2017. The data has been analyzed by using descriptive statistics, correlation and multiple panel data regression models. Four different regression models have been used to study the relationship between capital structure and profitability. In these models, we study the individual effect of total debt and total equity ratios on profitability, that is, ROA and ROE. All four models have been tested with pooled OLS, fixed effects, and random effects. We conclude that there is significant positive impact of capital structure on firm’s profitability.

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