Study on Fixed Effect versus Random Effects Modeling in a Panel Data Analysis; a Consideration of Economic and Political Indicators in Six African Countries

This study aims to determine the effect of minimum wages and employment of industrial sector in East Java. Researchers include two control variables are GDP as control variable of demand labor and work force as control variable of supply labor by using panel data from all districts and cities in East Java (29 districts and nine cities). Analysis of this study used panel data analysis which consisting of the Common Effect model, Fixed Effect model and Random Effect model, then chosed the most appropriate model. The result of this study show after testing the models, the appropriate model is fixed effect where minimum wages have negative effect of employment in industrial sector in east java.

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Determinants of Foreign Direct Investment: A Panel Data Analysis for Sub-Saharan African Countries

EMAJ Emerging Markets Journal ◽

10.5195/emaj.2019.175 ◽

2019 ◽

Vol 9 (1) ◽

pp. 80-87 ◽

Cited By ~ 2

Author(s):

Semra Boğa

Keyword(s):

Data Analysis ◽

Panel Data ◽

Panel Data Analysis ◽

Trade Openness ◽

Gdp Growth ◽

Annual Data ◽

African Countries ◽

Fdi Inflows ◽

Sub Saharan ◽

Determinants Of Fdi

The aim of this study is to investigate the determinants of FDI inflows in Sub-Saharan African countries. In this study, panel data analysis was performed by using annual data from 23 countries for the period of 1975-2017. The Pesaran (2004) Cross-Section Dependence Test was performed to test correlation and IPS Unit Root Test was applied to reveal the stationary level between the units. Based on the PMG estimator results GDP growth, trade openness, domestic credit, natural resources and telecommunication infrastructure are all found to be the determinants of FDI inflows in Sub-Saharan countries in the long term. But, in the short term, only the GDP growth and trade openness determines the FDI inflows.

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Female Director and Agency Cost: Does board gender diversity at Indian corporate board reduce agency conflict?

TRANSNATIONAL MARKETING JOURNAL ◽

10.33182/tmj.v9i3.1322 ◽

2021 ◽

Vol 9 (3) ◽

Author(s):

Shubhanker Yadav ◽

Miklesh Prasad Yadav

Keyword(s):

Data Analysis ◽

Panel Data ◽

Stock Exchange ◽

Panel Data Analysis ◽

Agency Cost ◽

Fixed Effect ◽

Principal Agent ◽

Women Directors ◽

Effect Model ◽

Female Director

We examined the presence of women directors in top-level management and their effect on principal-principal conflict (PP) and principal-agent conflict (PA) on the firms listed on Indian stock exchange using a panel model approach. For analysis purpose, this study covers the sample of 75 companies belonging to various industries and listed in Bombay Stock Exchange Index, has been studied over thirteen financial years, i.e. from year 2006 to year 2019. This study uses panel data analysis, i.e. fixed effect model and random effect model. The proportion and presence (dichotomous) of women directors on top level management board is taken as the independent variable. Principal-principal conflict measured by assets utilization ratio (AUR), and principal-agent conflict is been measured by dividend payout ratio (DPR), are taken as dependent variable in this study. The prime results of this study using panel data analysis, i.e. fixed effect (FE) and random effects (RE) estimation models point towards no significant impact of the female director (proportion and presence) on the firm’s agency cost (PP and PA).

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