scholarly journals Predicting individual effects in fixed effects panel probit models

2021 ◽  
Author(s):  
Johannes S. Kunz ◽  
Kevin E. Staub ◽  
Rainer Winkelmann
Keyword(s):  
Fixed Effects ◽  
Probit Models ◽  
Individual Effects

scholarly journals Heteroskedasticity in One-Way Error Component Probit Models

Econometrics ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 35
Author(s):  
Richard Kouamé Moussa
Keyword(s):  
Monte Carlo ◽  
Robustness Analysis ◽  
Probit Model ◽  
Estimation Procedure ◽  
Error Component ◽  
Ratio Test ◽  
Probit Models ◽  
Power Of The Test ◽  
Individual Effects ◽  
High Degree

This paper introduces an estimation procedure for a random effects probit model in presence of heteroskedasticity and a likelihood ratio test for homoskedasticity. The cases where the heteroskedasticity is due to individual effects or idiosyncratic errors or both are analyzed. Monte Carlo simulations show that the test performs well in the case of high degree of heteroskedasticity. Furthermore, the power of the test increases with larger individual and time dimensions. The robustness analysis shows that applying the wrong approach may generate misleading results except for the case where both individual effects and idiosyncratic errors are modelled as heteroskedastic.

scholarly journals Almost Consistent Estimation of Panel Probit Models with “Small” Fixed Effects

2003 ◽  
Vol 22 (1) ◽  
pp. 1-28 ◽  
Author(s):  
François Laisney ◽  
Michael Lechner
Keyword(s):  
Fixed Effects ◽  
Consistent Estimation ◽  
Probit Models

scholarly journals Estimation for Dynamic and Static Panel Probit Models with Large Individual Effects

2016 ◽  
Vol 38 (2) ◽  
pp. 266-284 ◽  
Author(s):  
Wei Gao ◽  
Wicher Bergsma ◽  
Qiwei Yao
Keyword(s):  
Large Individual ◽  
Probit Models ◽  
Individual Effects

scholarly journals The Consequences of Corruption on Economic Growth in Mediterranean Countries: Evidence from Panel Data Analysis

2018 ◽  
Author(s):  
Hicham Boussalham
Keyword(s):  
Economic Growth ◽  
Fixed Effects ◽  
Negative Impact ◽  
Panel Data Analysis ◽  
Suitable Model ◽  
Fixed Effects Model ◽  
Mediterranean Countries ◽  
Individual Effects ◽  
The Individual ◽  
The Impact

This study attempts to assess the impact of corruption on economic growth in the Mediterranean countries, during the period from 1998 to 2007. Econometric analysis using panel regression has been adopted to test this effect. Individual effects models such as random effects model and fixed effects model were applied to the study sample of 160 observations, and to choose the suitable model, we implemented several tests. For our analysis, we used a basic model that includes the dependent variable GDP per capita as a factor of economic growth and the corruption perception index as the independent variable concerned. Then we completed the model with several standardized macroeconomic control variables mentioned above and applied the individual effects models. The outcomes illustrate that corruption has a negative impact on the selected Mediterranean countries’ economic growth.

CULTURE AND SAVINGS: WHY DO ASIANS SAVE MORE?

2020 ◽  
pp. 1-31
Author(s):  
DEZHU YE ◽  
SHUANG PAN ◽  
YUJUN LIAN ◽  
YEW-KWANG NG
Keyword(s):  
Economic Growth ◽  
Fixed Effects ◽  
Cultural Dimensions ◽  
Relative Importance ◽  
Individual Effects ◽  
Importance Analysis ◽  
Saving Rates ◽  
The Relationship ◽  
Cultural Indices ◽  
Relative Importance Analysis

It is a basic consensus that culture affects savings, but the empirical evidence is inadequate. This paper investigates the relationship between culture and savings by using the Hofstede cultural indices, and macro data across 48 countries over the period 1990–2013. The results show that country-fixed effects are highly significant, even if traditional variables are controlled for. We discover that culture can explain much of these individual effects and thus is very important in explaining differences in savings across countries. We use the method of Relative Importance Analysis (RIA) to measure the relative importance of the various cultural dimensions in affecting saving rates. We find that culture-related variables are among the most important saving determinants, along with other variables more commonly used in the economics literature, such as economic growth, social security, and demographics.

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