Public-Private Sector Wage Differential in Estonia: Evidence from Quantile Regression

2005 ◽  
Author(s):  
Kristjan-Olari Leping
Keyword(s):  
Private Sector ◽  
Quantile Regression ◽  
Wage Differential

The Asymmetric Effects of Regional House Prices in the UK: New Evidence from Panel Quantile Regression Framework

2021 ◽  
pp. 232102222098054
Author(s):  
Panayiotis Tzeremes
Keyword(s):  
Private Sector ◽  
Quantile Regression ◽  
House Prices ◽  
Ripple Effect ◽  
The United Kingdom ◽  
Housing Starts ◽  
Panel Quantile Regression ◽  
Linear Behaviour ◽  
Significant Performance ◽  
The Uk

This study unfurls the non-linear behaviour of regional house prices in the United Kingdom by employing quarterly observations spanning the period 1992Q1–2017Q4. Our enquiry aims at examining UK house prices within a multivariable framework and, more specifically, by employing panel quantile regression with fixed effect. In brief, the empirical findings obtained from these methodologies indicate that the UK house prices are influenced at lower and upper quantiles, and that precisely they are influenced by variables such as income, private sector housing starts and employment. We highly support that there is a strong heterogeneity among UK regions and that asymmetry may be one of the keys of the ripple effect. Particularly, the income shows a positively significant performance at lower and higher regional house prices. Moreover, the variables private sector housing starts and employment rate are statistically significant for house prices. Leveraging for first-time panel quantile regression for the case of regional house prices in the UK, policymakers will have a profound understanding of regional house prices. JEL Classifications: C22, R21, R31

scholarly journals The Public and Private Sector Pay Gap in Pakistan: A Quantile Regression Analysis

2005 ◽  
Vol 44 (3) ◽  
pp. 271-306 ◽  
Author(s):  
Asma Hyder ◽  
Barry Reilly
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Quantile Regression ◽  
Labour Force ◽  
Wage Distribution ◽  
Pay Gap ◽  
Public And Private ◽  
The Public ◽  
Quantile Regression Analysis ◽  
Public And Private Sector

This paper examines the magnitude of public/private wage differentials in Pakistan using data drawn from the 2001-02 Pakistan Labour Force Survey. As in many other countries, public sector workers in Pakistan tend both to have higher average pay and education levels as compared to their private sector counterparts. In addition, the public sector in Pakistan has both a more compressed wage distribution and a smaller gender pay gap than that prevailing in the private sector. Our empirical analysis suggests that about two-fifths of the raw differential in average hourly wages between the two sectors is accounted for by differentials in average characteristics. The estimated public sector mark-up, ceteris paribus, is of the order of 49 percent and is substantial by the standards of developed economies. The quantile regression estimates suggest that the mark-up was found to decline monotonically with movement up the conditional wage distribution. In particular, the premium at the 10th percentile was estimated at 92 percent as compared to a more modest 20 percent at the 90th percentile.

PUBLIC-PRIVATE SECTOR WAGE DIFFERENTIAL IN THE U.K.

1995 ◽  
Vol 63 (1) ◽  
pp. 52-68 ◽  
Author(s):  
HEDLEY REES ◽  
ANUP SHAH
Keyword(s):  
Private Sector ◽  
Wage Differential

Gender wage differential in private and public sector employment

2016 ◽  
Vol 31 (3) ◽  
pp. 222-248 ◽  
Author(s):  
Verena Tandrayen-Ragoobur ◽  
Rajeev Pydayya
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Wage Differential ◽  
Wage Gap ◽  
Wage Distribution ◽  
Economic Sectors ◽  
Cross Sectional ◽  
Public And Private ◽  
Content Type ◽  
The Public

Purpose This paper aims to analyse the magnitude of the gender wage disparity in the public and private sectors in Mauritius across both mean differentials and overall wage distribution. The paper then decomposed the gender wage differential using the Oaxaca and Blinder (1973) decomposition technique. Design/methodology/approach The study uses cross-sectional data from the Continuous Multi-Purpose Household Budget Survey (CMPHS), from 2006 to 2013. The sample size on average is around 12,000 households surveyed per year. Findings The results reveal that that gender wage differentials are prevalent in both economic sectors; however, the disparity is more pronounced in the private sector. In addition, the differences in wages are larger at the bottom compared to the top end of the wage distribution, suggesting the presence of sticky floors. Lastly, it was observed that the unexplained wage gap (discrimination) is higher in the private sector than in public sector across the years. Originality/value The literature on the gender wage gap in Africa is limited. This paper adds to the existing literature on gender wage differential with an analysis of the gender wage disparity across the public and private sectors in Mauritius.

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