scholarly journals Learner performance in the 2009 to 2014 final Grade 12 mathematics examination: A quantile regression approach

Pythagoras ◽  
2020 ◽  
Vol 41 (1) ◽  
Author(s):  
Nombuso Zondo ◽  
Temesgen Zewotir ◽  
Delia North

The South African education system bears evidence of fluctuations in the final Grade 12 mathematics marks occurring across different learner profiles. This study reflected on the National Senior Certificate (NSC) mathematics results from the Western Cape Education Department for the years 2009 to 2014, the period just after the introduction of the NSC in 2008 and including the updated NSC introduced in 2014. Accordingly, this study aimed to examine the learners’ performance by socio-economic school quintile and education district for the period of 2009 to 2014, for learners in the Western Cape. Instead of the ordinary regression model, we adopted the quantile regression approach to examine the effect of school (national) quintile (NQ) type and education district at different quantiles of learner performance in the mathematics examination. The results showed that there is a significant school quintile type and education district effect on learner performance in NSC mathematics examinations for learners in the Western Cape. In some years, there were no significant performance differences between learners from NQ2 and NQ4 schools in the different quantiles. Similarly, learner performance differences for NQ3 and NQ4 schools were not significant. As we moved from 2009 to 2014, the performance difference between the lower school quintiles and the upper school quintiles narrowed, although the performance differences remained significant. These differences were smallest in 2013. This is a good sign, as it indicates that government efforts and policies, designed to narrow the historical social disparities manifested in the schools, have been somewhat successful. The identification and scrutinising of school quintile type and education district where the gap is wider will assist the government to review policies and interventions to accelerate the transformation.

Author(s):  
Ursula Hoadley ◽  
Brian Levy ◽  
Lawule Shumane ◽  
Shelly Wilburn

2021 ◽  
pp. 232102222098054
Author(s):  
Panayiotis Tzeremes

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


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