Stunting (low height-for-age) is known to be a good proxy for a child’s wellbeing. Several studies have suggested that the South African Child Support Grant (CSG) reduces stunting in benefiting children. However, all of these studies have estimated the impact of the CSG on the mean of the height-for-age distribution. This paper investigates how this benefit varies across the quantiles of the height-for-age distribution.
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
We use behavioural insights to design nudges leveraging social comparison and assignment of responsibility aimed at reducing electricity consumption in a large provincial government office building with 24 floors. Results from a randomized control trial show that floors participating in a treatment with inter-floor competitions and tips reduced energy consumption by 9%, while those that also included floor-wise ‘energy advocates” reduced energy consumption by 14% over a period of 5 months.
The use of small scale off-grid renewable energy for rural electrification is now seen as part of the sustainable energy solutions. The expectations from such small scale investment is that it can meet basic energy needs of a household and subsequently improve some aspects of the household welfare. However, these stated benefits remain largely hypothetical because there is data and methodological challenges in existing literature attempting to isolate such impact.
This study exploits a natural experiment to evaluate the gender bias effect associated with negative marking due to gender-differentiated risk aversion. This approach avoids framing effects that characterize experimental evaluation of negative marking assessments. Evidence of a gender bias against female students is found. Quantile regressions indicate that female students in higher quantiles are substantially more adversely affected by negative marking.
The paper estimates the impact of the South African Child Support Grant (CSG) on child health, nutrition and education. Data from the 2008 South African National Income Dynamics Study (NIDS) are used. Two non-experimental treatment evaluation techniques, both relying on propensity scores, are applied to six different outcome variables. Using propensity score matching with a binary outcome variable, no convincing evidence of improvements on any of the outcome variables is found. A second technique is therefore also applied, using a generalised form of the propensity scores.
We implement a recursive out-of-sample method to examine anomalies-based ex-ante predictability in the cross-section of stock returns. We obtain a series of simulated out-of-sample returns, consistent with investors using only prior information when choosing predictor variables. We find that, by commonly used performance criteria, real-time trading strategies based on size, value and momentum effects would not consistently outperform a passive index of South African stocks - despite consistent in-sample excess returns.