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Teacher Performance Pay: Experimental Evidence from India
We present results from a randomized evaluation of a teacher performance pay program implemented across a large representative sample of government-run rural primary schools in the Indian state of Andhra Pradesh. At the end of 2 years of the program, students in incentive schools performed significantly better than those in control schools by 0.27 and 0.17 standard deviations in math and language tests, respectively. We find no evidence of any adverse consequences of the program. The program was highly cost effective, and incentive schools performed significantly better than other randomly chosen schools that received additional schooling inputs of a similar value.
Journal Article
Public Sector Employment Inequality in the United States and the Great Recession
Historically in the United States, the public sector has served as an equalizing institution through the expansion of job opportunities for minority workers. This study examines whether the public sector continues to serve as an equalizing institution in the aftermath of the Great Recession. Using data from the Current Population Survey, I investigate changes in public sector employment between 2003 and 2013. My results point to a post-recession double disadvantage for black public sector workers: they are concentrated in a shrinking sector of the economy, and they are more likely than white and Hispanic public sector workers to experience job loss. These two trends are a historical break for the public sector labor market. I find that race and ethnicity gaps in public sector employment cannot be explained by differences in education, occupation, or any of the other measurable factors that are typically associated with employment. Among unemployed workers who most recently worked for the public sector, black women are the least likely to transition into private sector employment.
Journal Article
Building competitiveness in Africa's agriculture : a guide to value chain concepts and applications
Value chain–based approaches offer tremendous scope for market-based improvements in production, productivity, rural economy diversification, and household incomes, but are often covered by literature that is too conceptual or heavily focused on analysis. This has created a gap in the information available to planners, practitioners, and value chain participants. Furthermore, few references are available on how these approaches can be applied specifically to developing agriculture in Africa. 'Building Competitiveness in Africa's Agriculture: A Guide to Value Chain Concepts and Applications' describes practical implementation approaches and illustrates them with scores of real African agribusiness case studies. Using these examples, the 'Guide' presents a range of concepts, analytical tools, and methodologies centered on the value chain that can be used to design, implement, and evaluate agricultural and agribusiness development initiatives. It stresses principles of market focus, collaboration, information sharing, and innovation. The 'Guide' begins by examining core concepts and issues related to value chains. A brief literature review then focuses on five topics of particular relevance to African agricultural value chains. These topics address challenges faced by value chain participants and practitioners that resonate through the many cases described in the book. The core of the book presents methodological tools and approaches that blend important value chain concepts with the topics and with sound business principles. The tools and case studies have been selected for their usefulness in supporting market-driven, private-sector initiatives to improve value chains. The 'Guide' offers 13 implementation approaches, presented within the implementation cycle of a value chain program, followed by descriptions of actual cases. Roughly 60 percent of the examples are from Africa, while the rest come from Europe, Latin America, and Asia. The 'Guide' offers useful guidance to businesspeople, policy makers, representatives of farmer or trade organizations, and others who are engaged in agro-enterprise and agribusiness development. These readers will learn how to use value chain approaches in ways that can contribute to sound operational decisions, improved market linkage, and better results for enterprise and industry development.
eBook
ALTRUISM AND BURNOUT
This article explores why many public school teachers work substantially more hours than required by contract, given that the elasticity of their earnings with respect to their hours is close to zero. The author introduces a theoretical framework for public-sector employees in which high levels of effort can indicate either altruism (for intrinsically motivated employees) or low productivity (for low-ability employees). Because intrinsically motivated employees derive higher utility from working in the public sector, they are less likely to exit it. Over time, selection makes high levels of effort more strongly predictive of altruism than of low ability. Findings show that teachers with very low levels of experience exhibit little or no relationship between weekly hours and the probability of remaining in teaching. This correlation becomes more positive as teaching experience increases. Similarly, the level of work hours is positively related to self-reported burnout at low levels of experience, but the relationship is reversed for teachers who have been in the profession longer.
Journal Article
The perceived effectiveness of blockchain for digital operational risk resilience in the European Union insurance market sector
Due to the rise in the demand for information communication technologies (ICT), the need for operational risk resilience within the European insurance market sector has grown exponentially. This study aims to use the case of blockchain to evaluate whether the five characteristics determined from the literature to be required for effective digital risk resilience (specifically, integration, flexibility, reliability, relevance, and timeliness) have an impact on effectiveness in addressing the requirements of the European Union's proposed Digital Operational Resilience Act (DORA). To achieve this, we developed a survey with 29 statements, which participants were required to answer using a five-point Likert scale. In total, 513 valid responses were received from participants. These were analyzed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM). Results show that in the case of blockchain, reliability, flexibility, and relevance were found to significantly relate to its effectiveness in addressing DORA's requirements, but relationships of effectiveness with integration and timeliness were found to be insignificant. However, when the experience variable was added to the model as the moderator variable, we found that timeliness and relevance have a significant relationship with blockchain effectiveness, while integration, reliability, and flexibility do not.
Journal Article
Sector connectedness in the Chinese stock markets
Uncovering the risk-transmitting path within economic sectors in China is crucial for understanding the stability of the Chinese economic system, especially under the current situation of the China–US trade conflicts. In this paper, we aim to uncover the risk spreading channels by means of volatility spillovers within the Chinese sectors using stock market data. By applying the generalized variance decomposition framework based on the VAR model and the rolling window approach, a set of connectedness matrices is obtained to reveal the overall and dynamic spillovers within sectors. We find that 17 sectors (mechanical equipment, electrical equipment, utilities, and so on) are risk transmitters and 11 sectors (national defense, bank, non-bank finance, and so on) are risk takers during the whole period. Under the extreme risk events (i.e., the global financial crisis, the Chinese interbank liquidity crisis, the Chinese stock market crash, and the China–US trade war), the connectedness measures significantly increase and the financial sectors play a buffer role in stabilizing the economic system. Our results are robust to changes of the model parameters. Our study not only uncovers the spillover effects within the Chinese sectors, but also highlights the deep understanding of the risk contagion patterns in the Chinese stock markets.
Journal Article
The impact of diagnostic feedback to teachers on student learning
We present experimental evidence on the impact of a programme that provided low-stakes diagnostic tests and feedback to teachers, and low-stakes monitoring of classroom processes across a representative set of schools in the Indian state of Andhra Pradesh. We find teachers in treatment schools exerting more effort when observed in the classroom but students in these schools do no better on independently-administered tests than students in schools that did not receive the programme. This suggests that though teachers in the programme schools worked harder while being observed, there was no impact of the feedback and monitoring on student learning outcomes.
Journal Article
Patronage and Selection in Public Sector Organizations
In all modern bureaucracies, politicians retain some discretion in public employment decisions, which may lead to frictions in the selection process if political connections substitute for individual competence. Relying on detailed matched employer-employee data on the universe of public employees in Brazil over 1997–2014, and on a regression discontinuity design in close electoral races, we establish three main findings. First, political connections are a key and quantitatively large determinant of employment in public organizations, for both bureaucrats and frontline providers. Second, patronage is an important mechanism behind this result. Third, political considerations lead to the selection of less competent individuals.
Journal Article
Companies’ Stock Market Performance in the Time of COVID-19: Alternative Energy vs. Main Stock Market Sectors
The paper aims to detect the differences in stock market performance between companies from the alternative energy sector and main stock market sectors in the first and second years of the COVID-19 pandemic. We used Global Industry Classification Standard to analyse eleven main stock market sectors and the alternative energy sector. Based on the one-factor variance analysis—ANOVA, we reveal the statistically significant differences between the analysed stock market sectors in both 2020 and 2021. The analysis implied that the performance of stock market companies during COVID-19 is sector-specific. Tukey’s Honestly Significant Difference (HSD) test for pairwise comparison indicates that the alternative energy sector shows the most differentiation. Its average rate of return in 2020 is the highest and is significantly different for all eleven stock market sectors, while the top constituents from the conventional energy and financial sectors suffered the most. In 2021, a reverse trend in the stock prices can be observed. Companies from the conventional energy and financial sectors achieved the highest positive average weekly rates of return among all of the analysed stock market sectors, while the alternative energy sector performed significantly worse than the other sectors did. Nevertheless, throughout the entire analyses period of 2020–2021, the companies from the alternative energy sector turned out to be the biggest stock market beneficiaries. This study might imply that the COVID-19 pandemic has not hampered but has instead accelerated growing concerns about the environment and climate change.
Journal Article