ON THE IMPACT OF PUBLIC DEBT ON ECONOMIC GROWTH: DOES COUNTRY RISK MATTER?

This study examines the nonlinear impacts of four country risk indices on the debt‐growth nexus for 61 countries in a panel data framework. Our results show evidence of the different debt‐growth nexus under the different degrees of country risk. Under a high‐risk environment, a country's economic growth is harmed by raising its public debt. The negative effects public debt has on economic growth become weak under low political and financial‐risk environments, while an increase in public debt could help to stimulate economic growth under low composite and economic risk environments. In addition, the differences of countries' income and debt levels also lead country risks to have different effects on the debt‐growth nexus, suggesting that a country should borrow appropriately based on its current risk environments while improving economic performance. (JEL C33, E02, H63, O43)     

Incentives and teacher effort

Few would contest that teachers are a very important determinant of how much students learn in school, and how to improve teacher performance has been the focus of lively policy debate in both rich and poor countries. This paper examines how teacher incentives, both pecuniary and non‐pecuniary, correlate with teacher effort. Using school survey data from Lao PDR, we estimate measures of teacher effort, including the number of hours that teachers spend preparing for classes and teacher provision of private tutoring outside of class hours, which are not the typical measures used in previous research. Estimation results fit well under the standard labour supply framework and indicate that greater teacher effort is associated with non‐pecuniary incentives such as more teacher autonomy over teaching materials and monitoring as measured by the existence of an active parent – teacher association and the ability of school principals to dismiss teachers. Methodologically, this paper provides a detailed derivation of a simultaneous OLS‐probit model with school random effects that can jointly estimate teacher work hours and tutoring provision.     

Do Education and Income Really Explain Inequalities in Health? Applying a Twin Design

We apply a twin design to examine the relationship between health and education and income. The estimated associations between health and education and income, controlling for unobserved endowments, at the twin‐pair level, are lower than estimates obtained via ordinary least‐squares (OLS) on the same sample. Thus, OLS‐based effects of education and income are biased, exaggerating the contribution of education and income to health inequality. The main part of health inequality is explained by within‐twin‐pair fixed effects, incorporating family background and genetic inheritance. It appears that education and income policies have less to offer for reducing health inequality than is usually assumed.     

EXPERIMENTAL AND SELF‐REPORTED MEASURES OF RISK TAKING AND DIGIT RATIO (2D:4D): EVIDENCE FROM A LARGE,SYSTEMATIC STUDY

We systematically investigate the links between the digit ratio (2D:4D)—a biomarker for prenatal testosterone exposure—and two measures of individual risk taking: (i) risk preferences (RP) over lotteries with real monetary incentives and (ii) self‐reported risk attitude (RA). We find that both the right‐hand and the left‐hand digit ratio are significantly associated with RP: Subjects with lower digit ratios tend to choose riskier lotteries. Neither digit ratio, however, is associated with self‐reported RA.     

State‐Dependent Forward Guidance and the Problem of Inconsistent Announcements

Forward guidance can be provided as an unconditional promise, i.e. commitment to a specific low policy rate. Alternatively, the promise may include an escape clause, i.e. a condition defining the state of the economy under which the central bank would not keep such a low rate and, instead, it would revert to setting policy under discretion. The escape clause can be expressed as a threshold in terms of a specific variable. The present paper shows that, when such a threshold is expressed in terms of an endogenous variable (e.g. output, inflation), there are cases where it becomes impossible for the central bank to act in a way that is consistent with its promise. Consistency imposes limits on the policy rate that can be set since reverting immediately to the optimal discretionary rate can be incompatible with exceeding the threshold.     

中国居民物质性消费与收入关系及其空间特征

对1993年起中国开始步入过剩经济时代进行了实证分析，给出了沿海与内地城镇及农村居民物质性消费与收入的恩格尔函数及其特征；在收入－消费关系空间特征分析的基础上，指出居民消费倾向内地高于沿海，内地城镇高于农村。最后从居民物质性消费与收入关系及空间特征角度讨论了现阶段加速中西部地区发展的必要性与合理性。     

专家型全球治理：从实力到影响力的转化

如果说今日全球治理领域里的大国关系是昨日权力之争持续演进的新形式,那么国家间的博弈方式便会发生重要变化。权力的概念也随之发生变化。实现国家实力向影响力转变的方式是多层次的、专门化的、灵活化的、精英化的。更为专业化地参与全球治理是国际权力的主要实现路径之一。在全球治理的领域内。国家利益是经过重组的,而非减弱的,它是专家群体再解读的结果。此外,专家、精英群体也发挥着独立的作用。专业的知识、技能是他们参与治理权力、权威的来源。专家型治理是一种综合了国家利益、专家共同体利益、全球利益的治理形态．是新时代国家竞争力的重要体现方式。     

Using paradata to collect better survey data: Evidence from a household survey in Tanzania

Data are a key component in the design, implementation, and evaluation of economic and social policies. Monitoring data quality is an essential part of any serious, large‐scale data collection process. The purpose of this article is to show how paradata should be used before, during, and after data collection to monitor and improve data quality. To do this we use timestamps, global positioning system (GPS) coordinates, and other paradata collected from an 800‐household survey conducted in Tanzania in 2016. We demonstrate how key paradata can be used during each phase of a research project to identify and prevent issues in the data and the methods used to collect it. Our results corroborate the importance of collecting and analyzing paradata to monitor fieldwork and ensuring data quality for micro data collection in developing countries. Based on these findings we also make recommendations as to how researchers can make better use of paradata in the future to manage and improve data quality. We argue for an expansion in the understanding and use of varied paradata among researchers, and a greater focus on its use for improving data quality.     

Voluntary Contributions to a Mutual Insurance Pool

We study mutual‐aid games in which individuals choose to contribute to an informal mutual insurance pool. Individual coverage is determined by the aggregate level of contributions and a sharing rule. We analyze theoretically and experimentally the (ex ante) efficiency of equal and contribution‐based coverage. The equal coverage mechanism leads to a unique no‐insurance equilibrium while contribution‐based coverage develops multiple equilibria and improves efficiency. Experimentally, the latter treatment reduces the amount of transfers from high contributors to low contributors and generates a “dual interior equilibrium.” That dual equilibrium is consistent with the co‐existence of different prior norms which correspond to notable equilibria derived in the theory. This results in asymmetric outcomes with a majority of high contributors less than fully reimbursing the global losses and a significant minority of low contributors less than fully defecting. Such behavioral heterogeneity may be attributed to risk attitudes (risk tolerance vs risk aversion) which is natural in a risky context.     

Asymmetric Effects of Exchange Rate Changes and the J‐curve: New Evidence from 61 Malaysia–Thailand Industries

Research on the impact of currency depreciation on the trade balance is now moving in a new direction by incorporating nonlinear dynamic adjustment of the exchange rate and by using a nonlinear approach to error‐correction modeling and cointegration. Using these advances, researchers find not only more evidence of the J‐curve effect, but also new evidence of asymmetric effects of exchange rate changes on the trade balance. We contribute to this line of research by using monthly trade flow data from 61 two‐digit industries that trade between Malaysia and Thailand, and show that not only does currency depreciation have favorable effects on the trade balance of more industries, but the long‐run effects are asymmetric in 26 out of 61 cases. In line with current literature, our nonlinear model performs much better than the linear model when industry level data are used.