Macroeconomic impact of public debt and foreign aid in Sri Lanka

Accumulation of public debt in Sri Lanka is raised significantly since the independence. It exceeded 100% of gross domestic products (GDP) in the late 1980s and the early 2000s. Although it has been declined in the recent past and becomes 79.3% of GDP in 2016; the high level of debt in a weak fiscal position of the small economy Sri Lanka is an issue of concern. In this backdrop, this paper examines the impact of public debt and foreign aid on income, price level and interest rate in Sri Lanka for the post-reform period. It is found that public debt in general and foreign debt, in particular, depresses income and stimulates price level. Domestic debt has some impact on the price level. On the other hand, foreign aid has a deleterious effect on both the income and price level. The foreign debt and aid have raised interest rate both in the short-run and in the long-run, while no significant impact of the domestic debt on interest rate is found. Based on these findings, the paper elaborates on some long-term measures for reducing the dependence on debt and aid in Sri Lanka.     

The triumph of hope over disappointment: A note on the utility value of good health expectations

In this paper, we present and test the empirical implications of competing theories about how expectations of outcomes affect utility. In the first utility formulation, which is consistent with particular interpretations of disappointment, prospect theory and regret theory, individuals receive negative utility from outcomes that were worse than expected. This directly implies that expectations themselves enter utility negatively. The second utility formulation incorporates anticipatory savoring, where positive expectations about the future directly lead to more utility today. We test which of these formulations best explains actual connections between health and welfare over time, using data from the Household Income and Labour Dynamics in Australia survey. Estimated coefficients from fixed-effects ordered logit models support a strong positive utility impact of positive expectations: expecting good health in the future increases happiness now. Our results are one argument for benevolent health care providers to allow individuals to maintain unrealistically positive expectations about the future.     

What’s in a frame? Goal framing,trust and reciprocity

Economists often rely on the Berg et al. (1995) trust game, or variants thereof, to identify levels of trust and reciprocity, which are fundamental to discussions of social capital. But to what extent is behavior in this game sensitive to the way the instructions are framed? We use the Berg et al. trust game played for ten rounds with random re-matching to study this. We implement a number of variations in the way the game is presented to subjects. We show that levels of trust, reciprocity and returns to trust are significantly higher under “goal framing”, which highlights the conflict inherent in the game, between self-interest and maximizing social surplus. Furthermore, with such framing, trust measured via the experimental game exhibits significant positive correlation with trust measured via the Social Values Orientation questionnaire.     

Green supply chain management innovation diffusion and its relationship to organizational improvement: An ecological modernization perspective

Drawing on diffusion of innovation and ecological modernization theories, we identify three types of industrial manufacturers, namely early adopters, followers, and laggards, based on the adoption of green supply chain management (GSCM) practices among Chinese manufacturers. Test results indicate that differences exist between the three types of GSCM adopters in terms of their environmental, operational, and economic performance. Understanding how Chinese manufacturers adopt GSCM practices and if this adoption affects their performance contributes theoretical advancement to the diffusion of innovation theory. Practically, the results provide managerial insights for manufacturers to benchmark for environmental management practices and performance improvement.     

ON THE THEORY OF ETHNIC CONFLICT

When considering engaging in conflict to secure control of a resource, a group needs to predict the amount of post‐conflict leakage due to infiltration by members of losing groups. We use this insight to explain why conflict often takes place along ethnic lines, why some ethnic groups are more often in conflict than others (and some never are), and why the same groups are sometimes in conflict and sometimes at peace. In our theory ethnic markers help enforce group membership: in homogeneous societies members of the losing group can more easily pass themselves as members of the winning group, and this reduces the chances of conflict as an equilibrium outcome. We derive a number of implications of the model relating social, political, and economic indicators such as the incidence of conflict, the distance between ethnic groups, group sizes, income inequality, and expropriable resources. One of the insights is that the incidence of ethnic conflict is nonmonotonic in expropriable resources as a fraction of total resources, with a low incidence for either low or high values. We use the model’s predictions to interpret historical examples of conflict associated with skin pigmentation, body size, language, and religion.     

Subject-specific performance information can worsen the tragedy of the commons: Experimental evidence

The main aim of this article is to investigate the behavioral consequences of the provision of subject-specific information in the group effort levels chosen by players in an experimental CPR game. We examine two basic treatments, one with incomplete information and the other with complete information. In the former, subjects are informed only about their own individual payoffs and the aggregate extraction effort level of the group, and in the latter they are also informed about the individual effort levels and payoffs of each subject. Given this setting, the basic question we attempt to answer is: Will the provision of subject-specific performance information (i.e. individual’s effort levels and payoffs) improve or worsen the tragedy of the commons (i.e. an exploitation effort level greater than the socially optimum level)? In order to motivate our hypotheses and explain our experimental results at the individual level, we make use of the theory of learning in games, which goes beyond standard non-cooperative game theory, allowing us to explore the three basic benchmarks in the commons context: Nash equilibrium, Pareto efficient, and open access outcomes. We use several learning and imitation theoretical models that are based on contrasting assumptions about the level of rationality and the information available to subjects, namely: best response, imitate the average, mix of best response and imitate the average, imitate the best and follow the exemplary learning rules. Finally, in order to econometrically test the hypotheses formulated from the theoretical predictions we use a random-effects model to assess the explanatory power of the different selected behavioral learning and imitation rules.     

Introducing model uncertainty by moving blocks bootstrap

It is common in parametric bootstrap to select the model from the data, and then treat as if it were the true model. Chatfield (1993, 1996) has shown that ignoring the model uncertainty may seriously undermine the coverage accuracy of prediction intervals. In this paper, we propose a method based on moving block bootstrap for introducing the model selection step in the resampling algorithm. We present a Monte Carlo study comparing the finite sample properties of the proposel method with those of alternative methods in the case of prediction intervas.     

Diagnostics for the diagnostics

Abstract

This paper examines the tendency towards income convergence among China's main provinces during the two periods: the pre‐reform period 1953–1977 and the reform period 1978–1997 using the framework of the Solow growth model. The panel data method accounts for not only province‐specific initial technology level but also the heterogeneity of the technological progress rate between the fast‐growing coastal and interior provinces. Estimation problems of weak instruments and endogeneity are addressed by the use of a system generalized method of moments (GMM) estimator. The main empirical finding is that there is a system‐wide income divergence during the reform period because the coastal provinces do not share a common technology progress rate with the interior provinces.     

Methodology for stochastic volatility process calibration application to the CAC 40 index

In considering volatility as a stochastic, the aim of this paper is to estimate the four parameters related to a particular stochastic process named P1 and based on a Wiener–Levy process. We present the methodology to estimate its four parameters. We calibrate this theoretical model P1 to the CAC 40 index real data. In the same time, we test the normality of the random variables related to the two Wiener–Levy processes. The calibration is performed using the implemented aforesaid algorithm. We compare the stochastic process P1 with another process named P2 and to the Heston [Closed form solution for options with stochastic volatility with application to bonds and currency options, Rev. Financ. Stud. 6(2) (1993), pp. 327–343] process named H0 and to two other improved Heston processes named H1 and H2. For the empirical study, the same algorithm is used to calibrate the five processes. The calibration is based on a database including the CAC 40 index daily ‘closing fixing’ values for the time period from 3rd January 2005 to 22nd January 2007. The data are divided into 18 classes relative to 18 different contracts of European calls on the CAC 40 index. As a result, we find that, the normality test of the CAC 40 index is rejected which is in accordance with the previous original works dealing with this problem. For the five volatility processes, the normality test is verified almost for the same contracts. We also find that according to the used data, the process P1 and its equivalent H1 are the best for calibration.