Bank risk and non-interest income activities in the Indonesian banking industry

The recent trend of product diversification in the Indonesian banking industry underscores the importance of non-interest income activities. This study examines the relationship between product diversification and bank risk over the period of 2002–2008. Our analysis shows clear evidence that the effect of product diversification on bank risk depends highly on the bank's asset size. Specifically, the degree of product diversification is negatively associated with bank risk for small-sized banks. Conversely, the degree of product diversification is positively related to bank risk for large-sized banks. This finding suggests that deregulation encouraging banks to become more involved in non-traditional activities may have an adverse effect on the overall banking system where large-sized banks are playing a significant role in Indonesia.     

Expectation-driven fluctuations and welfare loss under free trade in two-country models

This paper investigates the interlinkage in the business cycles based on expectation-driven fluctuations of large-country economies in a free-trade equilibrium. We consider a two-country, two-good, two-factor general equilibrium model with sector-specific externalities. We show that some country's expectation-driven fluctuations can spread throughout the world once trade opens even if the other country has determinacy under autarky. We thus prove that under free trade, globalization and market integration can have destabilizing effects on a country's competitive equilibrium. Finally, we characterize a configuration in which opening to international trade improves the stationary welfare at the world level but deteriorates the stationary welfare of the country that imports investment goods and exports consumption goods. We conclude that in opposition to the standard belief, international trade might not be beneficial to all trading partners in the long run.     

Modeling Methods for Discrete Choice Analysis

This paper introduces new forms, sampling and estimation approaches fordiscrete choice models. The new models include behavioral specifications oflatent class choice models, multinomial probit, hybrid logit, andnon-parametric methods. Recent contributions also include new specializedchoice based sample designs that permit greater efficiency in datacollection. Finally, the paper describes recent developments in the use ofsimulation methods for model estimation. These developments are designed toallow the applications of discrete choice models to a wider variety ofdiscrete choice problems.     

Corruption,market quality,and entry deterrence in emerging economies

In many emerging economies incumbent firms often use dubious means to deter entry of other firms. We analyze this scenario in a three‐stage game of entry deterrence. The incumbent has incomplete information about the entrant's costs but can increase this cost by resorting to unfair means (e.g. bribing a politician who harms the entrant). We completely characterize the optimal bribe and show that this depends on the “fairness index” and the “differentiation” parameter. We also show that zero bribes need not maximize welfare and market quality. Our results seem to be compatible with anecdotal evidence from emerging economies such as India.     

Setting an exam as an information design problem

We take a teacher's exam-setting task as an information design problem. Specifically, the teacher chooses a conditional distribution of grades given students' types. After observing their exam results, each student updates her belief regarding her type via Bayes' rule and chooses an action. Students' reactions to the same exam result could be different, depending on their heterogeneous prior beliefs. The teacher's objective is to persuade students to take a certain action (e.g., applying to universities), which some may not choose without an exam. The teacher adopts different grade distributions, depending on the teacher's and the students' heterogeneous prior beliefs.     

Ergodic chaos for non‐expansive economic models**

Ergodic chaos is one of the most important concepts in the theory of nonlinear economics. Due to the lack of appropriate sufficient conditions, its reach has not been fully understood. In this paper a sufficient condition for ergodic chaos that covers non‐expansive dynamical systems is examined. By analyzing an endogenous growth model as an example, we discuss the breadth of models in which ergodic chaos can emerge.