Tourism's contribution to the Yugoslav economy

Tourism is an important sector of the post-industrial economies of the developed nations. This article concentrates on the contribution of tourism to the balance of payments in Yugoslavia. Current methods of assessing the value of tourism transactions are inadequate and make international comparisons impossible. The complexity involved in defining ‘tourism’ has led to the accumulation of meaningless data. The IMF's standard balance-of-payments model is described, and the ways in which Yugoslavia's measurements of tourism income and expenditure could be standardized according to IMF recommendations and thus become use- ful in economic policy formulation.     

On the consumption insurance effects of long-term care insurance in Japan: Evidence from micro-level household data

Using micro-level household data in the 2001 Comprehensive Survey of the Living Conditions of the People on Health and Welfare compiled by the Japanese Ministry of Health, Labor and Welfare, this paper examines how having a household member in need of long-term nursing care can result in welfare losses measured in terms of consumption. In so doing, this study evaluates the role of the public long-term care insurance scheme implemented in Japan in April 2000. The results indicate that when households include a disabled family member, household consumption net of long-term care costs do not decrease as much as before the introduction of long-term care insurance. Further, when compared with the surveys conducted in 1998, the adverse effects on consumption net of long-term care costs have become much weaker. These findings suggest that the introduction of social insurance in 2000 helped Japanese households to reduce the welfare losses associated with a disabled family member.     

Partial Communication in a Voluntary‐Contribution‐Mechanism Experiment

This paper presents results of a voluntary‐contribution‐mechanism experiment with partial communication. It was found that the trend of mean investments depended on whether a communication network was connected and on how fast all subjects could share information. When each subject could communicate with two other subjects and the network was connected, the mean investment increased from 33 percent to 58 percent of the optimal investment. On the other hand, when each subject could communicate with only one other subject and the network was not connected, the mean investment decreased from 34 percent to 19 percent of the optimal investment.     

Residential Mobility Decisions in Japan: Effects of Housing Equity Constraints and Income Shocks under the Recourse Loan System

This paper draws on six waves of Japanese household longitudinal data (Keio Household Panel Survey, KHPS) and estimates a conditional fixed effects logit model to investigate the effects of housing equity constraints and income shocks on own-to-own residential moves in Japan. By looking at contemporaneous extended Loan-to-Value (ELTV) and extended Debt-to-Income (EDTI) ratios under the recourse loan system, we examine whether housing equity constraints and negative income shocks have any impact on own-to-own residential moves. Taking account of the specific nature of the recourse loan system in Japan, we further investigate whether these effects are different between positive and negative equity households. The estimation results show that housing equity constraints and negative income shocks significantly deter own-to-own residential moves for positive equity households.     

Detecting motives for cooperation in public goods experiments

This study clarifies the types of motives that are important as a source of cooperation in a linear public goods experiment. Our experimental design separates contributions into those due to confusion, one-shot motives (which includes altruism, warm-glow, inequality aversion, and conditional cooperation), and multi-round motives (which includes a strategic motive under incomplete information, a failure of backward induction, and reciprocity). The experiment reveals that multi-round motives plays an important role in driving cooperative behavior. Confusion and one-shot motives play a minor role.     

Fundamental impossibility theorems on voluntary participation in the provision of non-excludable public goods

Groves and Ledyard (Econometrica 45:783–809, 1977) constructed a mechanism attaining Pareto efficient allocations in the presence of public goods. After this path-breaking paper, many mechanisms have been proposed to attain desirable allocations with public goods. Thus, economists have thought that the free-rider problem is solved, in theory. Our view to this problem is not so optimistic. Rather, we propose fundamental impossibility theorems with public goods. In the previous mechanism design, it was implicitly assumed that every agent must participate in the mechanism that the designer provides. This approach neglects one of the basic features of public goods: non-excludability. We explicitly incorporate non-excludability and then show that it is impossible to construct a mechanism in which every agent has an incentive to participate.     

REDISTRIBUTION AND FISCAL UNCERTAINTY SHOCKS

This article studies the impact of fiscal uncertainty shocks. In micro data, noncapital holders reduce consumption persistently in response to an increase in fiscal uncertainty whereas capital holders do not. Motivated by this evidence, I introduce limited capital market participation and show that it magnifies the fall in economic activity due to a fiscal uncertainty shock and induces macroeconomic comovement. This is because the limited participation model captures individual uncertainty about redistribution. When agents are ambiguity averse, this uncertainty about redistribution has first-order effects. As a result, the model successfully matches the empirical responses of macro and household variables.     

An Algorithm of Recommending Apposite ID Photos

This article proposes an algorithm to recommend apposite ID photos for users by judging the photo of which the facial expression is apposite or not as the ID photo. Microsoft’s Kinect sensor is used for taking photos. Parts of the face, such as eyes, nose, and mouth, are analyzed as explanatory variables for judging face expression. Some body coordinate information such as head and shoulders is used to trim the photos. Neural networks and support vector machines are employed and compared to our proposed method. To achieve accurate results, ten examinees including specialized staff are selected for taking ID photo used for training models. A series of experiments are conducted to examine the validity. As a result, the accuracy of neural networks is better than that of the support vector machine. Furthermore, we analyze and discuss the difference between system results and specialized staffs’ opinions.