Dynamic effects of changes to Japanese immigration policy

This paper uses a single-sector dynamic stochastic general equilibrium model with heterogeneous households to analyse Japanese immigration policy. We examine the effects on output, consumption, factor prices, and utility. We do this for both steady states and transition paths. We find that: (a) aggregate output, investment, and consumption in Japan are likely to rise with any sort of loosening of immigration restrictions; (b) allowing more skilled immigration generates greater aggregate changes; (c) raising skilled immigration relative to unskilled immigration drives down skilled workers’ wages, consumption, and utility, while cutting the skilled to unskilled immigration share has the opposite effects; and (d) such immigration policy changes have small effects compared to those that occur naturally due to business cycle fluctuations     

Detecting Financial Collapse and Ballooning Sovereign Risk

This paper proposes a new model for capturing discontinuities in the underlying financial environment that can lead to abrupt falls, but not necessarily sustained monotonic falls, in asset prices. This notion of price dynamics is consistent with existing understanding of market crashes, which allows for a mix of market responses that are not universally negative. The model may be interpreted as a martingale composed with a randomized drift process that is designed to capture various asymmetric drivers of market sentiment. In particular, the model is capable of generating realistic patterns of price meltdowns and bond yield inflations that constitute major market reversals while not necessarily being always monotonic in form. The recursive and moving window methods developed in Phillips, Shi and Yu (2015a,b; PSY), which were designed to detect exuberance in financial and economic data, are shown to have detective capacity for such meltdowns and expansions. This characteristic of the PSY tests has been noted in earlier empirical studies by the present authors and other researchers but no analytic reasoning has yet been given to explain why methods intended to capture the expansionary phase of a bubble may also detect abrupt and broadly sustained collapses. The model and asymptotic theory developed in the present paper together explain this property of the PSY procedures. The methods are applied to analyse S&P 500 stock prices and sovereign risk in European Union countries over 2001–16 using government bond yields and credit default swap (CDS) premia. A pseudo real‐time empirical analysis of these data shows the effectiveness of the monitoring strategy in capturing key events and turning points in market risk assessment.     

Examining Social Networking Sites as a Survey Distribution Channel for Hospitality and Tourism Research

As businesses use social networking sites (SNS) to connect with consumers, SNS can be viewed as another way to collect users’ information. Since many consumers spend significant amounts of time connecting with others on SNS, it would be a suitable channel to gather information from the captured audience. This study compares survey responses from the traditional paper-and-pencil survey and online survey collected through an SNS recruitment method. The test results showed that there are no statistically significant differences in model fits from the two data collection methods. Thus, this study concludes that SNS holds great potential to serve as a survey distribution channel for collecting meaningful data. More in-depth empirical studies are needed to validate the method before using it for a wider range of research.     

Instructional Objectives and Economic Understanding

Much has been written in recent years about the use of instructional objectives, and particularly about the so-called behaviorally stated objectives. Too often, claims made for the usefulness of such objectives are not supported by research. In the study reported here, Dr. Phillips attempted to measure the impact of instructional objectives in a controlled experiment. Unfortunately, contaminating factors prevented the drawing of firm conclusions, but Phillips' work points the way for further study.     

Application of Risk Theory to Interpretation of Stochastic Cash-Flow-Testing Results

Abstract

In this paper we consider the Sparre Andersen insurance risk model. Three cases are discussed: the ordinary renewal risk process, stationary renewal risk process, and s-delayed renewal risk process. In the first part of the paper we study the joint distribution of surplus immediately before and at ruin under the renewal insurance risk model. By constructing an exponential martingale, we obtain Lundberg-type upper bounds for the joint distribution. Consequently we obtain bounds for the distribution of the deficit at ruin and ruin probability. In the second part of the paper, we consider the special case of phase-type claims and rederive the closed-form expression for the distribution of the severity of ruin, obtained by Drekic et al. (2003, 2004). Finally, we present some numerical results to illustrate the tightness of the bounds obtained in this paper.