Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy

This paper analyzes the time-varying parameter vector autoregressive (TVP–VAR) model for the Japanese economy and monetary policy. The parameters are allowed to follow a random walk process and estimated using the Markov chain Monte Carlo method. The empirical result reveals the time-varying structure of the Japanese economy and monetary policy during the period from 1981 to 2008. The marginal likelihoods of the TVP–VAR model and other fixed parameter VAR models are estimated for model comparison. The estimated marginal likelihoods indicate that the TVP–VAR model best fits the Japanese economic data.     

Cumulative offer process is order-independent

This note shows that in the matching-with contracts model, the outcome of the cumulative offer process is order-independent if every hospital has a choice function that satisfies the bilateral substitutability condition and the irrelevance of rejected contracts condition.     

Continuity and Change in the Employment and Promotion of Japanese White-Collar Employees: The Case of the House of Mitsui

Lifetime employment is one of the most conspicuous featuresof contemporary large Japanese corporations. The employmentpractices of merchant houses in the Edo period (1603–1868)are sometimes proposed as one origin of such lifetime commitment.Little attention has been paid, however, to the connectionsbetween long-term employment in the Edo period and its practicein the twentieth century. This article examines how Edo employmentpractices were adapted to the environment of the early twentiethcentury within a new context of modern educational institutionsand the need for professional managers.     

Regime-switching approach to monetary policy effects

Even though monetary policy has kept interest rates at historically low levels, the Japanese economy has experienced long lasting recessions since the 1990s. In this paper, Japanese data are employed to conduct an empirical analysis of changes in the effects of monetary policy on the real economy. It is found that monetary policy effects vary depending on the phase of the business cycle and the lending attitudes diffusion indices. More precisely, policy effects are larger in recession but diminish in extreme recession, and monetary policy is more effective when lenders’ attitudes are severe but less effective when they are excessively severe.     

The Effects of Technology Changes on Sectoral Trade Patterns*

We develop a model in which sectoral trade patterns depend on both the technology common to all sectors and the technologies specific to each sector. Changes in the common technology level affect sectoral trade patterns through their impact on intertemporal optimization behavior, while changes in the sector‐specific technology levels affect sectoral trade patterns by influencing comparative advantage. The model shows: (1) unexpected increases in the common technology level worsen sectoral trade balances, but expected increases in the common technology level improve them; and (2) given other countries’ sectoral technology levels, an increase in a sector‐specific technology level relative to other sectors improves sectoral trade balances through its operation on comparative advantage. Using Japanese data, the empirical results reported in this paper support the model’s predictions.     

Impaired bank health and default risk

Empirical studies in corporate finance have long been focused on the role of banks in reducing the costs of financial distress. The environment and events in Japan provide a “natural experiment” that allows such empirical studies. The number of bankruptcies steadily increased throughout the 1990s, and peaked in 2000. During this period, Japan's banking sector, in contrast, faced considerable problems regarding the disposal of their bad loans. The purpose of this paper is to investigate how various measures of bank health and how defaults of major trading partners affected the probability of bankruptcy among medium-size firms in Japan. Using probit models, we examine the causes of bankruptcy for unlisted Japanese companies in the late 1990s and early 2000s. We find that several measures of bank-specific financial health have had significant impacts on a borrower's probability of bankruptcy, even when observable characteristics relating to these borrower's financial variables are controlled. In particular, a close bank–firm relationship—which usually reduces the probability of bankruptcy—exacerbates the impacts of a financial crisis, which substantially damages other bank health measures as well.