Abstract We investigate the effectiveness of five weighting and matching techniques, including propensity score matching (PSM), in improving covariate balance and reducing bias when estimating treatment effects in finite-sample situations through Monte Carlo simulations. King and Nielsen (2019. "Why Propensity Scores Should Not Be Used for Matching." Political Analysis 27 (4): 435–54) argue that pruning observations based on PSM with 1-to-1 greedy matching can worsen rather than improve covariate balance and can increase the bias in the estimates of treatment effects. In our simulations, we observed this phenomenon not only in PSM with 1-to-1 greedy matching but also in other covariate balancing techniques that King and Nielsen (2019. "Why Propensity Scores Should Not Be Used for Matching." Political Analysis 27 (4): 435–54) recommend as better matching methods, i.e. Mahalanobis distance matching (MDM) and coarsened exact matching (CEM). Regardless of the weighting/matching techniques and the data generation processes in this study, our findings indicate that matching and weighting under extreme caliper or cut-point settings does not improve covariate balance. In addition, once a substantially improved covariate balance is achieved in a given sample, the estimated bias tends to worsen slightly as the covariate balance continues to improve. Moreover, our simulation results suggest that OLS with proper covariates reduces selection bias as well as other weighting and matching methods. The results suggest that when analyzing observational data, it is important to avoid looking for a one-size-fits-all estimator and to identify the appropriate nonexperimental estimator carefully for the sample by thoroughly investigating the available data's characteristics.
AbstractThe legal- and law-related-services market is undergoing significant transformation: it is being expanded and becoming highly competitive, affected by the cultural and economic diversification of the current world society. In Japan, another aspect must be considered in order to clearly understand this transformation. In addition to fully qualified legal professionals, or bengoshi, there are many different certified law-related practitioners such as shihō shoshi (judicial scriveners), gyōsei shoshi (administrative scriveners), zeirishi (certified public tax attorneys), benrishi (patent attorneys), sharōshi (labour and social-security attorneys), and others who are also important actors in the legal- and law-related-services market. These certified law-related practitioners take on important roles not only in services related to civil and administrative law, but also in corporate legal matters in the specialized fields of the business activities of small and medium-sized enterprises (SMEs) in Japan. Traditionally, bengoshi and other certified law-related practitioners have shared the legal-services market symbiotically, without competition. However, the situation has gradually changed since around the 1990s. In this paper, the factors of the transformation of the Japanese legal- and law-related-services market are discussed based on empirical data, and the direction of the transformation in this market is indicated.
Abstract I shall examine Yuji Ijiri's influence on practice of accounting in Japan. His ground-breaking contribution to accounting scholarship is all the more important today because he stayed true to his beliefs - his ultimate quest for truth was never compromised by academic fad or fashion. We can and must learn from his legacy and uncompromising values whether we do research in Japan, the United States or elsewhere in the world.