Some statistical and DEA evaluations of relative efficiencies of public and private institutions of higher learning

This paper uses the Charnes, Cooper and Rhodes (CCR) ratio form of Data Envelopment Analysis (DEA) (1) to examine how DEA can be utilized in analyzing different aspects of production behavior of institutions of higher learning (IHLs) as an alternative to more traditional approaches such as econometric-regression models, and (2) to compare “specifically” relative efficiencies of public and private doctoral-granting universities in the U.S. and to analyze technical and scale efficiencies of those universities. The separation of doctoral-granting universities into universities with and without medical colleges represents a departure from preceding studies. This division proved very important in uncovering substantial differences in behavior between the two groups even when using the “statistical averaging” approaches that were customary in previous studies. For both groups, public universities proved more efficient than private universities when managerial and program inefficiencies are present in the data. When managerial inefficiencies are disentangled from the data and medical schools are not present, private universities have more efficient programs. However, their managers are less efficient users of program opportunities than are managers in public universities. Another portion of the current study dealt with returns-to-scale possibilities. These differed markedly (even on average) between IHLs with and without medical schools. Moreover, analyses by DEA showed marked ranges of variation for returns-to-scale possibilities for individual IHLs within each group. These possibilities have generally been concealed by the statistical averaging utilized in previous econometric studies. Further, their identification is beyond the ability of the usual types of one-at-a-time ratio and trend analyses.     

The Effect of Cultural Distance on Tourism: A Study of International Visitors to Hong Kong

This study focuses on the impact of cultural distance on the behavior of international pleasure tourists who visited Hong Kong. It analyzes data drawn from the Hong Kong Tourism Board's Visitor Profile Report, and tests whether cultural distance has a similar impact on behavior as noted in previous studies examining physical distance. The study concludes that cultural distance exerts a modest impact on such attributes as demand, travel party composition, trip profile, behaviors, expenditure and satisfaction.     

Exchange rate pass-through to domestic producer prices: Evidence from Korean firm-level pricing survey

This note studies exchange rate pass-through to the prices of domestically produced goods, exploring the firm-level pricing survey conducted by the Bank of Korea. The data reveal the imported inputs channel of, as well as nonlinear and asymmetric, exchange rate-pass-through.     

An analysis of the evolution of global financial network of the coordinated portfolio investment survey

In this study, we construct a directional global financial network using portfolio investment data from more than 200 countries during the first two decades of the 21st century and analyze the properties of the network. Through macroscopic analysis, we show that the network became denser and could be divided into central and peripheral groups. Microscopic analysis shows that, in addition to well-known financial-central countries, relatively less well-known countries played important roles in the global financial network. Further, each country's per capita GDP is positively correlated with its centrality in the network, and the correlation is stronger when measured with inbound investments than when measured with outbound investments.     

The role of observed and unobserved heterogeneity in the duration of unemployment

This paper studies the degree to which observable and unobservable worker characteristics account for the variation in the aggregate duration of unemployment. I model the distribution of unobserved worker heterogeneity as time varying to capture the interaction of latent attributes with changes in labor-market conditions. Unobserved heterogeneity is the main explanation for the duration dependence of unemployment hazards. Both cyclical and low-frequency variations in the mean duration of unemployment are mainly driven by one subgroup: workers who, for unobserved reasons, stay unemployed for a long time. In contrast, changes in the composition of observable characteristics of workers have negligible effects.