Effects of cohort size on college premium: Evidence from China's higher education expansion

In this paper, we document the lesser-known heterogeneous trends of college/non-college earnings premium across age groups from 1995 to 2013 in China. Specifically, the college premium in 2013 for the younger group (age 25–34) was about 30 percentage points, similar to the level in 1995, while the college premium in 2013 for the older group (age 45–54) increased to 50 percentage points, nearly double that of 1995. To attribute these divergent trends of the college premium to the changes in the relative size of college workers, we use the model by Card and Lemieux (2001), which incorporates imperfect substitution between similarly educated workers in different age cohorts. Due to the distinctions of these trends in China, our identification is free of the overestimation issue that the existing studies suffer. Our results are similar to those in the U.S., U.K., Canada, and Japan. Holding the age cohort and survey year constant, a one unit increase in log relative size of college workers is associated with about 10 percentage points decrease in college/non-college premium and about 18 percentage points decrease in college/high school premium. We further find that the negative effect is much more substantial among the new entrants (age 25–29) than experienced workers (age 30–54). By this pattern, we demonstrate that the new labor market entrants are more sensitive to their own cohort size and argue that the confounding ability composition effect should not be a serious issue.     

Sentiment-scaled CAPM and market mispricing

This study explores the conditional version of the capital asset pricing model on sentiment to provide a behavioural intuition behind the value premium and market mispricing. We find betas (β) and the market risk premium to vary over time across different sentiment indices and portfolios. More importantly, the state β derived from this sentiment-scaled model provides a behavioural explanation of the value premium and a set of anomalies driven by mispricing. Different from the static β–return relation that gives a flat security market line, we document upward security market lines when plotting portfolio returns against their state βs and portfolios with higher state βs earn higher returns.     

Knowledge sharing in hospitality organizations: A meta-analysis

Knowledge sharing plays a crucial role in how hospitality organizations gain a sustainable competitive advantage. Using meta-analytic examinations based on 275 relationships from 54 primary studies, the current study proposes an integrative framework at both an employee and organizational level. Accordingly, this study comprehensively investigates the relations of knowledge sharing with its antecedents and consequences at both levels by synthesizing effect size estimates. Also, this study supplementarily conducts full-information meta-analytic structural equation modeling to examine the causality of proposed relationships. This study further examines the moderating roles of certain sub-dimensions of knowledge sharing and regions in each relationship of knowledge sharing with its predictors and outcomes. Based on findings derived from robust meta-analytic procedures, the authors identify several important patterns of findings. This study provides an advanced understanding of the nomological network of knowledge sharing in the hospitality organizational context.     

Effect of Participation of Foreign Migrant Workers in Labour Market on Native Workers: Evidence Based on Change Noticed in College Premium in Taiwan ROC

Using Manpower Utilization Survey data for 14 years from 1999 to 2012, we applied the DDDD (Differences–in–differences–in–differences–in–differences) estimation method to check if rising presence of foreign migrant workers in Taiwan’s domestic labour market had any impact on employment opportunities and wages earned by native Taiwanese workers over time. We used the data capturing the effect of college premium (viz., the additional cost to be borne for getting admission into college) paid by the natives on domestic wage rate during this period. College premium is an indicator of demand and supply for educated labour and we intend to see if the premium has grown with time when influx of foreign migrant workers has grown too. From the results, two interesting phenomena caught our attention. First, labour policy adopted by the Government in Taiwan has played an important role in increasing the influx of foreign workers into domestic labour market, which resulted in significant change in college premium paid by the natives. And, this effect lasted even when instances of strikes and reported cases of labour disputes were relatively higher. Second, the effect of the policy has been varying across genders as our data shows that policy on employment of foreign workers has affected job opportunities of native men workers more than it affected job opportunities of their female counterpart.     

An application of two-stage quantile regression to insurance ratemaking

Two-part models based on generalized linear models are widely used in insurance rate-making for predicting the expected loss. This paper explores an alternative method based on quantile regression which provides more information about the loss distribution and can be also used for insurance underwriting. Quantile regression allows estimating the aggregate claim cost quantiles of a policy given a number of covariates. To do so, a first stage is required, which involves fitting a logistic regression to estimate, for every policy, the probability of submitting at least one claim. The proposed methodology is illustrated using a portfolio of car insurance policies. This application shows that the results of the quantile regression are highly dependent on the claim probability estimates. The paper also examines an application of quantile regression to premium safety loading calculation, the so-called Quantile Premium Principle (QPP). We propose a premium calculation based on quantile regression which inherits the good properties of the quantiles. Using the same insurance portfolio data-set, we find that the QPP captures the riskiness of the policies better than the expected value premium principle.     

The aesthetic fidelity effect

Product aesthetics is a powerful means for achieving competitive advantage. Yet most studies to date have focused on the role of aesthetics in shaping pre-purchase preferences and have failed to consider how product aesthetics affects post-purchase processes and consumers' usage behavior. This research focuses on the relationship between aesthetics and usage behavior in the context of durable products. Studies 1A to 1C provide evidence of a positive effect of product aesthetics on usage intensity using market data from the car and the fashion industries. Study 2 corroborates these findings and shows that the more intensive use of highly aesthetic products may lead to the acquisition of product-specific usage skills that form the basis for a cognitive lock-in. Hence, consumers are less likely to switch away from products with appealing designs, an effect that is labeled as the ‘aesthetic fidelity’ effect. Study 3 addresses an alternative explanation for the ‘aesthetic fidelity effect’ based on mood and motivation but finds that the ‘aesthetic fidelity’ effect is indeed determined by usage intensity. Finally, Study 4 identifies a boundary condition of the positive effect of product aesthetics on product usage, showing that it is limited to durable products. In sum, this research demonstrates that the effects of product aesthetics extend beyond the pre-consumption stage and have an enduring impact on people's consumption experiences.     

Predicting the equity market with option-implied variables

We comprehensively analyze the predictive power of several option-implied variables for monthly S&P 500 excess returns and realized variance. The correlation risk premium (CRP) and the variance risk premium (VRP) emerge as strong predictors of both excess returns and realized variance. This is true both in- and out-of-sample. Our results also reveal that statistical evidence of predictability does not necessarily lead to economic gains. However, a timing strategy based on the CRP leads to utility gains of more than 5.03% per annum. Forecast combinations provide stable forecasts for both excess returns and realized variance, and add economic value.