Suchergebnisse

Abstract
This paper analyses the personnel records of a Taiwanese auto dealer employing three distinct internal labor markets (ILMs), adding new evidence that builds upon recent empirical and theoretical works on ILMs. We show that the public learning model proposed by Farber and Gibbons (1996) is not supported in general by our data because the behaviors of empirical wage residuals covariance matrix contradict the martingale predictions derived from the their model. However, "public learning" may not be unrealistic once individual specific learning speed is introduced. Furthermore, we find that the positive effects of levels, on both salary and bonus equations, are smaller under a fixed effects model than under an OLS (combined) model. However, part of the wage variations is contributed by individual heterogeneity rather than the hierarchy itself. Evidence also shows that education plays an important role in the determination of levels.

We develop a simple algorithm for detecting exam cheating between students who copy off one another's exams. When this algorithm is applied to exams in a general science course at a top university, we find strong evidence of cheating by at least 10% of the students. Students studying together cannot explain our findings. Matching incorrect answers proves to be a stronger indicator of cheating than matching correct answers. When seating locations are randomly assigned, and monitoring is increased, cheating virtually disappears.

The 27th Annual Conference on Pacific Basin Finance, Economics, Accounting, and Management was held at National Taiwan University, Taiwan on June 15th and 16th, 2019. The first conference was held at Rutgers University in 1993. Since then, the conference has been held in Hong Kong (1994, 1998), Taipei (1995, 1999. 2003, 2006, 2011, 2016), Bangkok (2000, 2004, 2009), Rutgers (1996, 2001, 2005, 2012, 2018), Singapore (1997, 2002, 2017), Vietnam (2007, 2015), Australia (2008, 2013), China (2010), and Japan (2014). The program co-directors of the conference were Cheng-Few Lee, Rutgers University, USA, and Ming-Jen Lin, National Taiwan University, Taiwan.

The "missing women" phenomenon in many Asian countries has previously been regarded as the result of son preference. However, some studies have argued half of the missing women can be explained by infection with Hepatitis B virus (HBV). We demonstrate that the probability of having a male birth is only slightly higher for HBV mothers than for mothers without HBV. The sex ratio at birth rises for the higher birth order and that in families where the first two children are female. Our findings suggest that HBV status has little impact on the missing women phenomenon. (JEL I12, J16)