Stochastic frontier models with multiple time-varying individual effects

This paper proposes a flexible time-varying stochastic frontier model. Similarly to Lee and Schmidt [1993, In: Fried H, Lovell CAK, Schmidt S (eds) The measurement of productive efficiency: techniques and applications. Oxford University Press, Oxford], we assume that individual firms’ technical inefficiencies vary over time. However, the model, which we call the “multiple time-varying individual effects” model, is more general in that it allows multiple factors determining firm-specific time-varying technical inefficiencies. This allows the temporal pattern of inefficiency to vary over firms. The number of such factors can be consistently estimated. The model is applied to data on Indonesian rice farms, and the changes in the efficiency rankings of farms over time demonstrate the model’s flexibility.

The framework for factors affecting technology transfer for suppliers and buyers of technology in Korea

To gain an ongoing competitive advantage over other firms, a firm must acquire new technology to differentiate itself from others. This paper explores the technology transfer of technology for information technology equipment and establishes a comprehensive framework for the factors which affect on-time completion of technology transfer for suppliers and buyers according to technology transfer agreements. The technology transfer process is divided into the categorical stages that take place. Then, experts’ opinions are analysed through analytic hierarchy process to determine the influential factors affecting on-time completion of technology transfer. The results of this study should provide a basis for firms to evaluate on-time completion of technology transfer and a reference for the technology transfer process for both suppliers and buyers.     

Optimal Risk Management Using Options

This article provides an analytical solution to the problem of an institution optimally managing the market risk of a given exposure by minimizing its Value-at-Risk using options. The optimal hedge consists of a position in a single option whose strike price is independent of the level of expense the institution is willing to incur for its hedging program. This optimal strike price depends on the distribution of the asset exposure, the horizon of the hedge, and the level of protection desired by the institution. Moreover, the costs associated with a suboptimal choice of exercise price are economically significant.     

The employment dynamics of less‐educated men in the United States: The role of self‐employment

Using data from the 1979 National Longitudinal Survey of Youth, I construct a sample of working‐age males and examine the employment dynamics with a particular focus on the role of self‐employment for less‐educated men in the US. I find that men responding they had at some point been self‐employed tend to spend less time in non‐employment than other less‐educated men. The results from the dynamic multinomial logit model reveal positive aspects of self‐employment by indicating that less‐educated men who were self‐employed in the previous year were less likely to be non‐employed in the future as compared to those who were paid workers in the previous year.     

The role of bank monitoring in corporate governance: Evidence from borrowers’ earnings management behavior

In this paper, we examine the corporate governance role of banks by investigating the effect of bank monitoring on the borrowers’ earnings management behavior. Our analyses suggest that a borrowing firm’s earnings management behavior generally decreases as the strength of bank monitoring increases. The strength of bank monitoring is measured as (1) the magnitude of a bank loan, (2) the reputation (rank) of a lead bank, (3) the length of a bank loan, and (4) the number of lenders. These results imply that bank monitoring plays an important role in the corporate governance of bank-dependent firms. We further examine other bank loan characteristics (collateral, refinancing, loan types, and loan purposes) and their effects on borrowers’ earnings management behavior. Our analyses show that collateral and loan types are significantly associated with borrowers’ earnings management behavior while refinancing and loan purposes have no association.