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This empirical study examines the determinants and impacts of incentive regulations introduced by utility commissions in the late '70s and early '80s. Rewards for generating plant utilization and low heat rates were found to have been introduced in states whose firms exhibited relatively high managerial slack (or relatively higher costs). However, the empirical results did not find that the introduction of specific cost component incentives improved overall operating cost Performance.

The aim of this study is to analyse the relationship between technological change and the educational wage premium in Korea. The main findings are as follows. First, the changes in educational wage premium were mostly affected by shifts in the supply of college graduates from 1983 to 1993 while the changes were affected more by the shifts in labour demand from 1993 to 2000. Second, the educational wage premium is greater in the industries with rapid technological change than in the industries with slower technological change. Third, the educational wage premium associated with the technological change is mostly explained by the returns to worker's unobserved heterogeneities, which is correlated with education, rather than the returns to education per se. Finally, there are some evidences that skill biased technologies are developed as the number of skilled workers are increasing.

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The Breusch-Godfrey's LM test is one of the most popular tests for autocorrelation. However, it has been shown that the LM test may be erroneous when there exist heteroskedastic errors in regression model. Some remedies recently have been proposed by Godfrey and Tremayne (2005) and Shim et al. (2006). This paper suggests wild-bootstrapped variance ratio test for autocorrelation in the presence of heteroskedasticity. We show through a Monte Carlo simulation that our wildbootstrapped VR test has better small sample properties and is robust to the structure of heteroskedasticity.