### Table 8. Scott-Strachey Semantics

2001

"... In PAGE 13: ... Many standard techniques for representing programming concepts as pure math- ematical functions have been established. For instance, sequencing may be rep- resented either by composition of strict functions, or by use of continuations; the latter are illustrated in Table8 . The denotational description of nondeter- minism, concurrency, and interleaving requires the use of power domains (and a significant amount of extra notation).... ..."

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### Table 9: Estimated Cobb-Douglas Production Function, with employee ownership.

"... In PAGE 12: ...ecreased in 1997 by 0.13%. Again, this most likely reflects the 1997 financial and foreign exchange market crises. Table9 reports Cobb-Douglas regression results, including employee-ownership shares,... ..."

### Table 11: Estimated Cobb-Douglas Production Function, with employee ownership

"... In PAGE 15: ...ero, which indicates that the gross value added decreased in 1997 by 0.13%. This most likely reflects the 1997 financial and foreign exchange market crises. Table11 reports Cobb-Douglas regression results including employee-ownership shares. The estimated factor shares are not much different from those in Table 10.... ..."

### Table 6: Cobb-Douglas Estimate of Total Cost for Different Commodities

### Table 13: Estimated Cobb-Douglas Production Function, Including EO, Dependent variable:

"... In PAGE 16: ... Similar results are found when EO shares are included in the Cobb-Douglas production function. Table13 also reports estimated coefficients of the capital-labor ratio and EO shares. For all cases, capital per worker is positively related to labor productivity measured by value added per worker.... ..."

### Table 10: Estimated Standard Cobb-Douglas Production Function, without employee ownership

"... In PAGE 14: ... The baseline model is: (1) ln(VA) = a0 +a1*ln(Labor) + a2*ln(Capital) + a3* EO + + a4*Year97 +B*(Industry-Dummies) + u where VA=gross value added, Labor=number of workers, Capital= total fixed assets, EO = percent of employee owned shares in total issued stock, Year97= 1 for 1997 and 0 otherwise, and Industry Dummies represents a vector of dummy variables by industry (as listed in Tables 6-9). Table10 shows the estimated Cobb-Douglas production function for listed manufacturing companies without considering any other ownership effects. While both... In PAGE 15: ... Table 11 reports Cobb-Douglas regression results including employee-ownership shares. The estimated factor shares are not much different from those in Table10 . It is striking that despite the weaker incentive features of Korean ESOPs U.... ..."

### Table 8: Estimated Standard Cobb-Douglas Production Function, without employee ownership.

"... In PAGE 12: ... The baseline model is: (1) ln(VA) = a0 +a1*ln(Labor) + a2*ln(Capital) + a3* EO + + a4*Year97 +B*(Industry-Dummies) + u where VA=gross value added, Labor=number of workers, Capital= total fixed assets, EO = percent of employee owned shares in total issued stock, Year97= 1 for 1997 and 0 for 1996, and Industry Dummies represents a vector of dummy variables by industry (as listed in Tables 6-9). Table8 shows the estimated Cobb-Douglas production function for listed manufacturing companies without considering any other ownership effects. While both production factors have positive effects on value added at the 1% significance level, there is an unusually high factor share for capital (and low factor share for labor).... ..."

### Table 6.1: Results of two problems on a CRAY-J90 using MA42. Times reported are in seconds. Two problems were run by Dr. Jennifer Scott on a single processor of a Cray-J90 using the Harwell frontal factorization code MA42. The matrix values were generated randomly. (The orderings used were obtained earlier than the results reported in Appendix A; however, these results su ce to show the general trends.) The results in Table 6.1 show a general correlation between mean square wavefronts (proportional to ops) and factorization times. The spectral ordering enables the factorization to be computed about 5:2 times faster than the Sloan ordering for the BCSSTK30 problem; this ratio is 1:8 for the SKIRT problem. The hybrid does not improve factorization times over the spectral ordering for these problems.

1997

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### Table 2 Parameters of Four Computational Economies (Cobb-Douglas Utility Function)

2004

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