### Table 5: Regressions of Matching Probabilities (U.S. Academic Market for New PhD Economists) Model (10) Model (11) Model (12) Job Market in January 2000

"... In PAGE 20: ...Table5 gives the estimation results of models (10), (11), and (12), in the same format as that of Table 2. It is clear that the regressions based on model (12) have the best t, followed by model (11).... In PAGE 21: ... These two elds have large numbers of openings while there are no candidates labeled as \any eld quot; or \general economics. quot; Estimation results not reported here (they are available upon request) show virtually identical parameters estimates as well as the goodness-of- t R2 for the results given in Table5 . Thus the fact that there are zero candidates in the thick elds \AF quot; and \A1 quot; does not a ect our estimation results nor the conclusions derived from them.... ..."

### Table 2: Results of the new operator Collection Baseline Classical a - b

"... In PAGE 4: ... Our conclusion is that the classical crossover operator leads to the fact that the individuals resulting from a crossover operation are seldom more performant than their parents, phenomenon also occurring in the linear combinations. To avoid this, we have constructed a new crossover operator, called a - b, using two cross points instead of one and treating differently the two input individuals (more details are given in Vrajitoru 96) (results in Table2 presents the results of the new operator (8 individuals and 10 generations) compared to the classical one. Table 2: Results of the new operator Collection Baseline Classical a - b... ..."

### Table 2: The classical and the new formulations used with the second data set.

### Table 1: The syntax of ClassicJavagc

"... In PAGE 3: ... For those unfamiliar with ClassicJava, its typing and reduction rules are included in the Appendix. The set of programs in Classic- Javagc is de ned by the syntax in Table1 . A program P is a set of class and interface de nitions followed by an expression.... ..."

### Table 1: The classical Krall polynomials [19], [20]

"... In PAGE 1: ...here ai(x) are polynomials of degree, at most, i. In his paper H. L. Krall obtained three new fami- lies of orthogonal polynomials. More exactly, the so-called classical-type orthogonal polynomials (see Table1 ). Another approach to this subject was presented in [19].... ..."

### Table D.15: User Ratings of Economist Recommendations

### Table 3.1. Perturbation Theorems for Eigenvalues Classical Bounds New Relative Bounds

1998

Cited by 18

### Table 3.1 (continued). Perturbation Theorems for Singular Values Classical Bounds New Relative Bounds

1998

Cited by 18

### Table 3.1 (continued). A Bauer-Fike Type Theorem Classical Bounds New Relative Bounds

1998

Cited by 18

### Table 3.1 (continued). Perturbation Theorems for Graded Matrices Classical Bounds New Relative Bounds

1998

Cited by 18