### Table 1: Quadratic or Nonparametric?

2001

"... In PAGE 8: ... The squared L2 risks of the estimators are computed based on 100 replications. The numbers in the parentheses in Table1 are the corresponding standard errors. Quadratic regression works much better than the nonparametric alternatives for the rst two cases, but becomes much worse for the latter two due to lack of exibility.... ..."

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### Table 4. Empirical Bayes risks

"... In PAGE 21: ... These distribution were chosen so that departures from normality can be tested. The results are illustrated in Table4 . They indicate that our suggested sampling method performs poorly when i really come from a Normal distribution.... In PAGE 30: ... Added in the list is the last estimator, s, which is based on our suggested methodology. Table4 . Empirical Bayes risks.... ..."

### Table 6 Empirical Results

"... In PAGE 15: ...minimized. Estimated break coefficients in standardized units are shown, along with other results, in Table6 . Break terms appear significant under the null in most series, with magnitudes ranging from near 2 to 8.... ..."

### Table 5: Estimates of Fixed Parameters in the Immigrant Model (Estimated via PML and PQML) and in the Nationality Model (Estimated via PML)

"... In PAGE 17: ... Therefore the immigrant and nationality indicators are to be inter- preted relative to the native average. Table5 presents the estimation results of the immigrant model in the rst column. As always in the framework of Poisson regressions, the estimated co- e cients can be interpreted as semi-elasticities.... In PAGE 18: ...15 We are most interested in the set of variable immigrant coe cients which is depicted in Figure 2. The un-dotted bands represent the coe cient estimates corresponding to the PML column of the immigrant model in Table5 . Figure 2 contains three interpretable pieces of information: First, over the entire range of fertile years that are possibly spent in Germany the immigrant e ect is positive.... In PAGE 19: ... As described in the methodology section above we developed an estimator that provides correct estimates if the equidispersion assumption is violated. The results based on this penalized quasi-maximum-likelihood estimation (PQML) are presented in the second coe cient column in Table5 . A comparison of the coe cient estimates yields that they are basically not a ected.... In PAGE 19: ...The con dence bands of the PQML estimation are within those derived by the PML estimation. Finally, Table5 provides some information on starting values as well as the nal estimates of the hyperparameters and shows some characteristics of the algo- rithm. The variability parameter Q is estimated slightly higher using the PQML estimation which corresponds to a slightly steeper decline in the immigrant e ect in Figure 2.... In PAGE 19: ... In step two of our empirical analysis we generalize the immigrant model to allow for nation-speci c fertility adjustments. Given the limited e ect of the underdispersion control for the immigrant model, the estimation results presented in the last column of Table5 are derived using the PML estimation. The estimates 16The equidispersion hypotheses is rejected even at a level of 0.... In PAGE 20: ...spent in Germany, hardly di er from those presented in the rst two columns of Table5 . The magnitudes of the coe cient for age increases and those for female schooling degrees fall slightly.... ..."

### Table 1. Effectiveness of via minimization

"... In PAGE 4: ... The initial layer file which serves as an initial solution to our SA implementation contains the layer assignment for the wires in the original layout. Table1 shows the effectiveness of the SA algorithm. The second column gives the number of wire segments in a circuit.... ..."

### Table 3: Discrete Time Hazard Estimation of Age at First Birth Males with Primary

"... In PAGE 18: ...17 5. Empirical Results In this section we discuss separately the effects of each of the covariates on the age at marriage (Table 2), age at first birth ( Table3 ) and the duration of subsequent birth intervals (Tables 4 and 5). Although we have also estimated the intervals from marriage to a first birth, we do not discuss the results due to some problems.... ..."

### Table 6. Nonparametric estimates using pooled data.

in Nonparametric Estimation Of Labor Supply Functions Generated By Piece Wise Linear Budget Constraints

"... In PAGE 30: ...ncome. Both the elasticity and coefficient estimates show this pattern. The nonparametric elasticity estimate is smaller than the parametric one for the wage rate and larger for nonlabor income. Also, for the nonparametric estimates in the first column of Table6 , the coefficient of w3 is smaller than is the wage coefficient for the parametric estimate in equation (14). As previously noted, the coefficient of w3 gives the wage effect for a linear budget set, because dw is identically zero in that case.... In PAGE 33: ...assuming homoskedasticity leads to a simple Hausman test of the distributional assumption. Comparing the coefficient of w3 in the first column of Table6 with the coefficient of w in the first column of Table 7 gives a Hausman statistic 6.53, that should be a realization of a standard normal distribution.... ..."

### Table 3: Estimates of Variance Minimizing Growth Rate and Risk Return Trade-O , Stochastic Frontier Model from Table 1

1998

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### Table 4: Estimates of Variance Minimizing Growth Rate and Risk Return Trade-O , Random E ects Model from Table 2

1998

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