### Table 12. Two-Stage Probit Regressions on Participation and Trust

"... In PAGE 31: ... Hence it seems that there is a significant simultaneity issue affecting these two models, but the correlation between participation and trust mainly affects the precision or efficiency of the estimates, rather than their signs. Table12 presents the results from the TS-Probit models estimated separately. The income squared and wealth squared variables were omitted due to this author apos;s inability to estimate models with more than one endogenous variable.... In PAGE 31: ... The income squared and wealth squared variables were omitted due to this author apos;s inability to estimate models with more than one endogenous variable. Panel A in Table12 shows the results from the first-stage regressions where the dependent variables were the log of household income (for the participation model) and the household wealth index (for the trust model). The results show that the instruments worked quite well as determinants of both endogenous variables.... ..."

### Table 1: Two-Way Typology of Ways to Manage Uncertainty in Engineering Systems Design

"... In PAGE 12: ... Two-Way Table of Responses: Combining the possible time scales and modes of response leads to the two-way typology for managing uncertainty in Engineering Systems. Table1 gives a generic version of the concept, and Table 2 provides a concrete example of its application. These tables illustrate the way that the focus on the management of uncertainty reformulates and expands the approach to engineering planning, design and implementation.... In PAGE 12: ... These tables illustrate the way that the focus on the management of uncertainty reformulates and expands the approach to engineering planning, design and implementation. Taking the perspective of Engineering Systems, the entire Table1 constitutes areas of research and practice. This view contrasts with the traditional concept of engineering that might be said to ... ..."

### Table 5 Two-way ANOVA table

2000

"... In PAGE 14: ...10 level but not at 0.05 level, with no system order interaction or order eC128ect for MIR ( Table5 ). There is some system order interaction for MIP, though MIP diC128erence between systems is not significant (Table 5).... In PAGE 14: ...nd df system to be significant at 0.10 level but not at 0.05 level, with no system order interaction or order eC128ect for MIR (Table 5). There is some system order interaction for MIP, though MIP diC128erence between systems is not significant ( Table5 ). These ANOVA tables, when considered in the context of system-order performance comparisons of Tables 3 and 4, seem to indicate that both systems performed comparably overall despite the markedly poor performance by the first used pf system.... ..."

### Table 2: A Two-Way Typology of Ways to Manage Uncertainty in Engineering Systems Design for Manufacturing Systems (courtesy of Daniel Frey)

"... In PAGE 12: ... Two-Way Table of Responses: Combining the possible time scales and modes of response leads to the two-way typology for managing uncertainty in Engineering Systems. Table 1 gives a generic version of the concept, and Table2 provides a concrete example of its application. These tables illustrate the way that the focus on the management of uncertainty reformulates and expands the approach to engineering planning, design and implementation.... ..."

### Table 3 Results of two-stage least squares estimation of system of equations relating total compensation to RET and PeerRET

### Table 2 Results of two-stage least squares estimation of system of equations relating total compensation to ROA and PeerROA

### Table 8: Neighbor Regressions: Two-stage least-squares Dependent variable is growth of per capita real GDP (GYP

"... In PAGE 18: ...ide variables have no direct effect on growth (i.e. other than through the growth contagion channel), which will allow us to test our contagion hypothesis against the policy spillovers hypothesis. Table8 shows two-stage least squares with the neighbors apos; weighted average growth rate included in the core regression that excludes the government surplus. We use the neighbors apos; weighted average right-hand side variables as instruments.... In PAGE 18: ... A test of the overidentifying restrictions that all of the neighbors apos; right-hand side variables have zero direct effect on the country apos;s own growth rate once its neighbors apos; growth is considered fails to reject this set of restrictions. The test statistic is TR2 where T is the number of observations and the R2 is from the regression of the residuals in the regression shown in Table8 on the set of all exogenous variables, 22 With SURPLUS and the neighbor apos;s growth rate both included in the core regression, the Africa dummy remains insignificant, but P-value on the neighbors apos; growth rate falls to 0.06 and the coefficient is reduced to 0.... In PAGE 20: ... Even policies that are bad for growth could be imitated by neighbors if they are demonstrated to be good for creating rent-seeking opportunities or some other non-growth objective that is desired by policy-making elites. We find that our observable policy indicators and the other right-hand side variables from Table8 are indeed highly correlated across neighbors (Table 9). This gives a hint that unobservable government or private sector behavior contained in the residual may be correlated as well.... ..."

### Table 1: Design specifications for two-stage op-amp.

1998

"... In PAGE 5: ... The load capacitance is 5pF and the supply voltages are Vdd = 5V and Vss = 0V. A simple design example Table1 describes the sample design problem, and shows the perfor- mance of the design obtained by GPCAD using GP1 models, and the simulated performance with BSIM1 models (HSPICE level 13). The objective was to maximize the unity gain bandwidth subject to the other given constraints.... ..."

Cited by 19

### Table 1: Design specifications for two-stage op-amp.

"... In PAGE 5: ... The load capacitance is 5pF and the supply voltages are V dd =5VandV ss =0V. A simple design example Table1 describes the sample design problem, and shows the perfor- mance of the design obtained by GPCAD using GP1 models, and the simulated performance with BSIM1 models (HSPICE level 13). The objective was to maximize the unity gain bandwidth subject to the other given constraints.... ..."

### Table 3: Two-Stage Least-Squares Estimates

"... In PAGE 9: ... We next conduct a 2SLS analysis in which LNDIST, INITIAL, EDU, REF, LPRIV and SPRIV are used as instruments for NEWENT in a first-stage regression, and the fitted value of NEWENT is combined with the remaining variables (IO, DEFENSE and PRICE) in a second- stage growth regression. The estimates we obtain are reported in Table3 . Consider first the NEWENT regression.... In PAGE 9: ... The coefficients on LNDIST and SPRIV are statistically insignificant, but the remaining variables each appear to have a significant relationship with NEWENT, both statistically (at the 5% level) and quantitatively. To characterize quantitative significance, we report the impact on NEWENT of a one-standard-deviation increase in each variable in the last column of Table3 . For example, a one-standard-deviation increase in initial income (representing an 79% increase in the purchasing power of money income per capita in 1993:IV, as reported in the sixth column of Table 3) corresponds with an additional 0.... In PAGE 9: ... To characterize quantitative significance, we report the impact on NEWENT of a one-standard-deviation increase in each variable in the last column of Table 3. For example, a one-standard-deviation increase in initial income (representing an 79% increase in the purchasing power of money income per capita in 1993:IV, as reported in the sixth column of Table3 ) corresponds with an additional 0.549 additional new enterprises per 1000 inhabitants on average across regions.... In PAGE 10: ... A similar observation holds for the reformist voting proxy. The 2SLS estimates reported in Table3 are of course based on identifying restrictions used to select instruments for NEWENT in the first-stage regression. The restrictions involve the exclusion of the variables used as instruments from the second-stage growth regression.... In PAGE 10: ...586), while the quantitative significance of the remaining variables is negligible by comparison. Thus there is reasonable empirical support for the identifying assumptions upon which the results of Table3 are based. We conclude our analysis with an assessment of the influence of the outlier regions.... ..."