### Table 5. Bayesian estimates for equation (1) are the posterior means for the esti- mated quantities. Quantile-based, empirical credible intervals of 95% are presented. The mean posterior log likelihood is -30.139.

"... In PAGE 9: ...1950, 1955, . . . , 1995, 2000}. Table5 provides the big table of numbers for the Bayesian estima- tion of the hierarchical, bilinear random effects model for the year 2000, as an illustration of our basic results.12 It is important to note that the 95% empirical credible limits for all the dyadic variables representing the democratic peace argument include zero.... In PAGE 11: ... Posterior distributions of the (scaled) estimated coefficients for imports in each of eleven years are displayed as boxplots. 1950 1960 1970 1980 1990 2000 Imports The results in Table5 also demonstrate that the higher-order dependencies posited are rampant in the data. These dependencies are represented, in part, by the common sender variance, the sender-receiver covariance, and the common receiver variance.... ..."

### Table 1: Summary of the Coe cients from our Bayesian Model on the HIV1 Data. Parameter E ect Bayesian estimate

2006

"... In PAGE 9: ... 6.1 Parameter estimates We summarized some of the estimated parameters from the rst experiment of the HIV data in Table1 . The posterior mode of the degree of freedom of the t-distribution, is equal to 2, indicating that the sampling errors are heavier-tailed than the Gaussian distribution.... In PAGE 10: ... There is some between-sample correlation, with a posterior mean for of 0.36 ( Table1 ). Estimates are precise since parameters are shared across pixels and the data contain a lot of information.... ..."

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### Table 2 Results of bias and efficiency of parameters and quantiles. Population parameter:

### Table 2. U.S. Meat Demand Models: Thep-values for Equation-by-Equation System Misspe- cification Tests a

"... In PAGE 12: ... Table2 . Continued Model C Model D Item Beef Pork Chicken Beef Pork Chicken Individual Tests Normality Functional Form: RESET2 KG2 Heteroskedasticity:b Static Beef RESET2 Pork Chicken Static Beef WHITE Pork Chicken Dynamic Beef Pork Chicken Autocorrelation Parameter Stability: Variance Mean Joint Tests Overall Mean Test Parameter Stability Functional Form Autocorrelation Overall Variance Test:b Beef Pork Chicken Parameter Stability: Beef Pork Chicken Static Heteroskedasticity: Beef Pork Chicken Dynamic Heteroskedasticity: Beef Pork Chicken 0.... ..."

### Table 5. Structural Equations for the Bone Geometry Model

2006

"... In PAGE 8: ... We employed an additive genetic model in the SEM because all QTL effects showed intralocus additivity. We developed an initial SEM (Figure 7 and Table5 ) following the steps of model formulation, assessment, and refinement described in Materials and Methods. In order to resolve the causal relationships among the three phenotypes, we exam- ined the complete set of 11 models listed in Figure 8.... In PAGE 8: ... The graphical SEM is shown in Figure 7. Path coefficients and t-statistics are summarized in Table5 . The model explains 67.... In PAGE 9: ... Structural Equation Model for Bone Geometry Genetic effects have been grouped. Sign and magnitude of path coefficients can be found in Table5 . Group Q1 includes loci with effects that are specific to PCIR (Q4@66, Q5@84, Q6@32, Q7@50, and Q11@68).... ..."

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### Table 4 Parameter Estimates for Structural Equation Model

"... In PAGE 23: ...22 Results of hypotheses tests Our findings, shown in Table4 , column D, are as follows.... In PAGE 25: ...10, and z-statistic of 1.645, we dropped several paths, as shown in Table4 , column E. We however retain paths involving control variables even if their coefficients were insignificant.... In PAGE 28: ...05. Lastly, in Table4 , column F, the parameters of moderating effects are statistically not significant. What results mean Our results highlight important aspects of buyer supplier knowledge transfer interfaces.... ..."

### Table 1: Model Equations

in PRICE STABILITY AND MONETARY POLICY EFFECTIVENESS WHEN NOMINAL INTEREST RATES ARE BOUNDED AT ZERO

"... In PAGE 13: ... Deviations of aggregate demand from potential output then have consequences for wage and price setting. The model equations are summarized in Table1 . First, the long-term nominal rate, lt, is related to expected future short-term rates via the term structure relationship in equation (3).... ..."

### Table 5: Posterior quantiles of the relative risk of myorcardial infarction associated with oral contraceptive use for the younger age group (25{34) under each model individually and with the Bayesian mixture, for di erent values of .

"... In PAGE 19: ... The shape of the combined posterior distribution is fairly insensitive to the precise value of (Figure 4). Approximate posterior quantiles are shown in Table5 . An informal simple and conservative way of taking account of model uncertainty in this situation might be to take the union of the two con dence intervals, but this is clearly too wide.... In PAGE 19: ... An informal simple and conservative way of taking account of model uncertainty in this situation might be to take the union of the two con dence intervals, but this is clearly too wide. Table5 shows how the present approach produces intervals that are, in e ect, shortened versions of the union of the two intervals, in a formally justi ed way. Schall and Zucchini (1990) analyzed the same data set using the model selection methodology of... ..."

### Table 1. Model equations

"... In PAGE 9: ...Table1 (cont.) Import Share.... In PAGE 36: ... Output losses are reported in fig 3 where the results for Germany on the one hand and for France and the UTK on the other look quite different45 . Table1 1I also shows that differences in aggregate performance are reflected in differences in sectoral performance and in the change of the specialization structure as well as in the consequences on domestic knowledge accumulation. These results highlight the consequences of different intensities in quot;technological integration quot; on growth.... ..."