### Table 1: Real data set with four continuous and two categorical regressors

1997

"... In PAGE 8: ... We will compare it with the RDL1 in the example below. 4 Example To illustrate the RDL1 method we consider an economics data set ( Table1 ) from Wagner (1994). He investigates the rate of employment growth (variable y) as a function of the percentage of people engaged in production activities (variable PA) and higher services (variable HS), and of the growth of these percentages (variables GPA and GHS).... ..."

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### Table 5: Lazy learning regressor average coef cients for meteorological variables.

2005

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### Table 4b. RegressorInfluencePayAchieveRespect

2006

"... In PAGE 24: ... An initial analysis examined whether the effect of absolute pay level on satisfaction measures was similar in the restricted sample of organisations that we used compared with the complete sample (N=1747). Table4 a shows the results for the complete sample; Table 4b gives the results for the restricted sample. In both the full and the restricted sample, wabs is a significant independent predictor of each satisfaction measure when the effects of the background variables are partialled out.... In PAGE 45: ... Table4 a. Satisfaction Equations (in four domains) with Absolute Pay as an Independent Variable.... ..."

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### TABLE 9 Estimation with Both Returns as Regressors (Small Instrument Set)

2001

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### TABLE 7: Results including Stock Market Participation as a Regressor

2003

### Table 6: Comparing least squares and quantile regression results for selected regressors

1998

"... In PAGE 18: ... The quantile regression techniques proposed by Koenker and Bassett (1978, 1982) and described in Deaton (1997) provide a natural mechanism for doing so. Table6 reports the results of five quantile regressions corresponding to the 10 , th 33 , 50 (median), 67 and 90 centiles as well as, for the purposes of comparison, the rd th th th least squares results reported in Table 4. These are obtained by simultaneously estimating quantile regressions for each specified centile and then obtaining the variance-covariance matrix by bootstrapping (Gould, 1997).... ..."

### Table 2 Empirical rejection rates under the null hypothesis Number of Regressors

### Table 4: Single Regressor with Individual Efiects, High Persistence

### Table 3 presents the derivat ives ( P/ X), at the overall mean of the regressors for

2000

"... In PAGE 25: ...gory). Similarly, households in former Natal province were 1.8 percent 11 Table A1 presents similar results for binomial logit specifications on attrition , ignoring the moved versus no - trace distinction for the entire sample of 1 , 393 households. 12 The multinomial analysis presented in Table3 excludes 13 households (nine refusals and four deaths).... In PAGE 39: ...31 Table3 . Multinomial logit attrition regressions in the 199 8 KwaZulu - Natal sample Omitted category: Reinterviewed in 1998 (N=1,380) Movers No trace Community characteristics (1) if former Natal province 0.... ..."

### Table 1 Determinants of Debt Crises, 1880-1913 Regressors

2005

"... In PAGE 18: ...1 Debt Crises Tables 1 and 2 present results from various specifications where the initial year of a debt crisis is the dependent variable. Table1 is for the 1880 to 1913 sample and Table 2 is for the 1972-1997 sample. Column one of Table 1 presents a comprehensive specification that includes a variable set as large as possible and which also allows for controls for original sin and currency mismatches.... In PAGE 18: ... Table 1 is for the 1880 to 1913 sample and Table 2 is for the 1972-1997 sample. Column one of Table1 presents a comprehensive specification that includes a variable set as large as possible and which also allows for controls for original sin and currency mismatches. We see that there is an inverse U shaped pattern in original sin and in mismatches.... In PAGE 24: ... The positive coefficient on the mismatch variable suggests that original sin is dangerous, but that countries that have original sin may be able to avoid currency crises if they manage to collect adequate reserves or are sufficiently open. Since the outbreak of a debt crisis seems to be associated with currency crises (see Table1 ), this is weak evidence that poorly managed original sin is indirectly associated with currency crises. In Table 4 we present similar specifications that try to explain currency crises between 1972 and 1997.... In PAGE 25: ...eriod. However, the evidence is again mixed in terms of statistical significance. Similar to what we see with debt crises, there appear to be factors that diminish the impact of original sin. Between 1880 and 1913 we see a quadratic or inverse U as we did in Table1 . Between 1972 and 1997 we see that the impact of more original sin is higher in low and middle income countries than in high income countries.... In PAGE 27: ... Since this is infeasible to do in a limited dependent variable model with our particular data configuration, we move to a fixed effects linear probability model estimated by OLS. Table 7 re-specifies the models of column 1 from Table1 , column 1 of Table 3 and column 1 of Table 5 in this way. Like the previous results, the models fit fairly poorly since there are so few crises compared to non-crisis years.... In PAGE 27: ... Nevertheless the results regarding the coefficients on the original sin and mismatch variables are qualitatively very similar to the findings in the previous tables. For debt crises and banking crises, we find evidence of the very same quadratic pattern from Table1 and Table 5. However the marginal effect of the hard currency debt ratio is not statistically significant.... In PAGE 54: ...54 Figure 10 Marginal Effect of the Ratio of Hard Currency Debt to Total Debt Notes: Figures are calculated based on the model in column 1 of Table1 . Currency crisis indicator equals one, lagged banking crisis equals one and other variables are at their sample means.... In PAGE 55: ...55 Figure 11 Predicted Probabilities of a Debt Crisis, 1880-1913 Notes: Figures are calculated based on the model in column 1 of Table1 . The probabilities are evaluated at the sample means of the control variables with the exception of the currency crisis and banking crisis variables as indicated above.... ..."