Table 1: Military Service: Models. Model 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8 Model 9 num unemployed mili mili num unemployed

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1 Tables: Military Service Table 1: Military Service: Models Model 1 Model 2 Model 3 Model 4 Model 5 Model 6 Model 7 Model 8 Model 9 num unemployed mili mili num unemployed mili [0.005] [0.005] [0.005] [0.005] [0.208] [0.289] [0.308] hs [0.004] [0.004] [0.120] [0.021] [0.120] [0.125] [0.133] age [0.000] [0.004] [0.010] [0.002] [0.010] [0.021] [0.022] age [0.000] [0.000] [0.000] [0.000] [0.001] [0.001] exp [0.001] [0.001] [0.004] [0.001] [0.004] [0.014] [0.015] exp [0.000] [0.000] [0.000] [0.000] [0.000] [0.000] hs age [0.011] [0.002] [0.011] [0.011] [0.012] hs age [0.000] [0.000] [0.000] [0.000] [0.000] hs exp [0.004] [0.001] [0.004] [0.004] [0.005] hs exp [0.000] [0.000] [0.000] [0.000] [0.000] lottery [0.001] [0.001] u hat [1.208] u hat [0.289] Const [0.002] [0.009] [0.040] [0.113] [0.000] [0.019] [0.117] [0.164] [0.174] Obs. 1,043,130 1,043,130 1,043,130 1,043,130 1,043,130 1,043,130 1,043,130 1,043,130 1,043,130 R Table 2: Military Services: Test. Test Statistics p-value

2 Tables: Airlines Data. Market Concentration Model 1: Pooled OLS, using 4596 observations const dist dist e e pass fr Sum squared resid S.E. of regression R Adjusted R F (4, 1148) P-value(F ) 1.3e 140 Log-likelihood Akaike criterion Schwarz criterion Hannan Quinn ˆρ Durbin Watson Model 2: Pooled OLS, using 4596 observations const dist dist e e pass fr Dyear Dyear Dyear Sum squared resid S.E. of regression R Adjusted R F (7, 1148) P-value(F ) 2.2e 171 Log-likelihood Akaike criterion Schwarz criterion Hannan Quinn ˆρ Durbin Watson

3 Model 3: Fixed-effects, using 4596 observations const pass fr Sum squared resid S.E. of regression LSDV R Within R Log-likelihood Akaike criterion Schwarz criterion Hannan Quinn ˆρ Durbin Watson Test statistic: F (2, 1148) = with p-value = P (F (2, 1148) > ) = e-038 Robust test for differing group intercepts Null hypothesis: The groups have a common intercept Test statistic: Welch F (1148, ) = with p-value = P (F (1148, ) > ) = 0 Model 4: Fixed-effects, using 4596 observations const pass fr dt dt dt Sum squared resid S.E. of regression LSDV R Within R Log-likelihood Akaike criterion Schwarz criterion Hannan Quinn ˆρ Durbin Watson

4 Test statistic: F (2, 1148) = with p-value = P (F (2, 1148) > ) = e-036 Robust test for differing group intercepts Null hypothesis: The groups have a common intercept Test statistic: Welch F (1148, ) = with p-value = P (F (1148, ) > ) = 0 Wald joint test on time dummies Null hypothesis: No time effects Asymptotic test statistic: χ 2 (3) = with p-value = e-137 Model 5: Fixed-effects, using 4596 observations const pass fr Dyear Dyear Dyear Sum squared resid S.E. of regression LSDV R Within R Log-likelihood Akaike criterion Schwarz criterion Hannan Quinn ˆρ Durbin Watson Test statistic: F (5, 1148) = with p-value = P (F (5, 1148) > ) = e-113 Robust test for differing group intercepts Null hypothesis: The groups have a common intercept Test statistic: Welch F (1148, ) = with p-value = P (F (1148, ) > ) = 0 Model 6: Random-effects (GLS), using 4596 observations 4

5 Coefficient Std. Error z p-value const dist dist e e pass fr dt dt dt Sum squared resid S.E. of regression Log-likelihood Akaike criterion Schwarz criterion Hannan Quinn Asymptotic test statistic: χ 2 (4) = with p-value = e-229 Wald joint test on time dummies Null hypothesis: No time effects Asymptotic test statistic: χ 2 (3) = with p-value = e-140 ˆσ 2 v = ˆσ 2 ε = θ = Breusch-Pagan test Null hypothesis: Variance of the unit-specific error = 0 Asymptotic test statistic: χ 2 (1) = with p-value = 0 Hausman test Null hypothesis: GLS estimates are consistent Asymptotic test statistic: χ 2 (5) = with p-value = e-020 5

6 Tables: Intergenerational Dependence 6

7 7

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