7] 7.64 [.04] .050 [0.080] 0.682 [0.054] .229 [0.046] 0.79 [0.097] 0.65 [0.022] .000 [0.000]

7] 7.64 [.04] .050 [0.080] 0.682 [0.054] .229 [0.046] 0.79 [0.097] 0.65 [0.022] .000 [0.000] .559 [0.34] 0.983 [0.043] .208 [0.69] 0.97 [0.056] 0.59 [0.047] 0.509 [0.055] 0.837 [0.39] .80 [0.067] (3) 0.457 [0.065] .07 [0.055] 2.483 [0.02] .489 [0.237] 8.70 [.094] .266 [0.086] 0.802 [0.03] .492 [0.08] 0.843 [0.54] 0.202 [0.09] .000 [0.000] 2.7 [0.223] .2 [0.03] .256 [0.70] .89 [0.052] 0.588 [0.034] 0.526 [0.042] 0.859 [0.7] .72 [0.062] 0.29 [0.306] 0.54 [0.026] 0.995 [0.000] .05 [0.023] (4) 0.452 [0.069] .340 [0.60] 3.447 [0.23] .909 [0.394] 0.372 [.647] .753 [0.88] .38 [0.62] 2.049 [0.248] .079 [0.363] 0.282 [0.072] .000 [0.000] 2.377 [0.38] 2.06 [0.204] .69 [0.286] .485 [0.22] 0.579 [0.080] 0.472 [0.064] 0.720 [0.58] .226 [0.2] 0.2 [0.48] 0.52 [0.029] 0.996 [0.00] 0.983 [0.020] (5) 0.452 [0.075] .382 [0.200] 3.830 [0.20] .932 [0.459] .85 [.640] .829 [0.226] .90 [0.240] 2.47 [0.296] .00 [0.40] 0.272 [0.065] .000 [0.000] 2.402 [0.456] 2.79 [0.35] .853 [0.302] .60 [0.28] 0.593 [0.05] 0.504 [0.075] 0.83 [0.23] .220 [0.20] 0.3 [0.32] 0.50 [0.029] 0.995 [0.00] 0.984 [0.024] .233 [0.057] 0.886 [0.033] 0.690 [0.24] 0.727 [0.449] (6) 0.48 [0.069] .490 [0.335] 3.927 [0.306] 2.56 [0.542] 3.50 [3.5] .840 [0.459] .269 [0.328] 2.276 [0.458] .255 [0.365] 0.283 [0.079] .000 [0.000] 2.497 [0.565] 2.52 [0.886] 2.009 [0.320] .69 [0.48] 0.578 [0.093] 0.486 [0.07] 0.809 [0.9] .22 [0.2] 0.00 [0.29] 0.54 [0.029] 0.996 [0.00] 0.980 [0.020] .234 [0.057] 0.887 [0.033] 0.75 [0.228] 0.720 [0.464] .094 [0.8] 0.634 [0.97] 34,The table shows the results of regressions to 6, PHCCC custom synthesis predicting the savings
7] 7.64 [.04] .050 [0.080] 0.682 [0.054] .229 [0.046] 0.79 [0.097] 0.65 [0.022] .000 [0.000] .559 [0.34] 0.983 [0.043] .208 [0.69] 0.97 [0.056] 0.59 [0.047] 0.509 [0.055] 0.837 [0.39] .80 [0.067] (3) 0.457 [0.065] .07 [0.055] 2.483 [0.02] .489 [0.237] 8.70 [.094] .266 [0.086] 0.802 [0.03] .492 [0.08] 0.843 [0.54] 0.202 [0.09] .000 [0.000] 2.7 [0.223] .2 [0.03] .256 [0.70] .89 [0.052] 0.588 [0.034] 0.526 [0.042] 0.859 [0.7] .72 [0.062] 0.29 [0.306] 0.54 [0.026] 0.995 [0.000] .05 [0.023] (4) 0.452 [0.069] .340 [0.60] 3.447 [0.23] .909 [0.394] 0.372 [.647] .753 [0.88] .38 [0.62] 2.049 [0.248] .079 [0.363] 0.282 [0.072] .000 [0.000] 2.377 [0.38] 2.06 [0.204] .69 [0.286] .485 [0.22] 0.579 [0.080] 0.472 [0.064] 0.720 [0.58] .226 [0.2] 0.2 [0.48] 0.52 [0.029] 0.996 [0.00] 0.983 [0.020] (5) 0.452 [0.075] .382 [0.200] 3.830 [0.20] .932 [0.459] .85 [.640] .829 [0.226] .90 [0.240] 2.47 [0.296] .00 [0.40] 0.272 [0.065] .000 [0.000] 2.402 [0.456] 2.79 [0.35] .853 [0.302] .60 [0.28] 0.593 [0.05] 0.504 [0.075] 0.83 [0.23] .220 [0.20] 0.3 [0.32] 0.50 [0.029] 0.995 [0.00] 0.984 [0.024] .233 [0.057] 0.886 [0.033] 0.690 [0.24] 0.727 [0.449] (6) 0.48 [0.069] .490 [0.335] 3.927 [0.306] 2.56 [0.542] 3.50 [3.5] .840 [0.459] .269 [0.328] 2.276 [0.458] .255 [0.365] 0.283 [0.079] .000 [0.000] 2.497 [0.565] 2.52 [0.886] 2.009 [0.320] .69 [0.48] 0.578 [0.093] 0.486 [0.07] 0.809 [0.9] .22 [0.2] 0.00 [0.29] 0.54 [0.029] 0.996 [0.00] 0.980 [0.020] .234 [0.057] 0.887 [0.033] 0.75 [0.228] 0.720 [0.464] .094 [0.8] 0.634 [0.97] 34,The table shows the results of regressions to 6, predicting the savings behaviour of individuals in the WVS. This table is equivalent to Table in [3]. Robust standard errors in brackets. significant at 5 ; significant at . doi:0.37journal.pone.03245.taverage of both these variables at the country level. Regression 6 adds controls for the share of a country which speaks a household’s language, and what share speak a language with the same kind of FTR. The withincountry regressions were also replicated from [3]. Regression 7 includes only nonchoice variables (e.g. age and sex). Regressions 8 and 9 add fully interacted fixed effects for country, time, income and education. Regressions 0, and 2 include controls for (nuclear) family structure. Regression adds whether individuals’ responses to whether they think that others are generally trustworthy are on average. Regression 2 adds an individual’s attitude to thrift as an important value to each children.PLOS ONE DOI:0.37journal.pone.03245 July 7,26 Future Tense and Savings: Controlling for Cultural EvolutionTable 5. Regressions on matched samples with language family fixed effects. Regression Prediction_FTR Unemployed most people can be trusted important in life: family important child qualities: thrift Fixed effects Age sex Country wave Income Edu Married Num of Children All FEs Interacted Language family Observations Yes No No No Yes Yes 52,055 Yes Yes Yes No Yes Yes 60,368 Yes Yes Yes No Yes Yes 60,368 Yes Yes Yes Yes Yes Yes 23,0 Yes Yes Yes Yes PubMed ID:https://www.ncbi.nlm.nih.gov/pubmed/24180537 Yes Yes 2768 Yes Yes Yes Yes Yes Yes 2,768 (7) FamSaved 0.427 [0.076] (8) FamSaved 0.559 [0.43] (9) FamSaved 0.560 [0.46] 0.669 [0.023] (0) FamSaved 0.68 [0.80] 0.68 [0.044] FamSaved 0.59 [0.8] 0.679 [0.04] .065 [0.038] 0.948 [0.047] (2) FamSaved 0.590 [0.4] 0.68 [0.042] .067 [0.038] 0.949 [0.048] .29 [0.075]The table shows the results of regressions 7 to 2, predicting the savings behaviour of individuals in the WVS. This table is equivalent to.