Movers and stayers. Household context and emigration from ...

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Tab.3. Distribution of movers and stayers. Variables reflecting human capital Tab.4.Distribution of movers and stayers. Variables reflecting household structure and socioeconomic status Movers Stayers Movers Stayers Variables Freq. Percent Freq. Percent Variables Freq. Percent Freq. Percent Sex Fathers occupation male 73 63.48 84 42.00 landowner 61 53.04 118 59.00 female 42 36.52 116 58.00 landless 34 29.57 42 21.00 Total 115 100.00 200 100.00 other occ. 19 16.52 38 19.00 Age pauper 1 0.87 2 1.00 15-‐20 55 47.83 72 36.00 Total 115 100.00 200 100.00 21-‐25 26 22.61 41 20.50 Parents alive 1890 26-‐30 26 22.61 45 22.50 Both parents 31-‐35 8 6.96 42 21.00 Yes 82 71.30 117 58.50 Total 115 100.00 200 100.00 No 33 28.70 83 41.50 Marital status Total 115 100.00 200 100.00 married 5 4.35 50 25.00 Father unmarried 110 95.65 150 75.00 father alive 12 10.43 24 12.00 Total 115 100.00 200 100.00 father dead 103 89.57 176 88.00 Own occupation Total 115 100.00 200 100.00 landowner 1 0.87 23 11.50 Mother landless 5 4.35 8 4.00 mother alive 17 14.78 43 21.50 other occ. 32 27.83 46 23.00 mother dead 98 85.22 157 78.50 missing 77 66.96 123 61.50 Total 115 100.00 200 100.00 Total 115 100.00 200 100.00 Both parents dead 1890 Yes 4 3.48 16 8.00 No 111 96.52 184 92.00 Total 115 100.00 200 100.00 Numbers of older siblings alive 1890 0-‐1 50 43.48 108 54.00 2-‐3 39 33.91 55 27.50 4-‐8 26 22.61 37 18.50 Total 115 100.00 200 100.00 Previous migrants mighist 0 64 55.65 162 81.00 1-‐7 51 44.35 38 19.00 Total 115 100.00 200 100.00 12
Tab.3. Logistic regression Number of obs = 315 Wald chi2 (17) = 44.43 Prob > chi2 = 0.000 Log pseudolikelihood= -‐ 184.23411 Pseudo R2 = 0.1088 Robust emig1891 Odds Ratio Std.Err. z P>IzI (95% Conf. Intervall) female .4543143 .1166348 -‐3.07 0.002 .2746817 .7514204 agegroup2 .9086888 .2954152 -‐0.29 0.768 .4804953 1.7184670 agegroup3 1.0155670 .3361883 0.05 0.963 .5308005 1.9430600 agegroup4 .4618341 .2218729 -‐1.61 0.108 .1801169 1.1841800 married .1918288 .1299455 -‐2.44 0.015 .0508519 .7236367 ownprof2 5.9886110 6.5530290 1.64 0.102 .7012940 51.1389800 ownprof3 4.7449950 4.9670100 1.49 0.137 .6098278 36.9202300 ownprof4 2.4578430 2.6897470 0.82 0.411 .2877659 20.9927300 Tab.4. Marginal effects after logit y = Pr(emig1891) (predict) ´=0.32538841 variable dy/dx Std.Err. z P>IzI (95% C.I.) female* -‐.1718420 .05553 -‐3.09 0.002 -‐.280669 -‐.063014 agegro2* -‐.0208119 .06998 -‐0.30 0.766 -‐.157974 .116350 agegro3* .0033959 .07288 0.05 0.963 -‐.139449 .146240 agegro4* -‐.1516970 .08245 -‐1.84 0.066 -‐.313298 .009904 married* -‐.2816659 .08231 -‐3.42 0.001 -‐.442997 -‐.120335 ownprof2* .4190828 .21752 1.93 0.054 -‐.007252 .845418 ownprof3* .3618337 .23501 1.54 0.124 -‐.098781 .822449 ownprof4* .1869687 .21202 0.88 0.378 -‐.228576 .602513 (*) dy/dx is for discrete change of dummy variable from 0 to 1 Referencecategories Sex male 0 Age agegroup1 age 15-‐20 Marital status unmarried 0 Own profession ownprof1 landowner 13
Page 1 and 2: Paper for session “Migration” a
Page 3 and 4: 2. Data 2.1 Sources This study is p
Page 5 and 6: The starting point for this study i
Page 7 and 8: previous migration, and those witho
Page 9 and 10: can see that except for the landles
Page 11: Tab.1 Variables reflecting human
Page 15: Appendix Sources of data 1890 censu

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