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| Page | 6/9 | | Date | 26.11.2017 | | Size | 0.62 Mb. | | #34897 |
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Table 6 Results from selection equations of Probit models à la Heckman
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Model 1
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Model 2
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Model 3
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Model 4
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Model 5
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Coefficients
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Marginal effects
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Coefficients
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Marginal effects
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Coefficienti
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Marginal effects
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Coefficients
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Marginal effects
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Coefficients
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Marginal effects
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MIGRATION
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Individual characteristics
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age
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-.143*** [.009]
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-.041*** [.002]
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-.124*** [.011]
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-.034*** [.002]
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-.038*** [.012]
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-.009*** [.003]
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-.038*** [.012]
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-.009*** [.003]
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-.039*** [.012]
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-.009*** [.003]
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gender
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.085*** [.013]
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.024*** [.003]
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.078*** [.013]
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.021*** [.003]
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.035** [.016]
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.009** [.004]
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.039** [.016]
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.011** [.004]
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.040** [.016]
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.010** [.004]
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marital_status
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.192*** [.016]
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.056*** [.004]
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.205*** [.016]
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.059*** [.004]
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.233*** [.019]
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.062*** [.005]
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.235*** [.020]
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.063*** [.005]
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.243*** [.020]
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.065*** [.005]
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father_edu
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.166*** [.018]
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.049*** [.005]
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.125*** [.018]
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.036*** [.005]
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.113*** [.022]
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.029*** [.006]
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.113*** [.022]
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.030*** [.006]
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.108*** [.023]
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.028*** [.006]
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father_netw
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.031** [.015]
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.009** [.004]
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.030* [.016]
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.008* [.004]
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.041** [.019]
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.011** [.005]
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.034* [.019]
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.008* [.005]
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.030 [.019]
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.007 [.005]
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Education
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degree_grade
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.004*** [.001]
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.001*** [.000]
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.010*** [.001]
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.002*** [.000]
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.007*** [.001]
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.001*** [.000]
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.006*** [.001]
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.001*** [.000]
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.006*** [.001]
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.001*** [.000]
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post_lauream
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.179*** [.016]
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.053*** [.005]
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.144*** [.017]
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.041*** [.005]
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.009 [.021]
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.002 [.005]
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.016 [.021]
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.004 [.005]
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.014 [.021]
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.003 [.005]
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degree_type
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.184*** [.014]
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.052*** [.003]
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.184*** [.014]
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.050*** [.003]
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.141*** [.017]
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.035*** [.004]
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.136*** [.017]
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.034*** [.004]
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.135*** [.017]
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.034*** [.004]
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stage
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-.042 [.027]
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-.012 [.007]
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-.039 [.029]
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-.010 [.007]
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-.024 [.033]
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-.006 [.007]
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-.022 [.034]
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-.005*** [.008]
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-.037 [.034]
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-.009 [.008]
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erasmus
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-
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-
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.344*** [.024]
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.107*** [.008]
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.188*** [.029]
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.051*** [.008]
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.193*** [.029]
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.053*** [.008]
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.197*** [.030]
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.054*** [.008]
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ante_lauream
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-
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-
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1.30*** [.023]
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.467*** [.008]
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.484*** [.031]
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.146*** [.011]
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.484*** [.032]
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.147*** [.011]
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.477*** [.032]
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.143*** [.011]
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Context characteristics
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salary
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-
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-
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-
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-
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.000** [.000]
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.000**[.000]
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.000*** [.000]
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.000*** [.000]
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.000*** [.000]
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.000***[.000]
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unempl_rate_o
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-
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-
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-
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-
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.027*** [.004]
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.007***[.001]
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.000 [.005]
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.000 [.001]
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.020*** [.006]
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.005***[.001]
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unempl_rate_d
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-
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-
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-
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-
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-.044*** [.005]
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-.011***[.001]
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-.013** [.005]
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-.003**[.001]
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-.032*** [.007]
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-.008***[.001]
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rgdp_pro_o
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-
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-
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-
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-
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-.000*** [.000]
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-.000***[.000]
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-.000*** [.000]
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-.000*** [.000]
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-.000*** [.000]
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-.000***[.000]
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rgdp_pro_d
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-
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-
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-
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-
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.000*** [.000]
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.000***[.000]
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-.000*** [.000]
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.000*** [.000]
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.000*** [.000]
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.000***[.000]
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Institutions
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IQI_o
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-
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-
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-
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-
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-
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-
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-2.691*** [.235]
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-.689*** [.061]
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-
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-
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IQI_d
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-
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-
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-
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-
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-
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-
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2.798*** [.245]
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.716*** [.063]
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-
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-
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corruption_o
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-
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-
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-
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-
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-
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-
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-
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-
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-.457*** [.164]
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-.116***[.041]
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corruption_d
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-
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-
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-
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-
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-
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-
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-
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-
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.772*** [.183]
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.196***[.046]
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government_o
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-
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-
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-
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-
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-
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-
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-
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-
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-2.320*** [.220]
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-.591***[.055]
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government_d
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-
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-
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-
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-
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-
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-
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-
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-
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2.518*** [.213]
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.640***[.054]
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regulatory_o
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-
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-
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-
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-
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-
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-
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-
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-
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.723*** [.150]
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.184***[.038]
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regulatory_d
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-
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-
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-
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-
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-
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-
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-
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-
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-.759*** [.143]
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-.193***[.036]
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rule_o
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-
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-
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-
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-
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-
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-
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-
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-
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-.825*** [.177]
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-.210***[.045]
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rule_d
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-
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-
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-
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-
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-
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-
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-
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-
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.608*** [.188]
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.154***[.047]
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voice_o
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-
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-
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-
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-
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-
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-
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-
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-
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-1.138*** [.182]
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-.289***[.046]
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voice_d
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-
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-
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-
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-
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-
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-
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-
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-
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1.489*** [.184]
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.378***[.046]
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constant
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-1.139*** [.107]
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-
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-1.91*** [.111]
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-
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-1.63*** [.144]
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-
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-1.735*** [.146]
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-
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-1.665*** [.164]
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-
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Observations
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47300
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-
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47300
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-
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47300
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-
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47300
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-
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47300
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Wald test (p-value)
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0.0603
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-
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0.0011
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-
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0.0000
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-
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0.0004
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-
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0.0021
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Log likelihood
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-29754.15
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-
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-27967.17
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-
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-19793.97
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-
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-19573.33
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-
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-19371.25
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Note: robust standard error in brackets. * indicates significance at 10%, ** at 5%, *** at 1%.
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