Inter-generational micro-class mobility during and after socialism: The power, education, autonomy, capital, and horizontal (PEACH) model in Hungary

. Author manuscript; available in PMC: 2018 Jul 31.

Published in final edited form as: Soc Sci Res. 2016 Feb 13;58:80–103. doi: 10.1016/j.ssresearch.2015.08.010

Channels and barriers effects from the PEACH model.^a

	Pre-transition	Transition	Post-transition
Male: Agriculture – Education	−1.429^*** (0.188)	−1.289^*** (0.188)	−0.649^*** (0.173)
Female: Agriculture – Education	−2.656^*** (0.219)	−1.112^*** (0.145)	−0.823^*** (0.151)
Male: Agriculture – Autonomy	−1.61^* (0.788)	−2.104^*** (0.369)	−2.734^*** (0.372)
Female: Agriculture – Autonomy	0.405 (0.807)	−0.287 (0.344)	0.012 (0.336)
Male: Agriculture – Education sector	0.803^** (0.304)	0.612 (0.323)	0.379 (0.361)
Female: Agriculture – Education sector	1.538^*** (0.2)	0.494^** (0.174)	0.54^** (0.206)
Male: Education – Education sector	−0.976^* (0.404)	−0.358 (0.251)	0.51^* (0.233)
Female: Education – Education sector	−0.931^*** (0.267)	−0.857^*** (0.168)	−0.522^*** (0.139)
Male: Agriculture – Construction	1.282^*** (0.221)	1.038^*** (0.232)	0.964^** (0.312)
Female: Agriculture – Construction	−0.554 (0.743)	0.567 (0.929)	−0.619(1.441)
Male: Construction – Agriculture	1.53^*** (0.326)	0.152 (0.372)	−0.581 (0.437)
Female: Construction – Agriculture	1.489^*** (0.341)	1.61^*** (0.393)	0.55 (0.649)
Male: Machine industry – Agriculture	−1.616^* (0.633)	−1.226^* (0.595)	−1.079^* (0.482)
Female: Machine industry – Agriculture	−1.091 (0.656)	0.051 (0.7)	−0.913 (0.783)

Model estimated on data sets listed in Table 2, and includes period- and gender-specific marginals. Other effects and fit statistics are listed in Table 6.

p < 0.05

^**

p < 0.01

^***

p < 0.001.