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Table 4 Discrete-time event history models of property rights acquisition in different periods (1980–2010)

From: Housing Reform, Life Course and Urban Housing Acquisition (1980-2010)

 1980–19941995–20002001–2010
Housing property rightsBenchmark group: rental housingHousing property rightsBenchmark group: rental housingHousing property rightsBenchmark group: rental housing
Welfare housingCommercial housingWelfare housingCommercial housingWelfare housingCommercial housing
Model 1Model 2Model 3Model 4Model 5Model 6Model 7Model 8Model 9
Gender (female = 0)− .455** (.182)− .628** (.265)− .369 (.258)− .0514 (.137)− .0354 (.192)− .0808 (.190).143 (.148).0344 (.264).169 (.176)
Education level (middle school and below = 0)
 High school and technical secondary school− .358* (.216)− .417 (.334)− .375 (.281).289 (.196)− .147 (.255).913*** (.325).460** (.228).165 (.409).566** (.273)
 Technical college and above1.100*** (.331)2.112*** (.449)− 46.00 (.000).318(.265).0383 (.345).764* (.419).621** (.287).166 (.518).785** (.340)
Party members (no. = 0).938** (.367)1.054*** (.386)− 43.35 (.000).324 (.420).385 (.456)− .187 (1.072).137 (.579)− .0935 (.831).246 (.771)
Age (15–19 = 0)
 20–24.122 (.366)− .224 (.578).543 (.504)− .194 (.486)− .559 (.668).147 (.752)− .614 (.405)− .943 (.697)− .473 (.493)
 25–39.957*** (.340).761 (.534)1.245*** (.472).662 (.449).512 (.585).842 (.717)− .653 (.401)− .804 (.660)− .579 (.494)
 40–541.110*** (.418)1.190** (.596).573 (.741)1.060** (.461).808 (.602)1.326* (.733)− .612 (.409)− .905 (.674)− .481 (.504)
 After 551.870*** (.619)2.270*** (.749)− 42.97 (.000)1.046* (.561).922 (.666).552 (1.235)− .436 (.515)− .389 (.760)− .610 (.694)
Type of work units (enterprises outside the system = 0)
 State-owned institutions− .244 (.305)− .348 (.429)− .271 (.467).979*** (.247)1.221*** (.336).465 (.385).0075 (.253).765* (.420)− .396 (.326)
 State-owned and collective enterprises− .243 (.256)− .170 (.370)− .406 (.361)1.002*** (.223)1.060*** (.318).924*** (.311).316 (.206).836** (.370).0929 (.246)
Level of work units (no. = 0)− .0438 (.206).564 (.352)− .462* (.280).258 (.163).681** (.280)− .0608 (.205).194 (.173)− .0770 (.338).293 (.199)
Occupation (manual workers = 0)
 Managerial and professional employees− .798** (.360)− 1.146** (.472)− .739 (.770).477** (.239).348 (.304).731** (.362).313 (.306).731 (.497).117 (.380)
 Technology and service personnel− 1.213*** (.383)− 1.491*** (.529)− 1.064* (.612).306 (.219).220 (.281).436 (.333).385* (0.218).0324 (.411).513** (.256)
 Privately or individually owned business− .165 (.295)− 2.454** (1.049).226 (.355)1.144*** (.247)− 1.178* (.648)1.834*** (.324).512** (.236)− .698 (.660).735*** (.262)
 Underemployment− 1.366*** (.416)-1.592** (.653)− .947* (.563).413 (.377).718 (.487).0827 (.608).442 (.355).593 (.597).364 (.434)
Occupational titles (no. = 0).624** (.269).780** (.341).104 (.544)− .0177 (.216)− .168 (.293).120 (.299).342 (.229)− .0588 (.422).508* (.266)
Administrative levels (no. = 0)− 1.023** (.494)− .969* (.512)− 44.51 (0.000)− .345 (.303).0586 (.353)− 1.371** (.644).554 (.345)1.168** (.508).0425 (.484)
Constant terms− 4.013*** (.389)− 4.972*** (.610)− 4.531*** (.534)− 4.385*** (.482)− 4.773*** (.620)− 5.705*** (.785)− 3.019*** (.458)− 3.756*** (.756)− 3.572*** (.564)
Person-years895689563428342831383138
Pseudo R2.0765.1270.0662.0998.0298.0448
Log likelihood− 688.74− 739.26− 858.44− 985.09− 768.02− 883.80
  1. *p < 0.10
  2. **p < 0.05
  3. ***p < 0.01 (two-tailed test)
  4. Standard error in parentheses