中国居民收入调查 CHIP 2013 // chip2013

中国居民收入调查(CHIP)2013 年波次数据,由北京师范大学中国收入分配研究院主持。覆盖城镇住户、农村住户、流动人口三个分样本,是中国收入分配 / 不平等 / 贫困 研究的核心数据集。

source: 北京师范大学中国收入分配研究院 · version: 2013 · updated: 2015-12 · official page

common research uses

China Household Income Project 2013 registers 17 variables — 4 commonly used as dependent variables, 6 as core regressors and 11 as controls. Common research directions for this dataset include: 收入不平等的代际传递, 城乡 / 户籍收入差距分解.

收入不平等的代际传递: DV ind_income, IV edu_years, controls gender, age, hukou.

城乡 / 户籍收入差距分解: DV ind_income, IV hukou, samp_type, controls age, edu_years, occupation.

variables · 17 entries

namelabeltype/roledata filedescription · keywords
pid个人ID
Person ID
identifier / identifierperson个人唯一标识符
个人编号
hid家庭ID
Household ID
identifier / identifierperson家庭唯一标识符
家庭编号
samp_type样本类型
Sample type
categorical / controlperson三个分样本之一
样本类型城镇农村流动
gender性别
Gender
binary / controlperson受访者性别
性别
age年龄
Age
continuous / controlperson受访者年龄
年龄
education受教育程度
Education attainment
ordinal / iv,controlperson最高学历分类
教育学历受教育
edu_years受教育年限
Years of schooling
continuous / iv,controlperson完成教育累计年限
教育年限受教育年限
hukou户口性质
Hukou status
binary / iv,controlperson户口类型
户口户籍农业户口非农
ind_income个人年总收入
Individual annual total income
continuous / dv,ivperson个人来自所有来源的年度税前总收入
收入个人收入总收入
wage_income工资性收入
Wage income
continuous / dvperson受雇/被雇佣的劳动报酬
工资工资收入
transfer_income转移性收入
Transfer income
continuous / controlperson退休金、低保、失业金等转移支付
转移收入养老金社保
occupation职业类型
Occupation
categorical / controlperson国家标准职业分类大类
职业工种
marital婚姻状况
Marital status
categorical / controlperson婚姻状况
婚姻
hh_income家庭年总收入
Household annual total income
continuous / dv,ivhousehold家庭年度总收入
家庭收入家庭总收入
hh_income_pc家庭人均年收入
Per-capita household income
continuous / dv,ivhousehold家庭年总收入除以家庭人口
人均收入家庭人均
hh_size家庭规模
Household size
continuous / controlhousehold家庭常住人口数
家庭规模家庭人数
province省份
Province
categorical / controlhousehold调查省份代码
省份地区

Other versions of the same database

chip2018

use these variables

The codebook is an open lookup. The Wizard consumes the same codebook to drive code generation — upload your data and the system auto-recognises variables, applies cleaning rules, recommends research designs, runs regressions and produces a Word report.