心理学报 ›› 2025, Vol. 57 ›› Issue (7): 1281-1294.doi: 10.3724/SP.J.1041.2025.1281 cstr: 32110.14.2025.1281
刘晓敏1, 王雪1, 向虹宇1(
), 陈增祥2(
), 苏凇1(
)
收稿日期:2024-07-09
发布日期:2025-04-24
出版日期:2025-07-25
通讯作者:
向虹宇, E-mail: xianghy@bnu.edu.cn;作者简介:第一联系人:刘晓敏和王雪为本文的共同第一作者。
基金资助:
LIU Xiaomin1, WANG Xue1, XIANG Hongyu1(
), CHEN Zengxiang2(
), SU Song1(
)
Received:2024-07-09
Online:2025-04-24
Published:2025-07-25
摘要:
基于资源稀缺的自我调节模型, 本文探索了财务稀缺心态对共享消费的影响及其内在机制。通过6项研究发现, 尽管共享消费具有单次花费低、效用多样化的优势, 能够为财务稀缺个体带来诸多益处, 但是具有财务稀缺心态的个体更不愿意参与共享消费, 我们将这一现象称为“共享消费悖论”。进一步研究发现, 财务稀缺心态主要激活控制恢复路径, 增强消费者对商品的心理所有权需求, 从而阻碍共享消费。本文还发现“强调产品归属性”可以消除财务稀缺心态对共享消费的负面影响, 以及当共享产品的价格优势凸显或个体作为共享物品的提供者时, 这种负面影响也会被削弱。
中图分类号:
刘晓敏, 王雪, 向虹宇, 陈增祥, 苏凇. (2025). “共享消费悖论”:财务稀缺心态阻碍共享消费. 心理学报, 57(7), 1281-1294.
LIU Xiaomin, WANG Xue, XIANG Hongyu, CHEN Zengxiang, SU Song. (2025). The shared consumption paradox: Financial scarcity hinders shared consumption. Acta Psychologica Sinica, 57(7), 1281-1294.
| 研究 | 自变量 | 因变量测量 | 主要研究目的 |
|---|---|---|---|
| 研究1 | 客观家庭年收入 | 是否租赁住房 | 验证H1:财务稀缺心态抑制共享消费 |
| 研究2 | 财务稀缺心态 | 羽毛球拍租赁意愿 | |
| 研究3 | 财务稀缺心态 | 租赁(vs.购买)露营装备 | 验证H2:心理所有权的中介效应 |
| 研究4 | 财务稀缺心态 | 露营装备租赁意愿 | 验证H2:调节方式检验中介效应 |
| 研究5 | 财务稀缺心态 | 租赁(vs.购买)露营装备 | 验证H3:价格优势凸显的调节作用 |
| 研究6 | 财务稀缺心态 | 出租闲置汽车意愿 | 验证H4:角色转换的调节作用 |
表1 研究汇总
| 研究 | 自变量 | 因变量测量 | 主要研究目的 |
|---|---|---|---|
| 研究1 | 客观家庭年收入 | 是否租赁住房 | 验证H1:财务稀缺心态抑制共享消费 |
| 研究2 | 财务稀缺心态 | 羽毛球拍租赁意愿 | |
| 研究3 | 财务稀缺心态 | 租赁(vs.购买)露营装备 | 验证H2:心理所有权的中介效应 |
| 研究4 | 财务稀缺心态 | 露营装备租赁意愿 | 验证H2:调节方式检验中介效应 |
| 研究5 | 财务稀缺心态 | 租赁(vs.购买)露营装备 | 验证H3:价格优势凸显的调节作用 |
| 研究6 | 财务稀缺心态 | 出租闲置汽车意愿 | 验证H4:角色转换的调节作用 |
| 变量 | (1) 总体样本 | (2) 高收入组 | (3) 低收入组 | (4) 均值差异 |
|---|---|---|---|---|
| 租赁住房占比(%) | 5.79(23.36) | 8.46(27.83) | 3.77(19.04) | −4.69***[0.01] |
| 城镇占比(%) | 53.15(49.91) | 74.45(43.62) | 36.95(48.28) | −37.50***[0.01] |
| 家庭净资产(对数值) | 12.55(1.43) | 13.59(1.09) | 11.77 (1.12) | −1.82***[0.03] |
| 家庭房产数量(套) | 0.28(0.61) | 0.53(0.78) | 0.10(0.33) | −0.43***[0.02] |
| 家庭规模(人) | 3.44 (1.78) | 3.83(1.76) | 3.16(1.74) | −0.67***[0.05] |
| 童年经济地位 | 3.28(1.15) | 3.19(1.06) | 3.34(1.21) | 0.15***[0.03] |
| 年龄(岁) | 51.41(14.28) | 47.23(13.79) | 54.58(13.83) | 7.35***[0.38] |
| 男性占比(%) | 72.25 (44.78) | 75.15(43.22) | 70.04(45.81) | −0.05***[0.01] |
表2 家庭年收入的描述统计分析
| 变量 | (1) 总体样本 | (2) 高收入组 | (3) 低收入组 | (4) 均值差异 |
|---|---|---|---|---|
| 租赁住房占比(%) | 5.79(23.36) | 8.46(27.83) | 3.77(19.04) | −4.69***[0.01] |
| 城镇占比(%) | 53.15(49.91) | 74.45(43.62) | 36.95(48.28) | −37.50***[0.01] |
| 家庭净资产(对数值) | 12.55(1.43) | 13.59(1.09) | 11.77 (1.12) | −1.82***[0.03] |
| 家庭房产数量(套) | 0.28(0.61) | 0.53(0.78) | 0.10(0.33) | −0.43***[0.02] |
| 家庭规模(人) | 3.44 (1.78) | 3.83(1.76) | 3.16(1.74) | −0.67***[0.05] |
| 童年经济地位 | 3.28(1.15) | 3.19(1.06) | 3.34(1.21) | 0.15***[0.03] |
| 年龄(岁) | 51.41(14.28) | 47.23(13.79) | 54.58(13.83) | 7.35***[0.38] |
| 男性占比(%) | 72.25 (44.78) | 75.15(43.22) | 70.04(45.81) | −0.05***[0.01] |
| 变量 | Model 1 (Unmatched sample) | Model 2 (Matched sample) | ||
|---|---|---|---|---|
| Coef. | Robust SE | Coef. | Robust SE | |
| 家庭年收入(对数值) | 0.68*** | 0.09 | 1.52*** | 0.22 |
| 地区类型(城镇 = 1) | 1.13*** | 0.15 | 1.16*** | 0.19 |
| 家庭净资产(对数值) | −0.87*** | 0.06 | −0.96*** | 0.08 |
| 家庭房产数量 | 0.74*** | 0.11 | 1.15*** | 0.16 |
| 家庭规模(人) | −0.30*** | 0.04 | −0.24*** | 0.06 |
| 童年经济地位 | 0.09 | 0.06 | 0.06 | 0.07 |
| 年龄(岁) | −0.05*** | 0.06 | −0.06*** | 0.01 |
| 性别(男 = 1) | 0.41** | 0.13 | 0.45* | 0.18 |
| 常数项 | 3.28** | 0.97 | 11.42*** | 0.98 |
| 省份固定效应 | 是 | 是 | ||
| 观测值 | 7, 537 | 4, 648 | ||
| Model fit (Wald χ2) | 869.11 | 520.82 | ||
| Pseudo R2 | 0.36 | 0.40 | ||
| Log likelihood | −1125.90 | −649.60 | ||
表3 家庭年收入预测住房属性的回归分析结果(被解释变量:住房属性)
| 变量 | Model 1 (Unmatched sample) | Model 2 (Matched sample) | ||
|---|---|---|---|---|
| Coef. | Robust SE | Coef. | Robust SE | |
| 家庭年收入(对数值) | 0.68*** | 0.09 | 1.52*** | 0.22 |
| 地区类型(城镇 = 1) | 1.13*** | 0.15 | 1.16*** | 0.19 |
| 家庭净资产(对数值) | −0.87*** | 0.06 | −0.96*** | 0.08 |
| 家庭房产数量 | 0.74*** | 0.11 | 1.15*** | 0.16 |
| 家庭规模(人) | −0.30*** | 0.04 | −0.24*** | 0.06 |
| 童年经济地位 | 0.09 | 0.06 | 0.06 | 0.07 |
| 年龄(岁) | −0.05*** | 0.06 | −0.06*** | 0.01 |
| 性别(男 = 1) | 0.41** | 0.13 | 0.45* | 0.18 |
| 常数项 | 3.28** | 0.97 | 11.42*** | 0.98 |
| 省份固定效应 | 是 | 是 | ||
| 观测值 | 7, 537 | 4, 648 | ||
| Model fit (Wald χ2) | 869.11 | 520.82 | ||
| Pseudo R2 | 0.36 | 0.40 | ||
| Log likelihood | −1125.90 | −649.60 | ||
| 变量 | 分城镇/农村子样本 | 更换财务稀缺心态指标 | 纳入控制变量 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| (1)城镇 | (2)农村 | (3)个体年收入 | (4)户主教育水平 | (5)户主就业状况 | ||||||
| PSM前 | PSM后 | PSM前 | PSM后 | PSM前 | PSM后 | PSM前 | PSM后 | PSM前 | PSM后 | |
| 财务稀缺心态 | 0.67*** (0.11) | 1.52*** (0.26) | 0.77*** (0.18) | 1.26** (0.43) | 0.49*** (0.06) | 1.05*** (0.14) | 0.13** (0.05) | 0.39+ (0.21) | 0.62*** (0.09) | 1.51*** (0.29) |
| 省份固定效应 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 控制变量 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 |
| 观测值 | 4, 068 | 2, 424 | 3, 142 | 1, 242 | 18, 206 | 12, 322 | 7, 716 | 4, 964 | 7, 517 | 3, 419 |
表4 稳健性检验(被解释变量:住房属性)
| 变量 | 分城镇/农村子样本 | 更换财务稀缺心态指标 | 纳入控制变量 | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| (1)城镇 | (2)农村 | (3)个体年收入 | (4)户主教育水平 | (5)户主就业状况 | ||||||
| PSM前 | PSM后 | PSM前 | PSM后 | PSM前 | PSM后 | PSM前 | PSM后 | PSM前 | PSM后 | |
| 财务稀缺心态 | 0.67*** (0.11) | 1.52*** (0.26) | 0.77*** (0.18) | 1.26** (0.43) | 0.49*** (0.06) | 1.05*** (0.14) | 0.13** (0.05) | 0.39+ (0.21) | 0.62*** (0.09) | 1.51*** (0.29) |
| 省份固定效应 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 | 是 |
| 控制变量 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 | 控制 |
| 观测值 | 4, 068 | 2, 424 | 3, 142 | 1, 242 | 18, 206 | 12, 322 | 7, 716 | 4, 964 | 7, 517 | 3, 419 |
| 概念类别 | 具体定义 | 核心特征 | 文献来源 |
|---|---|---|---|
| 狭义 共享消费 | 基于使用权的消费 | 通过市场媒介进行交易, 不发生所有权转移的消费模式 | Bardhi & Eckhardt ( |
| 流动消费 | 暂时性的、基于访问的、去物质化的消费模式 | Bardhi & Eckhardt ( | |
| 基于使用权的消费 | 通过商业平台中介, 消费者临时使用商品或服务 | Trujillo-Torres et al., ( | |
| 广义 共享消费 | 协作消费 | 基于产品和服务的分享、交换、交易或租赁, 以取得所有权使用的一种消费模式 | Botsman & Rogers ( |
| 协作消费 | 人们为了获得一定酬金或其他形式的补偿, 对资源的获取和分配所进行的协调, 包括租赁、借贷, 物物交易、贸易和互换等活动 | Belk ( | |
| 共享消费 | 产消合一, 消费者可供需双向参与 | Wu et al., ( |
附表1 共享消费定义汇总
| 概念类别 | 具体定义 | 核心特征 | 文献来源 |
|---|---|---|---|
| 狭义 共享消费 | 基于使用权的消费 | 通过市场媒介进行交易, 不发生所有权转移的消费模式 | Bardhi & Eckhardt ( |
| 流动消费 | 暂时性的、基于访问的、去物质化的消费模式 | Bardhi & Eckhardt ( | |
| 基于使用权的消费 | 通过商业平台中介, 消费者临时使用商品或服务 | Trujillo-Torres et al., ( | |
| 广义 共享消费 | 协作消费 | 基于产品和服务的分享、交换、交易或租赁, 以取得所有权使用的一种消费模式 | Botsman & Rogers ( |
| 协作消费 | 人们为了获得一定酬金或其他形式的补偿, 对资源的获取和分配所进行的协调, 包括租赁、借贷, 物物交易、贸易和互换等活动 | Belk ( | |
| 共享消费 | 产消合一, 消费者可供需双向参与 | Wu et al., ( |
| 变量名 | 变量编码说明 |
|---|---|
| 住房属性 | 租赁 = 1, 其他 = 0 |
| 家庭年收入(对数值) | 根据公式ln (income+1)取对数, income表示2019年家庭总收入 |
| 地区类型 | 城镇 = 1, 农村 = 0 |
| 家庭净资产(对数值) | 根据公式ln (asset+1)取对数, asset表示2019年家庭净资产 |
| 家庭房产数量 | 除租来的房子, 家庭拥有住房数量(套) |
| 家庭规模 | 家庭成员数(人) |
| 童年经济地位 | 14 岁家庭地位 |
| 户主年龄 | 2020减去出生年份(岁) |
| 户主性别 | 男 = 1, 女 = 0 |
| 个人年收入(对数值) | 根据公式ln (income+1)取对数, income表示2019年个人总收入 |
| 户主受教育年限 | 没上过学 = 0, 文盲/半文盲 = 1, 小学 = 2, 初中 =3, 高中/中专/技校/职高 = 4, 大专 = 5, 大学本科 = 6, 硕士研究生 = 7, 博士研究生 = 8 |
| 工作状态 | 在业 = 1, 失业/退出就业市场 = 0 |
附表2 变量定义
| 变量名 | 变量编码说明 |
|---|---|
| 住房属性 | 租赁 = 1, 其他 = 0 |
| 家庭年收入(对数值) | 根据公式ln (income+1)取对数, income表示2019年家庭总收入 |
| 地区类型 | 城镇 = 1, 农村 = 0 |
| 家庭净资产(对数值) | 根据公式ln (asset+1)取对数, asset表示2019年家庭净资产 |
| 家庭房产数量 | 除租来的房子, 家庭拥有住房数量(套) |
| 家庭规模 | 家庭成员数(人) |
| 童年经济地位 | 14 岁家庭地位 |
| 户主年龄 | 2020减去出生年份(岁) |
| 户主性别 | 男 = 1, 女 = 0 |
| 个人年收入(对数值) | 根据公式ln (income+1)取对数, income表示2019年个人总收入 |
| 户主受教育年限 | 没上过学 = 0, 文盲/半文盲 = 1, 小学 = 2, 初中 =3, 高中/中专/技校/职高 = 4, 大专 = 5, 大学本科 = 6, 硕士研究生 = 7, 博士研究生 = 8 |
| 工作状态 | 在业 = 1, 失业/退出就业市场 = 0 |
| 变量 | PSM前 | PSM后 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| 高收入家庭 N =2, 282 | 低收入家庭 N = 3, 001 | |% bias| | p | 高收入家庭 N = 1, 999 | 低收入家庭 N = 2, 655 | |% bias| | p | ||
| 城镇占比(%) | 74.45 | 36.95 | 81.5 | .000 | 70.94 | 72.34 | 3.0 | .326 | |
| 家庭净资产(对数值) | 13.59 | 11.77 | 164.7 | .000 | 13.42 | 13.37 | 4.7 | .113 | |
| 家庭房产数量(套) | 0.53 | 0.10 | 71.2 | .000 | 0.39 | 0.41 | 4.3 | .197 | |
| 家庭规模(人) | 3.83 | 3.16 | 38.3 | .000 | 3.77 | 3.80 | 1.8 | .589 | |
| 童年经济地位 | 3.19 | 3.34 | 12.8 | .000 | 3.21 | 3.18 | 3.2 | .307 | |
| 年龄(岁) | 47.23 | 54.58 | 53.2 | .000 | 48.17 | 47.46 | 5.1 | .095 | |
| 男性占比(%) | 75.15 | 70.04 | 11.5 | .000 | 74.64 | 72.89 | 3.9 | .208 | |
附表3a 高家庭年收入和低家庭年收入的描述性统计分析
| 变量 | PSM前 | PSM后 | |||||||
|---|---|---|---|---|---|---|---|---|---|
| 高收入家庭 N =2, 282 | 低收入家庭 N = 3, 001 | |% bias| | p | 高收入家庭 N = 1, 999 | 低收入家庭 N = 2, 655 | |% bias| | p | ||
| 城镇占比(%) | 74.45 | 36.95 | 81.5 | .000 | 70.94 | 72.34 | 3.0 | .326 | |
| 家庭净资产(对数值) | 13.59 | 11.77 | 164.7 | .000 | 13.42 | 13.37 | 4.7 | .113 | |
| 家庭房产数量(套) | 0.53 | 0.10 | 71.2 | .000 | 0.39 | 0.41 | 4.3 | .197 | |
| 家庭规模(人) | 3.83 | 3.16 | 38.3 | .000 | 3.77 | 3.80 | 1.8 | .589 | |
| 童年经济地位 | 3.19 | 3.34 | 12.8 | .000 | 3.21 | 3.18 | 3.2 | .307 | |
| 年龄(岁) | 47.23 | 54.58 | 53.2 | .000 | 48.17 | 47.46 | 5.1 | .095 | |
| 男性占比(%) | 75.15 | 70.04 | 11.5 | .000 | 74.64 | 72.89 | 3.9 | .208 | |
| Sample | Ps R2 | LR chi2 | P > chi2 | MeanBias | MedBias | B | R | %Var |
|---|---|---|---|---|---|---|---|---|
| Unmatched | .436 | 3147.95 | .000 | 61.9 | 53.2 | 188.4* | 0.92 | 40 |
| Matched | .002 | 12.34 | .090 | 3.7 | 3.9 | 11.10 | 0.95 | 100 |
附表3b 平衡性检查
| Sample | Ps R2 | LR chi2 | P > chi2 | MeanBias | MedBias | B | R | %Var |
|---|---|---|---|---|---|---|---|---|
| Unmatched | .436 | 3147.95 | .000 | 61.9 | 53.2 | 188.4* | 0.92 | 40 |
| Matched | .002 | 12.34 | .090 | 3.7 | 3.9 | 11.10 | 0.95 | 100 |
| 变量 | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Coef. | Robust SE | Coef. | Robust SE | Coef. | Robust SE | Coef. | Robust SE | Coef. | Robust SE | |
| 家庭年收入(对数值) | 0.34*** | 0.04 | 0.22*** | 0.04 | 0.13** | 0.04 | 1.01*** | 0.08 | 0.68*** | 0.09 |
| 地区类型:城镇 = 1 | 1.12*** | 0.12 | 1.13*** | 0.15 | 1.13*** | 0.15 | ||||
| 家庭净资产(对数值) | −0.96*** | 0.05 | −0.87*** | 0.06 | ||||||
| 家庭房产数量 | 0.75*** | 0.10 | 0.74*** | 0.11 | ||||||
| 家庭规模(人) | −0.42*** | 0.04 | −0.30*** | 0.04 | ||||||
| 童年经济地位 | 0.09 | 0.06 | ||||||||
| 年龄(岁) | −0.05*** | 0.01 | ||||||||
| 性别:男 = 1 | 0.41** | 0.13 | ||||||||
| 常数项 | −6.27*** | 0.43 | −3.04*** | 0.49 | −2.93*** | 0.51 | −0.48 | 0.83 | 3.28** | 0.97 |
| 省份固定效应 | 否 | 是 | 是 | 是 | 是 | |||||
| 观测值 | 9, 275 | 9, 243 | 8, 800 | 7, 675 | 7, 537 | |||||
| Model fit (Wald χ2) | 77.99 | 423.67 | 516.43 | 826.51 | 869.11 | |||||
| Pseudo R2 | 0.02 | 0.09 | 0.12 | 0.31 | 0.36 | |||||
| Log likelihood | −2333.74 | −2164.47 | −1873.60 | −1232.03 | −1125.90 | |||||
附表4a 家庭年收入对房屋租赁行为的影响(基于匹配前样本)
| 变量 | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Coef. | Robust SE | Coef. | Robust SE | Coef. | Robust SE | Coef. | Robust SE | Coef. | Robust SE | |
| 家庭年收入(对数值) | 0.34*** | 0.04 | 0.22*** | 0.04 | 0.13** | 0.04 | 1.01*** | 0.08 | 0.68*** | 0.09 |
| 地区类型:城镇 = 1 | 1.12*** | 0.12 | 1.13*** | 0.15 | 1.13*** | 0.15 | ||||
| 家庭净资产(对数值) | −0.96*** | 0.05 | −0.87*** | 0.06 | ||||||
| 家庭房产数量 | 0.75*** | 0.10 | 0.74*** | 0.11 | ||||||
| 家庭规模(人) | −0.42*** | 0.04 | −0.30*** | 0.04 | ||||||
| 童年经济地位 | 0.09 | 0.06 | ||||||||
| 年龄(岁) | −0.05*** | 0.01 | ||||||||
| 性别:男 = 1 | 0.41** | 0.13 | ||||||||
| 常数项 | −6.27*** | 0.43 | −3.04*** | 0.49 | −2.93*** | 0.51 | −0.48 | 0.83 | 3.28** | 0.97 |
| 省份固定效应 | 否 | 是 | 是 | 是 | 是 | |||||
| 观测值 | 9, 275 | 9, 243 | 8, 800 | 7, 675 | 7, 537 | |||||
| Model fit (Wald χ2) | 77.99 | 423.67 | 516.43 | 826.51 | 869.11 | |||||
| Pseudo R2 | 0.02 | 0.09 | 0.12 | 0.31 | 0.36 | |||||
| Log likelihood | −2333.74 | −2164.47 | −1873.60 | −1232.03 | −1125.90 | |||||
| 变量 | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Coef. | Robust SE | Coef. | Robust SE | Coef. | Robust SE | Coef. | Robust SE | Coef. | Robust SE | ||
| 家庭年收入(对数值) | 0.69*** | 0.10 | 0.45*** | 0.11 | 0.22+ | 0.13 | 2.14*** | 0.20 | 1.52*** | 0.22 | |
| 地区类型:城镇 = 1 | 1.22*** | 0.15 | 1.24*** | 0.19 | 1.16*** | 0.19 | |||||
| 家庭净资产(对数值) | −1.03*** | 0.07 | −0.96*** | 0.08 | |||||||
| 家庭房产数量 | 1.08*** | 0.15 | 1.15*** | 0.16 | |||||||
| 家庭规模(人) | −0.38*** | 0.06 | −0.24*** | 0.06 | |||||||
| 童年经济地位 | 0.06 | 0.07 | |||||||||
| 年龄(岁) | −0.06*** | 0.01 | |||||||||
| 性别:男 = 1 | 0.45* | 0.18 | |||||||||
| 常数项 | −3.00*** | 0.08 | −0.80 ** | 0.25 | −1.59*** | 0.29 | 10.47*** | 0.91 | 11.42*** | 0.98 | |
| 省份固定效应 | 否 | 是 | 是 | 是 | 是 | ||||||
| 观测值 | 6, 494 | 6, 475 | 6, 175 | 4, 973 | 4, 648 | ||||||
| Model fit (Wald χ2) | 46.45 | 303.60 | 380.11 | 461.25 | 520.82 | ||||||
| Pseudo R2 | 0.02 | 0.09 | 0.13 | 0.34 | 0.40 | ||||||
| Log likelihood | −1548.59 | −1423.05 | −1229.21 | −747.50 | −649.60 | ||||||
附表4b 家庭年收入对房屋租赁行为的影响(基于匹配后样本)
| 变量 | Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Coef. | Robust SE | Coef. | Robust SE | Coef. | Robust SE | Coef. | Robust SE | Coef. | Robust SE | ||
| 家庭年收入(对数值) | 0.69*** | 0.10 | 0.45*** | 0.11 | 0.22+ | 0.13 | 2.14*** | 0.20 | 1.52*** | 0.22 | |
| 地区类型:城镇 = 1 | 1.22*** | 0.15 | 1.24*** | 0.19 | 1.16*** | 0.19 | |||||
| 家庭净资产(对数值) | −1.03*** | 0.07 | −0.96*** | 0.08 | |||||||
| 家庭房产数量 | 1.08*** | 0.15 | 1.15*** | 0.16 | |||||||
| 家庭规模(人) | −0.38*** | 0.06 | −0.24*** | 0.06 | |||||||
| 童年经济地位 | 0.06 | 0.07 | |||||||||
| 年龄(岁) | −0.06*** | 0.01 | |||||||||
| 性别:男 = 1 | 0.45* | 0.18 | |||||||||
| 常数项 | −3.00*** | 0.08 | −0.80 ** | 0.25 | −1.59*** | 0.29 | 10.47*** | 0.91 | 11.42*** | 0.98 | |
| 省份固定效应 | 否 | 是 | 是 | 是 | 是 | ||||||
| 观测值 | 6, 494 | 6, 475 | 6, 175 | 4, 973 | 4, 648 | ||||||
| Model fit (Wald χ2) | 46.45 | 303.60 | 380.11 | 461.25 | 520.82 | ||||||
| Pseudo R2 | 0.02 | 0.09 | 0.13 | 0.34 | 0.40 | ||||||
| Log likelihood | −1548.59 | −1423.05 | −1229.21 | −747.50 | −649.60 | ||||||
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