Evaluating a consumption function with precautionary savings and habit formation under a general income process
被引:3
|
作者:
Reis Gomes, Fabio Augusto
论文数: 0引用数: 0
h-index: 0
机构:
Univ Sao Paulo, FEA RP, Dept Econ, Av Bandeirantes 3900, BR-14040905 Ribeirao Preto, SP, BrazilUniv Sao Paulo, FEA RP, Dept Econ, Av Bandeirantes 3900, BR-14040905 Ribeirao Preto, SP, Brazil
Reis Gomes, Fabio Augusto
[1
]
机构:
[1] Univ Sao Paulo, FEA RP, Dept Econ, Av Bandeirantes 3900, BR-14040905 Ribeirao Preto, SP, Brazil
In order to derive closed-form solutions for the consumption function under precautionary motive, the literature adopts restrictive assumptions about the consumer's income process, ranging from a stationary process to a random walk. To avoid such restrictions, I derive a consumption function with precautionary savings and habit formation under any ARIMA(p, 1, q) process. Empirically, I evaluate this general consumption function for aggregate U.S. data using different approaches to set the structural parameters. The findings imply that the larger the habit strength, the larger the level of income risk necessary to make the precautionary motive relevant. And, for reasonable parameters values, the aggregate time series on income is incapable of eliciting expressive precautionary savings. (C) 2019 Board of Trustees of the University of Illinois. Published by Elsevier Inc. All rights reserved.
机构:
Cent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 100081, Peoples R ChinaCent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 100081, Peoples R China
Liu, Jingzhen
Yan, Shiqi
论文数: 0引用数: 0
h-index: 0
机构:
Cent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 100081, Peoples R ChinaCent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 100081, Peoples R China
Yan, Shiqi
Jiang, Shan
论文数: 0引用数: 0
h-index: 0
机构:
Cent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 100081, Peoples R ChinaCent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 100081, Peoples R China
Jiang, Shan
Wei, Jiaqin
论文数: 0引用数: 0
h-index: 0
机构:
East China Normal Univ, Sch Stat, Key Lab Adv Theory & Applicat Stat & Data Sci MOE, Shanghai 200241, Peoples R ChinaCent Univ Finance & Econ, China Inst Actuarial Sci, Beijing 100081, Peoples R China