Permanent income, current income, and consumption: Evidence from two panel data sets

被引:88
作者
Lusardi, A
机构
关键词
Euler equations; excess sensitivity; method of moments;
D O I
10.2307/1392101
中图分类号
F [经济];
学科分类号
02 ;
摘要
In this article, I estimate Euler equations-that is, the first-order conditions of the consumers' maximization problem-using data from two data sets. Consumption data are taken from the Consumer Expenditure Survey. Income data are taken from the Panel Study of Income Dynamics. Because the data for the estimation come from two samples, I use a generalization of the instrumental variables estimator-the two-sample instrumental variables estimator. I find evidence that consumption is excessively sensitive to predictable income growth. The estimates of the coefficient of excess sensitivity for three consumption measures range from .2 to .5.
引用
收藏
页码:81 / 90
页数:10
相关论文
共 26 条
[11]  
Chamberlain G., 1984, HDB ECONOMETRICS, V2, P1247
[12]  
Deaton A., 1992, CLARENDON LECT EC
[13]   INDIVIDUAL RETIREMENT AND SAVINGS BEHAVIOR [J].
DIAMOND, PA ;
HAUSMAN, JA .
JOURNAL OF PUBLIC ECONOMICS, 1984, 23 (1-2) :81-114
[14]   THE ADJUSTMENT OF CONSUMPTION TO CHANGING EXPECTATIONS ABOUT FUTURE INCOME [J].
FLAVIN, MA .
JOURNAL OF POLITICAL ECONOMY, 1981, 89 (05) :974-1009
[15]   THE SENSITIVITY OF CONSUMPTION TO TRANSITORY INCOME - ESTIMATES FROM PANEL DATA ON HOUSEHOLDS [J].
HALL, RE ;
MISHKIN, FS .
ECONOMETRICA, 1982, 50 (02) :461-481
[16]   STOCHASTIC IMPLICATIONS OF THE LIFE CYCLE PERMANENT INCOME HYPOTHESIS - THEORY AND EVIDENCE [J].
HALL, RE .
JOURNAL OF POLITICAL ECONOMY, 1978, 86 (06) :971-987
[17]   SENSITIVITY OF TESTS OF THE PIH TO ALTERNATIVE CONSUMPTION PROXIES [J].
LAGE, MJ .
ECONOMICS LETTERS, 1991, 36 (04) :429-433
[18]  
LUSARDI A, 1992, THESIS PRINCETON U
[19]   HALL CONSUMPTION HYPOTHESIS AND DURABLE GOODS [J].
MANKIW, NG .
JOURNAL OF MONETARY ECONOMICS, 1982, 10 (03) :417-425
[20]   UNANTICIPATED AGGREGATE DISTURBANCES AND TESTS OF THE LIFE-CYCLE CONSUMPTION MODEL USING PANEL DATA [J].
MARIGER, RP ;
SHAW, K .
REVIEW OF ECONOMICS AND STATISTICS, 1993, 75 (01) :48-56