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Does Saving Anticipate Declining Labor Income? An Alternative Test of the Permanent Income Hypothesis

John Y. Campbell
- 01 Nov 1987 - 
- Vol. 55, Iss: 6, pp 1249-1273
TLDR
This paper showed that saving should be at least as good a predictor of declines in labor income as any other for ecast that can be constructed from publicly available information, even when income is stationary in first differ ences rather than levels.
Abstract
The permanent income hypothesis implies that people save because they rationally expect their permanent income to decline; they save "for a rainy day." It follows that saving should be at l east as good a predictor of declines in labor income as any other for ecast that can be constructed from publicly available information. Th e paper tests this hitherto ignored implication of the permanent inco me hypothesis, using quarterly aggregate data for the period 1953-84 in the United States. By contrast with much of the recent literature, the results here are valid when income is stationary in first differ ences rather than levels. Copyright 1987 by The Econometric Society.

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Journal ArticleDOI

A simple estimator of cointegrating vectors in higher order integrated systems

James H. Stock, +1 more
- 01 Jul 1993 - 
TL;DR: In this paper, an efficient estimator of cointegrating vectors is presented for systems involving deterministic components and variables of differing, higher orders of integration. But the estimators are computed using GLS or OLS, and Wald Statistics constructed from these estimators have asymptotic x 2 distributions.
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Cointegration and Tests of Present Value Models

TL;DR: In this paper, the authors proposed a cointegrated model where a variable Y[sub t] is proportional to the present value, with constant discount rate, of expected future values of a variable y[subt] and the "spread" S [sub t]= Y[Sub t] -[theta sub t] will be stationary for some [theta] whether or not y(sub t) must be differenced to induce stationarity.
Posted Content

Saving and Liquidity Constraints

TL;DR: In this paper, the authors consider the problem of saving when consumers are not permitted to borrow, and the ability of such a theory to account for some of the stylized facts of saving behavior.
Posted Content

Consumption, Income, and Interest Rates: Reinterpreting the Time Series Evidence

TL;DR: This paper argued that the time-series data on consumption, income, and interest rates are best viewed as generated not by a single representative consumer but by two groups of consumers: half the consumers are forward-looking and consume their permanent income, but are extremely reluctant to substitute consumption temporarily.
Posted Content

Understanding Risk and Return

TL;DR: This paper used an equilibrium multifactor model to interpret the cross-sectional pattern of postwar U.S. stock and bond returns and found that in the presence of human capital or stock market mean reversion, the coefficient of relative risk aversion is much higher than the price of stock market risk.
References
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ReportDOI

A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix

Whitney K. Newey, +1 more
- 01 May 1987 - 
TL;DR: In this article, a simple method of calculating a heteroskedasticity and autocorrelation consistent covariance matrix that is positive semi-definite by construction is described.
Book

Introduction to Statistical Time Series

TL;DR: In this paper, Fourier analysis is used to estimate the mean and autocorrelations of the Fourier spectral properties of a Fourier wavelet and the estimated spectrum of the wavelet.
Posted Content

Stochastic Implications of the Life Cycle-Permanent Income Hypothesis: Theory and Evidence

TL;DR: In this paper, the marginal utility of consumption evolves according to a random walk with trend, and consumption itself should evolve in the same way, and the evidence supports a modified version of the life cycle permanent income hypothesis.
Posted Content

Cointegration and Tests of Present Value Models

TL;DR: In this paper, the authors proposed a cointegrated model where a variable Y[sub t] is proportional to the present value, with constant discount rate, of expected future values of a variable y[subt] and the "spread" S [sub t]= Y[Sub t] -[theta sub t] will be stationary for some [theta] whether or not y(sub t) must be differenced to induce stationarity.
Journal ArticleDOI

Cointegration and Tests of Present Value Models

TL;DR: In this paper, the authors proposed a cointegrated model where a variable Y[sub t] is proportional to the present value, with constant discount rate, of expected future values of a variable y[subt] and the "spread" S [sub t]= Y[Sub t] -[theta sub t] will be stationary for some [theta] whether or not y(sub t) must be differenced to induce stationarity.