In this paper we show that some of the predictions of models of consumer intertemporal optimization are in line with the patterns of nondurable expenditure observed in U.S. household-level data. We propose a flexible specification of preferences that allows multiple commodities and yields empirically tractable equations. We estimate preference parameters using the only U.S. micro data set with complete consumption information. We show that previous rejections can be explained by the simplifying assumptions made in previous studies. We also show that results obtained using good consumption or aggregate data can be misleading.

The aim of this paper is to assess the importance of using micro-level data in the econometric analysis of consumer demand. To do this we utilize a time series of repeated cross sections covering some 4,000 households in each of 15 years. Employing a number of different aggregation procedures, we conclude that aggregate data alone are unlikely to produce reliable estimates of structural price and income coefficients. However, once certain "aggregation factors" as well as trend and seasonal components are included, an aggregate model is not necessarily outperformed across all demand equations in terms of forecasting ability.

Standard tests of portfolio efficiency neglect the existence of illiquid wealth. The most important illiquid asset in household portfolios is housing: if housing stock adjustments are infrequent, optimal portfolios in periods of no adjustment are affected by housing price risk through a hedge term and tests for portfolio efficiency of financial assets must be run conditionally upon housing wealth. We use Italian household portfolio data and time series on financial assets and housing stock returns to assess whether actual portfolios are efficient. We find that housing wealth plays a key role in determining whether portfolios chosen by homeowners are efficient.

This paper provides a critical survey of the large literature on the life cycle model of consumption, both from an empirical and a theoretical point of view. It discusses several approaches that have been taken in the literature to bring the model to the data, their empirical successes, and their failures. Finally, the paper reviews a number of changes to the standard life cycle model that could help solve the remaining empirical puzzles.

In this paper we present empirical evidence on aggregation problems with Euler equations for consumption. Our main results are: estimates of the elasticity of intertemporal substitution for consumption are consistently lower for aggregate data than for average cohort data and the theoretical model is statistically rejected on aggregate data, not rejected on average cohort data. In trying to explain these differences we find that a major role is played by the non-linearity of the estimable equation and by omitted demographic factors (normally unobservable on aggregate data). However, even when these sources of aggregation bias are corrected for, the estimates of the elasticity of intertemporal substitution obtained from aggregate data remain lower than those obtained from average cohort data, and excess sensitivity tests reject the implications of the model. This can be explained as the result of imposing identical coefficients to cohorts who differ in preferences and/or opportunity sets.

Costas Meghir, Guglielmo Weber, Intertemporal Nonseparability or Borrowing Restrictions? A Disaggregate Analysis using a U.S. Consumption Panel, Econometrica, Vol. 64, No. 5 (Sep., 1996), pp. 1151-1181

We address the issue of the efficiency of household portfolios in the presence of housing risk. We treat housing stock as an asset and rents as a stochastic liability stream: over the life cycle, households can be short or long in their net-housing position. Efficient financial portfolios are the sum of a standard Markowitz portfolio and a housing risk hedge term that multiplies net housing wealth. Our empirical results show that net housing plays a key role in determining which household portfolios are inefficient. The largest proportion of inefficient portfolios obtains among those with positive net housing, who should invest more in stocks.

We use household-level data covering a ten-year period (1984 to 1993) to investigate the likely determinants of the Italian recession of 1993, the first year after WWII when private consumption fell. Consumption fell most for working-age households and for the self-employed. Our evidence is consistent with the response to permanent negative shocks due to the major pension reform of 1992 and the introduction of stricter tax-compliance measures for the self-employed. This is still true when we control for the role played by job losses and the collapse of the retail sector that characterized the early 1990s.

In this paper, the authors show that some of the predictions of models of consumer intertemporal optimization are in line with the patterns of nondurable expenditure observed in U.S. household-level data. They propose a flexible specification of preferences that allows multiple commodities and yields empirically tractable equations. The authors estimate preference parameters using the only U.S. micro data set with complete consumption information. They show that previous rejections can be explained by the simplifying assumptions made in previous studies. The authors also show that results obtained using good consumption or aggregate data can be misleading.

We investigate the size of the consumption drop at retirement in Italy by exploiting pension eligibility information to correct for endogenous retirement. We take a regression discontinuity approach and assume that spending would be smooth around pension eligibility if individuals did not retire. We estimate a 9.8 percent drop associated to retirement. This fall is not driven by liquidity problems for the less well off and can be accounted for by drops in work-related expenses. Retirement also induces a significant drop in the number of grown children living with their parents and this explains most of the retirement consumption drop.