The informational efficiency of econometric model forecasts made by Data Resources, Incorporated and Chase Econometrics is evaluated. The criterion tested is an implication of the rational expectations hypothesis. Statistically significant serial correlations are found for several series of one-period forecast revisions, indicating rejection of the efficiency hypothesis. The use of these one-period revisions avoids some problems that have plagued previous tests that employed different efficiency criteria. Alternative explanations of the empirical results are suggested and analyzed.

We reconsider the paradox that the variance of production often exceeds the variance of shipments, a result that casts doubt on the production smoothing model of inventory behavior. Most studies of production smoothing have analyzed two-digit SIC dollar-value data from Commerce Department surveys. In contrast, this paper examines disaggregated physical-product data and finds that production is smoother than shipments in about two-thirds of the 38 industry or product groupings considered. However, doubts about the model persist; most notably, Euler equation estimates of the model's cost parameters are usually imprecise and often do not have the signs postulated by production smoothing models.

We reconsider the paradox that the variance of production often exceeds the variance of shipments, a result that casts doubt on the production smoothing model of inventory behavior. Most studies of production smoothing have analyzed two-digit SIC dollar-value data from Commerce Department surveys. In contrast, this paper examines disaggregated physical-product data and finds that production is smoother than shipments in about two-thirds of the 38 industry or product groupings considered. However, doubts about the model persist; most notably, Euler equation estimates of the model's cost parameters are usually imprecise and often do not have the signs postulated by production smoothing models.

This paper examines precautionary behavior by relating job-loss risk to household net worth. We use existing best practice and some new strategies to deal with some problematic issues inherent in this literature regarding proxying uncertainty, instrumentation, and incorporating theoretical restrictions. We do not find precautionary variation in the wealth holdings of households with low permanent income, but do find precautionary effects for moderate and higher-income households. When the dependent variable is total net worth, these findings are robust to several alternative specifications. But we do not find precautionary responses in subaggregates of wealth that exclude home equity.