In this paper I study a model of life-cycle consumption in which individuals react optimally to their own income process but ignore economy wide information. Since individual income is less persistent than aggregate income consumers will react too little to aggregate income variation. Aggregate consumption will be excessively smooth. Since aggregate information is slowly incorporated into consumption, aggregate consumption will be autocorrelated and correlated with lagged income. The second part of the paper provides empirical evidence on individual and aggregate income processes and calibrates the model using the estimated parameters. The mode predictions roughly correspond to the empirical findings for aggregate consumption data. Allowing for the existence of measurement error in micro income, durables, finite lifetimes of consumers, and advance information improves the predictions of the model.

We estimate peer effects for fourth graders in six European countries. The identification relies on variation across classes within schools, which we argue are formed roughly randomly. The estimates are much reduced within schools compared to the standard ordinary least squares (OLS) results. This could be explained either by selection into schools or by measurement error in the peer variable. Correcting for measurement error, we find within‐school estimates close to the original OLS estimates. Our results suggest that the peer effect is modestly large, measurement error is important in our survey data, and selection plays little role in biasing peer effects estimates.

We estimate the impact of compulsory schooling on earnings using changes in compulsory schooling laws in West Germany after World War II. Most estimates in the literature indicate returns in the range of 10 to 15. While our research design is very similar to studies for various other countries, we find a zero return. We find no evidence that this is due to labor market institutions or the apprenticeship training system in Germany. The result might be due to the fact that the basic skills most relevant for the labor market are learned earlier in Germany than in other countries.

We study the causal relationship between geographic connectedness and development using one of the earliest massive trade expansions: the first systematic crossing of open seas in the Mediterranean during the time of the Phoenicians. We construct a geography-based measure of connectedness along the shores of the sea. We relate connectedness to economic activity, which we measure using the presence of archaeological sites. We find an association between better-connected locations and archaeological sites during the Iron Age, at a time when sailors began to cross open water routinely on a large scale. We corroborate these findings at the world level.