We analyze peer e¤ects in sleeping behavior using a representative sample of U.S. teenagers from the National Longitudinal Survey of Adolescent Health. The sampling design of the survey causes the conventional 2SLS estimator to be inconsistent. We extend the NLS estimator in Wang and Lee...

We estimate the multiplier relying on differences in spending in infrastructure across Italian provinces and an instrument identifying investment changes that are large and exogenous to local cyclical conditions. We derive our instrument from the Law mandating the interruption of public work on...

This paper investigates the importance of parents reading to their young children. Using Australian data we find that parental reading to children at age 4 to 5 has positive and significant effects on reading skills and cognitive skills of these children at least up to age 10 or 11. Our findings...

This paper investigates secular changes in the distribution of personal expen-diture in Italy over the period 1881-1961. To do so, the authors constructed a new dataset, the Italian Household Budgets Database (IHBD), consisting of 4,370 family-level budgets. Methodologically, this paper improves...

Many studies have used self-reported dyadic data without exploiting the pattern of discordant answers. In this paper we propose a maximum likelihood estimator that deals with mis-reporting in a systematic way. We illustrate the methodology using dyadic data on inter-household transfers from the...

We provide practical advice for applied economists regarding specification and interpretation of linear regression models with interaction terms.

Using data from five waves of the Vietnam Household Living Standard Survey, we find evidence of significant urban-rural expenditure inequality. Urban-rural inequality increased dramatically from 1993 to 1998, and peaked in 2002 before reducing slightly in 2004, and significantly in 2006. The...

In this paper, we construct a large Bayesian Vector Autoregressive model (BVAR) for the Euro Area that captures the complex dynamic inter-relationships between the main components of the Harmonized Index of Consumer Price (HICP) and their determinants. The model is estimated using Bayesian...

The paper addresses the issue of forecasting a large set of variables using multivariate models. In particular, we propose three alternative reduced rank forecasting models and compare their predictive performance for US time series with the most promising existing alternatives, namely, factor...

Estimating markups has a long tradition in industrial organization and international trade. Economists and policy makers are interested in measuring the effect of various competition and trade policies on market power, typically measured by markups. The empirical methods that were developed in...