A tax on fuel combined with tax exemptions or subsidies for fuel-efficient vehicles is implemented in many countries to reduce greenhouse gas emissions and other negative externalities from road traffic. This study, however, ...

Young children are thought to be vulnerable to separation from their primary caregiver. This raises concern about whether early childcare enrollment may harm child development. We use childcare assignment lotteries to ...

This paper presents a unified framework for regression-based statistical disclosure control for microdata. A basic method, known as information preserving statistical obfuscation (IPSO), produces synthetic data that preserve ...

We offer a general-equilibrium analysis of Brexit incorporating the state-of-the-art differences in productivity and firms' selection within manufacturing sectors a la Melitz (Econometrica, 2003, 71, 1695) and multinationals ...

The Carnegie effect is the harm inherited wealth does to a recipient's work effort. Carnegie effect estimates are few, reflecting that such effects are hard to trace. Most previous studies rely on data from limited-size ...

The elasticity of taxable income (ETI) holds the promise of representing a summary measure of tax efciency costs, which means that further information about the behavioral components of the ETI is not required for its use ...

In practical survey sampling, missing data are unavoidable due to nonresponse, rejected observations by editing, disclosure control, or outlier suppression. We propose a calibrated imputation approach so that valid point ...

Recent research shows that thicker labor markets display better assortative matching. Our contribution addresses identification challenges and heterogeneity of effects, in particular with respect to education. Using a rich ...

Modeller som beskriver hvordan foreldre med førskolebarn responderer på endringer i familiepolitikken har så langt kun fokusert på morens arbeidstilbud. Underforstått er det dermed moren som er den alternative omsorgspersonen ...

Data used in social, behavioural, health or biological sciences may have a hierarchical structure due to the population of interest or the sampling design. Multilevel or marginal models are often used to analyse such ...