Background A smoke-free society by 2040 is a key target for Dutch municipalities, mandated by law. Smoking remains a public ...

A vast amount of time series datasets are organized into structures with different levels or hierarchies of aggregation. Examples include categories, brands, or geographical groupings. Coherent ...

This two-step method used in recent class actions, referred to as “in-sample prediction,” has been accepted by several courts to date. The authors, however, posit that the method is unreliable and ...

Econometric and statistical methods furnish a structured toolkit for quantifying relationships, testing causal mechanisms and uncovering latent structure in data. Core approaches include regression ...

Econometric theory provides the mathematical and statistical foundation for quantifying relationships among economic variables and for testing hypotheses about economic behaviour. Central to this ...

If the ‘That verification method isn’t working right now‘ message appears due to traffic issues, it should automatically be resolved after a certain period of time. In other cases, use these fixes: ...

Even for experienced empirical researchers, certain econometric issues can be often overlooked or seem confusing. It can seem like everyone else knows what’s going on except you! The rapid pace with ...

Differential privacy algorithms typically distort data in ways that bias estimates from standard econometric methods. We describe a simulation-based econometric method that addresses this issue. The ...

Econometrics, the application of statistical methods to economic data, can be instrumental in identification of anticompetitive behavior by assisting in: assessment of market power, evaluation of ...