In this paper we develop procedures for performing inference in regression models about how potential policy interventions affect the entire marginal distribution of an outcome of interest. These policy interventions consist of either changes in the distribution of covariates related to the...

We propose a local adaptive multiplicative error model (MEM) accommodating timevarying parameters. MEM parameters are adaptively estimated based on a sequential testing procedure. A data-driven optimal length of local windows is selected, yielding adaptive forecasts at each point in time....

In credit default prediction models, the need to deal with time-varying covariates often arises. For instance, in the context of corporate default prediction a typical approach is to estimate a hazard model by regressing the hazard rate on time-varying covariates like balance sheet or stock...

The recent literature on the duration of trade has predominantly analyzed the determinants of trade flow durations using Cox proportional hazards models. The purpose of this paper is to show why it is inappropriate to analyze the duration of trade with continuous-time models such as the Cox...

The authors distributed a survey instrument to university students in Colombia, Ecuador, Puerto Rico, the Dominican Republic and the United States to determine their views on the ethics of tax evasion. Participants were asked to indicate the extent of their agreement or disagreement with each...

In injury and death cases in some jurisdictions, the economic valuations of the lost earnings of foreign born migrant workers are based on the wages the individuals would have been expected to earn while working in the U.S. had they not been injured or killed. In these instances, estimating the...

To date, border adjustment measures in the form of emissions allowance requirements (EAR) under the U.S. proposed cap-and-trade regime are the most concrete unilateral trade measure put forward to level the carbon playing field. If improperly implemented, such measures could disturb the world...