This paper considers the effect of international air-pollution agreements ratified since 1970 on carbon dioxide emissions (CO2), the main cause of anthropogenic climate change. The analysis is based on a panel dataset of 150 countries over the period 1970-2008. While the literature generally...

In a two-period general equilibrium model, I study the effects of intertemporal emission permit trading in a cap-and-trade scheme when firms' investments in abatement have long-term effects. To meet their caps, firms optimally choose levels of trading and investment in each period by equalizing...

I study the effects of intertemporal emission permits trading in a cap-and-trade scheme when firms' abatement investments have long-term effects. In a two-period general equilibrium model, firms make trading and investment decisions in each period to meet their caps. I compare equilibrium...

F35, F22, C23 </AbstractSection> Copyright Ugarte Ontiveros and Verardi; licensee Springer. 2012

This paper makes three contributions. (1) It summarizes in tabular form a recent literature made of 36 micro-econometric studies for 16 different countries on the relationship between export destination and firm performance. (2) It reports estimates of the productivity premium of German firms...

In the robust statistics literature, a wide variety of models have been developed to cope with outliers in a rather large number of scenarios. Nevertheless, a recurrent problem for the empirical implementation of these estimators is that optimization algorithms generally do not perform well when...

In this article, we introduce a new Stata command, smultiv, that implements the S-estimator of multivariate location and scatter. Using simulated data, we show that smultiv outperforms mcd, an alternative robust estimator. Finally, we use smultiv to perform robust principal component analysis...

In this article, we describe http://www.stata-journal.com/software/Robinson’s (1988, Econometrica 56: 931– 954) double residual semiparametric regression estimator and H ̈ardle and Mam- men’s (1993, Annals of Statistics 21: 1926–1947) specification test implementation in Stata. We use...

The boxplot is probably the most commonly used tool to represent the distribution of the data and identify atypical observations in a univariate dataset. The problem with the standard boxplot is that as soon as asymmetry or tail heaviness appears, the percentage of values identified as atypical...

The analysis of the empirical distribution of univariate data often includes the computation of location, scale, skewness, and tail-heaviness measures, which are estimates of specific parameters of the underlying population distribution. Several measures are available, but they differ by...