This paper shows how to construct locally robust semiparametric GMM estimators, meaning equivalently moment conditions have zero derivative with respect to the first step and the first step does not affect the asymptotic variance. They are constructed by adding to the moment functions the...

We investigate the determinants of bilateral international equity and bond portfolio reallocation across a large cross section of countries over the 1997 to 2001 period. We first argue that financial integration is not a global phenomenon, as equity and bond home biases declined significantly...

Using bilateral data on international equity and bond flows, we find that the prediction of the International Capital Asset Pricing Model is partially met and that global equity markets might be more integrated than global bond markets. Moreover, over the turbulent 1998-2001 period characterised...

This paper presents an estimation of the cost of reducing CO2 emissions as agreed in Kyoto by Annex I countries. Unlike most of the existing literature, this paper focuses on European Union countries' abatement costs and, using a simple model, estimates the role of each EU country within a EU...

This paper presents an estimate of the costs of reducing CO2 emissions asagreed in Kyoto by Annex 1 countries. Unlike most of the existing literature, this paper uses an Almost Ideal Demand System model for energyproducts to estimate the role of each country within the Annex 1 market. A major...

Recent work on the effects of currency unions (CUs) on trade stresses the importance of using many countries and years in order to obtain reliable estimates. However, for large samples, computational issues limit choice of estimator, leaving an important methodological gap. To address this gap,...

This paper shows how asymptotically valid inference in regression models based on the weighted least squares (WLS) estimator can be obtained even when the model for reweighting the data is misspecified. Like the ordinary least squares estimator, the WLS estimator can be accompanied by...

In the presence of conditional heteroskedasticity, inference about the coefficients in a linear regression model these days is typically based on the ordinary least squares estimator in conjunction with using heteroskedasticity consistent standard errors. Similarly, even when the true form of...

In this paper we reconsider the relationship between income on health, taking a distributional perspective rather than one centered on conditional expectation. Using Structured Additive Distributional Regression, we find that the association between income on health is larger than generally...

We derive nonparametric sharp bounds on average treatment effects with an instrumental variable (IV) and use them to evaluate the effectiveness of the Job Corps training program for disadvantaged youth. We focus on the population average treatment effect (ATE) and the average treatment effect on...