Today, more than 70 carbon pricing schemes have been implemented around the globe, but
their contributions to emissions reductions remains a subject of heated debate in science …

The method of model averaging has become an important tool to deal with model
uncertainty, for example in situations where a large amount of different theories exist, as are …

We analyze the literature on the relationship between corporate social performance (CSP)
and corporate financial performance (CFP) by applying meta‐regression analysis (MRA) to …

When jobs offered by different employers are not perfect substitutes, employers gain wage-
setting power; the extent of this power can be captured by the elasticity of labor supply to the …

Soil organic carbon (SOC) plays a crucial role as an ecosystems indicator. Its quantification
requires an affordable, and less time-consuming method. Visible and near infrared (Vis-NIR) …

A key parameter in international economics is the elasticity of substitution between domestic
and foreign goods, also called the Armington elasticity. Yet estimates vary widely. We collect …

In studies of firm's innovation performance, regression analysis can involve a significant
level of model uncertainty because the 'true'model, and therefore the appropriate set of …

" Since the publication of the first edition, Bayesian statistics is, arguably, still not the norm in
the formal quantitative methods training of social scientists. Typically, the only introduction …

This paper employs a meta-regression analysis of 1,149 estimates from 29 studies to take
stock of the empirical literature on Chinese aid effectiveness. After accommodating …

Global climate models (GCMs) are useful tools for assessing climate change impacts on
temperature and rainfall. Although climate data from various GCMs have been increasingly …