Ricardian (hedonic) analyses of the impact of climate change on farmland values typically assume additively separable effects of temperature and precipitation. Model estimation is implemented on data aggregated across counties or large regions. We investigate the potential bias induced by such...

Ricardian (hedonic) analyses of the impact of climate change on farmland values typically assume additively separable effects of temperature and precipitation. Model estimation is implemented on data aggregated across counties or large regions. We investigate the potential bias induced by such...

We study long run carbon emissions - income relationships for advanced countries grouped in policy relevant groups - North America and Oceania, South Europe, North Europe. By relying on recent advances on Generalized Additive Models and adopting interaction models, we handle simultaneously three...

Ricardian (hedonic) analyses of the impact of climate change on farmland values typically assume additively separable effects of temperature and precipitation. Model estimation is implemented on data aggregated across counties or large regions. We investigate the potential bias induced by such...

Ricardian models predicting the impact of climate change on agriculture are typically estimated on data aggregated across counties and assuming additively separable effects of temperature and precipitation. We investigate the potential bias induced by such assumptions by using a large panel of...

This paper investigates the take-up rate or claim-waiting rate of the unemployed under the South African Unemployment Insurance Fund (UIF) system. The goal is to identify disincentive effects that income replacement rates (IRR) and accumulated credits may have on the claimants behaviour in terms...

The paper looks at the genesis of innovation in the EU regions in order to shed light on the link between innovative inputs (R&D and Human Capital) and the genesis of economically valuable knowledge. The "traditional" regional Knowledge Production Function (KPF) is innovatively developed in...

Ricardian models predicting the impact of climate change on agriculture are typically estimated on data aggregated across counties and assuming additively separable effects of temperature and precipitation. We investigate the potential bias induced by such assumptions by using a large panel of...

This paper documents the structural differences between climate change leading `actors' as Northern EU countries, and `lagging actors' - southern EU countries and the `Umbrella group' - with regard to their long run carbon-income relationships. We show that such categorization gives relevant...