In this article, we propose a cointegration-based Permanent-Transitory decomposition for non-stationary Dynamic Factor Models. Our methodology exploits the cointegration relations among the observable variables and assumes they are driven by a common and an idiosyncratic component. The common...

In this article, we propose a cointegration-based Permanent-Transitory decomposition for nonstationary Dynamic Factor Models. Our methodology exploits the cointegration relations among the observable variables and assumes they are driven by a common and an idiosyncratic component. The common...

This study develops a model of water extraction with endogenous social norms. Many users are connected by a unique shared resource that can become scarce in case of over-exploitation. Preferences of individuals are guided by their extraction values and their taste for conformity to social norms...

We analyze the quantitative labor market and aggregate effects of a carbon tax in a framework with pollution externalities and equilibrium unemployment. Our model incorporates endogenous labor force participation and two margins of adjustment influenced by carbon taxes: firm creation and green...

This article provides a panorama of greenhouse gas (GHG) emission inequalities between French households. It presents in a detailed and critical manner the methodological conventions that are used to compute “household emissions”, including the related assumptions. The most common...

This paper studies how the investment in adaptation can influence the participation in an international environmental agreement (IEA) when countries decide in adaptation before they choose their levels of emissions. Two types of agreements are studied, a complete agreement for which countries...

This paper studies bargaining and exchange in a networked market with intermediation. Possibilities to trade are restricted through a network of existing relationships and traders bargain over the division of available gains from trade along different feasible routes. Using a stochastic model of...

The analysis and measurement of poverty is a crucial and unsolved issue in the field of social science. This work aims to measure poverty as a multidimensional notion using a new composite indicator. However, subjective choices as different weighting schemes on the indicator's construction could...

We develop a Bayesian Structural VAR (SVAR) model to study the relationship between different kinds of energy shocks and inflation dynamics in Europe. Specifically, we include in our specification two separate energy markets (oil and natural gas) and two target macroeconomic variables, measuring...