This paper investigates the reliability of SVARs to identify the dynamic effects of news shocks. We show analytically that the dynamics implied by SVARs, using both long–run and short–run restrictions, are biased. However, the bias vanishes as long as news shocks account for most of the...

This paper assesses SVARs as relevant tools at identifying the aggregate effects of news shocks. When the econometrician and private agents’ information sets are not aligned, the dynamic responses identified from SVARs are biased. However, the bias vanishes when news shocks account for the...

This paper explores empirically the link between stocks returns Value-at-Risk (VaR) and the state of financial markets across various holding horizons. The econometric analysis is based on a self-exciting threshold autoregression setup. Using quarterly French and US data from 1970Q4 to 2012Q4,...

This paper develops a theory of sequential investments in cybersecurity in which the software vendor can invest ex ante and ex post. The regulator can use safety standards and liability rules as means of increasing security. A standard is a minimum level of safety, and a liability rule states...

This paper studies a dynamic two-sided market in which consumers face switching costs between competing products. I first show that, in a symmetric equilibrium, switching costs lower the first-period price if network externalities are strong. By contrast, switching costs soften price competition...

The New Empirical Industrial Organization (NEIO) literature allows to analyze competition, market power and welfare implications of public policies. This literature is based on the estimation of consumer substitution patterns, that is on the estimation of demand models. Standard discrete choice...

Derivatives activity, motivated by risk-sharing, can breed risk taking. Bad news about the risk of the asset underlying the derivative increases the expected liability of a protection seller and undermines her risk prevention incentives. This limits risk-sharing, and may create endogenous...

Carbon capture and sequestration (CCS) can help to mitigate the climate change transition. Usually, in models where the atmospheric carbon stock is constrained by an institutional stabilization cap and under constant average CCS cost, the use of CCS must be delayed up to the time at which the...

I develop a new framework for analyzing land use change with dynamically optimizing landowners. My empirical approach allows for unobservable heterogeneity and avoids the burden of explicitly modeling the evolution of market-level state variables like input and output prices. Using a rich new...

We study optimal pricing of roads and public transport in presence of nonlinear in- come taxation. Individuals are heterogeneous in unobservable earning ability. Optimal transport tarifs depend on time costs of travel and work schedule adjustments (days and hours worked per day) as a response to...