This paper considers the estimation problem of structural models for which empirical restrictions are characterized by a fixed point constraint, such as structural dynamic discrete choice models or models of dynamic games. We analyze the conditions under which the nested pseudo-likelihood (NPL)...

Structural econometric methods are often criticized for being sensitive to functional form assumptions. We study parametric estimators of the local average treatment effect (LATE) derived from a widely used class of latent threshold crossing models and show they yield LATE estimates...

We aim to disentangle the relative contributions of (i) cognitive ability, and (ii) education on health and mortality using a structural equation model suggested by Conti et al. (2010). We extend their model by allowing for a duration dependent variable, and an ordinal educational variable. Data...

Pharmaceutical firms spend increasing amounts in mergers and acquisitions (M&As), which raises the question of whether sufficient investment is left after mergers to further develop firms' internal drug development capability. We evaluate the effects of M&As on firms' post-merger R&D...

We exploit historical and contemporaneous variation in local credit markets across Russia to identify the impact of credit constraints on firm-level innovation. We find that access to bank credit helps firms to adopt existing products and production processes that are new to them. They introduce...

This paper aims to help policy makers identify how standards can contribute to the effective and cost-efficient development and deployment of eco-innovations (innovations that result in a reduction of environmental impact). To that end we discuss what standards are, how the process of...

The Clean Development Mechanism (CDM) is a project-based carbon trade mechanism that subsidizes the users of climate-friendly technologies and encourages technology transfer. The CDM has provided financial support for a large share of Chinese wind projects since 2002. Using pooled...

The degree of endemic volatility in the number of firms and establishments varies considerably across industries. Examining the within-industry range of variation (max.-min.) of the number of firms over our sample period, the low and high values across U.S. manufacturing industries are 4 and...

Carbon Capture and Storage (CCS) is regarded as one of the most important technologies to mitigate climate change while providing fossil-fuel based energy security. During the past decade, projects in support of the development and deployment of the technology have been initiated across the...