Model specification and selection are recurring themes in econometric analysis. Both topics become considerably more complicated in the case of large-dimensional data sets where the set of specification possibilities can become quite large. In the context of linear regression models, penalised...

The energy transition increases the demand for minerals from ethnically diverse, conflict-prone developing countries. We study whether and where mining is possible in such countries without raising the risk of civil conflict. We proceed in three steps: First, we propose a theoretical model to...

This article analyzes how the General Data Protection Regulation (GDPR) has affected the privacy practices of FinTech firms. We study the content of 308 privacy statements respectively before and after the GDPR became binding. Using textual analysis methods, we find that the readability of the...

We develop a novel firm-level measure of cybersecurity risk using textual analysis of cybersecurity-risk disclosures in corporate filings. The measure successfully identifies firms extensively discussing cybersecurity risk in their 10-K, displays intuitive relations with quantitative measures of...

Using a unique dataset of 22.5 million news articles from the Dow Jones Newswires Archive, we perform an in depth real-time out-of-sample forecasting comparison study with one of the most widely used data sets in the newer forecasting literature, namely the FRED-MD dataset. Focusing on U.S. GDP,...

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...