In this article, we present a new perspective on forecasting technology adoption, focused on the extensive margin of adoption of multiple digital technologies in multiple countries. We do this by applying a Bayesian hierarchical structure to the seminal model of technology diffusion. After...

Stated Preferences are, together with Bass diffusion and, to a lesser extent, Total Cost of Ownership, the most popular methods to forecast the future diffusion of electric and alternative fuel vehicles. In this contribution, we compare the merits and limitations of SP relative to other methods....

The results of the this study showed that there is a difference in individual and interactive impact of technological, organizational and environmental factors on the diffusion of e-services in the public sector, as well as a difference regarding the factors that independently impact the...

The COVID-19 crisis has had a tremendous economic impact for all countries. Yet, assessing the full impact of the crisis has been frequently hampered by the delayed publication of official GDP statistics in several emerging market and developing economies. This paper outlines a machine-learning...

This paper investigates the performance of the IMF WEO growth forecast revisions across different horizons and country groups. We find that: (i) growth revisions in horizons closer to the actual are generally larger, more volatile, and more negative; (ii) on average, growth revisions are in the...

In this article, we present a new perspective on forecasting technology adoption, focused on the extensive margin of adoption of multiple digital technologies in multiple countries. We do this by applying a Bayesian hierarchical structure to the seminal model of technology diffusion. After...

We produce a social unrest risk index for 125 countries covering a period of 1996 to 2020. The risk of social unrest is based on the probability of unrest in the following year derived from a machine learning model drawing on over 340 indicators covering a wide range of macro-financial,...

This study investigates Chinese firms’ co-patenting and citation networks and examines their evolution since 1985. We used a comprehensive dataset of Chinese firms’ patent filings to analyze these networks changing structure over time. We constructed these networks and analyzed their growth,...

Katharina Wedel prepared this study while she was working at the Center for the Economics of Education at the ifo Institute. The study was completed in September 2023 and accepted as doctoral thesis by the Department of Economics at LMU Munich. It consists of four distinct empirical essays that...

The article analyses the level of digitalization in the European Union (EU) and correlates the results with the Sustainable Development Goals formulated by the United Nations. The paper provides figures on the number of enterprises receiving orders online, the share of enterprises' turnover on...