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139 Ergebnisse, ab 81
  • Medienbeitrag

    Die Corona-Krise trifft junge Firmen besonders hart. Der Staat muss jetzt helfen und ein gutes Start-up-Klima schaffen.

    Dieser Text erschien am 14. September 2020 als Gastbeitrag in der Süddeutschen Zeitung. Ein dynamisches Gründungsgeschehen ist gerade in Krisenzeiten wünschenswert. Eines, das Wachstumsimpulse setzt, indem neu entstandene Marktlücken entdeckt und zukunftsweisende Innovationen geschaffen werden. Doch darauf können wir derzeit nur begrenzt hoffen. Die Covid-19-Krise trifft das ...

    14.09.2020| Alexander S. Kritikos
  • DIW aktuell

    Corona-Pandemie wird zur Krise für Selbstständige

    Durch den Nachfrageausfall in Folge der Corona-Krise haben viele Selbständige ihre Einkommensgrundlage – zumindest vorübergehend – teilweise oder sogar vollständig verloren. Rund 60 Prozent unter ihnen beklagen Einkommensverluste, während es bei den abhängig Beschäftigten etwa 15 Prozent sind. Rund die Hälfte der von der Krise negativ betroffenen...

    12.06.2020| Daniel Graeber, Alexander S. Kritikos, Johannes Seebauer
  • Brown Bag Seminar Industrial Economics

    Big Tech Acquisitions in the Google Play Store

    This is an online seminar using Webex. You will receive the login data with the invitation to the talk. Abstract:  In the last ten years, Google, Apple, Facebook, Amazon, and Microsoft (GAFAM) acquired more than 400 companies, predominantly in the technological sector. Competition authorities did not scrutinize most of these transactions, as they did not reach the traditional thresholds,...

    20.05.2020| Pauline Affeldt
  • Brown Bag Seminar Industrial Economics

    Common Ownership, Markups and Productivity: Evidence from European Firms

    This is an online seminar using Webex. You will receive the login data with the invitation to the talk. Abstract:  This paper analyzes the relationship between common ownership – when two firms are partially held by the same investor – and markups. Combining firm-level financial data from Europe with ownership data of publicly listed firms, we structurally estimate production...

    07.05.2020| Nuria Boot
  • Brown Bag Seminar Industrial Economics

    The CoRisk-Index: A data-mining approach to identify industry-specific risk assessments related to COVID-19 in real-time

    This event takes place online via Zoom. Abstract:  While the coronavirus spreads around the world, governments are attempting to reduce contagion rates at the expense of negative economic effects. Market expectations have plummeted, foreshadowing the risk of a global economic crisis and mass unemployment. Governments provide huge financial aid programmes to mitigate the expected economic...

    17.04.2020| Fabian Braesemann (Saïd Business School, University of Oxford)
  • Brown Bag Seminar Industrial Economics

    Market Concentration in Europe: Evidence based on Antitrust Markets (cancelled)

    Abstract:  An increasing body of empirical evidence has documented trends to risen concentration, profits, markups, and market power in many industries across the world since the 1980s. Several factors – such as globalisation, digitisation, the increased role of intangible assets and sunk costs, as well as M&A activity and the (under)enforcement of merger control– have been...

    13.03.2020| Tomaso Duso
  • DIW Applied Micro Seminar

    Optimal Benefit-Based Corporate Income Tax

    Abstract:   I derive an optimal benefit-based corporate tax rate formula as a function of the public input elasticity of profits and the (net of) tax elasticity of profits. I argue that the existence of the corporate income tax should be justified by the benefit-based view of taxation: firms should pay tax according to the benefits they receive from the use of the public input. I argue that...

    28.02.2020| Simon Naitram, University of the West Indies, Cave Hill
  • Brown Bag Seminar Industrial Economics

    Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing?

    Abstract:  Antibiotic misuse due to prescribing under diagnostic uncertainty is a leading driver of antibiotic resistance. We investigate the magnitude and mechanisms by which machine learning predictions can enable policies that reduce antibiotic misuse. Building on predictions from administrative data on urinary tract infections in Denmark, we evaluate counterfactual policies that replace...

    14.02.2020| Hannes Ullrich
  • Externe referierte Aufsätze

    Industry Conversion Tables for German Firm-Level Data

    In: Jahrbücher für Nationalökonomie und Statistik 240 (2020), 5, S. 677–690 | Steffi Dierks, Alexander Schiersch, Jan Stede
  • Diskussionspapiere 1924 / 2020

    Emergency Aid for Self-Employed in the COVID-19 Pandemic: A Flash in the Pan?

    The self-employed are among those facing the highest probability of strong income losses during the COVID-19 pandemic. Governments in many countries introduced support programs to support the self-employed, including the German federal government, which approved a €50bn emergency aid program at the end of March 2020 offering one-off lump-sum payments of up to €15,000 to those facing substantial revenue ...

    2020| Joern Block, Alexander S. Kritikos, Maximilian Priem, Caroline Stiel
139 Ergebnisse, ab 81