No. 85: Enforcement and disclosure


Our model combines disclosure requirements and enforcement rules to analyze the impact of enforcement on firms’ reporting behavior. Starting from a voluntary disclosure model with stochastic information endowment, we add an asymmetric mandatory disclosure rule that requires firms with bad private information to disclose. Mandatory disclosure is subject to probabilistic enforcement, with expected fines increasing in a firm’s misconduct. In equilibrium, low-value firms disclose fearing enforcement, medium-value firms do not disclose (some legally others illegally), and high-value firms disclose voluntarily. More vigorous enforcement enlarges the set of compliant firms, increasing the non-disclosure price. In response, disclosing voluntarily becomes less beneficial. When the mandatory disclosure rule is endogenous, i.e., set according to the firms’ preferences, we identify a locally stable rule where no majority of firms prefers a marginal change of the current regulation. The preferred rule is unique and increases in enforcement intensity and in litigation strength.

Beteiligte Institutionen

Die Hauptstandorte vom TRR 266 sind die Universität Paderborn (Sprecherhochschule), die HU Berlin und die Universität Mannheim. Alle drei Standorte sind seit vielen Jahren Zentren für Rechnungswesen- und Steuerforschung. Hinzu kommen Wissenschaftler der LMU München, der Frankfurt School of Finance and Management, der WHU – Otto Beisheim School of Management, der ESMT Berlin, der Goethe-Universität Frankfurt und der Carl von Ossietzky Universität Oldenburg, die die gleiche Forschungsagenda verfolgen.