Advocatus, et non latro? Testing the Supplier-Induced-Demand Hypothesis for Italian Courts of Justice

We explore the relationship between litigation rates and the number of lawyers, in a typical supplier-induced demand (SID) frame. Drawing on an original panel dataset for the 169 Italian courts of justice between 2000 and 2007, we first document that the number of lawyers is positively correlated with different measures of litigation rate. Then, using an instrumental variables strategy we find that a 10 percent increase of lawyers over population is associated with an increase between 1.6 to 6 percent in civil litigation rates. Thus, our empirical analysis supports the SID hypothesis for the Italian lawyers: following an increase in their relative number, lawyers may exploit their informational advantage to induce clients to access to courts even when litigation is unnecessary or ineffective.Lawyers, Litigiosity, Causality

Advocatus, et non latro?: testing the excess of litigation in the Italian courts of justice

We explore the causality relationship between litigation rates and the number of lawyers, drawing on an original panel dataset for the 169 Italian first-instance courts of justice between 2000 and 2007. In this time period, both the number of lawyers and the civil litigation rate sharply increased, and a mandatory minimum fee was in place for lawyers’ services. We first document that the number of lawyers is positively correlated with different measures of the litigation rate. Then, using an instrumental variables strategy, we find that a 10% increase in lawyers over population is associated with an increase between 1.6 and 6% in civil litigation rates. Our empirical analysis supports the supplier-induced demand (SID) hypothesis for Italian lawyers: following a sharp increase in the number of lawyers, and in the impossibility of competing on price because of the minimum fee regulation, some lawyers may have opportunistically used their informational advantage to induce their clients to bring lawsuits into court more often than would have been optimal if they were acting in the exclusive interest of their clients

Powerful-synergies: Gender Equality, Economic Development and Environmental Sustainability

This is a collection of evidence-based papers by scholars and practitioners that explore the interconnections between gender equality and sustainable development across a range of sectors and global development issues such as energy, health, education, food security, climate change, human rights, consumption and production patterns, and urbanization. The publication provides evidence from various sectors and regions on how women's equal access and control over resources not only improves the lives of individuals, families and nations, but also helps ensure the sustainability of the environment

A synthesis of evidence for policy from behavioural science during COVID-19

Scientific evidence regularly guides policy decisions1, with behavioural science increasingly part of this process2. In April 2020, an influential paper3 proposed 19 policy recommendations (‘claims’) detailing how evidence from behavioural science could contribute to efforts to reduce impacts and end the COVID-19 pandemic. Here we assess 747 pandemic-related research articles that empirically investigated those claims. We report the scale of evidence and whether evidence supports them to indicate applicability for policymaking. Two independent teams, involving 72 reviewers, found evidence for 18 of 19 claims, with both teams finding evidence supporting 16 (89%) of those 18 claims. The strongest evidence supported claims that anticipated culture, polarization and misinformation would be associated with policy effectiveness. Claims suggesting trusted leaders and positive social norms increased adherence to behavioural interventions also had strong empirical support, as did appealing to social consensus or bipartisan agreement. Targeted language in messaging yielded mixed effects and there were no effects for highlighting individual benefits or protecting others. No available evidence existed to assess any distinct differences in effects between using the terms ‘physical distancing’ and ‘social distancing’. Analysis of 463 papers containing data showed generally large samples; 418 involved human participants with a mean of 16,848 (median of 1,699). That statistical power underscored improved suitability of behavioural science research for informing policy decisions. Furthermore, by implementing a standardized approach to evidence selection and synthesis, we amplify broader implications for advancing scientific evidence in policy formulation and prioritization