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Reports of the European Forecasting Network (EFN)
Reports of the European Forecasting Network (EFN) The European Forecasting...
The CompNet Competitiveness Database The Competitiveness Research Network (CompNet)...
Criminal Network Formation and Optimal Detection Policy: The Role of Cascade of Detection
Journal of Economic Behavior & Organization,
This paper investigates the effect of cascade of detection, how detection of a criminal triggers detection of his network neighbors, on criminal network formation. We develop a model in which criminals choose both links and actions. We show that the degree of cascade of detection plays an important role in shaping equilibrium criminal networks. Surprisingly, greater cascade of detection could reduce ex ante social welfare. In particular, we prove that full cascade of detection yields a weakly denser criminal network than that under partial cascade of detection. We further characterize the optimal allocation of the detection resource and demonstrate that it should be highly asymmetric among ex ante identical agents.
Career Experience, Political Effects, and Voting Behavior in the Riksbank’s Monetary Policy Committee
We find that career experience shapes the voting behavior of the Riksbank’s Monetary Policy Committee (MPC) members. Members with a career in the Riksbank and the government prefer higher rates. During a legislation with a center-right (center-left) party administration, MPC members with a career background in the government favor higher (lower) interest rates. Highlights: • The determinants of voting behavior in the Swedish Riksbank are considered. • Voting is analyzed with random effects ordered logit models for 1999–2013. • Interplay of career experience and political factors shapes voting behavior. • Government or Riksbank background leads to higher interest rate votes. • Partisan voting behavior is detected for members with government background.
Same, but Different: Testing Monetary Policy Shock Measures
IWH Discussion Papers,
In this study, we test whether three popular measures for monetary policy, that is, Romer and Romer (2004), Barakchian and Crowe (2013), and Gertler and Karadi (2015), constitute suitable proxy variables for monetary policy shocks. To this end, we employ different test statistics used in the literature to detect weak proxy variables. We find that the measure derived by Gertler and Karadi (2015) is the most suitable in this regard.