Reports des European Forecasting Network (EFN)
Reports des European Forecasting Network (EFN) Das European Forecasting Network...
Zur Seite
Criminal Network Formation and Optimal Detection Policy: The Role of Cascade of Detection
Liuchun Deng, Yufeng Sun
Journal of Economic Behavior & Organization,
September
2017
Abstract
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.
Artikel Lesen
Career Experience, Political Effects, and Voting Behavior in the Riksbank’s Monetary Policy Committee
Stefan Eichler, Tom Lähner
Economics Letters,
June
2017
Abstract
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.
Artikel Lesen
Same, but Different: Testing Monetary Policy Shock Measures
Alexander Kriwoluzky, Stephanie Ettmeier
IWH Discussion Papers,
Nr. 9,
2017
Abstract
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.
Artikel Lesen
Financial Constraints on Growth: Comparing the Balkans to Other Transition Economies
Hubert Gabrisch
Eastern European Economics,
Nr. 4,
2015
Abstract
This article applies an adjusted growth diagnostic approach to identify the currently most binding constraint on financing growth in the West Balkan countries. Since this group of economies faces both structural and systemic transformation problems, the original supply-side approach might not be sufficient to detect the most binding constraint. The results of the analysis indicate that the binding constraint on credit and investment growth in the region is the high and increasing share of nonperforming loans, primarily in the household sector, due to policy failures. This article compares the Balkan countries to a group of advanced transition economies. Single-country and panel regressions indicate that demand-side factors do not play a constraining role on growth in the West Balkan countries, but they do in the advanced transition economies.
Artikel Lesen
The Political Determinants of Sovereign Bond Yield Spreads
Stefan Eichler
Journal of International Money and Finance,
Nr. 46,
2014
Abstract
This paper analyzes the political determinants of sovereign bond yield spreads using data for 27 emerging markets in the period 1996 to 2009. I find strong evidence that countries with parliamentary systems (as opposed to presidential regimes) and a low quality of governance face higher sovereign yield spreads, while the degree of democracy and elections play no significant role. A higher degree of political stability and the power to implement austerity measures significantly reduce sovereign yield spreads particularly in autocratic regimes, while no significant effect is detected for democratic countries. Overall, political determinants have a more pronounced impact on sovereign bond yield spreads in autocratic and closed regimes than in democratic and open countries.
Artikel Lesen
Predicting Financial Crises: The (Statistical) Significance of the Signals Approach
Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
Journal of International Money and Finance,
Nr. 35,
2013
Abstract
The signals approach as an early-warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it cannot distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful results; (2) that composite indicators aggregating information contained in individual indicators add value to the signals approach; and (3) that indicators which are found to be significant in-sample usually perform similarly well out-of-sample.
Artikel Lesen
Three methods of forecasting currency crises: Which made the run in signaling the South African currency crisis of June 2006?
Tobias Knedlik, Rolf Scheufele
IWH Discussion Papers,
Nr. 17,
2007
Abstract
In this paper we test the ability of three of the most popular methods to forecast the South African currency crisis of June 2006. In particular we are interested in the out-ofsample performance of these methods. Thus, we choose the latest crisis to conduct an out-of-sample experiment. In sum, the signals approach was not able to forecast the outof- sample crisis of correctly; the probit approach was able to predict the crisis but just with models, that were based on raw data. Employing a Markov-regime-switching approach also allows to predict the out-of-sample crisis. The answer to the question of which method made the run in forecasting the June 2006 currency crisis is: the Markovswitching approach, since it called most of the pre-crisis periods correctly. However, the “victory” is not straightforward. In-sample, the probit models perform remarkably well and it is also able to detect, at least to some extent, out-of-sample currency crises before their occurrence. It can, therefore, not be recommended to focus on one approach only when evaluating the risk for currency crises.
Artikel Lesen
