International Banking and Liquidity Risk Transmission: Evidence from Canada
James Chapman, H. Evren Damar
IMF Economic Review,
Nr. 3,
2015
Abstract
This paper investigates how liquidity conditions in Canada may affect domestic and/or foreign lending of globally active Canadian banks, and whether this transmission is influenced by individual bank characteristics. It finds that Canadian banks expanded their foreign lending during the recent financial crisis, often through acquisitions of foreign banks. It also finds evidence that internal capital markets play a role in the lending activities of globally active Canadian banks during times of heightened liquidity risk.
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Forecast Dispersion, Dissenting Votes, and Monetary Policy Preferences of FOMC Members: The Role of Individual Career Characteristics and Political Aspects
Stefan Eichler, Tom Lähner
Public Choice,
Nr. 3,
2014
Abstract
Using data from 1992 to 2001, we study the impact of members’ economic forecasts on the probability of casting dissenting votes in the Federal Open Market Committee (FOMC). Employing standard ordered probit techniques, we find that higher individual inflation and real GDP growth forecasts (relative to the committee’s median) significantly increase the probability of dissenting in favor of tighter monetary policy, whereas higher individual unemployment rate forecasts significantly decrease it. Using interaction models, we find that FOMC members with longer careers in government, industry, academia, non-governmental organizations (NGOs), or on the staff of the Board of Governors are more focused on output stabilization, while FOMC members with longer careers in the financial sector or on the staffs of regional Federal Reserve Banks are more focused on inflation stabilization. We also find evidence that politics matters, with Republican appointees being much more focused on inflation stabilization than Democratic appointees. Moreover, during the entire Clinton administration ‘natural’ monetary policy preferences of Bank presidents and Board members for inflation and output stabilization were more pronounced than under periods covering the administrations of both George H.W. Bush and George W. Bush, respectively.
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On the Stability of Preferences: Repercussions of Entrepreneurship on Risk Attitudes
Matthias Brachert, Walter Hyll
IWH Discussion Papers,
Nr. 5,
2014
Abstract
The majority of empirical studies make use of the assumption of stable preferences in searching for a relationship between risk attitude and the decision to become and stay an entrepreneur. Yet empirical evidence on this relationship is limited. In this paper, we show that entry into entrepreneurship itself plays a decisive role in shaping risk preferences. We find that becoming self-employed is indeed associated with a relative increase in risk attitudes, an increase that is quantitatively large and significant even after controlling for individual characteristics, different employment status, and duration of entrepreneurship. The findings suggest that studies assuming that risk attitudes are stable over time suffer from reverse causality; risk attitudes do not remain stable over time, and individual preferences change endogenously.
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International Side-payments to Improve Global Public Good Provision when Transfers are Refinanced through a Tax on Local and Global Externalities
Martin Altemeyer-Bartscher, A. Markandya, Dirk T. G. Rübbelke
International Economic Journal,
Nr. 1,
2014
Abstract
This paper discusses a tax-transfer scheme that aims to address the under-provision problem associated with the private supply of international public goods and to bring about Pareto optimal allocations internationally. In particular, we consider the example of the global public good ‘climate stabilization’, both in an analytical and a numerical simulation model. The proposed scheme levies Pigouvian taxes globally, while international side-payments are employed in order to provide incentives to individual countries for not taking a free-ride from the international Pigouvian tax scheme. The side-payments, in turn, are financed via environmental taxes. As a distinctive feature, we take into account ancillary benefits that may be associated with local public characteristics of climate policy. We determine the positive impact that ancillary effects may exert on the scope for financing side-payments via environmental taxation. A particular attractive feature of ancillary benefits is that they arise shortly after the implementation of climate policies and therefore yield an almost immediate payback of investments in abatement efforts. Especially in times of high public debt levels, long periods of amortization would tend to reduce political support for investments in climate policy.
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Cooperation Events, Ego-Network Characteristics and Firm Innovativeness – Empirical Evidence from the German Laser Industry
Muhamed Kudic, Katja Guhr
IWH Discussion Papers,
Nr. 6,
2013
Abstract
We study how firm innovativeness is related to individual cooperation events and the structure and dynamics of firms’ ego-networks employing a unique panel dataset for the full population of 233 German laser source manufactures between 1990 and 2010. Firm innovativeness is measured by yearly patent applications as well as patent grants with a two year time-lag. Network measures are calculated on the basis of 570 knowledge-related publicly funded R&D alliances. Estimation results from a panel data count model with fixed effects are suggestive of direct innovation effects due to individual cooperation events, but only as long as structural ego-network characteristics are neglected. Innovativeness is robustly related to ego-network size and ego-network brokerage whereas ego-network density reveals some surprising results.
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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.
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Women Move Differently: Job Separations and Gender
Boris Hirsch, Claus Schnabel
Journal of Labor Research,
Nr. 4,
2012
Abstract
Using a large German linked employer–employee data set and methods of competing risks analysis, this paper investigates gender differences in job separation rates to employment and nonemployment. In line with descriptive evidence, we find lower job-to-job and higher job-to-nonemployment transition probabilities for women than men when controlling for individual and workplace characteristics and unobserved plant heterogeneity. These differences vanish once we allow these characteristics to affect separations differently by gender. When additionally controlling for wages, we find that both separation rates are considerably lower and also significantly less wage-elastic for women than for men, suggesting an interplay of gender differences in transition behaviour and the gender pay gap.
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Predicting Financial Crises: The (Statistical) Significance of the Signals Approach
Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
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 does not 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 and statistically significant results and (2) that composite
indicators aggregating information contained in individual indicators add value to the signals approach, even where most individual indicators are not statistically significant on their own.
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Regional Entrepreneurial Opportunities in the Biotech Industry: Exploring the Transition from Award-winning Nascent Entrepreneurs to Real Start-ups
H. Wolf, Claus Michelsen, Michael Schwartz
Abstract
Knowledge of factors that determine the transition from nascent entrepreneurship into real entrepreneurship is of major importance for policies aiming to effectively stimulate start-ups. Whereas scholars concentrated on person-specific factors to explain transition probabilities, environmental characteristics have been fairly neglected. Given that entrepreneurship is a strongly localized phenomenon, this paper argues that regional entrepreneurial opportunities are a driving force behind the transition from nascent entrepreneurship to new venture creation. Based on unique data on 103 nascent entrepreneurs in the German biotechnology industry, we empirically assess the importance of regional entrepreneurial opportunities on transition probabilities. Further, we introduce a new
approach to measure nascent entrepreneurship by capturing individuals that actively participate in start-up competitions and have won at least one competition. Controlling for technology and individual characteristics, we find strong support for our hypotheses relating to the significant impact of general regional opportunities, specific regional opportunities and the entrepreneurial environment for the probability of transition from award-winning nascent entrepreneurs to real start-ups.
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Evaluation of Further Training Programmes with an Optimal Matching Algorithm
Eva Reinowski, Birgit Schultz, Jürgen Wiemers
IWH Discussion Papers,
Nr. 188,
2004
Abstract
This study evaluates the effects of further training on the individual unemployment duration of different groups of persons representing individual characteristics and some aspects of the economic environment. The Micro Census Saxony enables us to include additional information about a person's employment history to eliminate the bias resulting from unobservable characteristics and to avoid Ashenfelter's Dip. In order to solve the sample selection problem we employ an optimal full matching assignment, the Hungarian algorithm. The impact of participation in further training is evaluated by comparing the unemployment duration between participants and non-participants using the Kaplan-Meier-estimator. Overall, we find empirical evidence that participation in further training programmes results in even longer unemployment duration.
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