Predicting the Rise of EU Right-Wing Populism in Response to Unbalanced Immigration
Marko Jusup, Dejan Kovač, Boris Podobnik, H. Eugene Stanley
Complexity,
August
2017
Abstract
Among the central tenets of globalization is the free migration of labor. Although much has been written about the benefits of globalization, little is known about its limitations and how antiglobalist sentiment can be strongly affected by high levels of immigration. Analyzing poll data from a group of EU countries affected by the recent migrant crisis, we find that over the last three years the percentage of right-wing (RW) populist voters in a given country depends on the prevalence of immigrants in this country’s population and the total immigration inflow into the entire EU. The latter is likely due to the perception that the EU functions as a supranational state in which a lack of inner borders means that “someone else’s problem” can easily become “my problem.” We find that the increase in the percentage of RW voters substantially surpasses the percentage of immigration inflow, implying that if this process continues, ongoing democratic processes will cause RW populism to prevail and globalization to rapidly decrease. We locate tipping points between the fraction of immigrants and the rise of RW populism, and we model our empirical findings using a complex network framework in which the success of globalization rests on a balance between immigration and immigrant integration.
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Direct and Indirect Risk-taking Incentives of Inside Debt
Stefano Colonnello, Giuliano Curatola, Ngoc Giang Hoang
Journal of Corporate Finance,
August
2017
Abstract
We develop a model of compensation structure and asset risk choice, where a risk-averse manager is compensated with salary, equity and inside debt. We seek to understand the joint implications of this compensation package for managerial risk-taking incentives and credit spreads. We show that the size and seniority of inside debt not only are crucial for the relation between inside debt and credit spreads but also play an important role in shaping the relation between equity compensation and credit spreads. Using a sample of U.S. public firms with traded credit default swap contracts, we provide evidence supportive of the model's predictions.
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Wage Bargaining Regimes and Firms‘ Adjustments to the Great Recession
Filippo di Mauro, Maddalena Ronchi
IWH-CompNet Discussion Papers,
No. 1,
2017
Abstract
The paper aims at investigating to what extent wage negotiation set-ups have shaped up firms’ response to the Great Recession, taking a firm-level cross-country perspective. We contribute to the literature by building a new micro-distributed database which merges data related to wage bargaining institutions (Wage Dynamic Network, WDN) with data on firm productivity and other relevant firm characteristics (CompNet). We use the database to study how firms reacted to the Great Recession in terms of variation in profits, wages, and employment. The paper shows that, in line with the theoretical predictions, centralized bargaining systems – as opposed to decentralized/firm level based ones – were accompanied by stronger downward wage rigidity, as well as cuts in employment and profits.
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The Effects of Local Elections on National Military Spending: A Cross-country Study
Liuchun Deng, Yufeng Sun
Defence and Peace Economics,
No. 3,
2017
Abstract
In this paper, we study the domestic political determinants of military spending. Our conceptual framework suggests that power distribution over local and central governments influences the government provision of national public goods, in our context, military expenditure. Drawing on a large cross-country panel, we demonstrate that having local elections will decrease a country’s military expenditure markedly, controlling for other political and economic variables. According to our preferred estimates, a country’s military expenditure is on average 20% lower if its state government officials are locally elected, which is consistent with our theoretical prediction.
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The Liquidity Premium of Safe Assets: The Role of Government Debt Supply
Qizhou Xiong
IWH Discussion Papers,
No. 11,
2017
Abstract
The persistent premium of government debt attributes to two main reasons: absolute nominal safety and liquidity. This paper employs two types of measures of government debt supply to disentangle the safety and liquidity part of the premium. The empirical evidence shows that, after controlling for the opportunity cost of money, the quantitative impact of total government debt-to-GDP ratio is still significant and negative, which is consistent with the theoretical predictions of the CAPM with utility surplus of holding convenience assets. The relative availability measure, the ratio of total government liability to all sector total liability, separates the liquidity premium from the safety premium and has a negative impact too. Both theoretical and empirical results suggest that the substitutability between government debt and private safe assets dictates the quantitative impact of the government debt supply.
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Wage Bargaining Regimes and Firms' Adjustments to the Great Recession
Filippo di Mauro, Maddalena Ronchi
ECB Working Paper,
No. 2051,
2017
Abstract
The paper aims at investigating to what extent wage negotiation setups have shaped up firms’ response to the Great Recession, taking a firm-level cross-country perspective. We contribute to the literature by building a new micro-distributed database which merges data related to wage bargaining institutions (Wage Dynamic Network, WDN) with data on firm productivity and other relevant firm characteristics (CompNet). We use the database to study how firms reacted to the Great Recession in terms of variation in profits, wages, and employment. The paper shows that, in line with the theoretical predictions, centralized bargaining systems – as opposed to decentralized/firm level based ones – were accompanied by stronger downward wage rigidity, as well as cuts in employment and profits.
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Optimizing Policymakers' Loss Functions in Crisis Prediction: Before, Within or After?
Peter Sarlin, Gregor von Schweinitz
Abstract
Early-warning models most commonly optimize signaling thresholds on crisis probabilities. The expost threshold optimization is based upon a loss function accounting for preferences between forecast errors, but comes with two crucial drawbacks: unstable thresholds in recursive estimations and an in-sample overfit at the expense of out-of-sample performance. We propose two alternatives for threshold setting: (i) including preferences in the estimation itself and (ii) setting thresholds ex-ante according to preferences only. Given probabilistic model output, it is intuitive that a decision rule is independent of the data or model specification, as thresholds on probabilities represent a willingness to issue a false alarm vis-à-vis missing a crisis. We provide simulated and real-world evidence that this simplification results in stable thresholds and improves out-of-sample performance. Our solution is not restricted to binary-choice models, but directly transferable to the signaling approach and all probabilistic early-warning models.
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Should Forecasters Use Real-time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence
Katja Heinisch, Rolf Scheufele
Abstract
In this paper we investigate whether differences exist among forecasts using real-time or latest-available data to predict gross domestic product (GDP). We employ mixed-frequency models and real-time data to reassess the role of survey data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real-time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.
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Why They Keep Missing: An Empirical Investigation of Rational Inattention of Rating Agencies
Gregor von Schweinitz, Makram El-Shagi
Abstract
Sovereign ratings have frequently failed to predict crises. However, the literature has focused on explaining rating levels rather than the timing of rating announcements. We fill this gap by explicitly differentiating between a decision to assess a country and the actual rating decision. Thereby, we account for rational inattention of rating agencies that exists due to costs of reassessment. Exploiting information of rating announcements, we show that (i) the proposed differentiation significantly improves estimation; (ii) rating agencies consider many nonfundamental factors in their reassessment decision; (iii) markets only react to ratings providing new information; (iv) developed countries get preferential treatment.
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Creative Destruction and Subjective Well-being
Philippe Aghion, Ufuk Akcigit, Angus Deaton, Alexandra Roulet
American Economic Review,
No. 12,
2016
Abstract
In this paper we analyze the relationship between turnover-driven growth and subjective well-being. Our model of innovation-led growth and unemployment predicts that: (i) the effect of creative destruction on expected individual welfare should be unambiguously positive if we control for unemployment, less so if we do not; (ii) job creation has a positive and job destruction has a negative impact on well-being; (iii) job destruction has a less negative impact in areas with more generous unemployment insurance policies; and (iv) job creation has a more positive effect on individuals that are more forward-looking. The empirical analysis using cross sectional MSA (metropolitan statistical area)-level and individual-level data provide empirical support to these predictions.
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