Taxation, Corruption, and Growth
Philippe Aghion, Ufuk Akcigit, Julia Cagé, William R. Kerr
European Economic Review,
2016
Abstract
We build an endogenous growth model to analyze the relationships between taxation, corruption, and economic growth. Entrepreneurs lie at the center of the model and face disincentive effects from taxation but acquire positive benefits from public infrastructure. Political corruption governs the efficiency with which tax revenues are translated into infrastructure. The model predicts an inverted-U relationship between taxation and growth, with corruption reducing the optimal taxation level. We find evidence consistent with these predictions and the entrepreneurial channel using data from the Longitudinal Business Database of the US Census Bureau. The marginal effect of taxation for growth for a state at the 10th or 25th percentile of corruption is significantly positive; on the other hand, the marginal effects of taxation for growth for a state at the 90th percentile of corruption are much lower across the board. We make progress towards causality through Granger-style tests and by considering periphery counties where effective tax policy is largely driven by bordering states. Finally, we calibrate our model and find that the calibrated taxation rate of 37% is fairly close to the model׳s estimated welfare maximizing taxation rate of 42%. Reducing corruption provides the largest potential impact for welfare gain through its impact on the uses of tax revenues.
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Multidimensional Well-being and Regional Disparities in Europe
Jörg Döpke, A. Knabe, Cornelia Lang, Philip Maschke
Abstract
Using data from the OECD Regional Well-Being Index – a set of quality-of-life indicators measured at the sub-national level, we construct a set of composite well-being indices. We analyse the extent to which the choice of five alternative aggregation methods affects the well-being ranking of regions. We find that regional inequality in these composite measures is lower than regional inequality in gross-domestic product (GDP) per capita. For most aggregation methods, the rank correlation across regions appears to be quite high. It is also shown that using alternative indicators instead of GDP per capita would only have a small effect on the set of regions eligible for aid from EU Structural Funds. The exception appears to be an aggregation based on how individual dimensions of welfare relate to average life satisfaction across regions, which would substantially change both the ranking of regions and which regions would receive EU funds.
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Nested Models and Model Uncertainty
Alexander Kriwoluzky, Christian A. Stoltenberg
Scandinavian Journal of Economics,
No. 2,
2016
Abstract
Uncertainty about the appropriate choice among nested models is a concern for optimal policy when policy prescriptions from those models differ. The standard procedure is to specify a prior over the parameter space, ignoring the special status of submodels (e.g., those resulting from zero restrictions). Following Sims (2008, Journal of Economic Dynamics and Control 32, 2460–2475), we treat nested submodels as probability models, and we formalize a procedure that ensures that submodels are not discarded too easily and do matter for optimal policy. For the United States, we find that optimal policy based on our procedure leads to substantial welfare gains compared to the standard procedure.
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Structural Reforms in Banking: The Role of Trading
Jan Pieter Krahnen, Felix Noth, Ulrich Schüwer
Abstract
In the wake of the recent financial crisis, significant regulatory actions have been taken aimed at limiting risks emanating from trading in bank business models. Prominent reform proposals are the Volcker Rule in the U.S., the Vickers Report in the UK, and, based on the Liikanen proposal, the Barnier proposal in the EU. A major element of these reforms is to separate “classical” commercial banking activities from securities trading activities, notably from proprietary trading. While the reforms are at different stages of implementation, there is a strong ongoing discussion on what possible economic consequences are to be expected. The goal of this paper is to look at the alternative approaches of these reform proposals and to assess their likely consequences for bank business models, risk-taking and financial stability. Our conclusions can be summarized as follows: First, the focus on a prohibition of only proprietary trading, as envisaged in the current EU proposal, is inadequate. It does not necessarily reduce risk-taking and it likely crowds out desired trading activities, thereby negatively affecting financial stability. Second, there is potentially a better solution to limit excessive trading risk at banks in terms of potential welfare consequences: Trading separation into legally distinct or ring-fenced entities within the existing banking organizations. This kind of separation limits cross-subsidies between banking and proprietary trading and diminishes contagion risk, while still allowing for synergies across banking, non-proprietary trading and proprietary trading.
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College Choice and the Selection of Mechanisms: A Structural Empirical Analysis
J.-R. Carvalho, T. Magnac, Qizhou Xiong
Abstract
We use rich microeconomic data on performance and choices of students at college entry to study the interaction between the revelation of college preferences through exams and the selection of allocation mechanisms. We propose a method in which preferences and expectations of students are identified from data on choices and multiple exam grades. Counterfactuals we consider balance costs arising from congestion and exam organization. Moving to deferred acceptance or inverting the timing of choices and exams are shown to increase welfare. Redistribution among students or schools is sizeable in all counterfactual experiments.
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Transition to Clean Technology
Daron Acemoglu, Ufuk Akcigit, Douglas Hanley, William R. Kerr
Journal of Political Economy,
No. 1,
2016
Abstract
We develop an endogenous growth model in which clean and dirty technologies compete in production. Research can be directed to either technology. If dirty technologies are more advanced, the transition to clean technology can be difficult. Carbon taxes and research subsidies may encourage production and innovation in clean technologies, though the transition will typically be slow. We estimate the model using microdata from the US energy sector. We then characterize the optimal policy path that heavily relies on both subsidies and taxes. Finally, we evaluate various alternative policies. Relying only on carbon taxes or delaying intervention has significant welfare costs.
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Are there Business Cycles “beyond GDP“? Alternative Measures to GDP at Business Cycle Frequencies
Jörg Döpke, Philip Maschke
Applied Economics Quarterly,
No. 2,
2015
Abstract
We discuss properties of alternatives or complements to GDP as a measure of welfare at business cycle frequencies. Our results imply that the suggested indicators show practically no cycle at all and their methodologies can be questioned. First, data are not available at an appropriate quality and frequency. Second, the suggested time series sometimes correlate negatively with each other. Third, cross-section and quasi-panel evidence based on different samples of countries reveals no impact of the stance of the business cycle on some suggested welfare measures. Therefore, alternative welfare measures do not show an equal picture on business cycle frequencies compared to GDP-based measures.
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Toward a Taylor Rule for Fiscal Policy
Martin Kliem, Alexander Kriwoluzky
Review of Economic Dynamics,
No. 2,
2014
Abstract
In DSGE models, fiscal policy is typically described by simple rules in which tax rates respond to the level of output. We show that there is only weak empirical evidence in favor of such specifications in US data. Instead, the cyclical movements of labor and capital income tax rates are better described by a contemporaneous response to hours worked and investment, respectively. We show that conditioning on these variables is also desirable from a normative perspective as it significantly improves welfare relative to output-based rules.
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Default Options and Social Welfare: Opt In versus Opt Out
Jan Bouckaert, Hans Degryse
Journal of Institutional and Theoretical Economics JITE,
No. 3,
2013
Abstract
We offer a social-welfare comparison of the two most prominent default options – opt in and opt out – using a two-period model of localized competition. We demonstrate that when consumers stick to the default option, the prevailing default policy shapes firms' ability to collect and use customer information, and affects their pricing strategy and entry decision differently. The free-entry analysis reveals that fewer firms enter under opt out as competition becomes harsher, and that opt out is the socially preferred default option.
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Competitiveness Research Network – First Year Results
Filippo di Mauro
CompNet Report,
June
2013
Abstract
This interim report summarises the main findings of the Competitiveness Research Network (CompNet) after one year of existence. The Network is organized in three workstreams related to: (i) aggregate measures of competitiveness; (ii) firm-level studies; and (iii) global value chains (GVCs). The main objectives of the Network are to improve the existing frameworks and indicators of competitiveness across all dimensions (macro, micro and cross-border) and establish a more solid connection between identified competitiveness drivers and resulting outcomes (trade, aggregate productivity, employment, growth and essentially welfare), in order to support the design of adequate policies.
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