Economic Growth: The Past, the Present, and the Future
Ufuk Akcigit
Journal of Political Economy,
Nr. 6,
2017
Abstract
“Is there some action a government of India could take that would lead the Indian economy to grow like Indonesia’s or Egypt’s? If so, what, exactly? If not, what is it about the ‘nature of India’ that makes it so? The consequences for human welfare involved in questions like these are simply staggering: Once one starts to think about them, it is hard to think about anything else. (Lucas 1988, 5)”
These words by the Nobel laureate Chicago economist Robert Lucas Jr. summarize why so many great scholars found it hard to “think about anything else” and spent their careers trying to understand the process of economic growth. Economies are complex systems resulting from the actions of many actors. This complexity makes it challenging, but also infinitely interesting, to understand the determinants of economic growth. What are the roles of human capital, fertility, ideas, basic science, and public policy for growth? These are just some of the important questions that were posed by many highly influential studies featured in the issues of the Journal of Political Economy over the years. Indeed, this journal has been the platform to diffuse many of the brilliant ideas and start important debates in the field of economic growth. In this short paper, my goal is to revisit some of those seminal papers, briefly describe some of the more recent contributions, and end with some thoughts about the future direction of the field. The reader should note in advance that the list of work covered here is by no means exhaustive and mostly targets work that has been featured in issues of the JPE.
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Tail-risk Protection Trading Strategies
Natalie Packham, Jochen Papenbrock, Peter Schwendner, Fabian Wöbbeking
Quantitative Finance,
Nr. 5,
2017
Abstract
Starting from well-known empirical stylized facts of financial time series, we develop dynamic portfolio protection trading strategies based on econometric methods. As a criterion for riskiness, we consider the evolution of the value-at-risk spread from a GARCH model with normal innovations relative to a GARCH model with generalized innovations. These generalized innovations may for example follow a Student t, a generalized hyperbolic, an alpha-stable or a Generalized Pareto distribution (GPD). Our results indicate that the GPD distribution provides the strongest signals for avoiding tail risks. This is not surprising as the GPD distribution arises as a limit of tail behaviour in extreme value theory and therefore is especially suited to deal with tail risks. Out-of-sample backtests on 11 years of DAX futures data, indicate that the dynamic tail-risk protection strategy effectively reduces the tail risk while outperforming traditional portfolio protection strategies. The results are further validated by calculating the statistical significance of the results obtained using bootstrap methods. A number of robustness tests including application to other assets further underline the effectiveness of the strategy. Finally, by empirically testing for second-order stochastic dominance, we find that risk averse investors would be willing to pay a positive premium to move from a static buy-and-hold investment in the DAX future to the tail-risk protection strategy.
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Banks Credit and Productivity Growth
Fadi Hassan, Filippo di Mauro, Gianmarco Ottaviano
ECB Working Paper,
Nr. 2008,
2017
Abstract
Financial institutions are key to allocate capital to its most productive uses. In order to examine the relationship between productivity and bank credit in the context of different financial market set-ups, we introduce a model of overlapping generations of entrepreneurs under complete and incomplete credit markets. Then, we exploit firm-level data for France, Germany and Italy to explore the relation between bank credit and productivity following the main derivations of the model. We estimate an extended set of elasticities of bank credit with respect to a series of productivity measures of firms. We focus not only on the elasticity between bank credit and productivity during the same year, but also on the elasticity between credit and future realised productivity. Our estimates show a clear Eurozone core-periphery divide, the elasticities between credit and productivity estimated in France and Germany are consistent with complete markets, whereas in Italy they are consistent with incomplete markets. The implication is that in Italy firms turn to be constrained in their long-term investments and bank credit is allocated less efficiently than in France and Germany. Hence capital misallocation by banks can be a key driver of the long-standing slow productivity growth that characterises Italy and other periphery countries.
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Bracket Creeps: Bane or Boon for the Stability of Numerical Budget Rules?
Martin Altemeyer-Bartscher, Götz Zeddies
IWH Discussion Papers,
Nr. 29,
2016
Abstract
As taxpayers typically pay low attention to a small inflation-induced bracket creep of the income tax, policy-makers tend to postpone its correction into the future. However, the fiscal illusion fades away and political pressure for a tax relief arises since after some years the cumulative increase of the average tax rate exceeds a critical threshold. Using Germany as an example, this paper shows that bracket creeps can provoke revenue cycles in public budgets hindering governments’ compliance with the numerical budget rules. An indexation of the tax tariff could prevent such fluctuations and thus provides a favourable framework for the debt rule.
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The Behavioral Impact of Non-Monetary Workplace Characteristics
Sabrina Jeworrek
Schriftenreihe innovative betriebswirtschaftliche Forschung und Praxis,
Nr. 465,
2016
Abstract
This book investigates the impact of non-monetary workplace characteristics ― i.e. employee voice, task characteristics, and the provision of information ― on workers’ individual decision making and workplace performance. Given the neoclassical assumption of purely self-interested and completely rational utility maximizing individuals, workplace characteristics should be of little interest as long as they are not directly related to payment issues, so that a worker’s utility maximizing effort choice given a fixed wage level remains unaffected. Recent empirical findings, however, suggest that the use of non-monetary incentives might even be the better option to increase work performance. Three out of the four experimental studies covered by this book extend the previous research by providing more reliable insights into field behavior than conventional laboratory experiments. Given e.g. the right to self-determine one’s wage, almost all participants in the laboratory opt for the highest possible wage. Within the context of an inventory taking with 140 assistants, we conducted a natural field experiment and show that most workers ask for rather moderate wages with women being particularly conservative in their demands. Notwithstanding, wage delegation causes workers’ performance to rise and, hence, stresses the relevance of voice at the workplace. Furthermore, we provide evidence that workers also care for the content and the meaningfulness of their tasks. Uselessly exerted effort, for instance, reduces work performance as regards a completely unrelated task in the future. Taken together, the field experimental evidence presented in this book indicates that if employees find a workplace which matches their preferences, it is quite likely to be a beneficial situation not only for the employee but also for the employer. Overall good working conditions can even help workers overlook unequal treatments within the workforce, at least in the short-run and as long as there is a plausible reason for it. An additional laboratory experiment, however, suggests that additional information, e.g. about potential coworkers, might be necessary to make reasonable decisions in accordance with individual preferences.
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Innovation Network
Daron Acemoglu, Ufuk Akcigit, William R. Kerr
Proceedings of the National Academy of Sciences of the United States of America (PNAS),
Nr. 41,
2016
Abstract
Technological progress builds upon itself, with the expansion of invention in one domain propelling future work in linked fields. Our analysis uses 1.8 million US patents and their citation properties to map the innovation network and its strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975–1994. The interaction of this preexisting network structure with patent growth in upstream technology fields has strong predictive power on future innovation after 1995. This pattern is consistent with the idea that when there is more past upstream innovation for a particular technology class to build on, then that technology class innovates more.
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Abnormal Real Operations, Real Earnings Management, and Subsequent Crashes in Stock Prices
Bill Francis, Iftekhar Hasan, Lingxiang Li
Review of Quantitative Finance and Accounting,
Nr. 2,
2016
Abstract
We study the impact of firms’ abnormal business operations on their future crash risk in stock prices. Computed based on real earnings management (REM) models, firms’ deviation in real operations (DROs) from industry norms is shown to be positively associated with their future crash risk. This association is incremental to that between discretionary accruals (DAs) and crash risk found by prior studies. Moreover, after Sarbanes–Oxley Act (SOX) of 2002, DRO’s predictive power for crash risk strengthens substantially, while DA’s predictive power essentially dissipates. These results are consistent with the prior finding that managers shift from accrual earnings management to REM after SOX. We further develop a suspect-firm approach to capture firms’ use of DRO for REM purposes. This analysis shows that REM-firms experience a significant increase in crash risk in the following year. These findings suggest that the impact of DRO on crash risk is at least partially through REM.
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