Does it Payoff to Research Economics? A Tale of Citation, Knowledge and Economic Growth in Transition Countries
Dejan Kovač, Boris Podobnik, Nikol Scrbec
Physica A: Statistical Mechanics and its Applications,
September
2018
Abstract
There are many economic theories that promote human capital as a key driver of a country’s economic growth, but it is challenging to test this theory empirically on a country level and causally interpret the coefficients due to several identification problems. We tried to answer this particular question by using a quasi-natural experiment that happened quarter century ago – the fall of communist block in Eastern Europe. We use a shock to a particular scientific field – economics, to test whether the future investment into that particular field resulted in increased welfare and economic growth. The economics paradigm that was governing all of the communist block ceased to exist. Human capital depreciated over night and all communist countries had to transit from planned economy to a market economy. In the following years countries had to adapt to market economy through additional investment in human capital and research. We find that countries which lack both of the two fourth mentioned components had 25 years later a relatively lower economic growth and wealth. Unlike economics, other fields such as physics and medicine did not go through the same process so we use them as a placebo effect for our study. We find that the relative ratio of citations between economics and physics in post-communist countries is increasing only 15 years after the “paradigm” shock which gives a suggestive evidence that timing of investment into particular scientific field matters the most.
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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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Criminal Network Formation and Optimal Detection Policy: The Role of Cascade of Detection
Liuchun Deng, Yufeng Sun
Journal of Economic Behavior and 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.
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Creative Destruction and Subjective Well-being
Philippe Aghion, Ufuk Akcigit, Angus Deaton, Alexandra Roulet
American Economic Review,
Nr. 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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Alternatives to GDP - Measuring the Impact of Natural Disasters using Panel Data
Jörg Döpke, Philip Maschke
Journal of Economic and Social Measurement,
Nr. 3,
2016
Abstract
A frequent criticism of GDP states that events that obviously reduce welfare of people can nevertheless increase GDP per capita. We use data of natural disasters as quasi experiments to examine whether alternatives to GDP (Human Development Index, Progress Index, Index of Economic Well-Being and a Happiness Index) lead to more plausible responses to disasters. Applying a Differences-in-Differences approach and estimates from various panels of countries we find no noteworthy differences between the response of real GDP per capita and the responses of suggested alternative welfare measures to a natural disaster except for the Human Development Index.
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The Role of Information in Innovation and Competition
Ufuk Akcigit, Qingmin Liu
Journal of the European Economic Association,
Nr. 4,
2016
Abstract
Innovation is typically a trial‐and‐error process. While some research paths lead to the innovation sought, others result in dead ends. Because firms benefit from their competitors working in the wrong direction, they do not reveal their dead‐end findings. Time and resources are wasted on projects that other firms have already found to be fruitless. We offer a simple model with two firms and two research lines to study this prevalent problem. We characterize the equilibrium in a decentralized environment that necessarily entails significant efficiency losses due to wasteful dead‐end replication and an information externality that leads to an early abandonment of the risky project. We show that different types of firms follow different innovation strategies and create different kinds of welfare losses. In an extension of the core model, we also study a centralized mechanism whereby firms are incentivized to disclose their actions and share their private information in a timely manner.
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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,
Nr. 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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