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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Channeling the Iron Ore Super-cycle: The Role of Regional Bank Branch Networks in Emerging Markets
Helge Littke
IWH Discussion Papers,
No. 11,
2018
Abstract
The role of the financial system to absorb and to intermediate commodity boom induced windfall gains efficiently presents one of the most pressing issues for developing economies. Using an exogenous increase in iron ore prices in March 2005, I analyse the role of regional bank branch networks in Brazil in reallocating capital from affected to non-affected regions. For the period from March 2004 to March 2006, I find that branches directly exposed to this shock by their geographical location experience an increase in deposit growth in the post-shock period relative to non-affected branches. Given that these deposits are not reinvested locally, I further show that branches located in the non-affected region increase lending growth depending on their indirect exposure to the booming regions via their branch network. Even tough, these results provide evidence against a Dutch Disease type crowding out of the non-iron ore sector, further evidence suggests that this capital reallocation is far from being optimal.
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Skills, Earnings, and Employment: Exploring Causality in the Estimation of Returns to Skills
Franziska Hampf, Simon Wiederhold, Ludger Woessmann
Large-scale Assessments in Education,
No. 12,
2017
Abstract
Ample evidence indicates that a person’s human capital is important for success on the labor market in terms of both wages and employment prospects. However, unlike the efforts to identify the impact of school attainment on labor-market outcomes, the literature on returns to cognitive skills has not yet provided convincing evidence that the estimated returns can be causally interpreted. Using the PIAAC Survey of Adult Skills, this paper explores several approaches that aim to address potential threats to causal identification of returns to skills, in terms of both higher wages and better employment chances. We address measurement error by exploiting the fact that PIAAC measures skills in several domains. Furthermore, we estimate instrumental-variable models that use skill variation stemming from school attainment and parental education to circumvent reverse causation. Results show a strikingly similar pattern across the diverse set of countries in our sample. In fact, the instrumental-variable estimates are consistently larger than those found in standard least-squares estimations. The same is true in two “natural experiments,” one of which exploits variation in skills from changes in compulsory-schooling laws across U.S. states. The other one identifies technologically induced variation in broadband Internet availability that gives rise to variation in ICT skills across German municipalities. Together, the results suggest that least-squares estimates may provide a lower bound of the true returns to skills in the labor market.
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Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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Banks Credit and Productivity Growth
Fadi Hassan, Filippo di Mauro, Gianmarco Ottaviano
ECB Working Paper,
No. 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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Urban Agglomeration and CEO Compensation
Bill Francis, Iftekhar Hasan, Kose John, Maya Waisman
Journal of Financial and Quantitative Analysis,
No. 6,
2016
Abstract
We examine the relation between the agglomeration of firms around big cities and chief executive officer (CEO) compensation. We find a positive relation among the metropolitan size of a firm’s headquarters, the total and equity portion of its CEO’s pay, and the quality of CEO educational attainment. We also find that CEOs gradually increase their human capital in major metropolitan areas and are rewarded for this upon relocation to smaller cities. Taken together, the results suggest that urban agglomeration reflects local network spillovers and faster learning of skilled individuals, for which firms are willing to pay a premium and which are therefore important factors in CEO compensation.
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