Identifying Cooperation for Innovation – A Comparison of Data Sources
Michael Fritsch, Matthias Piontek, Mirko Titze
Abstract
The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidised collaborative Research and Development projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers. The key role of universities that connect many regional actors is identified in all three types of data.
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Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations
Christiane Baumeister, James D. Hamilton
Journal of Monetary Economics,
2018
Abstract
Point estimates and error bands for SVARs that are set identified are only justified if the researcher is persuaded that some parameter values are a priori more plausible than others. When such prior information exists, traditional approaches can be generalized to allow for doubts about the identifying assumptions. We use information about both structural coefficients and impacts of shocks and propose a new asymmetric t-distribution for incorporating information about signs in a nondogmatic way. We apply these methods to a three-variable macroeconomic model and conclude that monetary policy shocks are not the major driver of output, inflation, or interest rates.
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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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Banks Fearing the Drought? Liquidity Hoarding as a Response to Idiosyncratic Interbank Funding Dry-ups
Helge Littke, Matias Ossandon Busch
IWH Discussion Papers,
No. 12,
2018
Abstract
Since the global financial crisis, economic literature has highlighted banks’ inclination to bolster up their liquid asset positions once the aggregate interbank funding market experiences a dry-up. To this regard, we show that liquidity hoarding and its detrimental effects on credit can also be triggered by idiosyncratic, i.e. bankspecific, interbank funding shocks with implications for monetary policy. Combining a unique data set of the Brazilian banking sector with a novel identification strategy enables us to overcome previous limitations for studying this phenomenon as a bankspecific event. This strategy further helps us to analyse how disruptions in the bank headquarters’ interbank market can lead to liquidity and lending adjustments at the regional bank branch level. From the perspective of the policy maker, understanding this market-to-market spillover effect is important as local bank branch markets are characterised by market concentration and relationship lending.
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Early-Stage Business Formation: An Analysis of Applications for Employer Identification Numbers
Kimberly Bayard, Emin Dinlersoz, Timothy Dunne, John Haltiwanger, Javier Miranda, John Stevens
NBER Working Paper,
No. 24364,
2018
Abstract
This paper reports on the development and analysis of a newly constructed dataset on the early stages of business formation. The data are based on applications for Employer Identification Numbers (EINs) submitted in the United States, known as IRS Form SS-4 filings. The goal of the research is to develop high-frequency indicators of business formation at the national, state, and local levels. The analysis indicates that EIN applications provide forward-looking and very timely information on business formation. The signal of business formation provided by counts of applications is improved by using the characteristics of the applications to model the likelihood that applicants become employer businesses. The results also suggest that EIN applications are related to economic activity at the local level. For example, application activity is higher in counties that experienced higher employment growth since the end of the Great Recession, and application counts grew more rapidly in counties engaged in shale oil and gas extraction. Finally, the paper provides a description of new public-use dataset, the “Business Formation Statistics (BFS),” that contains new data series on business applications and formation. The initial release of the BFS shows that the number of business applications in the 3rd quarter of 2017 that have relatively high likelihood of becoming job creators is still far below pre-Great Recession levels.
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Macroprudential Policy and Intra-group Dynamics: The Effects of Reserve Requirements in Brazil
Chris Becker, Matias Ossandon Busch, Lena Tonzer
Abstract
This paper examines whether intra-group dynamics matter for the transmission of macroprudential policy. Using novel bank-level data on the Brazilian banking system, we investigate the effect of reserve requirements targeting headquarter banks’ deposit share on credit supply by their municipal bank branches. For identification purposes, we exploit that reserve requirements are adjusted following global economic cycles. Our results reveal a lending channel of reserve requirements for branches whose parent banks are more exposed to targeted deposits. Branch ownership and exposure to internal liquidity are central in explaining the results. Our findings reveal limitations in current macroprudential policy frameworks.
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Do Managerial Risk-taking Incentives Influence Firms' Exchange Rate Exposure?
Bill Francis, Iftekhar Hasan, Delroy M. Hunter, Yun Zhu
Journal of Corporate Finance,
2017
Abstract
There is scant evidence on how risk-taking incentives impact specific firm risks. This has implications for board oversight of managerial risk taking, firms' development of comparative advantage in taking particular risks, and compensation design. We examine this question for exchange rate risk. Using multiple identification strategies, we find that vega increases exchange rate exposure for purely domestic and globally engaged firms. Vega's impact increases with international operations, declines post-SOX, and is robust to firm-level governance. Our results suggest that evidence that exposure reduces firm value can be viewed, in part, as a wealth transfer from shareholders and debt-holders to managers.
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Benchmark Value-added Chains and Regional Clusters in R&D-intensive Industries
Reinhold Kosfeld, Mirko Titze
International Regional Science Review,
No. 5,
2017
Abstract
Although the phase of euphoria seems to be over, policy makers and regional agencies have maintained their interest in cluster policy. Modern cluster theory provides reasons for positive external effects that may accrue from interaction in a group of proximate enterprises operating in common and related fields. Although there has been some progress in locating clusters, in most cases only limited knowledge on the geographical extent of regional clusters has been established. In the present article, we present a hybrid approach to cluster identification. Dominant buyer–supplier relationships are derived by qualitative input–output analysis from national input–output tables, and potential regional clusters are identified by spatial scanning. This procedure is employed to identify clusters of German research and development-intensive industries. A sensitivity analysis reveals good robustness properties of the hybrid approach with respect to variations in the quantitative cluster composition.
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Inflation Dynamics During the Financial Crisis in Europe: Cross-sectional Identification of Long-run Inflation Expectations
Geraldine Dany-Knedlik, Oliver Holtemöller
IWH Discussion Papers,
No. 10,
2017
Abstract
We investigate drivers of Euro area inflation dynamics using a panel of regional Phillips curves and identify long-run inflation expectations by exploiting the crosssectional dimension of the data. Our approach simultaneously allows for the inclusion of country-specific inflation and unemployment-gaps, as well as time-varying parameters. Our preferred panel specification outperforms various aggregate, uni- and multivariate unobserved component models in terms of forecast accuracy. We find that declining long-run trend inflation expectations and rising inflation persistence indicate an altered risk of inflation expectations de-anchoring. Lower trend inflation, and persistently negative unemployment-gaps, a slightly increasing Phillips curve slope and the downward pressure of low oil prices mainly explain the low inflation rate during the recent years.
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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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