Assessing Competitiveness: How Firm-Level Data Can Help
Carlo Altomonte, Filippo di Mauro, Giorgio Barba Navaretti, Gianmarco Ottaviano
Bruegel Policy Contribution,
No. 16,
2011
Abstract
As policymakers refocus on growth, the ability to take a firm-level view is key to disentangling the various factors at the root of competitiveness, and thus to designing appropriate policies. Firm-level data provides critical information for the design of appropriate competitiveness measures that complement traditional macro analysis. More work remains to be done assembling firm-level information, but the variance of the distribution of firm characteristics already conveys important information in addition to standard averages. New indicators should be developed to translate the distribution of firm characteristics into indicators of competitiveness designed to capture not only average performance but also the heterogeneity of firm performance. This Policy Contribution builds on ongoing research within EFIGE (www.efige.org), a project to help identify the internal policies needed to improve the external competitiveness of the European Union.
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The Impact of Government Procurement Composition on Private R&D Activities
Viktor Slavtchev, Simon Wiederhold
Abstract
This paper addresses the question of whether government procurement can work as a de facto innovation policy tool. We develop an endogenous growth model with quality-improving in-novation that incorporates industries with heterogeneous innovation sizes. Government demand in high-tech industries increases the market size in these industries and, with it, the incentives for private firms to invest in R&D. At the economy-wide level, the additional R&D induced in high-tech industries outweighs the R&D foregone in all remaining industries. The implications of the model are empirically tested using a unique data set that includes federal procurement in U.S. states. We find evidence that a shift in the composition of government purchases toward high-tech industries indeed stimulates privately funded company R&D.
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Stock Market Firm-Level Information and Real Economic Activity
Filippo di Mauro, Fabio Fornari, Dario Mannucci
ECB Working Paper,
No. 1366,
2011
Abstract
We provide evidence that changes in the equity price and volatility of individual firms (measures that approximate the definition of 'granular shock' given in Gabaix, 2010) are key to improve the predictability of aggregate business cycle fluctuations in a number of countries. Specifically, adding the return and the volatility of firm-level equity prices to aggregate financial information leads to a significant improvement in forecasting business cycle developments in four economic areas, at various horizons. Importantly, not only domestic firms but also foreign firms improve business cycle predictability for a given economic area. This is not immediately visible when one takes an unconditional standpoint (i.e. an average across the sample). However, conditioning on the business cycle position of the domestic economy, the relative importance of the two sets of firms - foreign and domestic - exhibits noticeable swings across time. Analogously, the sectoral classification of the firms that in a given month retain the highest predictive power for future IP changes also varies significantly over time as a function of the business cycle position of the domestic economy. Limited to the United States, predictive ability is found to be related to selected balance sheet items, suggesting that structural features differentiate the firms that can anticipate aggregate fluctuations from those that do not help to this aim. Beyond the purely forecasting application, this finding may enhance our understanding of the underlying origins of aggregate fluctuations. We also propose to use the cross sectional stock market information to macro-prudential aims through an economic Value at Risk.
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ICT Adoption and Heterogeneity in Production Technologies: Evidence for Chilean Retailers
Gaaitzen J. de Vries, Michael Koetter
Oxford Bulletin of Economics and Statistics,
No. 4,
2011
Abstract
The adoption of information and communication technology (ICT) can have far-reaching effects on the nature of production technologies. Because ICT adoption is incomplete, especially in developing countries, different groups of firms will have different production technologies. We estimate a latent class stochastic frontier model, which allows us to test for the existence of multiple production technologies across firms and consider the associated implications for efficiency measures. We use a unique data set of Chilean retailers, which includes detailed information on ICT adoption. We find three distinct production technologies. The probability of membership in a more productive group is positively related to ICT use.
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The Quantity Theory Revisited: A New Structural Approach
Makram El-Shagi, Sebastian Giesen
Abstract
While the long run relation between money and inflation is well established, empirical evidence on the adjustment to the long run equilibrium is very heterogeneous. In this paper we show, that the development of US consumer price inflation between 1960Q1 and 2005Q4 is strongly driven by money overhang. To this end, we use a multivariate state space framework that substantially expands the traditional vector error correction approach. This approach allows us to estimate the persistent components of velocity and GDP. A sign restriction approach is subsequently used to identify the structural shocks to the signal equations of the state space model, that explain money growth, inflation and GDP growth. We also account for the possibility that measurement error exhibited by simple-sum monetary aggregates causes the consequences of monetary shocks to be improperly identified by using a Divisia monetary aggregate. Our findings suggest that when the money is measured using a reputable index number, the quantity theory holds for the United States.
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Has the Euro Increased International Price Elasticities?
Oliver Holtemöller, Götz Zeddies
IWH Discussion Papers,
No. 18,
2010
published in: Empirica
Abstract
This paper analyzes the role of common data problems when identifying structural breaks in small samples. Most notably, we survey small sample properties of the most commonly applied endogenous break tests developed by Brown, Durbin, and Evans (1975) and Zeileis (2004), Nyblom (1989) and Hansen (1992), and Andrews, Lee, and Ploberger (1996). Power and size properties are derived using Monte Carlo simulations. Results emphasize that mostly the CUSUM type tests are affected by the presence of heteroscedasticity, whereas the individual parameter Nyblom test and AvgLM test are proved to be highly robust. However, each test is significantly affected by leptokurtosis. Contrarily to other tests, where skewness is far more problematic than kurtosis, it has no additional effect for any of the endogenous break tests we analyze. Concerning overall robustness the Nyblom test performs best, while being almost on par to more recently developed tests in terms of power.
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Real Estate Prices and Bank Stability
Michael Koetter, Tigran Poghosyan
Journal of Banking and Finance,
No. 34,
2010
Abstract
Real estate prices can deviate from their fundamental value due to rigid supply, heterogeneity in quality, and various market imperfections, which have two contrasting effects on bank stability. Higher prices increase the value of collateral and net wealth of borrowers and thus reduce the likelihood of credit defaults. In contrast, persistent deviations from fundamentals may foster the adverse selection of increasingly risky creditors by banks seeking to expand their loan portfolios, which increases bank distress probabilities. We test these hypotheses using unique data on real estate markets and banks in Germany. House price deviations contribute to bank instability, but nominal house price developments do not. This finding corroborates the importance of deviations from the fundamental value of real estate, rather than just price levels or changes alone, when assessing bank stability.
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International Bank Portfolios: Short- and Long-Run Responses to Macroeconomic Conditions
S. Blank, Claudia M. Buch
Review of International Economics,
No. 2,
2010
Abstract
International bank portfolios constitute a large component of international country portfolios. Yet, banks’ response to international macroeconomic conditions remains largely unexplored.We use a novel dataset on banks’ international portfolios to answer three questions. First, what are the long-run determinants of banks’ international portfolios? Second, how do banks’ international portfolios adjust to short-run macroeconomic developments? Third, does the speed of adjustment change with the degree of financial integration?We find that, in the long-run, market size has a positive impact on foreign assets and liabilities. An increase in the interest differential between the home and the foreign economy lowers foreign assets and increases foreign liabilities. Foreign trade has a positive impact on international bank portfolios, which is independent from the effect of other macroeconomic variables. Short-run dynamics show heterogeneity across countries, but these dynamics can partly be explained with gravity-type variables.
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Transmission of Nominal Exchange Rate Changes to Export Prices and Trade Flows and Implications for Exchange Rate Policy
Mathias Hoffmann, Oliver Holtemöller
Scandinavian Journal of Economics,
2010
Abstract
We discuss how the welfare ranking of fixed and flexible exchange rate regimes in a New Open Economy Macroeconomics model depends on the interplay between the degree of exchange rate pass-through and the elasticity of substitution between home and foreign goods. We identify combinations of these two parameters for which flexible and fixed exchange rates are superior with respect to welfare as measured by a representative household's utility level. We estimate the two parameters for six non-EMU European countries (Czech Republic, Hungary, Poland, Slovakia, Sweden, and the UK) using a heterogeneous dynamic panel approach.
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