Measuring and Accounting for Innovation in the Twenty-First Century
Carol Corrado, Jonathan Haskel, Javier Miranda, Daniel Sichel
NBER Studies in Income and Wealth,
2021
Abstract
Measuring innovation is challenging both for researchers and for national statisticians, and it is increasingly important in light of the ongoing digital revolution. National accounts and many other economic statistics were designed before the emergence of the digital economy and the growing importance of intangible capital. They do not yet fully capture the wide range of innovative activity that is observed in modern economies.
This volume examines how to measure innovation, track its effects on economic activity and prices, and understand how it has changed the structure of production processes, labor markets, and organizational form and operation in business. The contributors explore new approaches to, and data sources for, measurement—such as collecting data for a particular innovation as opposed to a firm, and the use of trademarks for tracking innovation. They also consider the connections between university-based R&D and business startups, and the potential impacts of innovation on income distribution.
The research suggests potential strategies for expanding current measurement frameworks to better capture innovative activity, such as more detailed tracking of global value chains to identify innovation across time and space, and expanding the measurement of the GDP impacts of innovation in fields such as consumer content delivery and cloud computing.
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HIP, RIP, and the Robustness of Empirical Earnings Processes
Florian Hoffmann
Quantitative Economics,
Nr. 3,
2019
Abstract
The dispersion of individual returns to experience, often referred to as heterogeneity of income profiles (HIP), is a key parameter in empirical human capital models, in studies of life‐cycle income inequality, and in heterogeneous agent models of life‐cycle labor market dynamics. It is commonly estimated from age variation in the covariance structure of earnings. In this study, I show that this approach is invalid and tends to deliver estimates of HIP that are biased upward. The reason is that any age variation in covariance structures can be rationalized by age‐dependent heteroscedasticity in the distribution of earnings shocks. Once one models such age effects flexibly the remaining identifying variation for HIP is the shape of the tails of lag profiles. Credible estimation of HIP thus imposes strong demands on the data since one requires many earnings observations per individual and a low rate of sample attrition. To investigate empirically whether the bias in estimates of HIP from omitting age effects is quantitatively important, I thus rely on administrative data from Germany on quarterly earnings that follow workers from labor market entry until 27 years into their career. To strengthen external validity, I focus my analysis on an education group that displays a covariance structure with qualitatively similar properties like its North American counterpart. I find that a HIP model with age effects in transitory, persistent and permanent shocks fits the covariance structure almost perfectly and delivers small and insignificant estimates for the HIP component. In sharp contrast, once I estimate a standard HIP model without age‐effects the estimated slope heterogeneity increases by a factor of thirteen and becomes highly significant, with a dramatic deterioration of model fit. I reach the same conclusions from estimating the two models on a different covariance structure and from conducting a Monte Carlo analysis, suggesting that my quantitative results are not an artifact of one particular sample.
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Progressive Tax-like Effects of Inflation: Fact or Myth? The U.S. Post-war Experience
Matthias Wieschemeyer, Bernd Süssmuth
IWH Discussion Papers,
Nr. 33,
2017
Abstract
Inflation and earnings growth can push some tax payers into higher brackets in the absence of inflation-indexed schedules. Moreover, inflation may affect the composition of individuals’ income sources. As a result, depending on the relative tax burden of labour and capital, inflation may decrease or increase the difference between before-tax and after-tax income. However, whether some and if so which percentiles of the income distribution net benefit from inflation via taxation is a widely unexplored question. We make use of a novel dataset on U.S. pre-tax and post-tax income distribution series provided by Pike ty et al. (2018) for the years 1962 to 2014 to answer this question. To this end, we estimate local projections to quantify dynamic effects. We find that inflation shocks increase progressivity of taxation not only contemporaneously but also with some repercussion of several years after the shock. While particularly the bottom two quintiles gain in share, it is not the top but the fourth quintile that lastingly loses.
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Measuring Income Tax Evasion Using Bank Credit: Evidence from Greece
Nikolaos Artavanis, Adair Morse, Margarita Tsoutsoura
Quarterly Journal of Economics,
Nr. 2,
2016
Abstract
We document that in semiformal economies, banks lend to tax-evading individuals based on the bank’s assessment of the individual’s true income. This observation leads to a novel approach to estimate tax evasion. We use microdata on household credit from a Greek bank and replicate the bank underwriting model to infer the banks estimate of individuals’ true income. We estimate that 43–45% of self-employed income goes unreported and thus untaxed. For 2009, this implies €28.2 billion of unreported income, implying forgone tax revenues of over €11 billion or 30% of the deficit. Our method innovation allows for estimating the industry distribution of tax evasion in settings where uncovering the incidence of hidden cash transactions is difficult using other methods. Primary tax-evading industries are professional services—medicine, law, engineering, education, and media. We conclude with evidence that contemplates the importance of institutions, paper trail, and political willpower for the persistence of tax evasion.
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Exploring the Economic Convergence in the EU New Member States by Using Nonparametric Models
Monica Raileanu Szeles
IWH Discussion Papers,
Nr. 2,
2011
Abstract
This paper analyzes the process of real economic convergence in the New Member States (NMS) bein g formerly centrally planned economies, using nonparametric methods instead of conventional parametric measurement tools like beta and sigma models. This methodological framework allows the examining of the relative income distribution in different periods of time, the number of modes of the density distribution, the existence of “convergence clubs” in the distribution and the hypothesis of convergence at a single point in time. The modality tests (e.g. the ASH-WARPing procedure) and stochastic kernel are nonparametric techniques used in the empirical part of the study to examine the income distribution in the NMS area. Additionally, random effects panel regressions are used, but only for comparison reasons. The main findings of the paper are the bimodality of the income density distribution over time and across countries, and the presence of convergence clubs in the income distribution from 1995 to 2008. The findings suggest a lack of absolute convergence in the long term (1995-2008) and also when looking only from 2003 onwards. The paper concludes that, in comparison with the parametrical approach, the nonparametric one gives a deeper, real and richer perspective on the process of real convergence in the NMS area.
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Worker Remittances and Capital Flows to Developing Countries
Claudia M. Buch, A. Kuckulenz
International Migration,
Nr. 5,
2010
Abstract
Worker remittances constitute an increasingly important channel for the
transfer of resources to developing countries. Behind foreign direct investment,
remittances are the second-largest source of external funding for developing countries. Yet, literature on worker remittances has traditionally focused on the impact of remittances on income distribution within countries, on the determinants of remittances at a micro-level, or on the effects of migration and remittances for specific countries or regions. Macroeconomic determinants and effects of remittances have received more attention only recently. Hence, the focus of this paper is on the macroeconomic determinants of remittances and on differences in these determinants between remittances and other capital flows. We find that
remittances respond more to demographic variables while private capital
flows respond more to macroeconomic conditions.
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Neo-liberalism, the Changing German Labor Market, and Income Distribution: An Institutionalist and Post Keynesian Analysis
John B. Hall, Udo Ludwig
Journal of Economic Issues,
2010
Abstract
This inquiry relies on an Institutionalist and Post Keynesian analysis to explore Germany's neo-liberal project, noting cumulative effects emerging as measurable economic and societal outcomes. Investments in technologies generate rising output-to-capital ratios. Increasing exports offset the Domar problem, but give rise to capital surpluses. National income redistributes in favor of capital. Novel labor market institutions emerge. Following Minsky, good times lead to bad: as seeming successes of neo-liberal policies are accompanied by financial instability, growing disparities in household incomes, and sharp declines in German exports on world markets, resulting in one of the deepest, recent contractions in the industrialized world.
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Gauging the Potential for Social Unrest
Walter Hyll, Oded Stark, Doris A. Behrens
Public Choice,
2010
Abstract
It stands to reason that social unrest does not erupt out of the blue. Although there are a great many reasons why social dismay might descend into social disorder, only few yardsticks or indices can plausibly be used to gauge the potential for social unrest (PSU). If policy makers want to undertake public action to prevent social dismay escalating into social disruption, they obviously need to draw on practical sensors. This paper assesses critically the adequacy of two such measures, the polarization (P) index, and the total relative deprivation (TRD) index. The paper proposes a tentative guide to selecting between these two measures. A review of three stylized scenarios suggests that, where income redistributions reduce the number of distinct income groups, and when each group is characterized by a strong sense of within-group identity, the P index surpasses the TRD index as a basis for predicting PSU. When the within-group identification is weak, however, it is better to use the TRD index to predict PSU.
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Trade's Impact on the Labor Share: Evidence from German and Italian Regions
Claudia M. Buch
IAW Discussion Paper No. 46,
2008
Abstract
Has the labor share declined? And what is the impact of international trade? These
questions are not only relevant in an international context they also matter for
understanding the regional distribution of incomes in a given country. In this
paper, we study two regions with trade exposures that differ from the rest of the
country, and which display distinct changes in the labor share. East German and
Southern Italian regions have a degree of international openness which is below
the countries’ averages. At the same time, there has been a more pronounced
decline in the labor share in East Germany than in West Germany. In Southern
Italy, the labor share has increased in recent years. We show that increased trade
openness is not the main culprit behind changing labor shares.
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