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Quantitative methods (economics) --- Organization theory

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This paper evaluates the nature, relative incidence and drivers of software piracy. In contrast to prior studies, we analyze data that allows us to measure piracy for a specific product – Windows 7 – which was associated with a significant level of private sector investment. Using anonymized telemetry data, we are able to characterize the ways in which piracy occurs, the relative incidence of piracy across different economic and institutional environments, and the impact of enforcement efforts on choices to install pirated versus paid software. We find that: (a) the vast majority of “retail piracy” can be attributed to a small number of widely distributed “hacks” that are available through the Internet, (b) the incidence of piracy varies significantly with the microeconomic and institutional environment, and (c) software piracy primarily focuses on the most “advanced” version of Windows (Windows Ultimate). After controlling for a small number of measures of institutional quality and broadband infrastructure, one important candidate driver of piracy – GDP per capita – has no significant impact on the observed piracy rate, while the innovation orientation of an economy is associated with a lower rate of piracy. Finally, we are able to evaluate how piracy changes in response to country-specific anti-piracy enforcement efforts against specific peer-to-peer websites; overall, we find no systematic evidence that such enforcement efforts have had an impact on the incidence of software piracy.

Zonder onderwerpscode: economie

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While official measures of business dynamism have seen a long-term decline, early-stage venture financing of new companies has reached levels not observed since the late 1990s, resulting in a sharp debate about the state of American entrepreneurship. Building on Guzman and Stern (2015a; 2015b), this paper offers new evidence to inform this debate by estimating measures of entrepreneurial quality based on predictive analytics and comprehensive business registries. Our estimates suggest that the probability of a significant growth outcome (either an IPO or high-value acquisition) is highly skewed and predicted by observables at or near the time of business registration: 69% of realized growth events are in the top 5% of our estimated growth distribution. This high level of skewness motivates the development of three new economic statistics that simultaneously account for both the quantity as well as the quality of entrepreneurship: the Entrepreneurial Quality Index (EQI, measuring the average quality level among a group of start-ups within a given cohort), the Regional Entrepreneurship Cohort Potential Index (RECPI, measuring the growth potential of firms founded within a given region and time period) and the Regional Entrepreneurship Acceleration Index (REAI, measuring the performance of a region over time in realizing the potential of firms founded there). We use these statistics to establish several new findings about the history and state of US entrepreneurship using data for 15 states (covering 51% of the overall US economy) from 1988 through 2014. First, in contrast the secular decline in the aggregate quantity of entrepreneurship observed in series such as the Business Dynamic Statistics (BDS), the growth potential of start-up companies (RECPI relative to GDP) has followed a cyclical pattern that seems sensitive to the capital market environment and overall economic conditions. Second, while the peak value of RECPI is recorded in 2000, the level during the first decade during this century was actually higher than the late 1980s and first half of the 1990s, and also has experienced a sharp upward swing beginning in 2010. Even after controlling for changes in the overall size of the economy, the second highest level of entrepreneurial growth potential is registered in 2014. Third, the likelihood of start-up firms for a given quality level to realize their potential (REAI) declined sharply in the late 1990s, and did not recover through 2008. These findings suggest that divergent assessments of the state of American entrepreneurship can potentially be reconciled by explicitly adopting a quantitative approach to the measurement of entrepreneurial quality.

Zonder onderwerpscode: economie

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Zonder onderwerpscode: economie