Information Economics and Policy最新文献

This paper investigates the effects of “Big Tech” platform acquisitions on venture capital (VC) funding for start-ups. We analyze 32,367 venture capital deals between 2010 and 2020, and 392 tech start-up acquisitions by Google, Facebook, Amazon, Apple, and Microsoft. Results obtained with fixed effects panel and differences-in-differences estimators reveal a positive, statistically significant, average effect of Big Tech start-up acquisitions on worldwide, venture capital activity. Positive effects were also found for the United States and Europe. However, the findings suggest that the effects are transient and fade away after several quarters. Because venture capitalists fund start-ups to enable entrepreneurial innovation, this approach also informs our understanding of the repercussions of these acquisitions on the start-up innovation ecosystem. The large number of observations over an extended period unlocks insights into historical patterns that are relevant for the design of digital platform policies.

Does digitalization by firms spur participation in Global Value Chains (GVCs)? Rapid strides in information and communication technology (ICT) through cost-effective and reliable telecommunications have facilitated multinational firms to outsource complex production activities across borders over the years. While the rise of GVCs to prominence has coincided with the ICT revolution, there is very little systematic empirical evidence at the firm-level documenting the nexus between digitalization of firms and their participation in GVCs. By using rich firm-level data for a sample of 24,839 firms across 52 countries spanning the period 2006–2018, we empirically test the importance of digitalization in deepening GVC participation. After correcting for potential biases arising from self-selection and reverse causality, our empirical analysis shows that digitalization by firms positively influences GVC deepening. Our results are quite robust to various measures of GVCs and digitalization. Further, we also document how digitalization boosts GVC integration of firms that are financially constrained.

During the COVID-19 sanitary crisis, many exams were hastily moved to online mode. This revived a much needed debate over the privacy issues associated with online proctoring of exams, while the validity and fairness of unproctored exams were increasingly questioned. With a randomized control trial, we estimate the effectiveness of prior warnings as a means of discouraging academic dishonesty in exams. We use original, non-intrusive technologies to surreptitiously identify cheating in a series of unproctored assignments and send a targeted warning to half of the students who were identified as cheaters. We then compare their cheating behavior on the final exam with the behavior of the group of unwarned cheaters. The warning proves effective but does not completely eliminate cheating, as some students’ cheating strategies become more sophisticated following issuance of the warnings. We conclude that switching traditional exams to online mode should be accompanied by proctoring. When proctoring is not possible, credible and effective anti-cheating technologies should be deployed together with adequate warnings.

This paper examines the effect of regulatory policies on mobile retail prices. Using quarterly data for 8 African countries for the period 2010:Q4 to 2014:Q4 we estimate structural demand and supply equations. We find that mobile termination rates (MTR) have significant positive impact on mobile retail prices. A decline in average MTR of 10% decreases average mobile retail prices by 2.5%. On the other hand, mobile number portability (MNP) has an insignificant effect on price and subscriptions in selected African countries. This may be due to inadequate implementation of MNP and consecutively low demand for porting numbers. The average market conduct in mobile telecommunications industry for selected African countries can be approximated by Cournot Nash equilibrium, while price elasticity of demand is on average $-$0.27.

We consider a departure from net neutrality by an Internet service provider (ISP) that financially discriminates among content providers through exclusive zero-rating contracts. Zero-rating is an instrument to distort competition between content providers and the manner in which consumers value content. We analyze its implications for the incentives to provide quality in the market for content and to invest in broadband infrastructure. Zero-rating makes content more expensive for consumers to use and imply a downward distortion of content quality. Content providers switch from minimal differentiation to a downward vertical differentiation outcome. Next, we find that zero-rating implies underprovision in the broadband infrastructure, which comes from a standard rent-extraction argument and a cost-alleviation channel related to the complementarity between network capacity and content quality. Finally, when implemented, zero-rating is found to be welfare reducing and detrimental to consumers.

Governments of advanced economies are extremely concerned about the illicit acquisition of information on critical technologies employed by their industries, and countering this economic espionage is quickly becoming one of their top priorities. The present paper advances the theoretical analysis of the interaction between economic espionage and counter-espionage, and presents a first approximation to an inquiry into the rationale for the influence of market competition in its dynamics. The proposed model assumes a country with a one-market economy open to international trade whose product is supplied by domestic firms. Moreover, successful economic espionage implying market entry of foreign firms would harm domestic welfare. Considering counter-espionage policy as entry barrier and sufficient efficiency in espionage and counter-espionage efforts, the analysis of the benchmark case characterized by no foreign consumer and one foreign firm suggests that demand characteristics play an important role in the complex influence of competition in espionage. Irrespective of this, optimal counter-espionage effort is always positive although negatively affected by competition.

Intensified by the COVID-19 pandemic, online labour markets are at the core of the economic and policy debate about the future of work and the conditions under which we work online. We analyse the effects of an increase in the cost of on-site work induced by COVID-19-related mobility restrictions on the substitution between on-site and remote job postings and between on-site and remote hires. We benefit from the fact that the implementation of stay-at-home requirements varies by country, time and level. We use unique company data from a large European online labour market. We provide empirical evidence for a positive effect of stay-at-home restrictions on job postings and hires of remote work relative to on-site work. Overall, our results suggest that employers are substituting remote employment for on-site employment, while there is no substantial change in overall employment.

Digital contact tracing is a promising digital public health intervention to manage epidemics. However, in order to reach its full potential, the technology has to be widely adopted and used. During the SARS-CoV-2 pandemic, this has not necessarily been the case. We review the literature with a focus on how participation in digital contact tracing could be fostered and provide policy recommendations on how to increase its adoption and usage as well as recommendations for further research.

Despite the popularity of ridesharing, there is limited empirical evidence on how ridesharing activities differ across regions with different levels of accessibility and the implication for consumers. In this paper, we study the market for rides across New York City neighborhoods. We construct a novel data set that contains massive API queries on route-specific estimates of pricing, wait time, and travel time of Uber, Lyft, and the public transit. After linking this data with actual trip records of taxis, Uber, and Lyft, we document a strong pattern that ridesharing has a larger market share relative to taxis in neighborhoods with lower accessibility, defined either in terms of geographic distance to Midtown Manhattan or “economic distance” to job opportunities. Next, we estimate a discrete-choice model of demand for rides and interpret the geography of ridesharing through the lens of the model. We find that consumer surplus from ridesharing varies drastically across geography: passengers that are 5 to 15 miles (resp. more than 15 miles) from Midtown experience a 60% (resp. 19%) larger consumer surplus relative to passengers that are within 5 miles from Midtown. Over half of these gains comes from reduced wait time.

This paper analyzes the effect of the development of the Internet on the share of small and medium-sized enterprises (SMEs) in total exports. We extend the Helpman, Melitz and Yeaple (2004) model to include the opportunity for firms to pay lower fixed export costs by exporting indirectly via well-established e-commerce platforms. SMEs self-select into the indirect exporting mode. In response to the development of the Internet, fixed costs of indirect exporting fall at a higher rate than fixed costs of direct exporting. Consequently, SMEs tend to account for a larger share in total exports as the Internet develops. Using two samples from the Exporter Dynamics Database, we find supporting evidence that the development of the Internet in the exporting country has a significant and negative effect on the share of exports by the top 5% or 25% of exporters, implying a larger share of SMEs. Moreover, we find that improved submarine cable infrastructure in the exporting country also leads to a lower share of exports by large exporters. These are in contrast to the estimated positive effect of telephone development in the exporting country, which may not disproportionately benefit indirect exporting via e-commerce platforms over direct exporting. Finally, we find an imperfect substitution relationship between e-commerce platforms and traditional intermediaries.