nep-ict New Economics Papers
on Information and Communication Technologies
Issue of 2019‒06‒24
five papers chosen by
Marek Giebel
Universität Dortmund

  1. Digitalization and the performance of micro and small enterprises in Yogyakarta, Indonesia By Anna T. Falentina; Budy P. Resosudarmo; Danang Darmawan; Eny Sulistyaningrum
  2. An experimental study on the effects of communication, credibility, and clustering in network games By Gary Charness; Francesco Feri; Miguel A. Meléndez-Jiménez; Matthias Sutter
  3. FinTechs and the Market for Financial Analysis By Jillian Grennan; Roni Michaely
  4. Inequality, Information Technology and Inclusive Education in Sub-Saharan Africa By Simplice A. Asongu; Stella-Maris I. Orim; Rexon T. Nting
  5. Online Job Seekers in Canada: What Can We Learn from Bing Job Queries? By André Binette; Karyne B. Charbonneau; Nicholas Curtis; Gabriela Galassi; Scott Counts; Justin Cranshaw

  1. By: Anna T. Falentina; Budy P. Resosudarmo; Danang Darmawan; Eny Sulistyaningrum
    Abstract: The world is going digital. Little is known about how this digitalization affects the performance of micro and small enterprises, one of the major foundations of the economy in developing countries but with relatively low productivity. This paper examines the causal impact of internet utilization, as a part of digitalization, on enterprise performance. We conducted a field survey among micro and small enterprises in Yogyakarta, the densest micro and small enterprise population province in Indonesia. The identification strategy exploits the fact that the differences in geographic topography produce conceivably exogenous variations in the strength of cellular signal that micro and small enterprises in various areas can receive to connect to the internet. We find that internet utilization has enabled micro and small enterprises to engage in the digital economy and has improved labor productivity and exports.
    Keywords: digital technology, internet, micro and small enterprises, productivity, exports
    JEL: H54 L53 L96
    Date: 2019
  2. By: Gary Charness; Francesco Feri; Miguel A. Meléndez-Jiménez; Matthias Sutter
    Abstract: The effectiveness of social interaction depends strongly on an ability to coordinate actions efficiently. In large networks, such coordination may be very difficult to achieve and may depend on the communication technology and the network structure. We examine how pre-play communication and clustering within networks affect coordination in a challenging experimental game on eight-person networks. Free-form chat is enormously effective in achieving the non-equilibrium efficient outcome in our game, but restricted communication (where subjects can only indicate their intended action) is almost entirely ineffective. We can rationalize this result with a novel model about the credibility of cheap-talk messages. This credibility is much larger with freeform message communication than with restricted communication. We are the first to model this credibility and show, both theoretically and experimentally, an interaction effect of network structure and communication technologies. We also provide a model of message diffusion, which indeed predicts that diffusion will be more rapid without clustering and is consistent with our data.
    Keywords: networks, clustering, communication, credibility, cheap talk, experiment
    JEL: C71 C91 D03 D85
    Date: 2019
  3. By: Jillian Grennan (Duke University - Fuqua School of Business; Duke Innovation & Entrepreneurship Initiative); Roni Michaely (University of Geneva - Geneva Finance Research Institute (GFRI); Swiss Finance Institute)
    Abstract: Market intelligence FinTechs aggregate many data sources, including nontraditional ones, and synthesize such data using artificial intelligence to make investment recommendations. Using data from a market intelligence FinTech, we evaluate the relationship between the FinTech data coverage and market efficiency. We find an increase in price informativeness for stocks with higher FinTech coverage and that traditional sources of information have less impact on prices for those stocks. Consistent with FinTechs changing investors' behavior, we show a substitution between traditional information sources and FinTechs using internet click data. Overall, our results suggest the rise in FinTechs for investment recommendations benefits investors.
    Keywords: Fintech, FinTechs (financial technology firms), Market intelligence, Artificial intelligence, Aggregators, Social media, Financial blogs, Information and market efficiency, Big data, Machine learning, Datamining, Data signal providers
    JEL: D14 G11 G14 G23
    Date: 2019–03
  4. By: Simplice A. Asongu (Yaoundé/Cameroon); Stella-Maris I. Orim (Coventry University, UK); Rexon T. Nting (University of Wales, London, UK)
    Abstract: This study examines linkages between inequality, information and communication technology (ICT) and inclusive education in order to establish inequality thresholds that should not be exceeded in order for ICT to promote inclusive education in 42 countries in sub-Saharan Africa for the period 2004-2014. The empirical evidence is based on the Generalized Method of Moments. The following findings are established. First, a Gini coefficient and an Atkinson index of respectively, 0.400 and 0.625 are income inequality thresholds that should not be exceeded in order for internet penetration to positively influence inclusive education. Second, a Gini coefficient, an Atkinson index and a Palma ratio of respectively, 0.574, 0.676 and 9.000 are thresholds of income inequality that if exceeded, fixed broadband subscriptions will no longer positively affect inclusive education. As a main policy implication, the established inequality thresholds should not be exceeded in order for ICT to promote inclusive education in sampled countries. Other implications in the light of Sustainable Development Goals (SDGs) are discussed.
    Keywords: Education; Inequality; ICT; Sub-Saharan Africa
    JEL: I24 I25 I39 O40 O55
    Date: 2019–01
  5. By: André Binette; Karyne B. Charbonneau; Nicholas Curtis; Gabriela Galassi; Scott Counts; Justin Cranshaw
    Abstract: Labour markets in Canada and around the world are evolving rapidly with the digital economy. Traditional data are adapting gradually but are not yet able to provide timely information on this evolution.
    Keywords: Central bank research; Labour markets; Monetary Policy
    JEL: C80 E24 J21
    Date: 2019–06

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