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on Network Economics |
| By: | Thomas Cadet (University of Rennes1 - CREM UMR CNRS 6211, France); Sophie Larribeau (University of Rennes1 - CREM UMR CNRS 6211, France Keywords: network effect, mobile operator, satisfaction, recommendation); Thierry Pénard (University of Rennes1 - CREM UMR CNRS 6211, France) |
| Abstract: | On mobile phone markets that have reached the maturity stage, customer recommendation becomes a critical focus for operators to attract subscribers from rival operators. Referral propensity is also an indicator of subscriber satisfaction and loyalty. The aim of this paper is to examine the factors that influence customer recommendation. Precisely, we want to know whether referral propensity is more driven by supply-side effects (i.e. characteristics of mobile services) or demand-side effects (i.e. network effects). We use data from French subscriber surveys. The main findings are that referrals depend primarily on supply-side effects: operators’ brand image, the price and quality of services, and customer relations. Price, however, is considered to be a less significant factor than the quality of service when it comes to recommending an operator. Also, information on services and the variety of offerings available, as well as network effects, do not seem to influence referral propensity. |
| Keywords: | network effect, mobile operator, satisfaction, recommendation, customer referral |
| JEL: | D12 L96 |
| Date: | 2012–12 |
| URL: | http://d.repec.org/n?u=RePEc:tut:cremwp:201242&r=net |
| By: | Michele Manna (Bank of Italy); Alessandro Schiavone (Bank of Italy) |
| Abstract: | In this paper we conduct a simulation run on a sample of Italian banks where a trigger shock, a one-off event fairly large in size, spreads through the interbank network in a set-up featuring among the actors both commercial banks and the authorities. The banks deleverage to comply with a regulatory capital (leverage) ratio, roll off interbank loans, bid for central bank liquidity, seek help within their own group and dispose of assets. As the shock spreads, borrowers who lack liquid assets may be forced to undertake fire sales, letting their capital position deteriorate. A vicious circle arises in which capital and liquidity risks amplify the crisis. When authorities intervene, unconventional monetary policies smooth the contagion over but these measures become less effective when the shock is very large, when the situation is best addressed by policies aiming at strengthening banksÂ’ capital. In a theoretical scenario, in which authorities do not enact specific measures, a small fraction of the banking system (in terms of total assets) may be in default at the end of the simulation, while a larger share of banks would need to be recapitalized. |
| Keywords: | banking crises, contagion, leverage, interbank market, central bank operations |
| JEL: | E58 G01 G21 G28 |
| Date: | 2012–11 |
| URL: | http://d.repec.org/n?u=RePEc:bdi:wptemi:td_893_12&r=net |
| By: | Csaji, Balazs Cs. |
| Abstract: | Mobile phone datasets allow for the analysis of human behavior on an unprecedented scale. The social network, temporal dynamics and mobile behavior of mobile phone users have often been analyzed independently from each other using mobile phone datasets. In this article, we explore the connections between various features of human behavior extracted from a large mobile phone dataset. Our observations are based on the analysis of communication data of 100000 anonymized and randomly chosen individuals in a dataset of communications in Portugal. We show that clustering and principal component analysis allow for a significant dimension reduction with limited loss of information. The most important features are related to geographical location. In particular, we observe that most people spend most of their time at only a few locations. With the help of clustering methods, we then robustly identify home and oce locations and compare the results with ocial census data. Finally, we analyze the geographic spread of users’ frequent locations and show that commuting distances can be reasonably well explained by a gravity model. |
| Date: | 2012 |
| URL: | http://d.repec.org/n?u=RePEc:ner:louvai:info:hdl:2078.1/117630&r=net |
| By: | Gioia de Melo (Universidad de la República (Uruguay). Facultad de Ciencias Económicas y de Administración. Instituto de Economía) |
| Abstract: | This paper provides evidence on peer effects in standardized tests by exploiting a unique data set on social networks in Uruguayan primary schools. The identification method enables one to disentangle endogenous from contextual effects via instrumental variables that emerge naturally from the network structure. Correlated effects are controlled for via classroom fixed effects. I find significant endogenous effects in reading and math: a one-standard deviation increase in peers's scores increases own scores by about 40 percent of a standard deviation. Simulation exercises show that, when schools are stratified by socioeconomic status, peer effects may amplify educational inequalities. |
| Keywords: | Peer effects, Education, Networks, Inequality. |
| JEL: | I21 I24 O1 |
| Date: | 2012–10 |
| URL: | http://d.repec.org/n?u=RePEc:ulr:wpaper:dt-15-12&r=net |
| By: | Aditi Kambuj |
| Date: | 2012–09–26 |
| URL: | http://d.repec.org/n?u=RePEc:wiw:wiwneu:neurusp165&r=net |
| By: | Natalia Letki (PGPE Project, Institute of Sociology, University of Warsaw); Mierina, I. (Inta) |
| Abstract: | In this paper we treat social networks as a resource of individuals, that is used in conjunction with other types of capital, and similarly to other types of capital, its use is context-specific. We propose a conditional mechanism for how context determines networks use: not only does context affect network mobilisation, but that it affects behaviour of different groups differently. We test this proposition on the example of social and economic polarisation influencing probability of turning to networks for help by different income groups. Our findings show that although the poor have the greatest need to turn to networks to compensate for the shortage of other forms of capital, when context becomes adverse, in comparison with other groups they are always disadvantaged in terms of networks mobilisation. |
| Keywords: | social capital, networks, inequality, income, post-communist, Central Eastern Europe |
| Date: | 2012–06 |
| URL: | http://d.repec.org/n?u=RePEc:aia:ginidp:45&r=net |
| By: | Marlis Monsberger |
| Date: | 2012–12–15 |
| URL: | http://d.repec.org/n?u=RePEc:wiw:wiwneu:neurusp154&r=net |
| By: | Giuseppe Scellato; Chiara Franzoni; Paula Stephan |
| Abstract: | This paper explores the link between mobility and the presence of international research networks. Data come from the GlobSci survey of authors of articles published in 2009 in four fields of science working in sixteen countries. Summary evidence suggests that migration plays an important role in the formation of international networks. Approximately 40 percent of the foreign-born researchers report having kept research links with colleagues in their country of origin. Non-mobile researchers are less likely to collaborate with someone outside their country than are either the foreign born or returnees. When the non-mobile collaborate, their networks span fewer countries. Econometric results are consistent with the hypothesis that internationally mobile researchers contribute significantly to extending the international scope and quality of the research network in destination countries at no detriment to the quality of the research performed. Results also suggest that the “foreign premium” on collaboration propensity is driven in large part by mobile researchers who either trained or worked outside the destination country where they were surveyed in 2011. With but one exception, the mobility findings persist when we estimate models separately for the US, Europe, and other countries. |
| JEL: | F22 J24 J61 O30 |
| Date: | 2012–12 |
| URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:18613&r=net |