Essays on communication, social interactions and information

This thesis consists of three papers in the broad field of Applied Economics. I focus on three “soft factors”, namely, face-to-face communication, brief social interactions and information updates. I study on how they affect individual and organisational outcomes using different natural experiments. The first chapter provides causal evidence on how the ability to communicate face-to-face (in addition to electronic communication) can increase organisational performance. The study exploits a natural experiment within a large organisation where workers must communicate electronically with their teammates. A computerized system allocates the tasks to workers creating exogenous variation in the co-location of teammates. Workers who share the same room, can also communicate in person. The main findings are that face-to-face communication increases productivity and that this effect significantly varies across tasks, team characteristics and working environments. In the second chapter I construct a novel dataset of immigrants and ships arrived to the US in the early 20th century to study the effects of brief social interactions and their persistence over time. The chapter shows that individuals travelling (during few days) with shipmates that have better connections in the US, have higher quality jobs. Several findings are consistent with the mechanism whereby individuals get information or access to job opportunities from their shipmates. The study highlights the importance of social interactions with unknown individuals during critical life junctures. It also suggests that they are more relevant for individuals with poor access to information or weak social networks. The third chapter shows that executions cause a local and temporary reduction in serious violent crime. The interpretation of this result follows from a theoretical framework connecting information updates with the increasing ’awareness’ of individuals about the consequences of crime. Consistently with the predictions of the model, the study finds that effects are stronger when media attention is high and lower in places with high propensity to apply the death penalty

Talent poaching and job rotation

The value of a firm’s service lies both in its workers and its relationship with clients. In this paper, we study the interaction between client-specific experience accumulated by workers, poaching behaviour from clients and strategic rotation of workers by firms. Using detailed personnel data from a security-service firm, we show that an increase in client-specific experience increases both the productivity of workers and their probability of being poached. The firm reacts to this risk by rotating workers across multiple clients, and more frequently so to those workers more likely to be poached. Furthermore, we find that after a policy change that prohibited poaching, the firm sharply decreased the frequency of rotation which in turn increased workers’ productivity. We propose a theoretical model that guides the empirical patterns and allows us to argue their external validity beyond our specific empirical setting. Finally, we provide survey evidence from the security service sector, demonstrating the consistency between our findings and industry observations

The scale-free topology of market investments

We propose a network description of large market investments, where both stocks and shareholders are represented as vertices connected by weighted links corresponding to shareholdings. In this framework, the in-degree ($k_{in}$) and the sum of incoming link weights ($v$) of an investor correspond to the number of assets held (\emph{portfolio diversification}) and to the invested wealth (\emph{portfolio volume}) respectively. An empirical analysis of three different real markets reveals that the distributions of both $k_{in}$ and $v$ display power-law tails with exponents $\gamma$ and $\alpha$. Moreover, we find that $k_{in}$ scales as a power-law function of $v$ with an exponent $\beta$. Remarkably, despite the values of $\alpha$, $\beta$ and $\gamma$ differ across the three markets, they are always governed by the scaling relation $\beta=(1-\alpha)/(1-\gamma)$. We show that these empirical findings can be reproduced by a recent model relating the emergence of scale-free networks to an underlying Paretian distribution of `hidden' vertex properties.Comment: Final version accepted for publication on Physica

The impact of immigration on the labour market: Evidence from 20 years of cross-border migration to Argentina

This paper studies the effects of immigration on the wages of Argentinean native workers over the period 1993-2012. I use a novel micro-dataset which combines household surveys from Argentina and six other Latin American countries. Immigration from these six countries accounts for 95% of the total immigration from Latin American countries. The empirical strategy identifies the effects of the labour supply variation using the “national approach” from Borjas (2003) and a reduced form equation obtained within a CES framework. In order to account for demand/pull shocks, I propose a set of instruments based on labour market conditions in immigrants’ home countries. An alternative specification also explores the hypothesis of heterogeneous impact by country of origin. Overall, findings show a significant negative impact of immigration on wages. IV estimates suggest that OLS results are a lower bound for the (partial) causal effect. Thus, if confounding demand factors exist, they bias the results toward zero

The Persistent Effects of Brief Interactions: Evidence from Immigrant Ships

This paper shows that brief social interactions can have a large impact on economic outcomes when they occur in high-stakes decision contexts. I study this question using a high frequency and detailed geolocalized dataset of matched immigrants-ships from the age of mass migration. Individuals exogenously travelling with (previously unrelated) higher quality shipmates end up being employed in higher quality jobs at destination. Several findings suggest that shipmates provide access and/or information about employment opportunities. Firstly, immigrants' sector of employment and place of residence are affected by those of their shipmates' contacts. Secondly, the baseline effects are stronger for individuals travelling alone and with fewer connections at destination. Thirdly, immigrants are affected more strongly by shipmates who share their language. These findings underline the sizeable effects of even brief social connections, provided that they occur during critical life junctures

Is distance dead? Face-to-face communication and productivity in teams

Has technology made face-to-face communication redundant? We investigate using a natural experiment in an organisation where a worker must communicate complex electronic information to a colleague. Productivity is higher when the teammates are (exogenously) in the same room and, inside the room, when their desks are closer together. We establish face-to-face communication as the main mechanism, and rule out alternative channels such as higher effort by co-located workers. The effect is stronger for urgent and complex tasks, for homogeneous workers, and for high pressure conditions.We highlight the opportunity costs of face-to-face communication and their dependence on organisational slack

Immigration and the access to social housing in the UK

This paper investigates the impact of immigration on the probability of being in social housing in the UK. In recent years immigrant households are slightly more likely than natives to be in social housing but once one controls for relevant household characteristics immigrants are significantly less likely to be in social housing than natives. However, there has been change over time – the immigrant penalty has fallen over time probably because of changes in allocation rules. Overall we find that the rising number of immigrants and the change in the allocation rules can explain about one-third of the fall in the probability of being in social housing with two-thirds being the result of the fall in the social housing stock

Income and beyond: Multidimensional poverty in six Latin American countries

This paper presents empirical results of a wide range of multidimensional poverty measures for: Argentina, Brazil, Chile, El Salvador, Mexico and Uruguay, for the period 1992–2006. Six dimensions are analysed: income, child attendance at school, education of the household head, sanitation, water and shelter. Over the study period, El Salvador, Brazil, Mexico and Chile experienced significant reductions of multidimensional poverty. In contrast, in urban Uruguay there was a small reduction in multidimensional poverty, while in urban Argentina the estimates did not change significantly. El Salvador, Brazil and Mexico together with rural areas of Chile display significantly higher and more simultaneous deprivations than urban areas of Argentina, Chile and Uruguay. In all countries, access to proper sanitation and education of the household head are the highest contributors to overall multidimensional poverty.Multidimensional poverty measurement, counting approach, Latin America, Unsatisfied Basic Needs, rural and urban areas.