Objective
Human beings accumulate two types of capital: human –knowing what- and social –knowing who. In this project, I aim to understand how these types of capital affect the organization of firms and economies, with the goal of providing insights into the determinants of productivity and governance. This multidisciplinary project, composed of three sections, will provide insights to businesses and policy makers to enhance growth in the knowledge economy. In the first section, I use data from the US lobbying industry to deepen our understanding of social capital and its dynamics. Using the relational contracting literature as a theoretical framework, I will quantify the importance of lobbyist-client relationships by exploiting exogenous switches to the lobbyist’s social capital. The section aims to inform the policy debate on how to reduce political corruption and improve the quality of regulation in advocacy services. In the second section, I study the effects of human capital differences emerging from specialization across fields. I present a theoretical model where employees might face tasks they cannot solve. The firm has to optimally design a rule to help them choose between passing these problems to managers in their division or to employees in other divisions. I test the theory using Mexican consulting firms’ data, which contain detailed information on frequency and types of interactions for all workers. The section aims to guide firms on how structure their divisions to increase productivity and operational efficiency. In a similar vein, the third section explores the effects of specialization across clients. Using data from a Colombian security services firm, I will use client-fixed effects estimations to study whether client-specific skills are more important than other skills for the performance of security guards. The goal is to provide guidance to increase the efficiency of the work load as well as the optimal allocation from workers to clients.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences sociology governance
- social sciences sociology social issues corruption
- social sciences economics and business economics production economics productivity
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2017
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
08002 Barcelona
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.