1 resultado para academically qualified
em Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom
Filtro por publicador
- Aberdeen University (1)
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- Biblioteca de Teses e Dissertações da USP (7)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (3)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (14)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (19)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (1)
- Blue Tiger Commons - Lincoln University - USA (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (31)
- Brock University, Canada (16)
- Bucknell University Digital Commons - Pensilvania - USA (3)
- CentAUR: Central Archive University of Reading - UK (21)
- Central European University - Research Support Scheme (1)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (1)
- Clark Digital Commons--knowledge; creativity; research; and innovation of Clark University (1)
- Cochin University of Science & Technology (CUSAT), India (1)
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- Fachlicher Dokumentenserver Paedagogik/Erziehungswissenschaften (1)
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- Institute of Public Health in Ireland, Ireland (3)
- Instituto Politécnico de Santarém (1)
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- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (29)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (3)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
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- Repositório de Administração Pública (REPAP) - Direção-Geral da Qualificação dos Trabalhadores em Funções Públicas (INA), Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (45)
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- Repositório Institucional da Universidade Estadual de São Paulo - UNESP (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (142)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (11)
- Scielo Saúde Pública - SP (26)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (1)
- South Carolina State Documents Depository (4)
- Universidad de Alicante (4)
- Universidad del Rosario, Colombia (28)
- Universidad Politécnica de Madrid (24)
- Universidade do Minho (13)
- Universidade dos Açores - Portugal (3)
- Universidade Federal do Pará (17)
- Universidade Federal do Rio Grande do Norte (UFRN) (31)
- Universidade Metodista de São Paulo (12)
- Universita di Parma (1)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Lausanne, Switzerland (43)
- Université de Montréal, Canada (38)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (5)
- University of Michigan (27)
- University of Queensland eSpace - Australia (7)
- University of Southampton, United Kingdom (2)
Resumo:
The project aims to achieve two objectives. First, we are analysing the labour market implications of the assumption that firms cannot pay similarly qualified employees differently according to when they joined the firm. For example, if the general situation for workers improves, a firm that seeks to hire new workers may feel it has to pay more to new hires. However, if the firm must pay the same wage to new hires and incumbents due to equal treatment, it would either have to raise the wage of the incumbents, or offer new workers a lower wage than the firm would do otherwise. This is very different from the standard assumption in economic analysis that firms are free to treat newly hired workers independently of existing hires. Second, we will use detailed data on individual wages to try to gauge whether (and to what extent) equity is a feature of actual labour markets. To investigate this, we are using two matched employer-employee panel datasets, one from Portugal and the other from Brazil. These unique datasets provide objective records on millions of workers and their firms over a long period of time, so that we can identify which firms employ which workers at each time. The datasets also include a large number of firm and worker variables.