O próximo ISEG Research Seminar tem lugar no dia 30 de outubro, e conta com a participação de Monica Costa-Dias, que irá apresentar o artigo “Higher Education Sorting and Social Mobility“.
A sessão decorre das 13h00 às 14h00, no Anfiteatro 3 (Edifício Quelhas, piso 4).
Entrada livre.
Abstract:
Education is a main facilitator of social mobility, and higher education (HE) plays a major role in this. But while returns to HE are large, they also vary widely with the characteristics of programmes, students and how they align. This paper investigates the role of HE sorting to explain heterogeneity in returns. Using rich administrative data for England, we document that students from disadvantaged backgrounds are less likely to enrol in HE than equally skilled higher SES peers, particularly in the most selective programmes, and that low SES is associated with lower wages conditional on education and skills. To investigate the drivers of these gaps, we develop a life-cycle model of education, labour supply and earnings that allows for a rich characterisation of heterogeneity in the skills that students have and that different educational programmes provide. A key feature of our model is that students and programmes meet in a matching market in equilibrium, where sorting is determined. Exploiting geographical and cohort size variation, we can separate the preferences of students and programmes and identify the returns to heterogeneous programmes. Our model reproduces empirical patterns accurately. Using our model, we find that students from poorer backgrounds benefit more from investing in HE than better off students, but benefit less from enrolling in more selective programmes. We also find that low SES students are less willing to pay for a match that promises higher future earnings. However, students’ preferences cannot fully explain differences in HE sorting by SES. Rather, systematic differences in skills and admission rules that favour better off students also play a role. Counterfactual analysis of HE policies shows that demand side policies subsidising tuition fees or incentivising investments in STEM are insufficient to move the needle on social mobility; supply side policies could potentially be highly effective.
No próximo dia 23 de outubro, das 18h30 às 20h00, o Auditório 2 do ISEG receberá uma talk intitulada “A Sustentabilidade é uma Vantagem Competitiva das Empresas”, com a participação de Filipa Pantaleão, Secretária-Geral do BCSD Portugal, e da Prof. Sandra Oliveira. O evento está integrado no ciclo de seminários do Mestrado em Marketing e faz parte das atividades da ISEG Sustainable Week’24.
Esta é uma oportunidade única para estudantes e profissionais interessados em explorar como a sustentabilidade pode ser um diferencial competitivo para as empresas, enriquecendo as suas estratégias e práticas de mercado.
Inscrições abertas neste LINK.
No próximo dia 24 de outubro, das 18h00 às 19h00, decorrerá no ISEG a conferência “Economia da Saúde: desafios, financiamento e futuro“. Esta é a primeira iniciativa do Conselho Estratégico da Economia da Saúde da ISEG Alumni Económicas.
O painel contará com a presença de Rui Leão Martinho, Carlos Cruz e Fernando Ribeiro Mendes, com moderação a cargo de João Duque.
A conferência terá lugar no Auditório 2 do ISEG e as inscrições, limitadas, estão abertas até ao dia 22 de outubro, mediante preenchimento deste formulário.
O parque de estacionamento do ISEG está disponível para os participantes na sessão (condicionado à existência de lugares vagos).
O próximo ISEG Research Seminar ocorrerá no dia 16 de outubro, e conta com a participação de Paulo Barbosa, que irá apresentar o artigo “Export Promotion with Matchmaking and Grants: Evidence from Portuguese Firms“.
A sessão decorre das 13h00 às 14h00, no Anfiteatro 3 (Edifício Quelhas, piso 4).
Entrada livre.
Abstract:
This paper estimates the impact on firms’ foreign sales of goods of two key policies implemented by export promotion agencies (EPAs): matchmaking in international markets and financial grants for internationalization. We integrate Portuguese detailed firm-level data on exports of goods, balance sheets, and income statements, as well as information on the activity of the EPA between 2012 and 2021. The empirical exercise estimates the causal effect of these policies using a staggered difference-in-difference estimator. We conclude that the support provided to Portuguese firms with the aim of increasing exports significantly and positively affected their exports of goods. More specifically, financial grants for internationalization led to a significant increase in firms’ total exports, with a greater effect on micro and small firms and in the sectors of “Wholesale of household goods” and “Manufacture of wearing apparel”. Similarly, matchmaking activities led to a significant increase in exports. In France, the country for which Portuguese companies request the most matching support, the effect is greater for micro and small firms and in the sector of “manufacturing of other textiles”.
A Biblioteca do ISEG e o ADVANCE – Centro de Investigação Avançada em Gestão do ISEG convidam-no/a a participar no seminário SLR e Análise Bibliométrica com VosViewer, no dia 18 de outubro, das 11h30 às 13h00.
A sessão será apresentada por Paulo Garcia Gomes, aluno do Programa de Doutoramento em Gestão do ISEG, e realiza-se em formato híbrido.
Programa:
O seminário terá lugar no ISEG (Sala Santander), e pode ser também acompanhado online, através deste acesso ao Teams.
O acesso é aberto a todas as pessoas que queiram participar.
O próximo ISEG Research Seminar tem lugar no dia 9 de outubro, e conta com a participação de Andreas Pick, da Universidade de Roterdão, que irá apresentar o artigo “Forecasting with panel data: Estimation uncertainty versus parameter heterogeneity“.
A sessão decorre das 13h00 às 14h00, no Anfiteatro 3 (Edifício Quelhas, piso 4).
Entrada livre.
Abstract:
We provide a comprehensive examination of the predictive accuracy of panel forecasting methods based on individual, pooling, fixed effects, and Bayesian estimation, and propose optimal weights for forecast combination schemes. We consider linear panel data models, allowing for weakly exogenous regressors and correlated heterogeneity. We quantify the gains from exploiting panel data and demonstrate how forecasting performance depends on the degree of parameter heterogeneity, whether such heterogeneity is correlated with the regressors, the goodness of fit of the model, and the cross-sectional (N) and time (T) dimensions. Monte Carlo simulations and empirical applications to house prices and CPI inflation show that forecast combination and Bayesian forecasting methods perform best overall and rarely produce the least accurate forecasts for individual series.
No dia 1 de outubro, não perca o seminário “Video & Performance no E-commerce. O videocommerce converte!“, organizado no âmbito do Mestrado em Marketing do ISEG.
O tema será apresentado por Teresa Moreira, Marketing Technologist & Trendologist na Onlive.Site Portugal, e João Pico, CEO na Comprimido.
O seminário decorre das 10h00 às 12h00, no Auditório 2.
Entrada gratuita, sujeita a pré-inscrição neste LINK.
A 5th International Conference in Human Resource Management terá lugar no ISEG, nos dias 27 e 28 de fevereiro de 2025, e teve a recente confirmação do Professor Jason Bennett Thatcher, da Leeds School of Business at the University of Colorado-Boulder, como Opening Keynote Speaker.
Esta edição do encontro conta também com a colaboração com a revista Management Review Quarterly, que irá promover trabalhos através da oportunidade de publicação no seu Special Issue: Human Resource Management and Artificial Intelligence to elevate work.
Investigadores nas áreas de Gestão de Recursos Humanos e campos relacionados, estudantes de mestrado e doutoramento, bem como profissionais interessados nestes tópicos de investigação, podem submeter os seus contributos até dia 17 de novembro de 2024, através do email submissions@advance.iseg.ulisboa.pt.
Mais informações em: https://www.iseg.ulisboa.pt/advance/hrm_2025/
O próximo seminário ISEG Research conta com a participação de Derick Almeida, da Universidade de Coimbra, que apresentará o artigo intitulado “Fertility choices, Demographics and Automation“.
A sessão tem lugar no dia 2 de outubro, das 13h00 às 14h00, no Anfiteatro 3 (Edifício Quelhas, piso 4).
Entrada livre.
Abstract:
In this paper we study a theoretical link between the effects of increased automation on labor markets, and the fertility decisions of a representative household that is replaced by robots in the production of tasks. We develop a framework in which children provide utility and impose an opportunity cost to the household due to lost labor income. We show that fertility rate changes are the result of an optimal response to wage variations after the economy is hit by a shock that increases the design quality of robots used in production. Using this model, we characterize an initial equilibrium and simulate the effect of a 10% increase in robot productivity on important endogenous variables, including wages, and find that, in the absence of fixed costs to raising children, the fertility rate increases by approximately 3.4%.
O 3º seminário ISEG Research do ano letivo de 2024-25 contará com a presença de Tobias Klein, professor da Tilberg University, que apresentará o artigo intitulado “Learning from Online Ratings“.
A sessão tem lugar no dia 25 de setembro, das 13h00 às 14h00, no Anfiteatro 3 (Edifício Quelhas, piso 4).
Entrada livre.
Abstract:
Online ratings play an important role in many markets. However, how fast they can reveal seller types remains unclear. To study this question, we propose a new model in which a buyer learns about the seller’s type from previous ratings and her own experience and rates the seller if she learns enough. We derive two testable implications and verify them using administrative data from eBay. We also show that alternative explanations are unlikely to explain the observed patterns. After having validated the model in that way, we calibrate it to eBay data to quantify the speed of learning. We find that ratings can be very informative. After 25 transactions, the likelihood of correctly predicting the seller type is above 95 percent.