XXXV Congreso Internacional ASEPELT

29 de xuño ó 2 de xullo de 2022

Organiza: Departamento de Economía Aplicada, Pública e Política. Facultade de Estudios Estatísticos - Universidad Complutense de Madrid

Datas relevantes:
  • Prazo de envío de resumos: ata o 15 de marzo de 2022
  • Notificación de aceptación: 20 de marzo de 2022

Máis información: https://www.congresoasepelt.com/

Call for papers


Seminario de Investigación ECOBAS: Tiago Tavares – ITAM (México)

RESUMO:

Using new census-type data and a dynamic structural model, we study the effect of credit supply on investment by manufacturing firms during the Greek depression. Real factors (profitability, uncertainty, and taxes) account for only a fraction of the substantial drop in investment observed in the data. The reduction in credit supply has significant real effects, explaining 11–32% of the investment slump. We also find that exporting firms, which reduce investment and deleverage despite their improved profitability during the crisis, face a contraction in credit supply similar to that of non-exporters, suggesting that the credit-supply shock has a significant common component.

Máis información sobre o relator

Funcas. 'Oportunidades y desafíos de la economía española tras la pandemia'

18:30 h PRESENTACIÓN

  • Carlos Ocaña, Director General de Funcas

APERTURA

  • Nadia Calviño, Vicepresidenta primera del Gobierno y Ministra de Asuntos Económicos y Transformación Digital

19:00 h MESA REDONDA A PROPÓSITO DEL LIBRO LABERINTOS DE LA PROSPERIDAD

  • Xosé Carlos AriasCatedrático de Economía Aplicada de la Universidad de Vigo
  • Antón Costas, Presidente del Consejo Económico y Social

Moderador

  • Eduardo BandrésFuncas y Universidad de Zaragoza

JRC B2 Seminar. 'Using Capital income to Proxy Family Background: An application to inequality of opportunity', Hugo del Valle-Inclán (JRC-Sevilla)

The measurement of opportunity inequality has attracted increasing attention in recent years, despite the fact that its empirical application suffers from stringent data limitations. In this paper we address one of these problems: the scarcity of data on family background. We propose to use a widely available variable as alternative proxy of socioeconomic origin, instead of the traditional and sparse proxies commonly employed. This alternative proxy is capital income. Using data of 31 European countries we first successfully test the accuracy of our approach, and then we apply it to obtain many new inequality of opportunity estimates. These results are useful for the measurement of inequality of opportunity, but also in other areas of research where we want to account for family background.


Seminario de Investigación ECOBAS: André Seidel - Universidade de Bergen (Noruega)

How much do we know about firm activities around the world? To understand global firm networks and how they operate, we need consistent information about their activities that is not biased by firm reporting choices. In this paper, we collect a novel dataset on factory land consumption and the light these factories produce at night for a large sample of car manufacturing plants to provide such data. We show that we can measure firm activity with this data, using annual firm financial data and high-frequency data related to COVID-19 pandemic production shocks. We use this data to quantify the extent of unreported and misallocated global turnover and show the asset allocation across subsidiaries of multinational firms (MNCs) that is not biased by profit shifting.