Matteo Maggiori, The Moghadam Family Professor and Professor of Finance is recruiting two pre-doctoral research fellows to be part of the Global Capital Allocation Project (GCAP) Lab. A substantial component of the work focuses on big-data applications in international macroeconomics and finance. The GCAP Lab mixes data, economic theory, and analytics to understand how capital moves around the world with the aim of improving international economic policy. Current projects include, for example: (i) mapping how global firms finance themselves through foreign subsidiaries, often shell companies in tax havens; (ii) understanding China’s rising presence in global financial markets; and (iii) understanding how capital is allocated in emerging economies.
Results from the research are of policy relevance and of interests to general media (such as The Economist or Wall Street Journal). While the research fellows’ focus is on learning and producing academic research, the fellows also have the opportunity to interface with policy institutions, and to produce publicly available statistics and graphical interfaces that help communicate the research to the broader public.
The research fellows will be dedicated to Professors Maggiori and Coppola but will also work closely and directly with all members of the lab, including other lab co-directors such as Jesse Schreger at Columbia Business School, co-authors on academic papers, PhD students, and other research assistants. This is a vibrant community with plenty of interaction and the expectation of working collaboratively in smaller groups and then present research progress to the broader group.
Results from the research are of policy relevance and of interest to general media, such The Economist or Wall Street Journal, and in addition to pure academic research you will be also involved in producing publicly available statistics and research summaries that help communicate the research to the broader public.
Requirements
A bachelor’s degree or its equivalent, a strong quantitative background, excellent computer programming skills, and a serious interest in pursuing research in economics. A background in economics is helpful but not necessary. Previous research experience is a plus.
