Econometrics and Data Science
Econometrics and Data Science
The Econometrics and Data Science Research Group covers a wide number of topics within the areas of modern econometric theory and applications, as well as data science in economics. On the econometrics side, the group’s research interests include: the econometrics of networks, panel data econometrics, identification and semiparametric econometrics, macroeconometrics and financial econometrics. On the data science side, the group is interested in, among other topics, machine learning, artificial intelligence, high-dimensional econometrics and text analysis. Such research is often motivated and applied to problems in other fields, including those in industrial organisation, labour economics, political economy, macroeconomics and finance.
The group organises an Econometric seminar that takes place every two weeks on Mondays at 2pm. The group also participates in the CAGE seminar in applied economics, which runs every two weeks on Tuesdays at 2pm, and engages with other seminars in the Department. Students and faculty of the group present their work in progress in two brown bag seminars which run weekly on Tuesdays and Wednesdays at 1pm. The group also co-organises annual workshops, including the Econometrics Workshop, which is a one-day event coupled with an econometrics masterclass.
Our activities
Econometrics Seminar
Monday afternoons
For faculty and PhD students at Warwick and other top-level academic institutions across the world. For a detailed scheduled of speakers please see our upcoming events.
Organisers: Kenichi Nagasawa and Ao Wang
Work in Progress Seminars
Tuesdays and Wednesdays: 1.00-2.00pm
Students and Faculty of the group present their work in progress in two brown bag seminars. For a detailed scheduled of speakers see our upcoming events.
Organiser: Chris Roth
People
Academics
Academics associated with the Reseach Group Name research group are:
Events
Applied Economics, Econometrics & Public Policy (CAGE) Seminar - Daniele Paserman (BU)
Title: Female Labor Force Participation and Intergenerational Mobility (with Jorgen Modalsli, Claudia Olivetti and Laura Salisbury)
Abstract: Women's labor force participation increased dramatically over the post-WWII, especially among mothers of young children. How did the entry of mothers in to the labor force impact the transmission of economic status across generations? Using Norwegian registry data we document trends in mothers' labor force participation and intergenerational mobility across cohorts born between 1965 and 1995. The labor supply of mothers almost quadrupled across cohorts. At the same time, the father-child income elasticity declined substantially. At the individual level, the relationship between son's income and father's income is weaker in families in which the mother worked when the son was a young child.
Using a simple covariance decomposition, we show that 25-33\% of the decline in the intergenerational elasticity (IGE) can be explained by the fact the IGE is lower among families in which the mother works, and such families consitute a larger share of the population over time. Structural factors (e.g. changes in economic opportunity or the education system) can explain the rest of the decline. We then develop a statistical framework that illustrates mechanisms through which mothers' work affects the IGE. Mothers' entry into the paid workforce represents a shift from time-intensive to money-intensive investments in children's human capital. The effect on the IGE depends on sorting in the marriage market, the relative importance of time and money inputs in the production of children's human capital, and income and substitution effects on mother's labor supply. The observed trends can be reconciled with our model if women's productivity in childcare is more valued on the marriage market than their labor market productivity, and if money investments have a larger effect on children's human capital than time investments.