Courses a.y. 2022/2023
30284 EMPIRICAL METHODS FOR ECONOMICS (INTRODUCTION TO ECONOMETRICS)
40271 ECONOMETRICS 2 (MICROECONOMETRICS)
Since her joining Bocconi, Pamela Giustinelli has been teaching a number of courses in econometrics and empirical methods at the undergraduate, graduate, and PhD levels.
Currently, Pamela teaches Empirical Methods for Economics (Introduction to Econometrics) in the Bocconi’s BIEF undergraduate program, Econometrics for Big Data in the Bocconi’s DS&BA graduate program, and Microeconometrics in the Bocconi’s Ph.D. program in Economics & Finance.
I am an assistant professor in the Department of Economics at Bocconi, my research and teaching home since 2017. I hold affiliations to Bocconi's IGIER and LEAP, University of Michigan’s Survey Research Center, University of Oslo’s Department of Economics, University of Essex’s ESRC-MiSoC (Network on Preferences and Expectations), and University of Chicago’s HCEO Working Group (Family Inequality).
I received a PhD in Economics from Northwestern University, a MSc in Economics from Bocconi, and a BA in Economics and Business from the University of Verona.
Here are some new areas and projects on which I have been working with different sets of coauthors:
Risk perceptions and compliance behavior with respect to the Covid-19: measures in the UK and Italy
For Better or Worse? Subjective Expectations and Cost-Benefit Trade-Offs in Health Behavior: An application to lockdown compliance in the United Kingdom, with Gabriella Conti (UCL)
How Malleable Are COVID-19 Related Perceptions? Evidence from a light-touch information-&-sensitization intervention, with Gabriella Conti (UCL) and Martina Rovetto (Warwick)
Cross-disciplinary civics and climate change education in Italian secondary schools
Classes: Climate Literacy, Attitudes, and Secondary Schooling, with Stefano Carattini (GSU) and Marcella Veronesi (UVerona and DTU)
CFOs’ expectations and firm performance
Inconsistent CFOs, with Stefano Rossi (Bocconi)
I am an applied econometrician, with a deep interest in uncertainty, heterogeneity, and measurement. Under these unifying themes, I have been investigating a diverse range of microeconomic behaviors within the broad area of human capital, including high school track choice by Italian families, work-retirement plans of older US workers, occupation sector among the college-educated in Mozambique, long-term care insurance of aging Americans, compliance to the COVID-19 lockdown rules in the UK.
I design new measurements to advance understanding of microeconomic behavior, especially individual and household decision-making with uncertain consequences or limited information. The leading example is survey elicitation of probabilistic subjective expectations, which are equally important inputs in real-world behavior and microeconometric models of intertemporal choice and choice under uncertainty.
A strand of my research investigates how individuals think about uncertainty in important real-life domains and how they communicate perceived uncertainty in economic surveys of expectations. It also studies certain measurement properties of survey expectations and how these affect inference