Fabrizia Mealli
Biographic Data
| ID | 366346 |
|---|---|
| NAME | Fabrizia Mealli |
| GIVEN NAMES | Fabrizia |
| FAMILY NAME | Mealli |
| SIGNATURE | MEALLI F |
| AFFILIATIONS | University of Florence |
| ORCID | 0000-0002-1076-9249 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 15 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1996 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Estimating Causal Effects of Multi-Valued Treatments Accounting for Network Interference: Immigration Policies and Crime Rates
Policy evaluation studies, which assess the effect of an intervention, face statistical challenges: in real-world settings treatments are not randomly assigned and the analysis might be complicated by the presence of interference among units. Researchers have started to develop methods that allow to manage spillovers in observational studies; recent works focus primarily on binary treatments. However, many studies deal with more complex intervent…
Exploring Encouragement, Treatment, and Spillover Effects Using Principal Stratification, With Application to a Field Experiment on Teens’ Museum Attendance
This article revisits results from a field experiment, conducted in Florence, Italy, to study the effects of incentives provided to high school teens to motivate them to visit art museums. In the experiment, different classes of students were randomized to three types of encouragement and were offered a free visit to a main museum in the city. Using the principal stratification framework, the article explores causal pathways that may lead student…
What kinds of R&D consortia enhance SMEs productivity? A hierarchical Bayesian approach for the analysis of a regional innovation policy
Household vulnerability and child labor: The effect of shocks, credit rationing, and insurance
From temporary help jobs to permanent employment: What can we learn from matching estimators and their sensitivity?
The diffusion of temporary work agency (TWA) jobs has led to a harsh policy debate and ambiguous empirical evidence. Results for the USA, based on quasi‐experimental evidence, suggest that a TWA assignment decreases the probability of finding a stable job, while results for Europe, based on the conditional independence assumption (CIA), typically reach opposite conclusions. Using data for two Italian regions, we rely on a matching estimator to sh…
An Econometric Model of Farm Tenures in Fifteenth‐Century Florence
We estimate a discrete‐choice model of farm tenures in fifteenth‐century Florence, using data in the form of an unbalanced panel, with individual farms nested within landlords’ total property holdings. The probabilities of wage, rental and sharecropping tenures are estimated, allowing for landlord‐specific random effects. Specification tests are used to validate the model. Our results emphasize the role of long‐lived fixed assets (vines), vulnera…
Training Duration and Post-Training Outcomes: A Duration-Limited Competing Risks Model
Journal Article Training Duration and Post-Training Outcomes: A Duration-Limited Competing Risks Model Get access Fabrizia Mealli, Fabrizia Mealli Leicester University and University of Florence Search for other works by this author on: Oxford Academic Google Scholar Stephen Pudney, Stephen Pudney Leicester University Search for other works by this author on: Oxford Academic Google Scholar Jonathan Thomas Jonathan Thomas University College, Londo…
Household vulnerability and child labor: The effect of shocks, credit rationing, and insurance
An Econometric Model of Farm Tenures in Fifteenth‐Century Florence
We estimate a discrete‐choice model of farm tenures in fifteenth‐century Florence, using data in the form of an unbalanced panel, with individual farms nested within landlords’ total property holdings. The probabilities of wage, rental and sharecropping tenures are estimated, allowing for landlord‐specific random effects. Specification tests are used to validate the model. Our results emphasize the role of long‐lived fixed assets (vines), vulnera…
Training Duration and Post-Training Outcomes: A Duration-Limited Competing Risks Model
Journal Article Training Duration and Post-Training Outcomes: A Duration-Limited Competing Risks Model Get access Fabrizia Mealli, Fabrizia Mealli Leicester University and University of Florence Search for other works by this author on: Oxford Academic Google Scholar Stephen Pudney, Stephen Pudney Leicester University Search for other works by this author on: Oxford Academic Google Scholar Jonathan Thomas Jonathan Thomas University College, Londo…
An Econometric Model of Farm Tenures in Fifteenth‐Century Florence
We estimate a discrete‐choice model of farm tenures in fifteenth‐century Florence, using data in the form of an unbalanced panel, with individual farms nested within landlords’ total property holdings. The probabilities of wage, rental and sharecropping tenures are estimated, allowing for landlord‐specific random effects. Specification tests are used to validate the model. Our results emphasize the role of long‐lived fixed assets (vines), vulnera…
From temporary help jobs to permanent employment: What can we learn from matching estimators and their sensitivity?
The diffusion of temporary work agency (TWA) jobs has led to a harsh policy debate and ambiguous empirical evidence. Results for the USA, based on quasi‐experimental evidence, suggest that a TWA assignment decreases the probability of finding a stable job, while results for Europe, based on the conditional independence assumption (CIA), typically reach opposite conclusions. Using data for two Italian regions, we rely on a matching estimator to sh…
Household vulnerability and child labor: The effect of shocks, credit rationing, and insurance
What kinds of R&D consortia enhance SMEs productivity? A hierarchical Bayesian approach for the analysis of a regional innovation policy
Exploring Encouragement, Treatment, and Spillover Effects Using Principal Stratification, With Application to a Field Experiment on Teens’ Museum Attendance
This article revisits results from a field experiment, conducted in Florence, Italy, to study the effects of incentives provided to high school teens to motivate them to visit art museums. In the experiment, different classes of students were randomized to three types of encouragement and were offered a free visit to a main museum in the city. Using the principal stratification framework, the article explores causal pathways that may lead student…
Estimating Causal Effects of Multi-Valued Treatments Accounting for Network Interference: Immigration Policies and Crime Rates
Policy evaluation studies, which assess the effect of an intervention, face statistical challenges: in real-world settings treatments are not randomly assigned and the analysis might be complicated by the presence of interference among units. Researchers have started to develop methods that allow to manage spillovers in observational studies; recent works focus primarily on binary treatments. However, many studies deal with more complex intervent…
Economics (7 works) · Econometrics (5 works) · Computer Science (4 works) · Mathematics (3 works) · Political science (3 works) · Statistics (3 works) · Advanced Causal Inference Techniques (2 works) · Causal inference (2 works) · Economic growth (2 works) · Economic Policies and Impacts (2 works)