Working papers

Between 1950 and 1992, Italy implemented one of the largest regional development programs in history to foster industrialization in its Southern regions. Exploiting three distinct identification strategies, I estimate that the big push substantially increased local economic activity, with gains persisting up to 2011. At the same time, the program shifted production across regions, limiting labor reallocation from the lagging South to the industrialized Center-North. To account for crowding-out effects, I develop a multi-region growth model with public capital and factor mobility, allowing for increasing returns to scale through regional agglomeration economies. Calibrating the model to match my reduced-form estimates, I find that, despite large crowding-out effects, the program induced gains in national industrial production that outweighed its costs. However, more than 80% of the South vs. Center-North convergence in manufacturing labor productivity observed between 1951 and 2011 would have occurred even without the program through larger migration flows. Together, these results document that big push programs can promote cost-effective structural change in distressed regions, but general equilibrium effects substantially mitigate their impact on aggregate output and regional convergence.

Co-Author: G. Gitti

We estimate the slope of the Phillips curve before, during, and after COVID. To do so, we exploit cross-sectional variation in inflation and unemployment dynamics across US metropolitan areas, using a shift-share instrument to isolate demand-driven fluctuations in local unemployment rates. We specify a two-region New-Keynesian model to derive the slope of the aggregate Phillips curve from our estimates at the metropolitan statistical area (MSA) level. We find that the slope of the Phillips curve dropped to zero during the pandemic and more than tripled, relative to the pre-COVID era, from March 2021 onward, reaching its highest level since the mid-1970s. These estimates allow us to quantify the extent to which US post-pandemic inflation is propelled by demand factors. Demand-driven economic recovery explains around 1.4 out of the 5.6 percentage-point increase in all-items inflation observed from March 2021 to September 2022. Had the slope of the Phillips curve not steepened after COVID, the demand contribution to the rise in inflation would have been small and statistically insignificant.

Co-Authors: F. Filippucci and S. Valle

Fiscal consolidation often entails balanced budget requirements (BBRs) for local governments. However, little is known about the effects of BBRs on economic activity, as most quasi-experimental estimates of local fiscal multipliers stem from windfall expansionary shocks. This paper studies the 2013 extension of a BBR to Italian municipalities below 5,000 residents. Tighter rules pushed local governments to increase their net budget surplus by 0.6%-1% of local income. Treated municipalities cut capital expenditures, rather than decreasing current expenditures or raising taxes. The estimated multiplier is not statistically different from zero and significantly lower than 1.5, the prevailing estimate in the literature.

Work In Progress

Co-Authors: F. Filippucci, P. Garibaldi, and G. Mastrobuoni, E. Turri

For almost 20 years, an exceptionally generous early retirement scheme allowed Italian mothers in the public sector to retire after only 15 years of work. We show that, for women in treated cohorts, the scheme caused an increase of 9 percentage points in the probability of retiring before 40 years old and a 15 percentage point increase in the probability of retiring before 45. We study how this impacted women's life-cycle outcomes: labor market participation, fertility, kids' education, and life expectancy. Finally, we investigate the general equilibrium effects of this large and gender-biased shock on selection into the public vs. private sectors and talent misallocation. 

Co-Author: G. Gitti

To what extent are demand shocks inflationary? The discipline has still not reached a consensus, while the question has regained particular importance in recent times as economists debate over the potential inflationary consequences of fiscal stimulus programs implemented to encourage economic recovery. In this paper, we use exogenous variations induced by local booms due to hydraulic fracturing adoption in the U.S. oil and gas extraction industry to estimate the slope of the US regional Phillips curve. Specifically, we adopt an event study approach: we exploit cross-sectional variations in land suitability for fracking to define the treatment and control groups and timing variation of fracking adoption to define the event. We estimate the slope of the regional Phillips curve to be 0.6. We construct a multi-region, multi-sectoral New Keynesian model to relate the slope of the regional structural equation to its aggregate counterpart.