Publications

Giordano V, "Gross Metropolitan Product and Okun's Law in Urban Cores," Social Science Research Network (Working Paper) (2025). 

This paper investigates the behavior of Okun's Law in the United States' three largest metropolitan regions: New York City, Los Angeles, and Chicago. Two separate autoregressive distributed lagged (ARDL) model forms are tested to incorporate delayed impacts of prior real output growth and unemployment rate changes on oscillations in current unemployment rates. The first model comprises a simple ARDL model with first-order lags, while the second model incorporates two additional binary indicators for both quarterly recessions and post-coronavirus quarterly recovery periods. This paper finds that the impacts are significantly more pronounced in the three urban cores studied than for the United States as a whole, although the presence of the additional binary indicators modestly lowers the estimates. Dynamics such as more heterogeneous workforces and greater sensitivity to output shifts are attributed as important causes of these higher estimates, as well as the impact that density may have on worker turnover that contributes to more volatile labor markets.

Giordano V, Rigatti T, & Shaikh A, "Spatial Health Predictors for Depressive Disorder in Manhattan: A 2020 Analysis," Cureus Journal of Medical Science (2023). 

This study employs a spatial regression and autocorrelation analysis to determine the geographic relationship between clinical depression and predictive factors such as obesity, alcohol abuse, and sleep insufficiency. It makes uses of 2020 PLACES data from the Centers for Disease Control (CDC) for the New York City borough of Manhattan. It was found that significant clusters of depression concentrated in Upper Manhattan's majority non-white neighborhoods such as Harlem and Inwood, while depression in majority white neighborhoods in Lower Manhattan such Wall Street and Midtown were less prevalent. Furthermore, the lack of health insurance access was a stronger predictor of clinical depression in Upper Manhattan's majority non-white neighborhoods than in Lower Manhattan's majority white locales.

Rubinshteyn V, Giordano V, Cohen D, LeBaron J, Menon S, & Demaree C, "Multinomial Estimations of Predictive Risk Factors for Traumatic Brain Injuries," Cureus Journal of Medical Science (2023). 

This study analyzes aggravating risk factors for various TBIs in the New York City borough of Staten Island via a multinomial logistic regression. Data on eight predictive risk variables were collected at a level 1 trauma center from January 1, 2022, to December 31, 2022: mode of injury (MOI), seizure history, anticoagulant/antiplatelet therapy, alcoholism, age, biological sex, tested alcohol level, and body mass index (BMI). It was found that blood thinner use and sex were both significant predictors of various types of TBIs. Additionally, those not tested for alcohol, including pediatric patients, were less likely to suffer most forms of TBI, while BMI had a negligible relationship with any TBI class.

Jung G, Giordano V, Jung L, & Harrington T, "Urban Traumatic Moving Injuries Before and During SARS-CoV-2: A Multilinear Regression Analysis," Cureus Journal of Medical Science (2023).

This study aims to predict changes in the length of stay (LOS) for patients sustaining traumatic transportation-related injuries before and during the coronavirus pandemic by way of a multivariate cross-sectional regression model. In both periods, the Glasgow coma scores (GCS), intensive care unit (ICU) LOS, injury severity scores (ISS), and admitting service had significant impacts on hospital duration. Higher GCS scores increased the hospital LOS by 0.811 days in 2019 and 0.587 days in 2020. An additional ISS point resulted in an increase in LOS by 0.207 days in 2019 and 0.124 days in 2020. Admission to the ICU increased LOS by 0.82 days in 2019 and 1.25 days in 2020. Admission to Trauma Services increased LOS by 2.111 days in 2019 and 1.379 days in 2020. Average LOS dropped from 3.09 to 2.50 days between both periods.