Federico Belotti

Federico Belotti
University of Rome Tor Vergata | UNIROMA2 · Department of Economics and Finance

Ph.D.

About

57
Publications
65,724
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1,874
Citations
Citations since 2017
29 Research Items
1645 Citations
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20172018201920202021202220230100200300400
20172018201920202021202220230100200300400
20172018201920202021202220230100200300400
Additional affiliations
September 2011 - November 2016
University of Rome Tor Vergata
Position
  • PostDoc Position

Publications

Publications (57)
Article
We consider the derivation of data-dependent simultaneous bandwidths for double kernel heteroscedasticity and autocorrelation consistent (DK-HAC) estimators. In addition to the usual smoothing over lagged autocovariances for classical HAC estimators, the DK-HAC estimator also applies smoothing over the time direction. We obtain the optimal bandwidt...
Article
Full-text available
Recent literature on the mental health consequences of social distancing measures has found a substantial increase in self-reported sleep disorders, anxiety and depressive symptoms during lockdown periods. We investigate this issue with data on monthly purchases of psychotropic drugs from the universe of Italian pharmacies during the first wave of...
Article
Full-text available
We investigate the impact of the Great Recession in Italy on the incidence of chronic diseases using new individual longitudinal data from Electronic Health Records. We exploit the exogenous shock in the economic conditions occurred in 2008 to estimate heterogeneous effects of an unprecedented rise in local unemployment rates in an individual fixed...
Article
Full-text available
The current epidemics of cardiovascular and metabolic noncommunicable diseases have emerged alongside dramatic modifications in lifestyle and living environments. These correspond to changes in our “modern” postwar societies globally characterized by rural-to-urban migration, modernization of agricultural practices, and transportation, climate chan...
Article
Full-text available
The aging process in OECD countries calls for a better understanding of the future disease prevalence, life expectancy (LE) and patterns of inequalities in health outcomes. In this paper we present the results obtained from several dynamic microsimulation models of the Future Elderly Model family for 12 OECD countries, with the aim of reproducing f...
Article
Several new statistical tools and analytical frameworks have been recently developed to measure countries’ and sectors’ involvement in global value chains. Such a wealth of methodologies reflects the fact that different empirical questions call for distinct accounting methods and different levels of aggregation of trade flows. In this article, we d...
Preprint
We consider the derivation of data-dependent simultaneous bandwidths for double kernel heteroskedasticity and autocorrelation consistent (DK-HAC) estimators. In addition to the usual smoothing over lagged autocovariances for classical HAC estimators, the DK-HAC estimator also applies smoothing over the time direction. We obtain the optimal bandwidt...
Article
Full-text available
We run a laboratory experiment to investigate how the size of the group affects coordination in a bank-run game played repeatedly by participants facing different fellow depositors. For comparability purposes, we keep the coordination tightness constant across different sizes. Participants exhibit an adaptive behavior, since the main drivers of the...
Article
In this article, we describe jackknife2, a new prefix command for jackknifing linear estimators. It takes full advantage of the available leave-one-out formula, thereby allowing for substantial reduction in computing time. Of special note is that jackknife2 allows the user to compute cross-validation and diagnostic measures that are currently not a...
Article
This paper investigates the effect of local property tax for businesses on firm performance by using a panel of Italian manufacturing firms. To identify this effect, we implement a pairwise spatial‐differenced estimator and exploit the exogenous variation in local property tax rates caused by the political alignment of local and central governments...
Book
Full-text available
Several new statistical tools and analytical frameworks have been developed recently to measure countries’ and sectors’ involvement in global value chains. Such wealth of methodologies reflects that different empirical questions call for distinct accounting methods, along with different levels of aggregation of trade flows. This paper is a companio...
Article
Despite its importance, the monotonicity condition is typically overlooked in stochastic frontier analysis. This article illustrates a straightforward and useful method for the estimation of semiparametric stochastic frontier models imposing such constraint and incorporating exogenous inefficiency effects exploiting the scaling property. An iterati...
Article
Full-text available
Aging is a strong risk factor for many chronic diseases. However, the impact of an aging population on the prevalence of chronic diseases and related healthcare costs are not known. We used a prevalence‐based approach that combines accurate clinical and drug prescription data from Health Search CSD‐LPD. This is a longitudinal observational data set...
Article
The English (NHS) and the Italian (SSN) healthcare systems share many similar features: basic founding principles, financing, organization, management, and size. Yet the two systems have faced diverging policy objectives since 2000, which may have affected differently healthcare sector productivity in the two countries. In order to understand how d...
Article
Spatial differencing (SD) is a spatial data transformation pioneered by Holmes (1998) increasingly used to estimate causal effects with non-experimental data. Recently, this transformation has been widely used to deal with omitted variable bias generated by local or site-specific unobservables in a 'boundary-discontinuity' design setting. However,...
Article
The classical stochastic frontier panel data models provide no mechanism to disentangle individual time invariant unobserved heterogeneity from inefficiency. Greene (2005a, b) proposed the so-called “true” fixed-effects specification that distinguishes these two latent components. However, due to the incidental parameters problem, his maximum likel...
Article
Understanding the role that drug adherence has on health outcomes in everyday clinical practice is central for the policy maker. This is particularly true when patients suffer from asymptomatic chronic conditions (e.g., hypertension, hypercholesterolaemia, and diabetes). By exploiting a unique longitudinal dataset at patient and physician level in...
Article
xsmle is a new user-written command for spatial analysis. We consider the quasi–maximum likelihood estimation of a wide set of both fixed- and random-effects spatial models for balanced panel data. xsmle allows users to handle unbalanced panels using its full compatibility with the mi suite of commands, use spatial weight matrices in the form of bo...
Article
Full-text available
In this paper we investigate the evolution of public European LTC systems in the forthcoming decades, using the Europe Future Elderly Model (EuFEM), a dynamic microsimulation model which projects the health and socio-economic characteristics of the 50+ population of ten European countries, augmented with the explicit modelling of the eligibility ru...
Article
Full-text available
Aging and excessive adiposity are both associated with an increased risk of developing multiple chronic diseases, which drive ever increasing health costs. The main aim of this study was to determine the net (non-estimated) health costs of excessive adiposity and associated age-related chronic diseases. We used a prevalence-based approach that comb...
Article
In this article, we describe twopm, a command for fitting two-part models for mixed discrete-continuous outcomes. In the two-part model, a binary choice model is fit for the probability of observing a positive-versus-zero outcome. Then, conditional on a positive outcome, an appropriate regression model is fit for the positive outcome. The twopm com...
Article
Recent literature on panel data emphasizes the importance of accounting for time-varying unobservable individual effects, which may stem from either omitted individual characteristics or macro-level shocks that affect each individual unit differently. In this paper, we propose a simple specification test of the null hypothesis that the individual e...
Article
Full-text available
This article describes sfcross and sfpanel, two new Stata commands for the estimation of cross-sectional and panel-data stochastic frontier models. sfcross extends the capabilities of the frontier command by including additional models (Greene, 2003, Journal of Productivity Analysis 19: 179–190; Wang, 2002, Journal of Productivity Analysis 18: 241–...
Article
Over the last decades spatial econometrics models have represented a common tool for measuring spillover effects across different geographical entities (counties, provinces, regions or nations). Unfortunately, no one has considered that when these entities share common borders but obey to different institutional settings, ignoring this feature may...
Code
Econometricians have begun to devote more attention to spatial interactions when carrying out applied econometric studies. We provide the new Stata command -xsmle-, which fits fixed and random-effects spatial models for balanced panel data for a wide range of specifications: Spatial Autoregressive Model (SAR), Spatial Error Model (SEM), Spatial Dur...
Article
Full-text available
This paper describes sfcross and sfpanel, two new Stata commands for the estimation of cross-sectional and panel data stochastic frontier models. sfcross extends the official frontier capabilities by including additional models (Greene 2003; Wang 2002) and command functionality, such as the possibility to manage complex survey data characteristics....
Article
In this article, we describe screening, a new Stata command for data management that can be used to examine the content of complex narrative-text variables to identify one or more user-defined keywords. The command is useful when dealing with string data contaminated with abbreviations, typos, or mistakes. A rich set of options allows a direct tran...
Code
runningprod() returns a vector of the same dimension as x containing the running product of the argument vector x. By default, missing values turn the product to missing. The user may optionally specify how missing values in x are treated. After installing, issue commands ’net get runningprod’ and ’do runningprod.mata.do’ to compile the function.
Code
rtnorm() returns truncated normal random variates. The user may specify both the mean and standard deviation before truncation, and the interval for the two-side truncation of the distribution. After installing, issue commands ’net get rtnorm’ and ’do rtnorm.mata.do’ to compile the function.
Article
Full-text available
In this article, we describe screening, a new Stata command for data management that can be used to examine the content of complex narrative-text variables to identify one or more user-defined keywords. The command is useful when dealing with string data contaminated with abbreviations, typos, or mistakes. A rich set of options allows a direct tran...
Article
Using data from 1176 Italian municipalities in 2005, we identify factors associated with the development of e-government services supplied by local public administrations (PAs). We show that the combination of internal competencies and context-specific factors is different when explaining decisions to start e-government activities vs. the intensity...
Article
Full-text available
Negli ultimi anni, a causa soprattutto dell'evoluzione demo-grafica e dei continui miglioramenti della tecnologia, una forte attenzione è stata posta da parte di tutti i paesi industrializzati sulla crescita della spesa sanitaria. Relativamente all'Europa, la particolare organizzazione dei sistemi di welfare state ha fatto si che l'attenzione fosse...
Article
This paper contributes to explaining the dynamics of eGovernment diffusion in Italian municipalities which play a key role in interfacing citizens and Local Public Administrations. By defining appropriate synthetic indicators, the study will analyse the relationships between the digitalization of back office services - in terms of ICT equipment and...

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