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Margherita GEROLIMETTO
Margherita GEROLIMETTO
Professor of Economic Statistics, Department of Economics, Ca' Foscari University Venice
Zweryfikowany adres z unive.it
Tytuł
Cytowane przez
Cytowane przez
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Regional convergence and aggregate business cycle in the United States
S Magrini, M Gerolimetto, H Engin Duran
Regional Studies 49 (2), 251-272, 2015
362015
ARIMA and SARIMA models
M Gerolimetto
CaFoscari University of Venice, Italy, 2010
242010
A spatial analysis of employment multipliers in the US
M Gerolimetto, S Magrini
Letters in Spatial and Resource Sciences 9, 277-285, 2016
232016
Testing for (non) linearity in economic time series: a Monte Carlo comparison
M Gerolimetto, L Bisaglia
WORKING PAPER SERIES DSS 3, 2014
232014
Business cycle dynamics across the US states
S Magrini, M Gerolimetto, HE Duran
The BE Journal of Macroeconomics 13 (1), 795-822, 2013
222013
A novel look at long-run convergence dynamics in the United States
M Gerolimetto, S Magrini
International Regional Science Review 40 (3), 241-269, 2017
192017
Model-based INAR bootstrap for forecasting INAR (p) models
L Bisaglia, M Gerolimetto
Computational Statistics 34 (4), 1815-1848, 2019
142019
An empirical strategy to detect spurious effects in long memory and occasional-break processes
L Bisaglia, M Gerolimetto
Communications in Statistics-Simulation and Computation 38 (1), 172-189, 2008
142008
New frontiers in interregional migration research
B Biagi, A Faggian, I Rajbhandari, VA Venhorst, B Biagi, KR Dotzel, A Ariu, ...
New Frontiers in Interregional Migration Research, 1-18, 2018
112018
Spatial analysis of employment multipliers in Spanish labor markets
M Gerolimetto, S Magrini
Rivista Italiana di Economia Demografia e Statistica 68 (3/4), 87-94, 2014
112014
Nonparametric regression with spatially dependent data
M Gerolimetto, S Magrini
Department of Economics WP 20, 2009, 2009
112009
Frequency domain bootstrap for the fractional cointegration regression
M Gerolimetto
Economics Letters 91 (3), 389-394, 2006
112006
Instrumental variables estimation of stationary and non‐stationary cointegrating regressions
PM Robinson, M Gerolimetto
The Econometrics Journal 9 (2), 291-306, 2006
92006
State of the art and future challenges of interregional migration empirical research in Europe
M Gerolimetto, S Magrini
New Frontiers in Interregional Migration Research, 87-104, 2018
82018
Distribution dynamics in the US. A spatial perspective
M Gerolimetto, S Magrini
A Spatial Perspective (January 25, 2016). University Ca'Foscari of Venice …, 2016
7*2016
Spatial distribution dynamics
M Gerolimetto, S Magrini
European Regional Science Association, Conference Paper 1172, 2015
72015
Testing structural breaks versus long memory with the Box–Pierce statistics: a Monte Carlo study
L Bisaglia, M Gerolimetto
Statistical Methods and Applications 18, 543-553, 2009
72009
Forecasting long memory time series when occasional breaks occur
L Bisaglia, M Gerolimetto
Economics Letters 98 (3), 253-258, 2008
72008
Urban growth and convergence dynamics after COVID-19
S Magrini, M Di Cataldo, M Gerolimetto
University Ca'Foscari of Venice, Dept. of Economics Research Paper Series No 18, 2021
52021
Forecasting integer autoregressive processes of order 1: Are simple AR competitive?
L Bisaglia, M Gerolimetto
Economics Bulletin 35 (3), 1652-1660, 2015
52015
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