D. Giuliani

发表

Detecting the existence of space–time clustering of firms

G. Arbia, G. Espa, D. Giuliani, 2010 .

FBK @ IWSLT 2013 – ASR tracks

D. Giuliani, Daniele Falavigna, Roberto Gretter, 2013, IWSLT.

Assessing the effect of containment measures on the spatio-temporal dynamic of COVID-19 in Italy

G. Espa, D. Giuliani, L. Savadori, 2020, Nonlinear dynamics.

A stand-level model derived from National Forest Inventory data to predict periodic annual volume increment of forests in Italy

P. Gasparini, D. Giuliani, M. Rizzo, 2017 .

Efficiency and feasibility of sampling schemes in establishment surveys

G. Espa, D. Giuliani, A. Grafström, 2019, Mathematical Population Studies.

A Cross-Entropy Approach to the Estimation of Generalized Linear Multilevel Models

G. Espa, D. Giuliani, M. Bee, 2017 .

Weighting Ripley’s K-Function to Account for the Firm Dimension in the Analysis of Spatial Concentration

Giuseppe Arbia, Giuseppe Espa, Diego Giuliani, 2014 .

Dirty spatial econometrics

G. Arbia, G. Espa, D. Giuliani, 2016 .

Consumers’ willingness to pay for green cars: a discrete choice analysis in Italy

D. Giuliani, Ericka Costa, Dario Montemurro, 2019, Environment, Development and Sustainability.

Assessing the importance of spatial sampling designs in business surveys

G. Espa, D. Giuliani, M. M. Dickson, 2013 .

Reassessing the spatial determinants of the growth of Italian SMEs

M. Corsino, G. Espa, D. Giuliani, 2013 .

Spatio-temporal clustering in the pharmaceutical and medical device manufacturing industry: A geographical micro-level analysis

G. Arbia, G. Espa, D. Giuliani, 2014 .

plot3logit: Ternary Plots for Interpreting Trinomial Regression Models

G. Espa, D. Giuliani, M. M. Dickson, 2022, J. Stat. Softw..

Assessing the effect of containment measures on the spatio-temporal dynamic of COVID-19 in Italy

G. Espa, D. Giuliani, L. Savadori, 2020, Nonlinear Dynamics.

Green transition as a driver of technical efficiency. An empirical study on Italian airports

G. Espa, D. Giuliani, M. M. Dickson, 2022, 2210.02736.

Modelling and predicting the spatio-temporal spread of cOVID-19 in Italy

G. Espa, D. Giuliani, M. M. Dickson, 2020, BMC Infectious Diseases.

An individual-tree linear mixed-effects model for predicting the basal area increment of major forest species in Southern Europe

P. Gasparini, D. Giuliani, M. M. Dickson, 2020, Forest Systems.

A micro spatial analysis of firm demography: the case of food stores in the area of Trento (Italy)

G. Arbia, G. Espa, D. Giuliani, 2014, Empirical Economics.

Business change in Italian regions. A spatial shift-share approach to plant-level data

G. Espa, D. Giuliani, D. Filipponi, 2012 .

Conditional versus unconditional industrial agglomeration: disentangling spatial dependence and spatial heterogeneity in the analysis of ICT firms’ distribution in Milan

Diego Giuliani, Giuseppe Arbia, Giuseppe Espa, 2012, Journal of Geographical Systems.

The effect of agglomeration economies and geography on the survival of accommodation businesses in Sicily

D. Giuliani, Andrea Mazzitelli, M. Cracolici, 2020 .

Measuring the spatial balance of a sample: A new measure based on the Moran's I index

G. Espa, D. Giuliani, Yves Till'e, 2017, 1710.04549.

Clusters of firms in space and time

G. Arbia, G. Espa, D. Giuliani, 2009 .

Empirical Assessment of the Tourism-Led Growth Hypothesis: The Case of the Tirol—Südtirol—Trentino Europaregion

D. Giuliani, J. Brida, 2013 .

On the Spatial Determinants of Firm Growth: A Microlevel Analysis of the Italian SMEs

G. Arbia, D. Giuliani, R. Gabriele, 2020, Spatial Economics Volume II.

A spatial analysis of health and pharmaceutical firm survival

G. Arbia, G. Espa, D. Giuliani, 2017 .

Effects of missing data and locational errors on spatial concentration measures based on Ripley’s K-function

Diego Giuliani, Giuseppe Arbia, Maria Michela Dickson, 2017 .

Spatial modeling of firm survival

G. Arbia, G. Espa, D. Giuliani, 2014 .

Going abroad on regional shoulders: the role of spillovers on the composition of regional exports

E. Zaninotto, D. Giuliani, M. Bannò, 2014 .

Modelling and Predicting the Spatio-Temporal Spread of Coronavirus Disease 2019 (COVID-19) in Italy

Maria Michela Dickson, Flavio Santi, Giuseppe Espa, 2020, SSRN Electronic Journal.

Clusters of firms in an inhomogeneous space: The high-tech industries in Milan

Giuseppe Arbia, Giuseppe Espa, Andrea Mazzitelli, 2012 .

Design-based estimation in environmental surveys with positional errors

Diego Giuliani, Emanuele Taufer, Marco Bee, 2018, Environmental and Ecological Statistics.

Green Production as a Factor of Survival for Innovative Startups: Evidence from Italy

G. Espa, D. Giuliani, M. M. Dickson, 2020, Sustainability.

Conditional versus unconditional industrial agglomeration: disentangling spatial dependence and spatial heterogeneity in the analysis of ICT firms’ distribution in Milan

G. Arbia, G. Espa, D. Giuliani, 2013, J. Geogr. Syst..

The nature of export spillovers on trade: an analysis at NUTS 3 level in Italy

E. Zaninotto, D. Giuliani, M. Bannò, 2015 .

Reduced-bias estimation of spatial autoregressive models with incompletely geocoded data

Giuseppe Arbia, Maria Michela Dickson, Flavio Santi, 2021, Computational Statistics.

Measurement Errors Arising When Using Distances in Microeconometric Modelling and the Individuals’ Position Is Geo-Masked for Confidentiality

G. Arbia, G. Espa, D. Giuliani, 2015 .

Incomplete geocoding and spatial sampling: The effects of locational errors on population total estimation

Diego Giuliani, Maria Michela Dickson, Giuseppe Espa, 2017, Comput. Environ. Urban Syst..

Modelling and predicting the spread of Coronavirus (COVID-19) infection in NUTS-3 Italian regions

Maria Michela Dickson, Flavio Santi, Giuseppe Espa, 2020 .

Measuring industrial agglomeration with inhomogeneous K-function: the case of ICT firms in Milan (Italy)

G. Arbia, G. Espa, D. Giuliani, 2010 .

A micro spatial analysis of firm demography: the case of food stores in the area of Trento (Italy)

G. Arbia, G. Espa, D. Giuliani, 2015 .

The Use of Spatial Sampling Designs in Business Surveys

Diego Giuliani, Maria Michela Dickson, Roberto Benedetti, 2014 .