Foto del docente

Riccardo D'Alberto

Adjunct professor

Department of Statistical Sciences "Paolo Fortunati"

Research fellow

Department of Statistical Sciences "Paolo Fortunati"

Teaching tutor

Department of Statistical Sciences "Paolo Fortunati"

Department of Management

Publications

D'Alberto, Riccardo; Zavalloni, Matteo; Raggi, Meri; Viaggi, Davide, A Statistical Matching approach to reproduce the heterogeneity of willingness to pay in benefit transfer, «SOCIO-ECONOMIC PLANNING SCIENCES», 2021, 74, Article number: 100935 , pp. 1 - 19 [Scientific article]

Raina, N; Zavalloni, M; Targetti, S; D'Alberto, R; Raggi, M; Viaggi, D, A systematic review of attributes used in choice experiments for agri-environmental contracts, «BIO-BASED AND APPLIED ECONOMICS», 2021, 10, pp. 137 - 152 [Scientific article]Open Access

Zavalloni M.; D'Alberto R.; Raggi M.; Viaggi D., Farmland abandonment, public goods and the CAP in a marginal area of Italy, «LAND USE POLICY», 2021, 107, Article number: 104365 , pp. 1 - 12 [Scientific article]

D’Alberto, Riccardo; Raggi, Meri, From collection to integration: Non-parametric Statistical Matching between primary and secondary farm data, «STATISTICAL JOURNAL OF THE IAOS», 2021, 37, pp. 579 - 589 [Scientific article]

D'Alberto, Riccardo; Raggi, Meri, How much reliable are the integrated ‘live’ data? A validation strategy proposal for the non-parametric micro statistical matching, «JOURNAL OF APPLIED STATISTICS», 2021, 48, pp. 322 - 348 [Scientific article]

D'Alberto, Riccardo; Raggi, Meri; Cocchi, Daniela, The link-match tale: new microdata from unit level association (Linkage e matching per generare nuovi database integrati a livello individuale), in: Proceedings of the Conference of the Italian Statistical Society, 2021, pp. 1009 - 1014 (atti di: 50th edition of the Scientific Meeting of the Italian Statistical Society, Pisa (online), 21-25 giugno 2021) [Contribution to conference proceedings]

D’Alberto, Riccardo; Zavalloni, Matteo; Raggi, Meri; Viaggi, Davide, AES Impact Evaluation With Integrated Farm Data: Combining Statistical Matching and Propensity Score Matching, «SUSTAINABILITY», 2018, 10, pp. 1 - 24 [Scientific article]Open Access

Riccardo, D'Alberto; Meri, Raggi, Non-parametric micro Statistical Matching techniques: some developments (Tecniche micro non-parametriche per Statistical Matching: alcuni sviluppi), in: Petrucci A., Verde R., Proceedings of the Conference of the Italian Statistical Society, Firenze University Press, 2017, pp. 339 - 344 (atti di: SIS2017 - Statistics and Data Science: new challenges, new generations, Firenze, 28-30 June 2017) [Contribution to conference proceedings]

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