The activity of evaluation of Public Intervention, or Regulation activity, is actually considered from public administration as a strategic element of political and administrative action. This gives rise to the development of several methods for the exante evaluation of the effects of normative regulations, both on citizens and enterprise activities and on organization and operation of Public Administrations. However, the proposed methodologies not taking into account the complexity and multidimensionality of the phenomenon, often offer a partial and qualitative point of view. Here we propose several statistical methods based on the classical Conjoint Analysis model. Our aim is to measure and evaluate the sustainability and the expected benefits of regulation respect to different designed alternatives. Mainly, we propose to apply a strategy that - integrating the Conjoint Analysis with graphical factorial representations - allows getting several purposes such as to synthesize individual judgments and to underline the different evaluation preference structures expressed by several groups of judges. The developed methodologies will be applied on real data.
Conjoint Analysis Based Methodologies For The Ex-Ante Evaluation Of Regulatory Impact / Scepi, Germana; Lauro, Natale; Giordano, G.. - In: STATISTICA APPLICATA. - ISSN 1125-1964. - STAMPA. - 3-4 (2008):(2009), pp. 1-20.
Conjoint Analysis Based Methodologies For The Ex-Ante Evaluation Of Regulatory Impact
SCEPI, GERMANA;LAURO, NATALE;
2009
Abstract
The activity of evaluation of Public Intervention, or Regulation activity, is actually considered from public administration as a strategic element of political and administrative action. This gives rise to the development of several methods for the exante evaluation of the effects of normative regulations, both on citizens and enterprise activities and on organization and operation of Public Administrations. However, the proposed methodologies not taking into account the complexity and multidimensionality of the phenomenon, often offer a partial and qualitative point of view. Here we propose several statistical methods based on the classical Conjoint Analysis model. Our aim is to measure and evaluate the sustainability and the expected benefits of regulation respect to different designed alternatives. Mainly, we propose to apply a strategy that - integrating the Conjoint Analysis with graphical factorial representations - allows getting several purposes such as to synthesize individual judgments and to underline the different evaluation preference structures expressed by several groups of judges. The developed methodologies will be applied on real data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.