D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Economics and Finance D-index 58 Citations 13,964 202 World Ranking 445 National Ranking 46

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Law
  • Microeconomics

His primary areas of investigation include Econometrics, Willingness to pay, Mixed logit, Valuation and Discrete choice. His study in Econometrics is interdisciplinary in nature, drawing from both Sample, Preference, Statistics and Respondent. Riccardo Scarpa is interested in Contingent valuation, which is a branch of Willingness to pay.

As a part of the same scientific family, he mostly works in the field of Mixed logit, focusing on Logit and, on occasion, Status quo. His work carried out in the field of Valuation brings together such families of science as Actuarial science, Multinomial logistic regression, Random utility models and Choice modelling. The study incorporates disciplines such as Space, Travel cost and Confounding in addition to Discrete choice.

His most cited work include:

  • Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why* (442 citations)
  • Contemporary Guidance for Stated Preference Studies (420 citations)
  • Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study (399 citations)

What are the main themes of his work throughout his whole career to date?

Riccardo Scarpa focuses on Econometrics, Willingness to pay, Valuation, Astrophysics and Mixed logit. His Econometrics research focuses on Recreation and how it relates to Welfare. His work investigates the relationship between Willingness to pay and topics such as Marketing that intersect with problems in Certification.

As a part of the same scientific study, he usually deals with the Mixed logit, concentrating on Sample and frequently concerns with Production. His research in Discrete choice intersects with topics in Quality and Microeconomics. His Contingent valuation research integrates issues from Actuarial science and Public economics.

He most often published in these fields:

  • Econometrics (43.86%)
  • Willingness to pay (39.04%)
  • Valuation (24.82%)

What were the highlights of his more recent work (between 2015-2021)?

  • Econometrics (43.86%)
  • Willingness to pay (39.04%)
  • Preference (15.90%)

In recent papers he was focusing on the following fields of study:

The scientist’s investigation covers issues in Econometrics, Willingness to pay, Preference, Mixed logit and Valuation. His Econometrics study frequently draws connections to other fields, such as Choice modelling. The Willingness to pay study combines topics in areas such as Psychological intervention, Agricultural economics, Logit, Marketing and Respondent.

His research investigates the connection between Preference and topics such as Set that intersect with issues in Choice set and Public economics. The various areas that Riccardo Scarpa examines in his Mixed logit study include Public good, Actuarial science and Discrete choice. His Valuation research is multidisciplinary, relying on both Natura 2000 and Revenue.

Between 2015 and 2021, his most popular works were:

  • Contemporary Guidance for Stated Preference Studies (420 citations)
  • Use of RAAS Inhibitors and Risk of Clinical Deterioration in COVID-19: Results From an Italian Cohort of 133 Hypertensives. (39 citations)
  • Cue versus independent food attributes: the effect of adding attributes in choice experiments (39 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Law
  • Microeconomics

Riccardo Scarpa spends much of his time researching Econometrics, Willingness to pay, Marketing, Discrete choice and Recreation. Riccardo Scarpa combines subjects such as Normality, Quality, Confidence interval and Choice modelling with his study of Econometrics. Riccardo Scarpa has researched Willingness to pay in several fields, including Situational ethics, Coastal management, Valuation and Sampling error.

The various areas that Riccardo Scarpa examines in his Marketing study include Preference, Environmental economics, Logit and Certification. His Discrete choice study combines topics in areas such as Mixed logit, Mixing, Range and Curse of dimensionality. The Recreation study combines topics in areas such as Site selection, Selection, Microeconomics, Public expenditure and Destinations.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Contemporary Guidance for Stated Preference Studies

Robert J. Johnston;Kevin J. Boyle;Wiktor Adamowicz;Jeff Bennett.
Journal of the Association of Environmental and Resource Economists (2017)

642 Citations

Design efficiency for non-market valuation with choice modelling: how to measure it, what to report and why*

Riccardo Scarpa;John M. Rose.
Australian Journal of Agricultural and Resource Economics (2008)

617 Citations

Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study

Silvia Ferrini;Silvia Ferrini;Riccardo Scarpa.
Journal of Environmental Economics and Management (2007)

557 Citations

Tourism and Economic Growth in Latin American Countries: A Panel Data Approach

Juan Luis Eugenio-Martín;Noelia Martín Morales;Riccardo Scarpa.
Research Papers in Economics (2004)

543 Citations

Willingness-to-pay for renewable energy: Primary and discretionary choice of British households’ for micro-generation technologies

Riccardo Scarpa;Kenneth G. Willis.
Energy Economics (2010)

502 Citations

Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps

Riccardo Scarpa;Mara Thiene;Kenneth Train.
American Journal of Agricultural Economics (2008)

463 Citations

Destination Choice Models for Rock Climbing in the Northeastern Alps: A Latent-Class Approach Based on Intensity of Preferences

Riccardo Scarpa;Mara Thiene.
Land Economics (2005)

411 Citations

Modelling attribute non-attendance in choice experiments for rural landscape valuation

Riccardo Scarpa;Timothy J. Gilbride;Danny Campbell;David A. Hensher.
European Review of Agricultural Economics (2009)

378 Citations

The HST Survey of BL Lacertae Objects. II. Host Galaxies

Joseph E. Pesce;Matthew J. O'Dowd;Renato Falomo;Riccardo Scarpa.
arXiv: Astrophysics (1999)

363 Citations

Performance of Error Component Models for Status-Quo Effects in Choice Experiments

Riccardo Scarpa;Silvia Ferrini;Kenneth Willis.
(2005)

317 Citations

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