Valentino Dardanoni

2.0k total citations
45 papers, 1.1k citations indexed

About

Valentino Dardanoni is a scholar working on Economics and Econometrics, Sociology and Political Science and Statistics and Probability. According to data from OpenAlex, Valentino Dardanoni has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Economics and Econometrics, 11 papers in Sociology and Political Science and 11 papers in Statistics and Probability. Recurrent topics in Valentino Dardanoni's work include Statistical Methods and Bayesian Inference (10 papers), Income, Poverty, and Inequality (9 papers) and Statistical Methods and Inference (7 papers). Valentino Dardanoni is often cited by papers focused on Statistical Methods and Bayesian Inference (10 papers), Income, Poverty, and Inequality (9 papers) and Statistical Methods and Inference (7 papers). Valentino Dardanoni collaborates with scholars based in Italy, United Kingdom and United States. Valentino Dardanoni's co-authors include Antonio Forcina, Adam Wagstaff, Marcello D’Agostino, John D. Hey, Peter J. Lambert, Philippe Lambert, Franco Peracchi, Paolo Li Donni, Salvatore Modica and Francesco Bartolucci and has published in prestigious journals such as Journal of the American Statistical Association, Econometrica and Journal of Political Economy.

In The Last Decade

Valentino Dardanoni

44 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Valentino Dardanoni Italy 21 557 300 184 166 124 45 1.1k
Francesca Molinari United States 16 612 1.1× 117 0.4× 276 1.5× 103 0.6× 104 0.8× 36 1.2k
George R. Neumann United States 23 1.2k 2.1× 223 0.7× 93 0.5× 188 1.1× 151 1.2× 43 1.8k
Isaiah Andrews United States 14 539 1.0× 187 0.6× 227 1.2× 70 0.4× 157 1.3× 27 1.2k
Stéphane Bonhomme United States 21 1.1k 1.9× 196 0.7× 244 1.3× 192 1.2× 190 1.5× 48 1.5k
Yingyao Hu United States 17 609 1.1× 170 0.6× 318 1.7× 86 0.5× 49 0.4× 67 1.3k
Rosa L. Matzkin United States 19 973 1.7× 89 0.3× 329 1.8× 48 0.3× 55 0.4× 34 1.4k
Jaap H. Abbring Netherlands 13 774 1.4× 122 0.4× 278 1.5× 368 2.2× 81 0.7× 49 1.2k
Azeem M. Shaikh United States 21 539 1.0× 175 0.6× 843 4.6× 53 0.3× 64 0.5× 59 1.6k
Kaushik Kalyanaraman India 3 594 1.1× 292 1.0× 196 1.1× 122 0.7× 248 2.0× 7 1.5k
Aprajit Mahajan United States 13 564 1.0× 137 0.5× 92 0.5× 50 0.3× 220 1.8× 35 1.1k

Countries citing papers authored by Valentino Dardanoni

Since Specialization
Citations

This map shows the geographic impact of Valentino Dardanoni's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Valentino Dardanoni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentino Dardanoni more than expected).

Fields of papers citing papers by Valentino Dardanoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valentino Dardanoni. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Valentino Dardanoni. The network helps show where Valentino Dardanoni may publish in the future.

Co-authorship network of co-authors of Valentino Dardanoni

This figure shows the co-authorship network connecting the top 25 collaborators of Valentino Dardanoni. A scholar is included among the top collaborators of Valentino Dardanoni based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Valentino Dardanoni. Valentino Dardanoni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dardanoni, Valentino, et al.. (2022). Mixture Choice Data: Revealing Preferences and Cognition. Journal of Political Economy. 131(3). 687–715. 7 indexed citations
2.
Dardanoni, Valentino & Paolo Li Donni. (2012). Incentive and selection effects of Medigap insurance on inpatient care. Journal of Health Economics. 31(3). 457–470. 21 indexed citations
3.
Dardanoni, Valentino & Paolo Li Donni. (2011). Reporting heterogeneity in health: an extended latent class approach. Applied Economics Letters. 19(12). 1129–1133. 4 indexed citations
4.
Dardanoni, Valentino, et al.. (2010). School grading and institutional contexts. Education Economics. 19(5). 475–486. 1 indexed citations
5.
Dardanoni, Valentino, Mario Fiorini, & Antonio Forcina. (2010). Stochastic monotonicity in intergenerational mobility tables. Journal of Applied Econometrics. 27(1). 85–107. 14 indexed citations
6.
Dardanoni, Valentino, et al.. (2009). Grading Across Schools. The B E Journal of Economic Analysis & Policy. 9(1). 13 indexed citations
7.
Peracchi, Franco, Valentino Dardanoni, & Salvatore Modica. (2009). Regression with Imputed Covariates: A Generalized Missing Indicator Approach. SSRN Electronic Journal. 1 indexed citations
8.
Calvaruso, Vincenza, Calogero Cammà, V. Di Marco, et al.. (2009). Fibrosis staging in chronic hepatitis C: analysis of discordance between transient elastography and liver biopsy. Journal of Viral Hepatitis. 17(7). 469–74. 31 indexed citations
9.
Dardanoni, Valentino, et al.. (2009). The Simpson paradox of school grading in Italy. Research in Economics. 63(2). 91–94. 2 indexed citations
10.
Forcina, Antonio & Valentino Dardanoni. (2008). Regression models for multivariate ordered responses via the Plackett distribution. Journal of Multivariate Analysis. 99(10). 2472–2478. 3 indexed citations
11.
Dardanoni, Valentino, Gary S. Fields, John E. Roemer, & María Laura Sánchez Puerta. (2006). How Demanding Should Equality of Opportunity Be, and How Much Have We Achieved?. eCommons (Cornell University). 22 indexed citations
12.
Bartolucci, Francesco, Antonio Forcina, & Valentino Dardanoni. (2001). Positive Quadrant Dependence and Marginal Modeling in Two-Way Tables With Ordered Margins. Journal of the American Statistical Association. 96(456). 1497–1505. 33 indexed citations
13.
Dardanoni, Valentino & Antonio Forcina. (1999). Inference for Lorenz curve orderings. Econometrics Journal. 2(1). 49–75. 89 indexed citations
14.
Dardanoni, Valentino & Antonio Forcina. (1998). A Unified Approach to Likelihood Inference on Stochastic Orderings in a Nonparametric Context. Journal of the American Statistical Association. 93(443). 1112–1123. 77 indexed citations
15.
Dardanoni, Valentino. (1993). Measuring Social Mobility. Journal of Economic Theory. 61(2). 372–394. 98 indexed citations
16.
Dardanoni, Valentino & Adam Wagstaff. (1990). Uncertainty and the demand for medical care. Journal of Health Economics. 9(1). 23–38. 95 indexed citations
17.
Dardanoni, Valentino. (1990). Implications of behavioral consistency in dynamic choice under uncertainty. Theory and Decision. 29(3). 223–234. 2 indexed citations
18.
Dardanoni, Valentino. (1989). The Private Provision of a Public Good Under Uncertainty. 377–390. 1 indexed citations
19.
Dardanoni, Valentino, et al.. (1988). Tax Evasion and Intensity of Auditing. 165–172.
20.
Hey, John D. & Valentino Dardanoni. (1988). Optimal Consumption Under Uncertainty: An Experimental Investigation. The Economic Journal. 98(390). 105–105. 61 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Francesca Molinari Breakdown of academic impact, for papers by George R. Neumann Breakdown of academic impact, for papers by Isaiah Andrews Breakdown of academic impact, for papers by Stéphane Bonhomme Breakdown of academic impact, for papers by Yingyao Hu Breakdown of academic impact, for papers by Rosa L. Matzkin Breakdown of academic impact, for papers by Jaap H. Abbring Breakdown of academic impact, for papers by Azeem M. Shaikh Breakdown of academic impact, for papers by Kaushik Kalyanaraman Breakdown of academic impact, for papers by Aprajit Mahajan
Rankless by CCL
2026