Barbara Sianesi is an Italian economist currently a senior research economist at the Institute for Fiscal Studies in London. [1] She obtained her PhD from University College London and a BA in economics from Bocconi University.
She is a fellow at the Institute of Labor Economics. [2] Sianesi is the 94th most cited woman in economics according to the IDEAS. [3]
Sianesi's research focuses on unemployment, inequality, econometrics, education economics and experimental economics. [4] Her five most quoted papers have been quoted over 5,796 times according to Google Scholar. [5] Her research has been quoted by the Associated Press. [6] Her dissertation was titled "Essays on the Evaluation of Social Programmes and Educational Qualifications". [7] [8]
Her research has been published in The Review of Economics and Statistics, [9] the Journal of the Royal Statistical Society, [10] the Journal of Economic Surveys, [11] and Fiscal Studies. [12]
Her contribution to the literature includes code on ways to improve propensity score matching. [13]
Barbara Sianesi is an Italian economist currently a senior research economist at the Institute for Fiscal Studies in London. [1] She obtained her PhD from University College London and a BA in economics from Bocconi University.
She is a fellow at the Institute of Labor Economics. [2] Sianesi is the 94th most cited woman in economics according to the IDEAS. [3]
Sianesi's research focuses on unemployment, inequality, econometrics, education economics and experimental economics. [4] Her five most quoted papers have been quoted over 5,796 times according to Google Scholar. [5] Her research has been quoted by the Associated Press. [6] Her dissertation was titled "Essays on the Evaluation of Social Programmes and Educational Qualifications". [7] [8]
Her research has been published in The Review of Economics and Statistics, [9] the Journal of the Royal Statistical Society, [10] the Journal of Economic Surveys, [11] and Fiscal Studies. [12]
Her contribution to the literature includes code on ways to improve propensity score matching. [13]