プロフィール詳細

プロジェクトを作成

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Dr. Eduardo F.に依頼

United Kingdom

Professor & Statistical Consultant | Causal Inference, Biostatistics, Econometrics, R & Python

プロフィール概要

I am a Professor of Econometrics and Social Statistics at the University of Manchester with extensive experience helping researchers, healthcare organisations, public bodies and businesses answer complex questions using data. My expertise lies in causal inference, econometrics, statistical modelling and machine learning. I have over 20 years of experience designing studies, analysing observational and experimental data, developing statistical methodology, and translating complex analyses into clear, actionable insights. I have published research in leading international journals, including the Journal of Political Economy, Health Economics, and the Journal of the Royal Statistical Society, with work focusing on causal inference, programme evaluation, health economics, cognitive ageing, and applied econometrics. I can help with projects involving: • Causal inference (propensity score methods, instrumental variables, regression discontinuity, difference-in-differences, panel data methods) • Statistical modelling and hypothesis testing • Machine learning and predictive modelling • Health economics and epidemiological data analysis • Survey and longitudinal data analysis • Experimental design and statistical analysis plans • Reproducible research in R and Python • Statistical review of manuscripts, grant proposals and reports

専門分野

• ☆ Biostatistics
• ☆ Data Analysis
• ☆ Cluster Analysis
• ☆ Machine Learning
• ☆ Neural Networks
• ☆ Financial Modeling
• ☆ Statistics
• ☆ Statistical Theory
• ☆ Applied Statistics
• ☆ Social Statistics
• ☆ Regression Analysis
• ☆ Multivariate Analysis
• ☆ Nonlinear Regression
• ☆ Survey Design
• ☆ Spatial Statistics
• ☆ Medical Statistics
• ☆ Health Data Analysis
• ☆ Python
• ☆ Matlab
• ☆ STATA
• ☆ R
• ☆ Health Economics
• ☆ Econometrics

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing

Research User Research, Meta-Research, Feasibility Study, Scientific and Technical Research, Systematic Literature Review, Secondary Data Collection

Consulting Business Strategy Consulting, Healthcare Consulting, Legal Consulting, Scientific and Technical Consulting, Financial Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics

職務経験

Professor of Social Statistics and Econometrics

University of Manchester

6月 2026 - 現在

Professor of Social Statistics and Econometrics

University of Manchester

7月 2018 - 現在

学歴

Ph.D. in Econometrics

University of Manchester

9月 2001 - 6月 2005

認定資格

• n/a

  n/a

  1月 2026 - 現在

出版物

JOURNAL ARTICLE

Eduardo Fé, Sabaa Jahangir (2026). Perseverance, cognitive skills and life outcomes . Journal of Economic Behavior & Organization.

Eduardo Fé (2025). Partial Identification of the Dark Figure of Crime with Survey Data Under Misreporting Errors . Journal of Quantitative Criminology.

Doctor competence and the demand for healthcare @article{4003f85cd0d2452e81d60f0620d17264, title = "Doctor competence and the demand for healthcare: evidence from rural China", abstract = "The agency problem between patients and doctors has long been emphasised in the health economics literature, but the empirical evidence on whether patients can evaluate and respond to better quality care remains mixed and inconclusive. Using household data linked to an assessment of village doctors' clinical competence in rural China, we show that there is no correlation between doctor competence and patients' healthcare utilisation, with confidence intervals reasonably tight around zero. Household perceptions of quality are an important determinant of care seeking behaviour yet patients appear unable to recognise more competent doctors -there is no relationship between doctor competence and perceptions of quality. ", keywords = "doctor competence, quality of care, perceptions, item response theory", author = "Eduardo Fe and Timothy Powell-Jackson and Winnie Yip", year = "2017", month = oct, day = "31", doi = "10.1002/hec.3387", language = "English", volume = "26", pages = "1177--1190", journal = "Health Economics", issn = "1057-9230", publisher = "John Wiley and Sons Ltd", number = "10", } . Health Economics.

Short- and long-run estimates of the local effects of retirement on health @article{5d27a1aebab746228381b2d0bb641f0a, title = "Short- and long-run estimates of the local effects of retirement on health", abstract = "We explore the existence of short- and long-term effects of retirement on health. Short-term effects are estimated with a regression discontinuity design which is robust to weak instruments and where the underlying assumptions of continuity of potential outcomes are uncontroversial. To identify the long-term effects we propose a parametric model which, under strong assumptions, can separate normal deterioration of health from the causal effects of retirement. We apply our framework to the British Household Panel Survey and find that retirement has little effect on health. However, our estimates suggest that retirement opens the gate to a sedentary life with an impoverished social component and this is a channel through which retirement could indirectly affect health in the long run.", keywords = "health, instrumental variables, regression discontinuity, retirement, wild bootsrap", author = "Eduardo F{\'e} and Bruce Hollingsworth", year = "2016", month = oct, day = "31", doi = "10.1111/rssa.12156", language = "English", volume = "179", pages = "1051--1067", journal = "Journal of the Royal Statistical Society: Series A ", issn = "0964-1998", publisher = "Oxford University Press", number = "4", } . Journal of the Royal Statistical Society: Series A.

Estimation and inference in regression discontinuity designs with asymmetric kernels @article{3d914ac04eee4ad8beac17b3fb3ed6fb, title = "Estimation and inference in regression discontinuity designs with asymmetric kernels", abstract = "We study the behaviour of the Wald estimator of causal effects in regression discontinuity design when local linear regression (LLR) methods are combined with an asymmetric gamma kernel. We show that the resulting statistic is no more complex to implement than existing methods, remains consistent at the usual non-parametric rate, and maintains an asymptotic normal distribution but, crucially, has bias and variance that do not depend on kernel-related constants. As a result, the new estimator is more efficient and yields more reliable inference. A limited Monte Carlo experiment is used to illustrate the efficiency gains. As a by product of the main discussion, we extend previous published work by establishing the asymptotic normality of the LLR estimator with a gamma kernel. Finally, the new method is used in a substantive application.", keywords = "asymmetric kernels, local linear regression, regression discontinuity", author = "Eduardo F{\'e}", year = "2014", month = nov, day = "2", doi = "10.1080/02664763.2014.910638", language = "English", volume = "41", pages = "2406--2417", journal = "Journal of Applied Statistics", issn = "0266-4763", publisher = "Routledge", number = "11", } . Journal of Applied Statistics.

Capitation combined with pay-for-performance improves antibiotic prescribing practices in rural China @article{52dae18633a3466193862a7656f8f1bc, title = "Capitation combined with pay-for-performance improves antibiotic prescribing practices in rural China", abstract = "Pay-for-performance in health care holds promise as a policy lever to improve the quality and efficiency of care. Although the approach has become increasingly popular in developing countries in recent years, most policy designs do not permit the rigorous evaluation of its impact. Thus, evidence of its effect is limited. In collaboration with the government of Ningxia Province, a predominantly rural area in northwest China, we conducted a matched-pair cluster-randomized experiment between 2009 and 2012 to evaluate the effects of capitation with pay-for-performance on primary care providers' antibiotic prescribing practices, health spending, outpatient visit volume, and patient satisfaction. We found that the intervention led to a reduction of approximately 15 percent in antibiotic prescriptions and a small reduction in total spending per visit to village posts-essentially, community health clinics. We found no effect on other outcomes. Our results suggest that capitation with pay-for-performance can improve drug prescribing practices by reducing overprescribing and inappropriate prescribing. Our study also shows that rigorous evaluations of health system interventions are feasible when conducted in close collaboration with the government.", keywords = "pay for performance, provider payment incentive, primary care, quality of care, rural China", author = "Winnie Yip and Timothy Powell-Jackson and Wen Chen and Min Hu and Eduardo Fe and Mu Hu and Weiyan Jian and Ming Lu and Wei Han and Hsiao, \{William C\}", year = "2014", month = mar, day = "1", doi = "10.1377/hlthaff.2013.0702", language = "English", volume = "33", pages = "502--510", journal = "Health Affairs", issn = "0278-2715", publisher = "Project HOPE", number = "3", } . Health Affairs.

Count data stochastic frontier models, with an application to the patents-R&D relationship @article{0d0ae66168d1460385fe85d6f1e59fac, title = "Count data stochastic frontier models, with an application to the patents-R\&D relationship", abstract = "This article introduces a new count data stochastic frontier model that researchers can use in order to study efficiency in production when the output variable is a count (so that its conditional distribution is discrete). We discuss parametric and nonparametric estimation of the model, and a Monte Carlo study is presented in order to evaluate the merits and applicability of the new model in small samples. Finally, we use the methods discussed in this article to estimate a production function for the number of patents awarded to a firm given expenditure on R\&D. ", keywords = "discrete data, halton sequence, local maximum likelihood, maximum simulated likelihood, stochastic frontier analysis", author = "Eduardo F{\'e} and Richard Hofler", year = "2013", month = jun, day = "20", doi = "10.1007/s11123-012-0286-y", language = "English", volume = "39", pages = "271--284", journal = "Journal of Productivity Analysis", issn = "0895-562X", publisher = "Springer Netherlands", number = "3", } . Journal of Productivity Analysis.

Estimating production frontiers and efficiency when output is a discretely distributed economic bad @article{033cf6247a984b899364637b685d3f9b, title = "Estimating production frontiers and efficiency when output is a discretely distributed economic bad", abstract = "This article studies the estimation of production frontiers and efficiency scores when the commodity of interest is an economic bad with a discrete distribution. Existing parametric econometric techniques (stochastic frontier methods) assume that output is a continuous random variable but, if output is discretely distributed, then one faces a scenario of model misspecification. Therefore a new class of econometric models has been developed to overcome this problem. The Delaporte subclass of models is studied in detail, and tests of hypotheses are proposed to discriminate among parametric models. In particular, Pearson's chi-squared test is adapted to construct a new kernel-based consistent Pearson test. A Monte Carlo experiment evaluates the merits of the new model and methods, and these are used to estimate the frontier and efficiency scores of the production of infant deaths in England. Extensions to the model are discussed. ", keywords = "consistent misspecification test, delaporte distribution, infant deaths, local likelihood, Pearson's chi-square tests, stochastic frontier", author = "Eduardo F{\'e}", year = "2013", month = jun, doi = "10.1007/s11123-012-0287-x", language = "English", volume = "39", pages = "285--302", journal = "Journal of Productivity Analysis", issn = "0895-562X", publisher = "Springer Netherlands", number = "3", } . Journal of Productivity Analysis.

Instrumental variable estimation of heteroskedasticity adaptive error component models @article{b32c2170fa5d46d5ba9355e25cd10e16, title = "Instrumental variable estimation of heteroskedasticity adaptive error component models", abstract = "The linear panel data estimator proposed by Hausman and Taylor relaxes the hypothesis of exogenous regressors that is assumed by generalized least squares methods but, unlike the Fixed Effects estimator, it can handle endogenous time invariant explanatory variables in the regression equation. One of the assumptions underlying the estimator is the homoskedasticity of the error components. This can be restrictive in applications, and therefore in this paper the assumption is relaxed and more efficient adaptive versions of the estimator are presented.", keywords = "Hausman-Taylor, heteroskedasticity, local polynomial regression, panel data", author = "Eduardo F{\'e}", year = "2012", month = aug, doi = "10.1007/s00362-011-0366-5", language = "English", volume = "53", pages = "577--615", journal = "Statistical Papers", issn = "0932-5026", publisher = "Springer New York", number = "3", } . Statistical Papers.

Predictors of risky alcohol consumption in schoolchildren and their implications for preventing alcohol-related harm @article{e4e1f65aaacb451e9f4638da010ba353, title = "Predictors of risky alcohol consumption in schoolchildren and their implications for preventing alcohol-related harm", abstract = "While alcohol-related health and social problems amongst youths are increasing internationally, both consumption and associated harms are particularly high in British youth. Youth drinking patterns, including bingeing, frequent drinking and drinking in public spaces, are associated with increased risks of acute (e.g. violence) and long-term (e.g. alcohol-dependence) health problems. Here we examine economic, behavioural and demographic factors that predict these risky drinking behaviours among 15-16 year old schoolchildren who consume alcohol. A cross-sectional survey was conducted among schoolchildren in North West England (n = 10,271) using an anonymous questionnaire delivered in school settings. Analysis utilised logistic regression to identify independent predictors of risky drinking behaviour. Of all respondents, 87.9\% drank alcohol. Of drinkers, 38.0\% usually binged when drinking, 24.4\% were frequent drinkers and 49.8\% drank in public spaces. Binge, frequent and public drinking were strongly related to expendable income and to individuals buying their own alcohol. Obtaining alcohol from friends, older siblings and adults outside shops were also predictors of risky drinking amongst drinkers. However, being bought alcohol by parents was associated with both lower bingeing and drinking in public places. Membership of youth groups/teams was in general protective despite some association with bingeing. Although previous studies have examined predictors of risky drinking, our analyses of access to alcohol and youth income have highlighted eradicating underage alcohol sales and increased understanding of children's spending as key considerations in reducing risky alcohol use. Parental provision of alcohol to children in a family environment may also be important in establishing child-parent dialogues on alcohol and moderating youth consumption. However, this will require supporting parents to ensure they develop only moderate drinking behaviours in their children and only when appropriate. ", keywords = "adolescent, adolescent behavior, alcohol drinking, alcohol-related disorders, cross-sectional studies, demography, England, female, health surveys, humans, male, predictive value of tests, questionnaires, risk factors, risk-taking, schools , social environment, socioeconomic factors, students", author = "Bellis, \{Mark A\} and Karen Hughes and Michela Morleo and Karen Tocque and Sara Hughes and Tony Allen and Dominic Harrison and Eduardo Fe-Rodriguez", year = "2007", month = may, day = "10", doi = "10.1186/1747-597X-2-15", language = "English", volume = "2", journal = "Substance abuse treatment, prevention, and policy", issn = "1747-597X", publisher = "BioMed Central", } . Substance abuse treatment, prevention, and policy.