World's Best Scientists 2026 revealed!

D-Index & Metrics

Economics and Finance

D-Index
38
Citations
12114
World Ranking
2475
National Ranking
1392

Mathematics

D-Index
40
Citations
12601
World Ranking
1984
National Ranking
837

Overview

Aman Ullah is affiliated with the University of California, Riverside in the United States. Their research primarily spans the domains of Economics, Econometrics, and Finance, as well as Mathematics. Within these broader fields, their work is notably concentrated in subfields such as Statistics and Probability, Economics and Econometrics, Finance, General Economics, Econometrics and Finance, and Management Science and Operations Research.

The main topics investigated by Aman Ullah include Financial Risk and Volatility Modeling, Advanced Statistical Methods and Models, Monetary Policy and Economic Impact, Statistical Methods and Inference, Spatial and Panel Data Analysis, Complex Systems and Time Series Analysis, and SARS-CoV-2 and COVID-19 Research.

Recent publications by Aman Ullah cover a range of subjects with a focus on statistical modeling and applications to financial and health-related data. Among these works are:

  • Nonlinear Modal Regression for Dependent Data with Application for Predicting Covid-19, 2022, Journal of the Royal Statistical Society Series A (Statistics in Society)
  • Semiparametric partially linear varying coefficient modal regression, 2022, Journal of Econometrics

Other notable papers co-authored by or relevant to their field of work include:

  • An information-theoretic approach for forecasting interval-valued SP500 daily returns, 2020, International Journal of Forecasting
  • Nonparametric estimation of marginal effects in regression-spline random effects models, 2020, Econometric Reviews
  • Synergistic Impact of Internet of Things and Big-Data-Driven Supply Chain on Sustainable Firm Performance, 2024, Sustainability

Aman Ullah frequently collaborates with several researchers. The most common co-authors include Tae-Hwy Lee, Weixin Yao, Shahnaz Parsaeian, Yong Bao, and Justin Dang.

Their research has been published in various academic venues, with multiple contributions to Econometric Reviews, PLoS ONE, and Journal of Quantitative Economics. Other venues include International Journal of Forecasting and Journal of the Royal Statistical Society Series A (Statistics in Society).

Best Publications

  • A bias‐adjusted LM test of error cross‐section independence

    M. Hashem Pesaran;Aman Ullah;Takashi Yamagata

  • Nonparametric Econometrics

    Adrian Pagan;Aman Ullah

  • Handbook of applied economic statistics

    Eric R. Ziegel;Aman Ullah;David E. A. Giles

  • Competitive Firm and the Theory of Input Demand under Price Uncertainty

    Raveendra N. Batra;Aman Ullah

  • The Econometric Analysis of Models with Risk Terms

    Adrian Pagan;Aman Ullah

  • Recent Advances in Regression Methods

    P. Sprent;H. D. Vinod;A. Ullah

  • Entropy, divergence and distance measures with econometric applications

    Aman Ullah

  • Finite Sample Econometrics

    Aman Ullah

  • Profile likelihood estimation of partially linear panel data models with fixed effects

    Liangjun Su;Aman Ullah

  • Fractional Order Mathematical Modeling of COVID-19 Transmission.

    Shabir Ahmad;Aman Ullah;Qasem M. Al-Mdallal;Hasib Khan

  • The second-order bias and mean squared error of nonlinear estimators

    Paul Rilstone;V.K. Srivastava;Aman Ullah

  • On goodness-of-fit tests for weakly dependent processes using kernel method

    Yanqin Fan;Aman Ullah

  • Local polynomial estimation of nonparametric simultaneous equations models

    Liangjun Su;Aman Ullah

  • Bootstrap Aggregating and Random Forest

    Tae-Hwy Lee;Aman Ullah;Ran Wang

  • The second-order bias and mean squared error of estimators in time-series models

    Yong Bao;Aman Ullah

  • The coefficient of determination and its adjusted version in linear regression models

    Anil K. Srivastava;Virendra K. Srivastava;Aman Ullah

  • Mathematical analysis of SIRD model of COVID-19 with Caputo fractional derivative based on real data

    Kottakkaran Sooppy Nisar;Shabir Ahmad;Aman Ullah;Kamal Shah

  • A nonparametric random effects estimator

    Daniel J. Henderson;Aman Ullah

  • Uncertainty in Production and the Competitive Firm

    Ronald A. Ratti;Aman Ullah

  • On the Robustness of LM, LR and W Tests in Regression Models

    Aman Ullah;Victoria Zinde-Walsh

  • Handbook of empirical economics and finance

    Aman Ullah;David E. A. Giles

  • Recent Advances in Regression Methods.

    J. B. Copas;H. D. Vinod;A. Ullah

Frequent Co-Authors

Liangjun Su
Liangjun Su Tsinghua University
Jeffrey S. Racine
Jeffrey S. Racine McMaster University
Mardi Dungey
Mardi Dungey University of Tasmania
Jun Yu
Jun Yu Chinese University of Hong Kong
David E. A. Giles
David E. A. Giles University of Victoria
Peter C. B. Phillips
Peter C. B. Phillips Yale University
Adrian Pagan
Adrian Pagan University of Sydney
Madhu Khanna
Madhu Khanna University of Illinois at Urbana-Champaign
M. Hashem Pesaran
M. Hashem Pesaran University of Cambridge
Ronald A. Ratti
Ronald A. Ratti University of Missouri

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