Pierre Perron

Pierre Perron

Boston University

H-index: 61

North America-United States

About Pierre Perron

Pierre Perron, With an exceptional h-index of 61 and a recent h-index of 38 (since 2020), a distinguished researcher at Boston University, specializes in the field of Econometrics, Time Series Econometrics, Economics, Statistics, Time Series Analysis.

His recent articles reflect a diverse array of research interests and contributions to the field:

Inference on conditional quantile processes in partially linear models with applications to the impact of unemployment benefits

On the persistence of near‐surface temperature dynamics in a warming world

Forecasting in the presence of in-sample and out-of-sample breaks

Simultaneous bandwidths determination for DK-HAC estimators and long-run variance estimation in nonparametric settings

Supplement to “Simultaneous Bandwidths Determination for DK-HAC Estimators and Long-Run Variance Estimation in Nonparametric Settings”

Anthropogenic influence on extremes and risk hotspots

Generalized Laplace inference in multiple change-points models

Robust testing of time trend and mean with unknown integration order errors

Pierre Perron Information

University

Position

Department of Economics

Citations(all)

87424

Citations(since 2020)

24071

Cited By

72071

hIndex(all)

61

hIndex(since 2020)

38

i10Index(all)

117

i10Index(since 2020)

87

Email

University Profile Page

Boston University

Google Scholar

View Google Scholar Profile

Pierre Perron Skills & Research Interests

Econometrics

Time Series Econometrics

Economics

Statistics

Time Series Analysis

Top articles of Pierre Perron

Title

Journal

Author(s)

Publication Date

Inference on conditional quantile processes in partially linear models with applications to the impact of unemployment benefits

Review of Economics and Statistics

Zhongjun Qu

Jungmo Yoon

Pierre Perron

2024/3/19

On the persistence of near‐surface temperature dynamics in a warming world

Annals of the New York Academy of Sciences

Francisco Estrada

Pierre Perron

Yohei Yamamoto

2024/1

Forecasting in the presence of in-sample and out-of-sample breaks

Empirical Economics

Jiawen Xu

Pierre Perron

2023/6

Simultaneous bandwidths determination for DK-HAC estimators and long-run variance estimation in nonparametric settings

Econometric Reviews

Federico Belotti

Alessandro Casini

Leopoldo Catania

Stefano Grassi

Pierre Perron

2023/2/7

Supplement to “Simultaneous Bandwidths Determination for DK-HAC Estimators and Long-Run Variance Estimation in Nonparametric Settings”

Federico Belotti

Alessandro Casini

Leopoldo Catania

Stefano Grassi

Pierre Perron

2023/1/18

Anthropogenic influence on extremes and risk hotspots

Scientific Reports

Francisco Estrada

Pierre Perron

Yohei Yamamoto

2023/1/2

Generalized Laplace inference in multiple change-points models

Econometric Theory

Alessandro Casini

Pierre Perron

2022/2

Robust testing of time trend and mean with unknown integration order errors

Journal of Statistical Computation and Simulation

Seong Yeon Chang

Pierre Perron

Jiawen Xu

2022/11/22

Structural change tests under heteroskedasticity: Joint estimation versus two‐steps methods

Journal of Time Series Analysis, 43, 389-411

Pierre Perron

Yohei Yamamoto

2022

Feasible GLS for Time Series Regression

Manuscript, Department of Economics, Boston University

Pierre Perron

E González-Coya

2022/11/4

Estimation in the Presence of Heteroskedasticty of Unknown Form: A Lasso-based Approach

Emilio González-Coya

Pierre Perron

2022/3/14

A two‐step procedure for testing partial parameter stability in cointegrated regression models

Journal of Time Series Analysis

Mohitosh Kejriwal

Pierre Perron

Xuewen Yu

2022/3

The great moderation: updated evidence with joint tests for multiple structural changes in variance and persistence

Empirical Economics

Pierre Perron

Yohei Yamamoto

2022/3

Testing for changes in forecasting performance

Journal of Business & Economic Statistics

Pierre Perron

Yohei Yamamoto

2021/1/2

Prewhitened long-run variance estimation robust to nonstationarity

arXiv preprint arXiv:2103.02235

Alessandro Casini

Pierre Perron

2021/3/3

Theory of low frequency contamination from nonstationarity and misspecification: consequences for HAR inference

arXiv preprint arXiv:2103.01604

Alessandro Casini

Taosong Deng

Pierre Perron

2021/3/2

Disentangling the trend in the warming of urban areas into global and local factors

Annals of the New York Academy of Sciences

Francisco Estrada

Pierre Perron

2021/11

Anthropogenic influence in observed regional warming trends and the implied social time of emergence

Communications Earth & Environment

Francisco Estrada

Dukpa Kim

Pierre Perron

2021/2/12

Continuous record Laplace-based inference about the break date in structural change models

Journal of econometrics

Alessandro Casini

Pierre Perron

2021/9/1

Conditions for OLS and GLS to be Consistent in Models with Serially Correlated Errors

Pierre Perron

2021/2/5

See List of Professors in Pierre Perron University(Boston University)

Co-Authors

H-index: 96
John Y. Campbell

John Y. Campbell

Harvard University

H-index: 59
Jushan Bai

Jushan Bai

Columbia University in the City of New York

H-index: 57
Serena Ng

Serena Ng

Columbia University in the City of New York

H-index: 35
Rene Garcia

Rene Garcia

Université de Montréal

H-index: 31
Marcio G.P. Garcia

Marcio G.P. Garcia

Pontifícia Universidade Católica do Rio de Janeiro

H-index: 24
Gabriel Rodríguez

Gabriel Rodríguez

Pontificia Universidad Católica del Perú

academic-engine