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Pierre Perron

Pierre Perron

· Professor

Boston University · Economics

Active 1984–2025

h-index72
Citations73.2k
Papers36646 last 5y
Funding$216k

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Pierre Perron is a Professor in the Department of Economics at Boston University. The page primarily lists his PhD students, their advisors, and committee members, but does not provide specific details about his research focus, background, or key contributions. Therefore, there is no additional biographical or research information available on this page.

Research topics

  • Computer Science
  • Oceanography
  • Economics
  • Environmental science
  • Climatology
  • Atmospheric sciences
  • Geology
  • Statistics
  • Geography
  • Econometrics

Selected publications

  • Spatial variations in the warming trend and the transition to more severe weather in midlatitudes

    Scientific Reports · 2021 · 40 citations

    Senior authorCorresponding

    Due to various feedback processes called Arctic amplification, the high-latitudes' response to increases in radiative forcing is much larger than elsewhere in the world, with a warming more than twice the global average. Since the 1990's, this rapid warming of the Arctic was accompanied by no-warming or cooling over midlatitudes in the Northern Hemisphere in winter (the hiatus). The decrease in the thermal contrast between Arctic and midlatitudes has been connected to extreme weather events in m…

  • Anthropogenic influence on extremes and risk hotspots

    Scientific Reports · 2023-01-02 · 35 citations

    articleOpen access

    Study of the frequency and magnitude of climate extremes as the world warms is of utmost importance, especially separating the influence of natural and anthropogenic forcing factors. Record-breaking temperature and precipitation events have been studied using event-attribution techniques. Here, we provide spatial and temporal observation-based analyses of the role of natural and anthropogenic factors, using state-of-the-art time series methods. We show that the risk from extreme temperature and…

  • Testing jointly for structural changes in the error variance and coefficients of a linear regression model

    Quantitative Economics · 2020 · 34 citations

    1st authorCorresponding

    We provide a comprehensive treatment for the problem of testing jointly for structural changes in both the regression coefficients and the variance of the errors in a single equation system involving stationary regressors. Our framework is quite general in that we allow for general mixing‐type regressors and the assumptions on the errors are quite mild. Their distribution can be nonnormal and conditional heteroskedasticity is permitted. Extensions to the case with serially correlated errors are…

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

    Annals of the New York Academy of Sciences · 2021-09-16 · 30 citations

    articleOpen accessSenior author

    Large cities account for a significant share of national population and wealth, and exert high pressure on local and regional resources, exacerbating socioenvironmental risks. The replacement of natural landscapes with higher heat capacity materials because of urbanization and anthropogenic waste heat are some of the factors contributing to local climate change caused by the urban heat island (UHI) effect. Because of synergistic effects, local climate change can exacerbate the impacts of global…

  • THEORY OF LOW FREQUENCY CONTAMINATION FROM NONSTATIONARITY AND MISSPECIFICATION: CONSEQUENCES FOR HAR INFERENCE

    Econometric Theory · 2024-12-27 · 11 citations

    articleOpen accessSenior authorCorresponding

    We establish theoretical results about the low frequency contamination (i.e., long memory effects) induced by general nonstationarity for estimates such as the sample autocovariance and the periodogram, and deduce consequences for heteroskedasticity and autocorrelation robust (HAR) inference. We present explicit expressions for the asymptotic bias of these estimates. We show theoretically that nonparametric smoothing over time is robust to low frequency contamination. Nonstationarity can have co…

Recent grants

Frequent coauthors

  • Francisco Estrada

    Vrije Universiteit Amsterdam

    41 shared
  • Alessandro Casini

    University of Rome Tor Vergata

    32 shared
  • Zhongjun Qu

    31 shared
  • Yohei Yamamoto

    Hitotsubashi University

    29 shared
  • Serena Ng

    Columbia University

    24 shared
  • Mohitosh Kejriwal

    22 shared
  • Dukpa Kim

    16 shared
  • Tomoyoshi Yabu

    Keio University

    14 shared

Labs

  • Pierre Perron LabPI

Education

  • Ph.D.

    Yale University

Awards & honors

  • Fellow of the Econometric Society
  • Fellow of the Journal of Econometrics
  • Fellow of the International Association for Applied Economet…

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