activity
20042023
most citedLocal Whittle estimation in nonstationary and unit root cases

245 citations · 338 across the 7 of their papers we have counts for

collaborators

7 papers

econ.EM2023★ 5 cited

Panel Data Models with Time-Varying Latent Group Structures

Yiren Wang, Peter C B Phillips, Liangjun Su

This paper considers a linear panel model with interactive fixed effects and unobserved individual and time heterogeneities that are captured by some latent group structures and an…

econ.EM2022★ 1 cited

The boosted HP filter is more general than you might think

Ziwei Mei, Peter C. B. Phillips, Zhentao Shi

The global financial crisis and Covid recession have renewed discussion concerning trend-cycle discovery in macroeconomic data, and boosting has recently upgraded the popular HP fi…

econ.EM2021★ 14 cited

Fully Modified Least Squares Cointegrating Parameter Estimation in Multicointegrated Systems

Igor L. Kheifets, Peter C. B. Phillips

Multicointegration is traditionally defined as a particular long run relationship among variables in a parametric vector autoregressive model that introduces additional cointegrati…

econ.EM2020★ 3 cited

Bootstrap Inference for Quantile Treatment Effects in Randomized Experiments with Matched Pairs

Liang Jiang, Xiaobin Liu, Peter C. B. Phillips +1

This paper examines methods of inference concerning quantile treatment effects (QTEs) in randomized experiments with matched-pairs designs (MPDs). Standard multiplier bootstrap inf…

econ.EM2019★ 2 cited

Boosting: Why You Can Use the HP Filter

Peter C. B. Phillips, Zhentao Shi

The Hodrick-Prescott (HP) filter is one of the most widely used econometric methods in applied macroeconomic research. Like all nonparametric methods, the HP filter depends critica…

math.ST2012★ 68 cited

A specification test for nonlinear nonstationary models

Qiying Wang, Peter C. B. Phillips

We provide a limit theory for a general class of kernel smoothed U-statistics that may be used for specification testing in time series regression with nonstationary data. The test…