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most citedHow to Detect Network Dependence in Latent Factor Models? A Bias-Corrected CD Test

13 citations · 14 across the 11 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

econ.EM2023

Variable Selection in High Dimensional Linear Regressions with Parameter Instability

Alexander Chudik, M. Hashem Pesaran, Mahrad Sharifvaghefi

This paper considers the problem of variable selection allowing for parameter instability. It distinguishes between signal and pseudo-signal variables that are correlated with the…

econ.EM2023

Pooled Bewley Estimator of Long Run Relationships in Dynamic Heterogenous Panels

Alexander Chudik, M. Hashem Pesaran, Ron P. Smith

Using a transformation of the autoregressive distributed lag model due to Bewley, a novel pooled Bewley (PB) estimator of long-run coefficients for dynamic panels with heterogeneou…

econ.GN2023

Causal effects of the Fed's large-scale asset purchases on firms' capital structure

Andrea Nocera, M. Hashem Pesaran

We investigate the short- and long-term impacts of the Federal Reserve's large-scale asset purchases (LSAPs) on non-financial firms' capital structure using a threshold panel ARDL…

econ.EM2023

Estimation of Average Effects in Short Heterogeneous Panels

M. Hashem Pesaran, Liying Yang

The commonly used two-way fixed effects estimator is biased under correlated heterogeneity and can lead to misleading inference. The mean group estimator proposed by \cite{PesaranS…

econ.EM2023

Structural Econometric Estimation of the Basic Reproduction Number for Covid-19 Across U.S. States and Selected Countries

Ida Johnsson, M. Hashem Pesaran, Cynthia Fan Yang

This paper proposes a structural econometric approach to estimating the basic reproduction number () of Covid-19. This approach identifies in a p…

econ.EM2023

Heterogeneous Autoregressions in Short T Panel Data Models

M. Hashem Pesaran, Liying Yang

This paper considers a first-order autoregressive panel data model with individual-specific effects and heterogeneous autoregressive coefficients defined on the interval (-1,1], th…

econ.EM2023

Identification and Estimation of Categorical Random Coefficient Models

Zhan Gao, M. Hashem Pesaran

This paper proposes a linear categorical random coefficient model, in which the random coefficients follow parametric categorical distributions. The distributional parameters are i…