Econometric analysis of production networks with dominant units
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Publication:2224893
DOI10.1016/j.jeconom.2020.03.014zbMath1464.62520OpenAlexW3121678902MaRDI QIDQ2224893
M. Hashem Pesaran, Cynthia Fan Yang
Publication date: 4 February 2021
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://www.cesifo.org/DocDL/cesifo1_wp6141.pdf
power lawspatial modelsoutdegreesUS economyaggregate fluctuationsinput-output tablesdegree of pervasivenessextremum estimatorstrongly and weakly dominant units
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Uses Software
Cites Work
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- Central limit theorems and uniform laws of large numbers for arrays of random fields
- A simple general approach to inference about the tail of a distribution
- R\&D and wholesale trade are critical to the economy: identifying dominant sectors from economic networks
- Aggregation in large dynamic panels
- The Network Origins of Aggregate Fluctuations
- Weak and strong cross‐section dependence and estimation of large panels
- The Granular Origins of Aggregate Fluctuations
- Power-Law Distributions in Empirical Data
- A One Covariate at a Time, Multiple Testing Approach to Variable Selection in High-Dimensional Linear Regression Models
- Econometric Analysis of High Dimensional VARs Featuring a Dominant Unit
- Rank − 1 / 2: A Simple Way to Improve the OLS Estimation of Tail Exponents
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