JSTOR Daily

Estimation of cost inefficiency in panel data models with firm specific and sub-company specific effects

This is a preview. Log in through your library . Abstract This paper proposes a dual-level inefficiency model for analysing datasets with a sub-company structure, which permits firm inefficiency to be ...
Pew Research Center

Using fixed and random effects models for panel data in Python

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Identifying causal relationships from observational data is not easy. Still, ...
JSTOR Daily

Specification Tests in Panel Data Models Using Artificial Regressions

No. 55/56, Économétrie des Données de Panel / Panel Data Econometrics (Sep. - Dec., 1999), pp. 277-297 (21 pages) This paper surveys some applications of artificial regressions including the ...
San Francisco Fed

Deep Neural Network Estimation in Panel Data Models

In this paper we study neural networks and their approximating power in panel data models. We provide asymptotic guarantees on deep feed-forward neural network estimation of the conditional mean, ...
Yahoo Finance

Global Panel Filters Market Analysis Report 2022: An $11.5+ Billion Market by 2030 - Increasing Penetration in Ionizers, Aircraft, Gas Turbines, Air Compressors

Dublin, Nov. 23, 2022 (GLOBE NEWSWIRE) -- The "Panel Filters Market Share, Size, Trends, Industry Analysis Report, By Type, By Application, By Region, Segment Forecast, 2022 - 2030" report has been ...