Impact of asset size on performance and outreach using panel quantile regression with non-additive fixed effects

2021 ◽  
Author(s):  
Sandra Kendo ◽  
Josephine Tchakounte
Keyword(s):  
Quantile Regression ◽  
Fixed Effects ◽  
Panel Quantile Regression ◽  
Asset Size

scholarly journals Cluster robust covariance matrix estimation in panel quantile regression with individual fixed effects

10.3982/qe802 ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 579-608
Author(s):  
Jungmo Yoon ◽  
Antonio F. Galvao
Keyword(s):  
Quantile Regression ◽  
Covariance Matrix ◽  
Fixed Effects ◽  
Asymptotic Properties ◽  
Bandwidth Selection ◽  
Temporal Correlation ◽  
Correction Method ◽  
Matrix Estimation ◽  
Panel Quantile Regression ◽  
Robust Tests

This study develops cluster robust inference methods for panel quantile regression (QR) models with individual fixed effects, allowing for temporal correlation within each individual. The conventional QR standard errors can seriously underestimate the uncertainty of estimators and, therefore, overestimate the significance of effects, when outcomes are serially correlated. Thus, we propose a clustered covariance matrix (CCM) estimator to solve this problem. The CCM estimator is an extension of the heteroskedasticity and autocorrelation consistent covariance matrix estimator for QR models with fixed effects. The autocovariance element in the CCM estimator can be substantially biased, due to the incidental parameter problem. Thus, we develop a bias‐correction method for the CCM estimator. We derive an optimal bandwidth formula that minimizes the asymptotic mean squared errors, and propose a data‐driven bandwidth selection rule. We also propose two cluster robust tests, and establish their asymptotic properties. We then illustrate the practical usefulness of the proposed methods using an empirical application.

scholarly journals Country of Origin Effects on the Average Annual Values of NHL Player Contracts

2019 ◽  
Vol 7 (2) ◽  
pp. 24
Author(s):  
Aju J. Fenn ◽  
Lucas Gerdes ◽  
Samuel Rothstein
Keyword(s):  
Quantile Regression ◽  
Fixed Effects ◽  
Country Of Origin ◽  
Large Datasets ◽  
National Hockey League ◽  
Dummy Variables ◽  
Country Of Origin Effects ◽  
Performance Statistics ◽  
Career Performance ◽  
Using Data

Using data from 2005 to 2016, this paper examines if players in the National Hockey League (NHL) are being paid a positive differential for their services due to the competition from the Kontinental Hockey League (KHL) and the Swedish Hockey League (SHL). In order to control for performance, we use two different large datasets, (N = 4046) and (N = 1717). In keeping with the existing literature, we use lagged performance statistics and dummy variables to control for the type of NHL contract. The first dataset contains lagged career performance statistics, while the performance statistics are based on the statistics generated during the years under the player’s previous contract. Fixed effects least squares (FELS) and quantile regression results suggest that player production statistics, contract status, and country of origin are significant determinants of NHL player salaries.

scholarly journals Open Innovation and Business Model of Health Food Industry in Asia

2021 ◽  
Vol 7 (3) ◽  
pp. 174
Author(s):  
Nathapornpan Piyaareekul Uttama
Keyword(s):  
Food Consumption ◽  
Digital Technology ◽  
Open Innovation ◽  
Fixed Effects ◽  
Market Development ◽  
Health And Wellness ◽  
Health Food ◽  
Health Trends ◽  
Panel Quantile Regression ◽  
Food Market

Health trends and digital technologies are of great significance for the health and wellness food market and its development in the future. This study examines whether health trends, digital technology, and market concentration influence health and wellness food consumption in the Asian market. Our analysis uses a panel dataset covering 14 Asian economies from the period 2006–2020 and a panel quantile regression technique with non-additive fixed effects. The results reveal that health trends and digital technology have positive and significant impacts on health and wellness food consumption, whereas the concentration of distribution channels has a negative and significant impact. These results also offer insights into each type of health and wellness food consumption, thereby contributing to the health and wellness food market development. Finally, this study suggests the health and wellness food business development through a consumer-driven open innovation strategy.

The Asymmetric Effects of Regional House Prices in the UK: New Evidence from Panel Quantile Regression Framework

2021 ◽  
pp. 232102222098054
Author(s):  
Panayiotis Tzeremes
Keyword(s):  
Private Sector ◽  
Quantile Regression ◽  
House Prices ◽  
Ripple Effect ◽  
The United Kingdom ◽  
Housing Starts ◽  
Panel Quantile Regression ◽  
Linear Behaviour ◽  
Significant Performance ◽  
The Uk

This study unfurls the non-linear behaviour of regional house prices in the United Kingdom by employing quarterly observations spanning the period 1992Q1–2017Q4. Our enquiry aims at examining UK house prices within a multivariable framework and, more specifically, by employing panel quantile regression with fixed effect. In brief, the empirical findings obtained from these methodologies indicate that the UK house prices are influenced at lower and upper quantiles, and that precisely they are influenced by variables such as income, private sector housing starts and employment. We highly support that there is a strong heterogeneity among UK regions and that asymmetry may be one of the keys of the ripple effect. Particularly, the income shows a positively significant performance at lower and higher regional house prices. Moreover, the variables private sector housing starts and employment rate are statistically significant for house prices. Leveraging for first-time panel quantile regression for the case of regional house prices in the UK, policymakers will have a profound understanding of regional house prices. JEL Classifications: C22, R21, R31

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