Results 281 to 290 of about 509,644 (312)

Regression Analysis of Panel Data

2020
In this chapter we will discuss the analysis of panel data. We start with a basic linear regression model, and then focus on both the fixed and random effects models with the required tests for random effects before modelling the suitable data. We also cover the Parks method for the AR(1) error structure. We include numerical examples to illustrate the
Timina Liu, Shuangzhe Liu, Lei Shi
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Efficient regression testing of multi-panel systems

Proceedings 10th International Symposium on Software Reliability Engineering (Cat. No.PR00443), 2003
Multi-panel systems are systems that interact with a user via multiple input panels. The flow through the panels is influenced by the interaction. Multi-panel systems are ubiquitous, and include panel-based legacy applications, automated teller machines, and Web-based systems.
Clay Williams, Amit M. Paradkar
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A Jackknife Variance Estimator for Panel Regressions

Staff Reports (Federal Reserve Bank of New York)
We introduce a new jackknife variance estimator for panel-data regressions. Our variance estimator can be motivated as the conventional leave-one-out jackknife variance estimator on a transformed space of the regressors and residuals using orthonormal trigonometric basis functions.
Crump, Richard K., Gospodinov, Nikolaj, Lopez Gaffney, Ignacio   +2 more
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Regression Parameter Estimation from Panel Counts

Scandinavian Journal of Statistics, 2003
This paper considers a study where each subject may experience multiple occurrences of an event and the rate of the event occurrences is of primary interest. Specifically, we are concerned with the situations where, for each subject, there are only records of the accumulated counts for the event occurrences at a finite number of time points over the ...
Hu, X. Joan, Sun, Jianguo, Wei, Lee-Jen
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Regression analysis for a semiparametric model with panel data

Statistics & Probability Letters, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sun, Liuquan, Zhou, Xian
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Panel Regression with Unobserved Classes [PDF]

, 2000
We propose a panel regression model with a predetermined and fixed number of classes, where each class is defined by its parameters, but any reference as to which group any observation belongs to is absent. The classes or groups are rationalized by a willingness to attribute some of the observed heterogeneity on a higher level than the individual.
Salabasis, Mickael, Villani, Mattias
openaire  

Predictive regressions with panel data

2005
This paper analyzes econometric inference in predictive regressions in a panel data setting. In a traditional time-series framework, estimation and testing are often made diffcult by the endogeneity and near persistence of many forecasting variables; tests of whether the dividend-price ratio predicts stock returns is a prototypical example. I show that,
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Spatial Panel Regression Models in Agriculture

2021
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How does technological innovation mitigate CO2 emissions in OECD countries? Heterogeneous analysis using panel quantile regression

Journal of Environmental Management, 2021
Xiaohang Ren, Kangyin Dong, Xiucheng Dong   +2 more
exaly  

Penalized quantile regression for spatial panel data with fixed effects

Communications in Statistics - Theory and Methods, 2023
Yuanqing Zhang
exaly