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A Panel Data Toolbox for MATLAB
Journal of Statistical Software, 2017 Panel Data Toolbox is a new package for MATLAB that includes functions to estimate the main econometric methods of balanced and unbalanced panel data analysis.
Inmaculada C. Álvarez +2 more
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Gaussian Process Panel Modeling—Machine Learning Inspired Analysis of Longitudinal Panel Data
Frontiers in Psychology, 2020 In this article, we extend the Bayesian nonparametric regression method Gaussian Process Regression to the analysis of longitudinal panel data. We call this new approach Gaussian Process Panel Modeling (GPPM).
Julian D. Karch +4 more
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Quantile regression with panel data [PDF]
, 2015 We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data. Specifically, we extend the correlated random coefficients representation of linear quantile regression (e.g., Koenker, 2005; Section 2.6).
Bryan S. Graham +4 more
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Design-build of photovoltaic panel data logger pressure
Ilkom Jurnal Ilmiah, 2021 The scarcity of fossil fuel sources and the growing energy demand has resulted in more intensively searching for alternative energy. One alternative energy source that is suitable for the equatorial region is solar energy.
Maryantho Masarrang +4 more
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Inference on trending panel data [PDF]
Journal of Econometrics, 2018 Semiparametric panel data modelling and statistical inference with fractional stochastic trends, nonparametrically time-trending individual effects, and general cross-sectional correlation and heteroscedasticity in innovations are developed. The fractional stochastic trends allow for a wide range of nonstationarity, indexed by a memory parameter ...
Robinson, Peter, Velasco, Carlos
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Survey Research Methods, 2023 We investigate panel conditioning effects in a long-running probability-based online panel of the general population through a large-scale experiment conducted in 2020.
Carina Cornesse +5 more
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Dynamic Panel Data Models [PDF]
, 2015 This Chapter reviews the recent literature on dynamic panel data models with a short time span and a large cross-section. Throughout the discussion we considerlinear models with additional endogenous covariates. First we give a broad overview of available inference methods placing emphasis on GMM.
Bun, M.J.G., Sarafidis, V.
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FAKTOR-FAKTOR YANG MEMENGARUHI KETIMPANGAN PENDAPATAN DI JAWA TENGAH
JEJAK: Jurnal Ekonomi dan Kebijakan, 2015 Perhatian ekonom terhadap masalah ketimpangan sangatlah kurang. Kondisi ini juga dilakukan oleh lembaga dunia (Bank Dunia dan UNDP) terutama di bidang kemiskinan, serta pemerintah kita.
Rusli Abdulah
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SoftwareX, 2023 The World Bank Group’s GovData360 and TCdata360 platforms are widely employed in socio-economic research. The thousands of governance, trade, and competitiveness indicators they contain served as the basis for much research in the field of economic ...
Marcell T. Kurbucz
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Nonlinear models with panel data [PDF]
Portuguese Economic Journal, 2002 Panel data play an important role in empirical economics. With panel data one can answer questions about microeconomic dynamic behavior that could not be answered with cross sectional data. Panel data techniques are also useful for analyzing cross sectional data with grouping.
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