Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 706 for “"panel data"”.
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Three applications using panel data
… to labour economics that utilise different Panel Datasets, assembled by the Author from public sources. The common Aim in all three studies is to determine whether the conclusions drawn from regression-based modelling would have been significantly different had standard estimators, as …
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Quantile Regression for Panel Data
… the problem, we employ the quantile regression panel methods. The analysis shows that the program impact is largest in the lower tail of the conditional educational attainment distribution. This was conjectured by the original authors, but could not be confirmed empirically using conventional …
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Essays on Large Panel Data Analysis
… and finance have attempted to utilize large panel data sets. Large panel data sets contain rich information on the dynamics of many cross-sectional units over long time periods. These data sets often consist of numerous series in different categories that reflect the multifaceted aspects of …
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Multivariate nonparametric estimation on censored panel data
… is computationally efficient for the large panel data analysis because it can avoid closed-form expressions for the density function. Monte Carlo experimental results indicate that these methods are quite attractive vis-a-vis the Heckman and Singer estimator.
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Estimation and inference with nonstationary panel data
… of unit-roots and cointegration to nonstationary panel data. The first three chapters set the scene for what follows and together are the first methodological core of the thesis, on nonstationary panel data estimation and testing.In chapter 1 we consider the established panel unit root tests of …
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Estimating peer effects in networked panel data
… under a set of exogeneity assumptions to the panel data case. With engagement data for Yahoo Go, a mobile application, we use the network topology of application users in an instrumental variables setup to estimate usage peer effects, comparing the performance of a variety of regression …
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Essays on time series and panel data econometrics
… consists of three essays on time series and panel data econometrics. The first essay considers the bootstrap method for the covariates augmented Dickey-Fuller (CADF) unit root test suggested by Hansen (1995). It is known that the CADF test is very powerful. However, its limit distribution …
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Essays in labor economics and panel data analysis
… results hold for many specifications and two datasets that have been used in the minimum wage-employment literature. A simulation shows that unobserved common factors can explain the different estimates seen across approaches in the literature.</p> <p>The second chapter studies whether there …
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Essays on Group Heterogeneity in Panel Data Models
… of group heterogeneity has become popular in panel data models. Instead of modeling heterogeneity via unit-specific coefficients, the cross-sectional units are assumed to cluster into groups, and within each group, units share the same coefficients. This thesis develops an econometric …
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Essays on Quantile Regression for Dynamic Panel Data Models
… quantile regression methods for dynamic panel data with fixed effects. We consider a penalized strategy designed to improve the properties of the dynamic panel data quantile regression instrumental variables estimator. The penalty involves l1 shrinkage of the fixed effects. We discuss a …
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Panel data analyses of urban economics and housing markets
… Market and Urban Economics literature with panel data- home sales and house price relationship, efficiency of housing market and commercial property taxation. For the first part, I examine the strong positive correlation that exists between the volume of housing sales and housing prices. I …
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High-Dimensional Statistics for Causal Inference and Panel Data
… new econometric tools for causal inference in panel data settings, with a focus on addressing key biases that arise in high-dimensional and dynamic environments. While this dissertation is motivated by the need to flexibly measure the economic impacts of climate change, the methods I develop …
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Quantifying the value in geoscientific information using panel data econometrics
A dataset of 25 metrics collected from the 10-Ks of 20 oil and gas operators was segregated into two panels: One with operators with a diversified business strategy (conventional group), and a second with operators focused on shale plays (unconventional group). Under the assumption that through …
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Panel data models with nonadditive unobserved heterogeneity : estimation and inference
… estimation and inference in linear and nonlinear panel data models with random coefficients and endogenous regressors. The quantities of interest - means, variances, and other moments of the random coefficients - are estimated by cross sectional sample moments of GMM estimators applied separately …
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Understanding the factors driving product searches : an analysis using panel data
… namely Shopee, Tokopedia, and Lazada using a panel data approach. This research analyzes the impact of organic and paid search strategies on organic traffic, which is an important driver for e-commerce performance. Utilizing data from 2019 to 2022, obtained from SEMrush, this study explores …
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Financial development, economic growth and income inequality: a panel data approach
… this paper tested empirically, within a panel data framework, the theoretical foundations of the linear relationship between financial development and income inequality developed by Galor and Zeira (1993) and Banerjee and Newman (1993). Moreover, the nonlinear theoretical relationship …
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Three essays on nonlinear panel data models and quantile regression analysis
… fixed effects estimators for nonlinear panel data models. The first chapter focuses on fixed effects maximum likelihood estimators for binary choice models, such as probit, logit, and linear probability model. These models are widely used in economics to analyze decisions such as labor …
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Latent Structure Estimation for Panel Data and Theoretical Guarantees for Stochastic Optimization
… correctness for the estimation of patterns from panel data. The remaining part of this work focuses on understanding the foundations of stochastic optimization from both statistical and computational aspects. Our work capitalizes on the cross-fertilization among statistics, machine learning, and …
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