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Incidental Parameters, Initial Conditions and Sample Size in Statistical Inference for Dynamic Panel Data Models

Hsiao, Cheng - 2018

cross-section dimension N and the time series dimension T on the asymptotic properties of estimators for dynamic panel data …

Persistent link: https://www.econbiz.de/10012921781

Uniform Quasi ML Based Inference for the Panel AR(1) Model

Kruiniger, Hugo - 2018

This paper proposes new inference methods for panel AR models with arbitrary initial conditions and heteroskedasticity …

Persistent link: https://www.econbiz.de/10012912718

Way off: the effect of minimum distance regulation on the deployment and cost of wind power

Stede, Jan Patrick; Blauert, Marc; May, Nils - 2021

With the expansion of onshore wind power, countries increasingly consider the introduction of minimum distance regulations between wind turbines to nearby residential areas, to increase public acceptance. In 2014, the German federal state of Bavaria introduced a minimum distance regulation that...

Persistent link: https://www.econbiz.de/10012793225

Does renaming promote economic development? : new evidence from a city-renaming reform experiment in China

Guo, Jing; Zhang, Zhengyu - In: China economic review : an international journal 57 (2019), pp. 1-27

Persistent link: https://www.econbiz.de/10012317808

The issue of endogeneity and possible solutions in panel data analysis in the hospitality literature

Park, Sungbeen; Song, Sujin; Lee, Seoki - In: Journal of hospitality & tourism research : JHTR ; the … 45 (2021) 2, pp. 399-418

Persistent link: https://www.econbiz.de/10012426155

Estimation and inference for multi-dimensional heterogeneous panel datasets with hierarchical multi-factor error structure

Kapetanios, George; Serlenga, Laura; Shin, Yongcheol - In: Journal of econometrics 220 (2021) 2, pp. 504-531

Persistent link: https://www.econbiz.de/10012618527

Difference-in-differences inference with few treated clusters

MacKinnon, James G.; Webb, Matthew - 2016

Inference using difference-in-differences with clustered data requires care. Previous research has shown that t tests based on a cluster-robust variance estimator (CRVE) severely over-reject when there are few treated clusters, that different variants of the wild cluster bootstrap can...

Persistent link: https://www.econbiz.de/10011428007

Estimation and Inference in Panel Structure Models

Sun, Yixiao - 2005

This paper proposes and implements a tractable approach to detect group structure in panel data. The mechanism works by … means of a panel structure model, which assumes that individuals form a number of homogeneous groups in a heterogeneous …

Persistent link: https://www.econbiz.de/10014062621

Semiparametric Bayesian Inference in Autoregressive Panel Data Models

Hirano, Keisuke - 2002

This paper develops semiparametric Bayesian methods for inference in dynamic linear panel data models, and applies them … to longitudinal data on labor earnings from the Panel Study of Income Dynamics. We focus on characterizing not only … inference in semiparametric panel data models must solve a nonparametric deconvolution problem arising from the existence of …

Persistent link: https://www.econbiz.de/10014116320

Robust inference in panel data microeconometrics, using R

Millo, Giovanni - In: Handbook of research methods and applications in …, (pp. 564-595). 2021

Persistent link: https://www.econbiz.de/10013166130