Results 21 to 30 of about 954,686 (310)

Spatial Panel Data Models Using Stata [PDF]

open access: yesSSRN Electronic Journal, 2016
xsmle is a new user-written command for spatial analysis. We consider the quasi–maximum likelihood estimation of a wide set of both fixed- and random-effects spatial models for balanced panel data. xsmle allows users to handle unbalanced panels using its full compatibility with the mi suite of commands, use spatial weight matrices in the form of both ...
BELOTTI, FEDERICO   +2 more
openaire   +3 more sources

Nonlinear Panel Data Models [PDF]

open access: yes, 2008
Panel or longitudinal data are becoming increasingly popular in applied work as they offer a number of advantages over pure cross-sectional or pure time-series data. A particularly useful feature is that they allow researchers to model unobserved heterogeneity at the level of the observational unit, where the latter may be an individual, a household, a
openaire   +2 more sources

Subset-Continuous-Updating GMM Estimators for Dynamic Panel Data Models

open access: yesEconometrics, 2016
The two-step GMM estimators of Arellano and Bond (1991) and Blundell and Bond (1998) for dynamic panel data models have been widely used in empirical work; however, neither of them performs well in small samples with weak instruments.
Richard A. Ashley, Xiaojin Sun
doaj   +1 more source

Generalized Estimators of Stationary Random-Coefficients Panel Data Models

open access: yesRevstat Statistical Journal, 2019
This article provides generalized estimators for the random-coefficients panel data (RCPD) model where the errors are cross-sectional heteroskedastic and contemporaneously correlated as well as with the first-order autocorrelation of the time series ...
Mohamed Reda Abonazel
doaj   +1 more source

Aggregation in Linear Models for Panel Data

open access: yesJOURNAL OF THE JAPAN STATISTICAL SOCIETY, 2009
We study the impact of individual and temporal aggregation in linear static and dynamic models for panel data in terms of model specification and efficiency of the estimated parameters. Model wise we find that i) individual aggregation does not affect the model structure but temporal aggregation may introduce residual autocorrelation, and ii ...
Petkovic, Alexandre, Veredas, David
openaire   +4 more sources

Projection Estimators for Autoregressive Panel Data Models [PDF]

open access: yesSSRN Electronic Journal, 2001
Summary: We explore a new approach to estimation for autoregressive panel data models, based on projecting the unobserved individual effects on the vector of observations on the lagged dependent variable. This approach yields estimators which coincide with known generalized method of moments estimators for models where stationarity is not imposed on ...
Bond, S, Windmeijer, F
openaire   +4 more sources

Selecting Model in Fixed and Random Panel Data Models [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2012
تم استخدام نماذج البيانات الطولية وكيفية الاختيار في توفيق نماذج البيانات الطولية الثلاثة، نموذج الانحدار التجميعي ونموذج التأثيرات الثابتة ونموذج التاثيرات العشوائية. تم الاعتماد على معيار معامل التحديد المصحح ومعيار اكاكي للمعلومات في اختيار افضل نموذج
doaj   +1 more source

Panel Data, Local Cuts and Orthogeodesic Models [PDF]

open access: yesBernoulli, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jesper Christensen, Bent   +1 more
openaire   +2 more sources

Panel data models for regional development [PDF]

open access: yesUrbanism. Arhitectura. Constructii, 2015
One of the goals of the national development policy is to support the sustainable economic and social growth of regions territorially balanced in Romania in order to reduce economic and social disparities among regions.
Sorin Daniel Manole, Antonio Tache
doaj  

The Specification of Dynamic Discrete-Time Two-State Panel Data Models

open access: yesEconometrics, 2018
This paper compares two approaches to analyzing longitudinal discrete-time binary outcomes. Dynamic binary response models focus on state occupancy and typically specify low-order Markovian state dependence.
Tue Gørgens, Dean Robert Hyslop
doaj   +1 more source

Home - About - Disclaimer - Privacy