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Nonlinear Panel Data Models [PDF]
, 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
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RETRACTED: Foreign inflows, commercial law, and dutch disease: Evidence from developing economies
Frontiers in Environmental Science, 2022 It is commonly believed that developing markets require inflows of foreign capital to achieve their growth targets; however, recent research has shown that these inflows are either ineffective or even harmful to the economy.
Qiaoyun Guo +3 more
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Frontiers in Environmental Science, 2022 Considering diverse national contexts, there are differences in the capacity of countries in terms of their ability to attain sustainability in its three main dimensions.
Simona-Roxana Ulman +5 more
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DPB: Dynamic Panel Binary Data Models in gretl
Journal of Statistical Software, 2017 This paper presents the gretl function package DPB for estimating dynamic binary models with panel data. The package contains routines for the estimation of the randomeffects dynamic probit model proposed by Heckman (1981b) and its generalisation by ...
Riccardo Lucchetti, Claudia Pigini
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Panel Data Estimation for Correlated Random Coefficients Models
Econometrics, 2019 This paper considers methods of estimating a static correlated random coefficient model with panel data. We mainly focus on comparing two approaches of estimating unconditional mean of the coefficients for the correlated random coefficients models, the ...
Cheng Hsiao +3 more
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Identifying inter-seasonal drought characteristics using binary outcome panel data models
Geocarto International, 2023 This study mainly focuses on spatiotemporal and inter-seasonal meteorological drought characteristics. Random Effect Logistic Regression Model (RELRM) and Conditional Fixed Effect Logistic Regression Model (CFELRM) are used to identify the spatiotemporal
Rizwan Niaz +5 more
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Spatial Panel Data Models Using Stata [PDF]
SSRN 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
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Subset-Continuous-Updating GMM Estimators for Dynamic Panel Data Models
Econometrics, 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
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Panel Data, Local Cuts and Orthogeodesic Models [PDF]
Bernoulli, 2000 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jesper Christensen, Bent +1 more
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Generalized Estimators of Stationary Random-Coefficients Panel Data Models
Revstat 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
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