Initial conditions and moment restrictions in dynamic panel data models
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The regression is implemented using the dynamic panel estimator by Blundell and Bond (1998), which controls for endogenous prices and serially correlated error terms.
“We implement this regression using the dynamic panel estimator by Blundell and Bond ( 1998 ) , which controls for endogenous prices and serially correlated error terms.”
From Industry Compensation under Relocation Risk: A Firm-Level Analysis of the EU Emissions Trading Scheme (2014) · cites this paper as Blundell and Bond 1998
The System GMM approach is particularly suitable for this study because it addresses key econometric challenges such as endogeneity, unobserved heterogeneity, and measurement errors.
“the System GMM approach, as developed by Arellano and Bover (1995) and Blundell and Bond (1998), is particularly suitable for this study because it addresses key econometric challenges such as endogeneity, unobserved heterogeneity, and measurement errors.”
From Remittance–economic growth linkage in Africa: the roles of financial development and inflation (2025) · cites this paper as Blundell and Bond (1998)
The system-GMM employs lags of the endogenous regressor as internal instruments to mitigate potential endogeneity issues.
“Furthermore, it employs the lags of the endogenous regressor as internal instruments to mitigate any potential endogeneity issues that may develop because of the introduction of the lag dependent variable as part of the regressors.”
From The impact of financial development on economic growth in sub-Saharan Africa. Does institutional quality matter? (2023) · cites this paper as Blundell and Bond (1998)
The system-GMM estimator can handle panel data with small time (T) and large cross-sectional units (N).
“First, the system-GMM estimator can handle panel data with small time (T) and large cross-sectional units (N), such as T = 18 and N = 29 in this study.”
From The impact of financial development on economic growth in sub-Saharan Africa. Does institutional quality matter? (2023) · cites this paper as Blundell and Bond (1998)
The paper uses a dynamic panel SYS-GMM estimator, which allows control for potential endogeneity problems.
“Secondly, as estimation strategy, we use a dynamic panel systemgeneralised method of moments (SYS-GMM) estimator, which allows us to control for potential endogeneity problems.”
From Finance-growth nexus in sub-Saharan Africa (2021) · cites this paper as Blundell & Bond 1998
The dynamic panel system GMM estimator was chosen to control country-specific effects, autocorrelation, and simultaneity bias.
“This estimator, requiring a large number of cross-section units and a small number of time periods, was chosen in order to control: (1) country-specific effects, (2) autocorrelation problems, due to the presence of the lagged dependent variable in the model, and (3) simultaneity bias, caused by potential endogeneity of some of the explanatory variables.”
From Finance-growth nexus in sub-Saharan Africa (2021) · cites this paper as Blundell & Bond 1998
Dynamic panel GMM models have been widely used to address the endogeneity issue that arises in the estimation of growth regressions using panel data.
“These models have been widely used to address the endogeneity issue that arises in the estimation of growth regressions using panel data. (Arellano, 1995); (Blundell, R., and S. Bond, 1998).”
From Financial development and economic growth in Sub-Saharan Africa using system GMM analysis (2026) · cites this paper as Blundell, R., and S. Bond, 1998
The GMM models account for biases caused by country-specific effects or the presence of initial GDP in the growth covariates.
“They also account for biases caused by country-specific effects or the presence of initial GDP in the growth covariates.”
From Financial development and economic growth in Sub-Saharan Africa using system GMM analysis (2026) · cites this paper as Blundell, R., and S. Bond, 1998
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- Authors
- Blundell, R., & Bond, S.
- Affiliations
- Institute for Fiscal Studies (GB)
- Corresponding author
- Blundell, Richard
- Venue
- Journal of Econometrics
- Publisher
- Elsevier BV
- Published
- 1998-11
- Volume
- 87
- Issue
- 1
- Pages
- 115-143
- ISSN
- 0304-4076 (ISSN-L)
- OpenAlex
- W3121403162
- Cited by
- 22,571
- References
- 15
- Citations by year
- 2026: 2132 · 2025: 1885 · 2024: 1846 · 2023: 1912 · 2022: 1809 · 2021: 1742 · 2020: 1464 · 2019: 1283 · 2018: 1103 · 2017: 1080 · 2016: 967 · 2015: 851 · 2014: 742 · 2013: 632 · 2012: 650
- FWCI
- 52.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Econometrics (publishedVersion)
- Repository of Digital Objects for Teaching Research and Culture (University of Valencia) (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Keywords
- dynamic panel data, initial conditions, moment constraints, linear estimators, asymptotic efficiency, AR(1) model
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