The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Initial conditions and moment restrictions in dynamic panel data models
Overview
Integrity signals
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Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
In the citing paper
“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)
In the citing paper
“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)
In the citing paper
“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)
In the citing paper
“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
In the citing paper
“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
In the citing paper
“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
In the citing paper
“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
Citations
Cites
Arellano, M., & Bond, S. (1991) · The Review of Economic Studies · doi:10.2307/2297968 · Cited by 33,272
Self-citationAnother look at the instrumental variable estimation of error-components models
Arellano, M., & Bover, O. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01642-d · Cited by 19,880
Large Sample Properties of Generalized Method of Moments Estimators
Hansen, L. P. (1982) · Econometrica · doi:10.2307/1912775 · Cited by 13,467
Biases in dynamic models with fixed effects
Nickell, S. (1981) · Econometrica · doi:10.2307/1911408 · Cited by 8,735
Instrumental Variables Regression with Weak Instruments
Staiger, D., & Stock, J. H. (1997) · Econometrica · doi:10.2307/2171753 · Cited by 7,081
Estimating Vector Autoregressions with Panel Data
Holtz‐Eakin, D., Newey, W. K., & Rosen, H. S. (1988) · Econometrica · doi:10.2307/1913103 · Cited by 4,187
Estimation of Dynamic Models with Error Components
Anderson, T. W., & Hsiao, C. (1981) · Journal of the American Statistical Association · doi:10.1080/01621459.1981.10477691 · Cited by 2,386
Efficient estimation of models for dynamic panel data
AHN, S. C., & Schmidt, P. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01641-c · Cited by 1,062
Asymptotic efficiency in estimation with conditional moment restrictions
Chamberlain, G. (1987) · Journal of Econometrics · doi:10.1016/0304-4076(87)90015-7 · Cited by 793
Estimating Dynamic Random Effects Models from Panel Data Covering Short Time Periods
Bhargava, A., & Sargan, J. D. (1983) · Econometrica · doi:10.2307/1912110 · Cited by 418
Research works printed but not linked: 2
- Hsiao, C., 1986, Analysis of Panel Data. Cambridge University Press, Cambridge.
- Nelson, 1990, The distribution of the instrumental variable estimator and itst-ratio when the instrument is a poor one, Journal of Business Economics and Statistics, 63, 5125
Cited by
Sorted by citations
How to do Xtabond2: An Introduction to Difference and System GMM in Stata
Roodman, D. (2009) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0900900106 · Cited by 9,848
A finite sample correction for the variance of linear efficient two-step GMM estimators
Windmeijer, F. A. G. (2004) · Journal of Econometrics · doi:10.1016/j.jeconom.2004.02.005 · Cited by 6,007
A Note on the Theme of Too Many Instruments *
Roodman, D. M. (2009) · Oxford Bulletin of Economics and Statistics · doi:10.1111/j.1468-0084.2008.00542.x · Cited by 5,894
Does corporate social responsibility affect the cost of capital?
El Ghoul, S., Guedhami, O., Kwok, C. C. Y., & Mishra, D. R. (2011) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2011.02.007 · Cited by 3,465
Endogeneity and the dynamics of internal corporate governance
Wintoki, M. B., Linck, J. S., & Netter, J. M. (2012) · Journal of Financial Economics · doi:10.1016/j.jfineco.2012.03.005 · Cited by 3,023
Metadata
- 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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