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
Registry
Cites
Statistics
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
Items 901–1,000 of 1,046
Can Pay Regulation Kill? Panel Data Evidence on the Effect of Labor Markets on Hospital Performance
Propper, C., & Reenen, J. M. V. (2010) · Journal of Political Economy · doi:10.1086/653137 · Cited by 175
Rescue packages and bank lending
Brei, M., Gambacorta, L., & von Peter, G. (2012) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2012.09.010 · Cited by 174
Lamin, A. (2012) · Academy of Management Journal · doi:10.5465/amj.2011.0176 · Cited by 174
Technological change and employment: is Europe ready for the challenge?
Piva, M., & Vivarelli, M. (2018) · Eurasian economic review : · doi:10.1007/s40821-017-0100-x · Cited by 174
ICT and the Demand for Energy: Evidence from OECD Countries
Schulte, P., Welsch, H., & Rexhäuser, S. (2016) · Environmental and Resource Economics · doi:10.1007/s10640-014-9844-2 · Cited by 175
Performance of domestic and cross-border acquisitions: Empirical evidence from Russian acquirers
Bertrand, O., & Betschinger, M. (2011) · Journal of Comparative Economics · doi:10.1016/j.jce.2011.11.003 · Cited by 173
Abid, L., Ouertani, M. N., & Zouari-Ghorbel, S. (2014) · Procedia Economics and Finance · doi:10.1016/s2212-5671(14)00430-4 · Cited by 173
Bank size or distance: what hampers innovation adoption by SMEs?
Alessandrini, P., Presbitero, A., & Zazzaro, A. (2009) · Journal of Economic Geography · doi:10.1093/jeg/lbp055 · Cited by 173
Do patent rights matter? 40 years of innovation, complexity and productivity
Sweet, C., & Eterovic, D. S. (2018) · World Development · doi:10.1016/j.worlddev.2018.10.009 · Cited by 173
The impact of renewable energy consumption on income inequality: Evidence from developed countries
Topçu, M., & Tuğcu, C. T. (2019) · Renewable Energy · doi:10.1016/j.renene.2019.11.103 · Cited by 173
The Impact of Digital Transformation on Performance: Evidence from Vietnamese Commercial Banks
Do, D. T., An, P. T. H., Thalassinos, E. I., & Le, H. A. (2022) · Journal of risk and financial management · doi:10.3390/jrfm15010021 · Cited by 173
Natural disasters, migration and education: an empirical analysis in developing countries
Drabo, A., & Mbaye, L. M. (2014) · Environment and Development Economics · doi:10.1017/s1355770x14000606 · Cited by 172
Hartwig, J. (2009) · Journal of Macroeconomics · doi:10.1016/j.jmacro.2009.06.003 · Cited by 172
The Economic Origins of Democracy Reconsidered
Freeman, J. R., & Quinn, D. P. (2012) · American Political Science Review · doi:10.1017/s0003055411000505 · Cited by 175
The effect of renewable and nonrenewable electricity generation on economic growth
Atems, B., & Hotaling, C. (2017) · Energy Policy · doi:10.1016/j.enpol.2017.10.015 · Cited by 172
Economic complexity, human capital and income inequality: a cross-country analysis
Lee, K., & Vu, T. V. (2019) · Japanese Economic Review · doi:10.1007/s42973-019-00026-7 · Cited by 174
Determinants of Corporate Capital Structure: Evidence from European CountriesPreprint
Antoniou, A., Gűney, Y., & Paudyal, K. (2002) · SSRN Electronic Journal · doi:10.2139/ssrn.302833 · Cited by 172
The Role of Trading Frictions in Real Asset Markets
Gavazza, A. (2011) · American Economic Review · doi:10.1257/aer.101.4.1106 · Cited by 171
Evaluating the impact of social media activities on human brand sales
Saboo, A. R., Kumar, V., & Ramani, G. (2015) · International Journal of Research in Marketing · doi:10.1016/j.ijresmar.2015.02.007 · Cited by 171
Does Poverty Cause Environmental Degradation? Evidence from Developing Countries
Masron, T. A., & Subramaniam, Y. (2018) · Journal of Poverty · doi:10.1080/10875549.2018.1500969 · Cited by 175
The environmental impacts of financial development in OECD countries: a panel GMM approach
Ganda, F. (2019) · Environmental Science and Pollution Research · doi:10.1007/s11356-019-04143-z · Cited by 171
An environmental impact assessment of fossil fuel subsidies in emerging and developing economies
Solarin, S. A. (2020) · Environmental Impact Assessment Review · doi:10.1016/j.eiar.2020.106443 · Cited by 171
Du, J., Ali, K., Alnori, F., & Ullah, S. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-19763-1 · Cited by 171
Income and democracy: Evidence from system GMM estimates
Heid, B., Langer, J., & Larch, M. (2012) · Economics Letters · doi:10.1016/j.econlet.2012.02.009 · Cited by 170
Can Value-Added Measures of Teacher Performance Be Trusted?
Guarino, C. M., Reckase, M. D., & Wooldridge, J. M. (2014) · Education Finance and Policy · doi:10.1162/edfp_a_00153 · Cited by 170
Corporate Social Responsibility in a Competitive Business Environment
Newman, C., Rand, J., Tarp, F., & Trifković, N. (2020) · The Journal of Development Studies · doi:10.1080/00220388.2019.1694144 · Cited by 184
The Price Elasticity of Electricity Demand in the United States: A Three-Dimensional Analysis
Burke, P. J., & Abayasekara, A. (2017) · The Energy Journal · doi:10.5547/01956574.39.2.pbur · Cited by 170
Berk, İ., Kasman, A., & Kılınç, D. (2018) · Energy Economics · doi:10.1016/j.eneco.2018.02.013 · Cited by 170
Poirson, H., RICCI, L. A., & Pattillo, C. (2002) · IMF Working Paper · doi:10.5089/9781451849073.001 · Cited by 170
Rahi, A. F., Akter, R., & Johansson, J. (2021) · Accounting Research Journal · doi:10.1108/arj-12-2020-0373 · Cited by 226
The long-run determinants of fertility: one century of demographic change 1900–1999
Herzer, D., Strulik, H., & Vollmer, S. (2012) · Journal of Economic Growth · doi:10.1007/s10887-012-9085-6 · Cited by 170
A Note on the Use of Survey Research Firms to Enable Empirical Data Collection
Schoenherr, T., Ellram, L. M., & Tate, W. L. (2015) · Journal of Business Logistics · doi:10.1111/jbl.12092 · Cited by 169
Incentive regulation and investment: evidence from European energy utilities
Cambini, C., & Rondi, L. (2009) · Journal of Regulatory Economics · doi:10.1007/s11149-009-9111-6 · Cited by 169
Ports and regional development: A spatial analysis on a panel of European regions
Bottasso, A., Conti, M., Ferrari, C., & Tei, A. (2014) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2014.04.006 · Cited by 169
Liu, X., & Zou, H. (2007) · Journal of World Business · doi:10.1016/j.jwb.2007.11.004 · Cited by 169
On the nonlinear relationship between inflation and economic growth
Eggoh, J. C., & Khan, M. (2014) · Research in Economics · doi:10.1016/j.rie.2014.01.001 · Cited by 169
Board characteristics and firm performance in public founder- and nonfounder-led family businesses
García‐Ramos, R., & Olalla, M. G. (2011) · Journal of Family Business Strategy · doi:10.1016/j.jfbs.2011.09.001 · Cited by 169
The Contest to the Control in European Family Firms: How Other Shareholders Affect Firm Value
Jara‐Bertín, M., López‐Iturriaga, F. J., & López‐de‐Foronda, Ó. (2008) · Corporate Governance An International Review · doi:10.1111/j.1467-8683.2008.00677.x · Cited by 169
Clément, J., Shipilov, A. V., & Galunic, C. D. (2017) · Administrative Science Quarterly · doi:10.1177/0001839217708984 · Cited by 169
Alqahtani, F., & Mayes, D. G. (2018) · Economic Systems · doi:10.1016/j.ecosys.2017.09.001 · Cited by 169
Exchange Rate Volatility and Economic Growth
Barguellil, A., Ben‐Salha, O., & Zmami, M. (2018) · Journal of Economic Integration · doi:10.11130/jei.2018.33.2.1302 · Cited by 169
Abdelkader, M., Gao, Y., & Elamer, A. A. (2024) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2024.140728 · Cited by 183
The Source of Productivity Growth in Dutch Agriculture: A Perspective from Finance
Guan, Z., & Lansink, A. O. (2006) · American Journal of Agricultural Economics · doi:10.1111/j.1467-8276.2006.00885.x · Cited by 169
Mangena, M., Tauringana, V., & Chamisa, E. (2011) · British Journal of Management · doi:10.1111/j.1467-8551.2011.00804.x · Cited by 168
Institutions, human capital, and growth: The institutional mechanism
Dias, J., & Tebaldi, E. (2012) · Structural Change and Economic Dynamics · doi:10.1016/j.strueco.2012.04.003 · Cited by 168
Integration and efficiency convergence in EU banking markets
Casu, B., & Girardone, C. (2009) · Omega · doi:10.1016/j.omega.2009.08.004 · Cited by 168
Estimating Dynamic Panel Data Models in Political Science
Wawro, G. J. (2002) · Political Analysis · doi:10.1093/pan/10.1.25 · Cited by 168
Governance, efficiency and risk taking in Chinese banking
Dong, Y., Girardone, C., & Kuo, J. (2016) · The British Accounting Review · doi:10.1016/j.bar.2016.08.001 · Cited by 168
Twerefou, D. K., Danso-Mensah, K., & Bokpin, G. A. (2017) · Research in International Business and Finance · doi:10.1016/j.ribaf.2017.07.028 · Cited by 168
Bank Regulations and Income Inequality: Empirical Evidence
Delis, M. D., Hasan, I., & Kazakis, P. (2014) · Review of Finance · doi:10.1093/rof/rft039 · Cited by 167
Valuing University–Based Firms: The Effects of Academic Affiliation on IPO Performance
Bonardo, D., Paleari, S., & Silvio Vismara, A. (2010) · Entrepreneurship Theory and Practice · doi:10.1111/j.1540-6520.2010.00369.x · Cited by 167
Firm Performance and Women on the Board: Evidence from Spanish Small and Medium-Sized Enterprises
Martín‐Ugedo, J. F., & Mínguez‐Vera, A. (2014) · Feminist Economics · doi:10.1080/13545701.2014.895404 · Cited by 167
Nunes, P. M., Serrasqueiro, Z., & Leitão, J. C. C. (2011) · Research Policy · doi:10.1016/j.respol.2011.08.011 · Cited by 167
Bardhan, I. R., Krishnan, V., & Lin, S. (2013) · Information Systems Research · doi:10.1287/isre.2013.0481 · Cited by 167
The Impact of Bilateral Investment Treaties on FDI Dynamics
Egger, P. H., & Merlo, V. (2007) · World Economy · doi:10.1111/j.1467-9701.2007.01063.x · Cited by 167
Institutional Quality and Financial Development: Evidence from Developing and Emerging Economies
Khan, H., Khan, S. B. A. L., & Fan, Z. (2020) · Global Business Review · doi:10.1177/0972150919892366 · Cited by 167
Regulatory reforms and productivity: An empirical analysis of the Japanese electricity industry
Nakano, M., & Managi, S. (2007) · Energy Policy · doi:10.1016/j.enpol.2007.09.003 · Cited by 166
The natural resources rents: Is economic complexity a solution for resource curse?
Nguyen, C. P., Schınckus, C., & Su, T. D. (2020) · Resources Policy · doi:10.1016/j.resourpol.2020.101800 · Cited by 166
Higher education and economic growth: A longitudinal study of European regions 2000–2017
Agasisti, T., & Bertoletti, A. (2020) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2020.100940 · Cited by 166
Leverage dynamics over the business cycle
Halling, M., Yu, J., & Josef Zechner, B. (2016) · Journal of Financial Economics · doi:10.1016/j.jfineco.2016.07.001 · Cited by 166
Corporate Governance and Innovation
O'Connor, M. L., & Rafferty, M. (2012) · Journal of Financial and Quantitative Analysis · doi:10.1017/s002210901200004x · Cited by 166
Din, S. U., Khan, M. A., Khan, M. J., & Khan, M. Y. (2021) · International Journal of Emerging Markets · doi:10.1108/ijoem-03-2019-0220 · Cited by 166
Li, J., Dong, K. Y., & Dong, X. (2022) · Energy Economics · doi:10.1016/j.eneco.2022.106260 · Cited by 166
Technological unemployment in industrial countries
Feldmann, H. (2013) · Journal of Evolutionary Economics · doi:10.1007/s00191-013-0308-6 · Cited by 165
Productivity Spillovers Across Firms through Worker Mobility
Stoyanov, A., & Zubanov, N. (2012) · American Economic Journal Applied Economics · doi:10.1257/app.4.2.168 · Cited by 165
Industrialization as driver of sustainable economic growth in Africa
Opoku, E. E. O., & Yan, I. K. (2018) · Journal of International Trade & Economic Development · doi:10.1080/09638199.2018.1483416 · Cited by 165
Alshubiri, F., Jamil, S. A., & Elheddad, M. (2019) · International Journal of Engineering Business Management · doi:10.1177/1847979019870670 · Cited by 165
Lin, X., Zhao, Y., Ahmad, M., Ahmed, Z., Rjoub, H., & Adebayo, T. S. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18168503 · Cited by 165
Estimating the effect of the Internet on international trade
Lin, F. (2014) · Journal of International Trade & Economic Development · doi:10.1080/09638199.2014.881906 · Cited by 164
The impact of educational mismatch on firm productivity: Evidence from linked panel data
Kampelmann, S., & Rycx, F. (2012) · Economics of Education Review · doi:10.1016/j.econedurev.2012.07.003 · Cited by 164
Can Production Subsidies Explain China's Export Performance? Evidence from Firm‐level Data*
Girma, S., Gong, Y., Görg, H., & Yu, Z. (2009) · Scandinavian Journal of Economics · doi:10.1111/j.1467-9442.2009.01586.x · Cited by 164
TFP estimation at firm level: The fiscal aspect of productivity convergence in the UK
Bournakis, I., & Mallick, S. (2017) · Economic Modelling · doi:10.1016/j.econmod.2017.11.021 · Cited by 164
Identifying and disentangling the impact of fiscal decentralization on economic growth
Canavire‐Bacarreza, G., Martínez-Vázquez, J., & Yedgenov, B. (2019) · World Development · doi:10.1016/j.worlddev.2019.104742 · Cited by 173
Foreign direct investment, economic growth and financial sector development in Africa
Acquah, A. M., & Ibrahim, M. (2019) · Journal of Sustainable Finance & Investment · doi:10.1080/20430795.2019.1683504 · Cited by 164
Bank reputation and operational risk: The impact of ESG
Galletta, S., Goodell, J. W., Mazzù, S., & Paltrinieri, A. (2022) · Finance research letters · doi:10.1016/j.frl.2022.103494 · Cited by 164
Exporting Raises Productivity in Sub-Saharan African Manufacturing Plants
Biesebroeck, J. V. (2003) · National Bureau of Economic Research · doi:10.3386/w10020 · Cited by 164
HOW MUCH DO WE REALLY KNOW ABOUT GROWTH AND FINANCE?
Wachtel, P. A. (2004) · Research in banking and finance · doi:10.1016/s1567-7915(04)04004-2 · Cited by 163
Khansa, L., Ma, X., Liginlal, D., & Kim, S. S. (2015) · Journal of Management Information Systems · doi:10.1080/07421222.2015.1063293 · Cited by 163
Ideology and Voter Preferences as Determinants of Financial Globalization
Quinn, D. P., & Toyoda, A. M. (2007) · American Journal of Political Science · doi:10.1111/j.1540-5907.2007.00255.x · Cited by 163
Determinants of corporate cash holdings: evidence from the emerging market of Turkey
Uyar, A., & Kuzey, C. (2014) · Applied Economics · doi:10.1080/00036846.2013.866203 · Cited by 169
Housing Wealth and Consumption: A Micro Panel Study
Browning, M., Gørtz, M., & Leth‐Petersen, S. (2012) · The Economic Journal · doi:10.1111/ecoj.12017 · Cited by 163
The impact of health information technology on hospital productivity
Lee, J., McCullough, J. S., & Town, R. (2013) · The RAND Journal of Economics · doi:10.1111/1756-2171.12030 · Cited by 163
Democracy and growth: Evidence from a machine learning indicator
Gründler, K., & Krieger, T. (2016) · European Journal of Political Economy · doi:10.1016/j.ejpoleco.2016.05.005 · Cited by 173
Saboo, A. R., Kumar, V., & Anand, A. (2017) · Journal of Marketing · doi:10.1509/jm.16.0457 · Cited by 163
Firm performance, corporate governance and executive compensation in Pakistan
Sheikh, M. F., Shah, S. Z. A., & Akbar, S. (2017) · Applied Economics · doi:10.1080/00036846.2017.1386277 · Cited by 163
Board gender diversity, audit committee and financial performance: evidence from Nigeria
Chijoke‐Mgbame, A. M., Boateng, A., & Mgbame, C. O. (2020) · Accounting Forum · doi:10.1080/01559982.2020.1766280 · Cited by 163
Does national culture affect corporate innovation? International evidence
Boubakri, N., Chkir, I., Saadi, S., & Zhu, H. (2020) · Journal of Corporate Finance · doi:10.1016/j.jcorpfin.2020.101847 · Cited by 163
The international zero-leverage phenomenon
Bessler, W., Drobetz, W., Haller, R., & Meier, I. (2013) · Journal of Corporate Finance · doi:10.1016/j.jcorpfin.2013.08.004 · Cited by 167
Guidara, A., Lai, V. S., Soumaré, I., & Tchana, F. T. (2013) · Journal of Banking & Finance · doi:10.1016/j.jbankfin.2013.05.012 · Cited by 163
Wang, B., Wang, J., Dong, K. Y., & Nepal, R. (2024) · Energy Policy · doi:10.1016/j.enpol.2024.114010 · Cited by 163
Semiparametric Bayesian Inference in Autoregressive Panel Data Models
Hirano, K. (2002) · Econometrica · doi:10.1111/1468-0262.00305 · Cited by 163
Martínez-Vázquez, J., Moreno‐Dodson, B., & Vulovic, V. (2012) · SSRN Electronic Journal · doi:10.2139/ssrn.2188608 · Cited by 163
Export diversification, composition, and economic growth: Evidence from cross-country analysis
Aditya, A., & Acharyya, R. (2011) · Journal of International Trade & Economic Development · doi:10.1080/09638199.2011.619009 · Cited by 162
Bank profitability and GDP growth in China: a note
Tan, Y., & Floros, C. (2012) · Journal of Chinese Economic and Business Studies · doi:10.1080/14765284.2012.703541 · Cited by 162
Economic transition, higher education and worker productivity in China
Fleisher, B. M., Hu, Y., Li, H., & Kim, S. (2010) · Journal of Development Economics · doi:10.1016/j.jdeveco.2010.01.001 · Cited by 162
The Determinants of Migration from Sub-Saharan African Countries
Naudé, W. A. (2010) · Journal of African Economies · doi:10.1093/jae/ejq004 · Cited by 171
Flatø, M., Muttarak, R., & Pelser, A. J. (2016) · World Development · doi:10.1016/j.worlddev.2016.08.015 · Cited by 162
Land use regulation and urban land value: Evidence from China
Han, W., Zhang, X., & Zheng, X. (2019) · Land Use Policy · doi:10.1016/j.landusepol.2019.104432 · Cited by 162
Wu, H., Gai, Z., Guo, Y., Li, Y., Hao, Y., & Lu, Z. (2020) · Environmental Research · doi:10.1016/j.envres.2020.109128 · Cited by 162
This changes everything: Climate shocks and sovereign bonds⁎
Cevik, S., & Jalles, J. T. (2022) · Energy Economics · doi:10.1016/j.eneco.2022.105856 · Cited by 206
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
