The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
ECONOMETRICS FOR GRUMBLERS: A NEW LOOK AT THE LITERATURE ON CROSS-COUNTRY GROWTH EMPIRICS
Open accessAbstract
Abstract Since the seminal contribution of N. Gregory Mankiw, David Romer and David N. Weil in 1992 the growth empirics literature has used increasingly sophisticated methods to select relevant growth determinants in estimating cross-section growth regressions. The vast majority of empirical approaches, however, limit cross-country heterogeneity in production technology to the specification of total factor productivity, the ‘measure of our ignorance’. In this survey, we present two general empirical frameworks for cross-country growth and productivity analysis and demonstrate that they encompass the various approaches in the growth empirics literature of the past two decades. We then develop our central argument, that cross-country heterogeneity in the impact of observables and unobservables on output as well as the time-series properties of the data are important for reliable empirical analysis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A contribution to the theory of economic growth
Solow, R. M. (1956) · The Quarterly Journal of Economics · doi:10.2307/1884513 · Cited by 24,483
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1998) · Journal of Econometrics · doi:10.1016/s0304-4076(98)00009-8 · Cited by 22,571
Endogenous Technological Change
Romer, P. M. (1990) · Journal of Political Economy · doi:10.1086/261725 · Cited by 17,711
Testing for unit roots in heterogeneous panels
Im, K. S., Pesaran, M. H., & Shin, Y. (2003) · Journal of Econometrics · doi:10.1016/s0304-4076(03)00092-7 · Cited by 15,435
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1995) · Working Paper Series · doi:10.1920/wp.ifs.1995.9517 · Cited by 14,755
A simple panel unit root test in the presence of cross‐section dependence
Pesaran, M. H. (2007) · Journal of Applied Econometrics · doi:10.1002/jae.951 · Cited by 12,787
Technical Change and the Aggregate Production Function
Solow, R. M. (1957) · The Review of Economics and Statistics · doi:10.2307/1926047 · Cited by 12,259
Biases in dynamic models with fixed effects
Nickell, S. (1981) · Econometrica · doi:10.2307/1911408 · Cited by 8,735
Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors
Pedroni, P. (1999) · Oxford Bulletin of Economics and Statistics · doi:10.1111/1468-0084.61.s1.14 · Cited by 6,726
Pooled Mean Group Estimation of Dynamic Heterogeneous Panels
Pesaran, M. H., Shin, Y., & Smith, R. P. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474156 · Cited by 6,683
Cited by
Shafiei, S., & Salim, R. A. (2014) · Energy Policy · doi:10.1016/j.enpol.2013.10.064 · Cited by 1,127
The effect of urbanization on CO2 emissions in emerging economies
Sadorsky, P. (2014) · Energy Economics · doi:10.1016/j.eneco.2013.11.007 · Cited by 830
Estimating Panel Time-Series Models with Heterogeneous Slopes
Eberhardt, M. (2012) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x1201200105 · Cited by 619
Self-citationSamargandi, N., Fidrmuc, J., & Ghosh, S. (2015) · World Development · doi:10.1016/j.worlddev.2014.11.010 · Cited by 647
Doğan, B., Driha, O. M., Balsalobre Lorente, D., & Shahzad, U. (2021) · Sustainable Development · doi:10.1002/sd.2125 · Cited by 532
Metadata
- Authors
- Eberhardt, M., & Teal, F.
- Venue
- Journal of Economic Surveys
- Publisher
- Wiley
- Published
- 2011-01-12
- Volume
- 25
- Issue
- 1
- Pages
- 109-155
- ISSN
- 0950-0804 (ISSN-L)
- OpenAlex
- W2108601001
- Cited by
- 479
- References
- 16
- FWCI
- 38.85
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: ECONOMETRICS FOR GRUMBLERS: A NEW LOOK AT THE LITERATURE ON CROSS-COUNTRY GROWTH EMPIRICS. https://app.cochat.ai/papers/10.1111/j.1467-6419.2010.00624.x
- The paper
- Eberhardt, M., & Teal, F. (2011). ECONOMETRICS FOR GRUMBLERS: A NEW LOOK AT THE LITERATURE ON CROSS-COUNTRY GROWTH EMPIRICS. Journal of Economic Surveys. https://doi.org/10.1111/j.1467-6419.2010.00624.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.