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Cited by 3,493

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Growth Empirics: A Panel Data Approach

Islam, N.·1995·The Quarterly Journal of Economics
DOI 10.2307/2946651
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Abstract

A panel data approach is advocated and implemented for studying growth convergence. The familiar equation for testing convergence is reformulated as a dynamic panel data model, and different panel data estimators are used to estimate it. The main usefulness of the panel approach lies in its ability to allow for differences in the aggregate production function across economies. This leads to results that are significantly different from those obtained from single cross-country regressions. In the process of identifying the individual “country effect,” we can also see the point where neoclassical growth empirics meets development economics.

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Metadata

Authors
Islam, N.
Venue
The Quarterly Journal of Economics
Publisher
Oxford University Press (OUP)
Published
1995-11-01
Volume
110
Issue
4
Pages
1127-1170
ISSN
  • 0033-5533 (ISSN-L)
  • 1531-4650
DOI
10.2307/2946651
OpenAlex
W1975603656
Cited by
3,493
References
2
FWCI
100.01
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Growth Empirics: A Panel Data Approach. https://app.cochat.ai/papers/10.2307/2946651
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Islam, N. (1995). Growth Empirics: A Panel Data Approach. The Quarterly Journal of Economics. https://doi.org/10.2307/2946651

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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.