The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Growth equations: a quantile regression exploration
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
“The quantile regression is useful for robustness as compared to other methods.”
From How Does Financial Development Impact Economic Growth in Pakistan?: New Evidence from Threshold Model (2020) · cites this paper as Mello and Perrelli (2003)
In the citing paper
“Likewise, Mello and Perrelli (2003) argued that quantile regression provides useful information that how macroeconomic variables react to changes in policy variables.”
From How Does Financial Development Impact Economic Growth in Pakistan?: New Evidence from Threshold Model (2020) · cites this paper as Mello and Perrelli (2003)
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
A Contribution to the Empirics of Economic Growth
Mankiw, N. G., Romer, D., & Weil, D. N. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118477 · Cited by 15,119
Koenker, R., & Bassett, G. (1978) · Econometrica · doi:10.2307/1913643 · Cited by 13,316
Economic Growth in a Cross Section of Countries
Barro, R. J. (1991) · The Quarterly Journal of Economics · doi:10.2307/2937943 · Cited by 9,263
Economic Growth in a Cross Section of Countries
Barro, R. (1989) · National Bureau of Economic Research · doi:10.3386/w3120 · Cited by 8,385
Koenker, R., & Hallock, K. F. (2001) · Journal of Economic Perspectives · doi:10.1257/jep.15.4.143 · Cited by 4,413
Productivity Growth, Convergence, and Welfare: What the Long-Run Data Show
Baumöl, W. J. (2003) · Edward Elgar Publishing eBooks · doi:10.4337/9781035304950.00007 · Cited by 2,790
Galton's Fallacy and Tests of the Convergence Hypothesis
Quah, D. (1993) · The Scandinavian Journal of Economics · doi:10.2307/3440905 · Cited by 1,740
Robust Tests for Heteroscedasticity Based on Regression Quantiles
Koenker, R., & Bassett, G. (1982) · Econometrica · doi:10.2307/1912528 · Cited by 1,629
Barro, R. (1995) · National Bureau of Economic Research · doi:10.3386/w5326 · Cited by 1,576
Research works printed but not linked: 1
- Barro, R. J., & Sala-i-Martin, X. (1995). Economic growth. New York: McGraw-Hill.
Cited by
Department of Management Sciences, C. U., TARIQ, R., KHAN, M. A., & RAHMAN, A. (2020) · The Journal of Asian Finance, Economics and Business · doi:10.13106/jafeb.2020.vol7.no8.161 · Cited by 51
“Likewise, Mello and Perrelli (2003) argued that quantile regression provides useful information that how macroeconomic variables react to changes in policy variables.”
BackgroundFinance, growth and quantile parameter heterogeneity
Andini, M., & Andini, C. (2014) · Journal of Macroeconomics · doi:10.1016/j.jmacro.2014.01.008 · Cited by 26
Metadata
- Authors
- Mello, M., & Perrelli, R.
- Affiliations
- Virginia Tech (US)
- University of Illinois Urbana-Champaign (US)
- Corresponding author
- Mello, Marcelo
- Venue
- The Quarterly Review of Economics and Finance
- Publisher
- Elsevier BV
- Published
- 2003
- Volume
- 43
- Issue
- 4
- Pages
- 643-667
- ISSN
- 1062-9769 (ISSN-L)
- OpenAlex
- W2088270106
- Cited by
- 93
- References
- 20
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 3 · 2023: 6 · 2022: 3 · 2021: 5 · 2020: 7 · 2019: 3 · 2018: 2 · 2017: 8 · 2016: 5 · 2015: 2 · 2014: 4 · 2013: 5 · 2012: 5
- FWCI
- 7.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- Locations
- The Quarterly Review of Economics and Finance (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Development
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Monetary Policy and Economic Impact
- Keywords
- economic growth, income convergence, regression quantiles, quantile regression, cross-country growth, GDP growth determinants
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.
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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.