The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Finance, growth and quantile parameter heterogeneity
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 Andini and Andini (2014)
In the citing paper
“Andini and Andini (2014) argued that quantile regression is useful to examine the changing shape and shifting location of conditional distribution.”
From How Does Financial Development Impact Economic Growth in Pakistan?: New Evidence from Threshold Model (2020) · cites this paper as Andini and Andini (2014)
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
La Porta, R., Lopez‐de‐Silanes, F., Shleifer, A., & Vishny, R. W. (1998) · Journal of Political Economy · doi:10.1086/250042 · Cited by 18,025
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
Finance and Growth: Schumpeter Might Be Right
King, R. G., & Levine, R. (1993) · The Quarterly Journal of Economics · doi:10.2307/2118406 · Cited by 8,657
A finite sample correction for the variance of linear efficient two-step GMM estimators
Windmeijer, F. (2004) · Journal of Econometrics · doi:10.1016/j.jeconom.2004.02.005 · Cited by 6,160
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 5,916
Financial intermediation and growth: Causality and causes
Levine, R., Loayza, N., & Beck, T. (2000) · Journal of Monetary Economics · doi:10.1016/s0304-3932(00)00017-9 · Cited by 4,414
Koenker, R., & Hallock, K. F. (2001) · Journal of Economic Perspectives · doi:10.1257/jep.15.4.143 · Cited by 4,413
Money and Capital in Economic Development.
Luders, R. J., & McKinnon, R. I. (1974) · The Journal of Finance · doi:10.2307/2978253 · Cited by 3,726
Research works printed but not linked: 1
- Liu, 1999, Non-linearities in cross country growth regressions: a semiparametric approach, J. Appl. Economet., 14, 527, 10.1002/(SICI)1099-1255(199909/10)14:5<527::AID-JAE528>3.0.CO;2-X · DOI
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
“Andini and Andini (2014) argued that quantile regression is useful to examine the changing shape and shifting location of conditional distribution.”
Background
Metadata
- Authors
- Andini, M., & Andini, C.
- Affiliations
- Bank of Italy (IT)
- IZA - Institute of Labor Economics (DE)
- Corresponding author
- Andini, Corrado
- Venue
- Journal of Macroeconomics
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 40
- Pages
- 308-322
- ISSN
- 0164-0704 (ISSN-L)
- OpenAlex
- W2070761853
- Cited by
- 26
- References
- 43
- Citations by year
- 2026: 2 · 2025: 2 · 2023: 1 · 2021: 4 · 2020: 3 · 2019: 2 · 2018: 3 · 2017: 2 · 2016: 4 · 2015: 3
- FWCI
- 8.43
- 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
- Journal of Macroeconomics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion)
- Funders
- Università degli Studi di Salerno
- Topics
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Monetary Policy and Economic Impact
- 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
- Keywords
- economic growth, finance-growth relationship, financial development
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Finance, growth and quantile parameter heterogeneity. https://app.cochat.ai/papers/10.1016/j.jmacro.2014.01.008
- The paper
- Andini, M., & Andini, C. (2014). Finance, growth and quantile parameter heterogeneity. Journal of Macroeconomics. https://doi.org/10.1016/j.jmacro.2014.01.008
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.