Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 346

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

Terms-of-trade shocks and macroeconomic volatility in developing countries: panel smooth transition regression models

Open access
Alimi, Nabil, Aflouk, Nabil·2017·The Journal of International Trade & Economic Development

Abstract

We introduce the panel smooth transition regression model. This new model is intended for characterizing heterogeneous panels, allowing the regression coefficients to vary both across individuals and over time. Specifically, heterogeneity is allowed for by assuming that these coefficients are bounded continuous functions of an observable variable and fluctuate between a limited number of "extreme regimes". The model can be viewed as a generalization of the threshold panel model of Hansen (1999). We extend the modelling strategy originally designed for univariate smooth transition regression models to the panel context. The strategy consists of model specification based on homogeneity tests, parameter estimation, and model evaluation, including tests of parameter constancy and no remaining heterogeneity. The model is applied to describing firms' investment decisions in the presence of capital market imperfections.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/09638199.2016.1278029

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Research works printed but not linked: 42

  1. 10.1016/S0304-3932(02)00208-8 · DOI · Paper page
  2. Alimi Nabil, 2016, Region et Developpement, 43, 139
  3. 10.1016/j.jeca.2016.08.001 · doi:10.1016/j.jeca.2016.08.001
  4. Andrews Dan, 2009, Macroeconomic Volatility and terms of trade Shocks
  5. Kose M. Ayhan, 2005, IMF Economic Review, 52, 31, 10.2307/30035982 · DOI
  6. 10.1016/j.ecosys.2016.02.001 · DOI
  7. 10.1016/j.jimonfin.2006.08.004 · DOI
  8. 10.2139/ssrn.965824 · doi:10.2139/ssrn.965824
  9. 10.1016/j.jimonfin.2006.01.003 · DOI · Paper page
  10. 10.1016/j.eneco.2008.02.003 · DOI · Paper page
  11. 10.2307/2673902 · DOI · Paper page
  12. 10.1257/aer.90.2.59 · DOI
  13. 10.2307/1954537 · DOI · Paper page
  14. Cavallo Eduardo A, 2005, Harvard University mimeograph
  15. 10.3406/rfeco.2000.1441 · doi:10.3406/rfeco.2000.1441
  16. 10.1081/ETC-120008723 · DOI
  17. 10.2202/1469-3569.1201 · DOI
  18. Easterly, William, Roumeen Islam, and Joseph E. Stiglitz. 2001. “Shaken and Stirred: Explaining Growth Volatility.” InAnnual World Bank Conference on Development Economics, 191–211. Washington, D.C.: The World Bank.
  19. 10.1016/S0305-750X(00)00068-1 · doi:10.1016/s0305-750x(00)00068-1
  20. Fernández Martin, Andrés, Andrés González, and Diego Rodriguez. 2015. Sharing a Ride on the Commodities Roller Coaster: Common Factors in Business Cycles of Emerging Economies. Technical report. BANCO DE LA REPÚBLICA. · doi:10.32468/be.915
  21. 10.1016/j.jjie.2007.04.001 · DOI
  22. García-Herrero Alicia, 2007, Money Affairs, 20, 43
  23. González Andrés, 2005, Panel Smooth Transition Regression Models
  24. Haddad Mona, 2010, World Bank Policy Research Working Paper Series No. 5222
  25. 10.1016/S0304-4076(99)00025-1 · DOI · Paper page
  26. 10.11130/jei.2006.21.2.254 · doi:10.11130/jei.2006.21.2.254
  27. 10.1016/j.red.2008.04.001 · doi:10.1016/j.red.2008.04.001
  28. 10.2307/1058045 · doi:10.2307/1058045
  29. 10.1016/j.jinteco.2003.07.002 · DOI
  30. 10.1016/S0022-1996(01)00120-9 · doi:10.1016/s0022-1996(01)00120-9
  31. Kose M. Ayhan, 2003, IMF Economic Review, 50, 119, 10.2307/4149918 · DOI · Paper page
  32. 10.1016/j.jinteco.2005.05.009 · DOI · Paper page
  33. 10.1007/978-1-349-15210-0_2 · doi:10.1007/978-1-349-15210-0_2
  34. Lubik Thomas, 2005, Do World Shocks Drive Domestic Business Cycles? Some Evidence from Structural Estimation
  35. 10.2307/2527429 · doi:10.2307/2527429
  36. Ramey Garey, 1995, The American Economic Review, 1138
  37. 10.1016/S0022-1996(03)00014-X · DOI
  38. Röhn Oliver, 2009, An Institutional Risk Analysis of the Kazakh Economy
  39. 10.3386/w21253 · doi:10.3386/w21253
  40. Summers Lawrence H, 1993, Good Policy or Good Luck?: Country Growth Performance and Temporary Shocks
  41. Teräsvirta Timo, 1996, Modelling Economic Relationships with Smooth Transition Regressions
  42. 10.1002/jae.3950070509 · DOI · Paper page

Cited by

See all 346

Metadata

Authors
Alimi, N., & Aflouk, N.
Venue
The Journal of International Trade & Economic Development
Published
2017-01-30
Volume
26
Issue
5
Pages
534-551
ISSN
  • 0963-8199
  • 1469-9559
OpenAlex
W1567373114
Cited by
346
References
2
Type
posted content
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

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.