Guohua Feng, Jiti Gao, Bin Peng
arXiv 19 Mar 2019 · Econometrics · publishedJournal of Econometrics (2019) · 2 citations (OpenAlex)
arXiv:1903.07948 · PDF · DOI · OpenAlex · Extracted main text
Empirical growth analysis has three major problems --- variable selection, parameter heterogeneity and cross-sectional dependence --- which are addressed independently from each other in most studies. The purpose of this study is to propose an integrated framework that extends the conventional linear growth regression model to allow for parameter heterogeneity and cross-sectional error dependence, while simultaneously performing variable selection. We also derive the asymptotic properties of the estimator under both low and high dimensions, and further investigate the finite sample performance of the estimator through Monte Carlo simulations. We apply the framework to a dataset of 89 countries over the period from 1960 to 2014. Our results reveal some cross-country patterns not found in previous studies (e.g., "middle income trap hypothesis", "natural resources curse hypothesis", "religion works via belief, not practice", etc.).
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Bai (2009) `Panel data models with interactive fixed effects', Econometrica 77(4), 1229–1279 | 1.000 | 12 | 5 | 100% |
| 2 | Durlauf, Kourtellos \ Minkin (2001) `The local solow growth model', European Economic Review 45(4-6), 928–940 | 1.000 | 7 | 3 | 100% |
| 3 | Sala-I-Martin, Doppelhofer \ Miller (2004) `Determinants of long-term growth: A bayesian averaging of classical estimates (bace) approach', American Economic Review 94(4),… | 1.000 | 7 | 3 | 100% |
| 4 | Durlauf \ Johnson (1995) `Multiple regimes and cross‐country growth behaviour', Journal of Applied Econometrics 10(4), 365–384 | 1.000 | 5 | 3 | 100% |
| 5 | Salimans (2012) `Variable selection and functional form uncertainty in cross-country growth regressions', Journal of Econometrics 171(2), 267–280 | 1.000 | 5 | 3 | 100% |
| 6 | Dong \ Linton (2018) `Additive nonparametric models with time variable and both stationary and nonstationary regressors', Journal of Econometrics 207… | 0.928 | 4 | 4 | 100% |
| 7 | Su \ Jin (2012) `Sieve estimation of panel data models with cross section dependence', Journal of Econometrics 169(1), 34–47 | 0.811 | 4 | 2 | 100% |
| 8 | Su, Jin \ Zhang (2015) `Specification test for panel data models with interactive fixed effects', Journal of Econometrics 186(1), 222–244 | 0.737 | 3 | 2 | 100% |
| 9 | Moral-Benito (2012) `Determinants of economic growth: A bayesian panel data approach', Review of Economics and Statistics 94(2), 566–579 | 0.644 | 2 | 2 | 100% |
| 10 | Chen, Gao \ Li (2012) `Semiparametric trending panel data models with cross–sectional dependence', Journal of Econometrics 171(1), 71–85 | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 68 scored citations.