2000
DOI: 10.1080/000368400322534
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Cross-country growth regressions: problems of heterogeneity, stability and interpretation

Abstract: The paper discusses the issues of heterogeneity and stability of cross-country growth regressions that have been used to study the problem of convergence. Almost all studies use pooled regressions. The paper considers the issue of pooling under heterogeneity using a hierarchical Bayesian method and estimates growth regressions for different panels studied in earlier papers, and different regimes. The conclusion is that the convergence rates are higher than those obtained from pooled regressions under the assum… Show more

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Cited by 59 publications
(49 citation statements)
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“…However, we have to maintain the assumption of homogeneity over time within a country. Maddala and Wu (2000) find some limited evidence of instability over time in growth relationships.…”
Section: Introductionmentioning
confidence: 99%
“…However, we have to maintain the assumption of homogeneity over time within a country. Maddala and Wu (2000) find some limited evidence of instability over time in growth relationships.…”
Section: Introductionmentioning
confidence: 99%
“…The absence of stationarity-Nonstationarity-can strongly influence the behavior and properties of the series, so that the tests about the regression parameters cannot be validated (Sarbapriya, 2012). In this study, stationarity of the data is tested using Fisher test-a unit root test for unbalanced panels as suggested by Maddala and Wu (1999), where a p-value greater than 5% indicates that the data has a unit root test and is non-stationary. The Fisher test can be calculated in two methods: taking into consideration the augmented Dickey-Fuller (ADF) test or taking into consideration the Philips Perron test (PP).…”
Section: Assumption 2: Unit-root Test (Stationary Test)mentioning
confidence: 99%
“…This study uses the panel unit root test of the variables by five standard method tests for panel data including Levin and Chu test, (LLC, 2002), the Im, Pesaran and Shin (IPS, 2003)) test, the Fisher-Type test by ADF and PP-test (Maddala and Wu (1999) and finally Breitung (2000) test.…”
Section: Panel Unit Root Testsmentioning
confidence: 99%