Structural policies and growth: Time series evidence from a natural experiment

Eicher, Theo S.; Schreiber, Till

doi:10.1016/j.jdeveco.2009.05.003

Cited by 45 publications

(14 citation statements)

References 73 publications

(106 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Paakkonen (2009) reports a positive effect of increasing economic freedom on economic growth over the period 1998-2005. Falcetti et al (2006 employ the same proxy for institutions as Eicher -Schreiber (2010) and find that institutions are an important determinant of economic growth in transition.…”

Section: Estimators Used In Transition Researchmentioning

confidence: 95%

“…1 Redek -Susjan (2005), and Paakkonen (2009) Falcetti et al 2006;Di Tommaso et al 2007;Efendic 2010;Eicher -Schreiber 2010. Chousa et al (2005 base their institutional variable on the shadow economy; Beck -Laeven (2006) use the World Bank Worldwide Governance indicators, while some use specifically designed survey data (e.g.…”

Section: The Independent Variable Of Interest: Measuring Institutionamentioning

confidence: 99%

“…Regarding the methodology employed to estimate institutional models, the existing empirical research on transition is often based on OLS cross-section analy-sis, although some research has been based on static panels, while Falcetti et al (2006), Paakkonen (2009) and Eicher -Schreiber (2010), for example, apply a dynamic model. We argue below that dynamic panel models are a methodological advance in comparison to the cross-section and static panel models applied; accordingly, we discuss these papers.…”

Section: Estimators Used In Transition Researchmentioning

confidence: 99%

“…In their dynamic panel, Eicher -Schreiber (2010) regress GDP per capita growth on institutions for a period of 11 years. The institutional variable is constructed from the EBRD indicators.…”

Section: Estimators Used In Transition Researchmentioning

confidence: 99%

“…Many authors agree that transition is largely a process of institutional change (Redek -Susjan 2005;Eicher -Schreiber 2010). Accordingly, institutional economics may be particularly relevant in explaining economic differences among the 29 transition countries (TCs) we analyse.…”

Section: Introductionmentioning

confidence: 97%

See 4 more Smart Citations

Institutional effects on economic performance in post-socialist transition: A dynamic panel analysis

Efendić

Pugh

2015

Acta Oeconomica

View full text Add to dashboard Cite

This article uses dynamic panel analysis to investigate the relationship between institutional improvement and economic performance in 29 transition countries. The contribution of this paper is two-fold. First, we fi nd that per capita GDP is determined by the entire history of institutional reform under transition and that, conditional on this history, per capita GDP adjusts to recent institutional changes. Moreover, we fi nd that the time-horizon over which we measure institutional change matters, with fi ve-year changes showing the clearest effects on current levels of per capita GDP. Secondly, we address the pronounced methodological heterogeneity of this literature. To compensate for incomplete theoretical guidance from the institutional literature, we draw upon an institutional meta-regression analysis to inform our model specifi cation. Our analysis covers the period 1992-2007.

show abstract

Section: Estimators Used In Transition Researchmentioning

confidence: 95%

Section: The Independent Variable Of Interest: Measuring Institutionamentioning

confidence: 99%

Section: Estimators Used In Transition Researchmentioning

confidence: 99%

Section: Estimators Used In Transition Researchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

See 3 more Smart Citations

Institutional effects on economic performance in post-socialist transition: A dynamic panel analysis

Efendić

Pugh

2015

Acta Oeconomica

View full text Add to dashboard Cite

show abstract

The relevance of earning‐to‐price and ROE predictability for explaining Shenzhen stock exchange (SZSE), returns in China: A dynamic panel data approach

Arshad

2021

J Corp Accounting Finance

View full text Add to dashboard Cite

The fundamental valuation (FV) perspective has been extended to the Shenzhen Stock Exchange (SZSE) in China by focusing on the role of forecasted earning‐to‐price ratio and return on equity (ROE). Forecasting the variables is being done using a linear dynamic panel data technique. The findings of the two‐step Generalized Method of Moments (GMM) analysis indicate that the forecasted E/P ratio and ROE significantly explain a portion of the variation in the SZSE stock return and remain highly statistically significant after risk proxy variables are included. Additionally, it confirms the existence of size, momentum, liquidity, and dividend yield in the SZSE. This supports the usefulness of an FV perspective based on the unique characteristics of the Chinese equity market in explaining stock returns and their potential utility in forecasting future stock returns.

show abstract