世界経済・社会統計 = World development indicators

计量经济分析 = Econometric analysis

1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

We investigate whether income inequality affects subsequent growth in a cross-country sample for 1965-90, using the models of Barro (1997), Bleaney and Nishiyama (2002) and Sachs and Warner (1997), with negative results. We then investigate the evolution of income inequality over the same period and its correlation with growth. The dominating feature is inequality convergence across countries. This convergence has been significantly faster amongst developed countries. Growth does not appear to influence the evolution of inequality over time. Outline

https://www.econstor.eu/bitstream/10419/81822/1/02-28.pdf

Economic growth and income inequality

Capitalism and Freedom

1: Introduction 2: Identifying and Coding Meta-Analysis Data 3: Summarizing Meta-Analysis Data 4: Publication Bias and Its Discontents 5: Explaining Economics Research 6: Economic Theory and Meta-Regression Analysis 7: Further Topics in Meta-Regression Analysis 8: Summary and Conclusions

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Meta-Regression Analysis in Economics and Business

Publication selection bias is a serious challenge to the integrity of all empirical sciences We derive meta-regression approximations to reduce this bias Our approach employs Taylor polynomial approximations to the conditional mean of a truncated distribution A quadratic approximation without a linear term, precision-effect estimate with standard error (PEESE), is shown to have the smallest bias and mean squared error in most cases and to outperform conventional meta-analysis estimators, often by a great deal Monte Carlo simulations also demonstrate how a new hybrid estimator that conditionally combines PEESE and the Egger regression intercept can provide a practical solution to publication selection bias PEESE is easily expanded to accommodate systematic heterogeneity along with complex and differential publication selection bias that is related to moderator variables By providing an intuitive reason for these approximations, we can also explain why the Egger regression works so well and when it does not These meta-regression methods are applied to several policy-relevant areas of research including antidepressant effectiveness, the value of a statistical life, the minimum wage, and nicotine replacement therapy

Meta-regression approximations to reduce publication selection bias

The aid effectiveness literature (AEL) consists of empirical macroeconomic estimates of the effects of development aid. By the end of 2004, it comprised 97 econometric studies of three families of related effects. Each family has been analyzed in a separate meta-analysis. The AEL is an ideal subject for meta-analysis as it uses only a few formally similar models to estimate the same underlying effects. It is also an area with strong beliefs, often generated by altruism. When this whole literature is examined, a clear pattern emerges. After 40 years of development aid, the preponderance of the evidence indicates that aid has not been effective. We show that the distribution of results is significantly asymmetric reflecting the reluctance of the research community to publish negative results. The Dutch disease effect on exchange rates provides a plausible explanation for the observed aid ineffectiveness.

/pdf/the-aid-effectiveness-literature-the-sad-results-of-40-years-4m0w0lol5d.pdf

The aid effectiveness literature : the sad results of 40 years of research

Despite a sizeable theoretical and empirical literature, no firm conclusions have been drawn regarding the impact of political democracy on economic growth. This article challenges the consensus of an inconclusive relationship through a quantitative assessment of the democracy-growth literature. It applies meta-regression analysis to the population of 483 estimates derived from 84 studies on democracy and growth. Using traditional meta-analysis estimators, the bootstrap, and Fixed and Random Effects meta-regression models, it derives several robust conclusions. Taking all the available published evidence together, it concludes that democracy does not have a direct impact on economic growth. However, democracy has robust, significant, and positive indirect effects through higher human capital, lower inflation, lower political instability, and higher levels of economic freedom. Democracies may also be associated with larger governments and less free international trade. There also appear to be country- and region-specific democracy-growth effects. Overall, democracy's net effect on the economy does not seem to be detrimental.

/pdf/democracy-and-economic-growth-a-meta-analysis-4hmukrfvpg.pdf

Democracy and Economic Growth: A Meta‐Analysis

Card and Krueger's meta-analysis of the employment effects of minimum wages challenged existing theory. Unfortunately, their meta-analysis confused publication selection with the absence of a genuine empirical effect. We apply recently developed meta-analysis methods to 64 US minimum-wage studies and corroborate that Card and Krueger's findings were nevertheless correct. The minimum-wage effects literature is contaminated by publication selection bias, which we estimate to be slightly larger than the average reported minimum-wage effect. Once this publication selection is corrected, little or no evidence of a negative association between minimum wages and employment remains.

https://papers.ssrn.com/sol3/Delivery.cfm/bjir_723.pdf?abstractid=1403498&mirid=3

Hristos Doucouliagos

Papers

Meta-Regression Analysis in Economics and Business

Meta-regression approximations to reduce publication selection bias

The aid effectiveness literature : the sad results of 40 years of research

Democracy and Economic Growth: A Meta‐Analysis

Publication Selection Bias in Minimum‐Wage Research?: A Meta‐Regression Analysis