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Meta-Analysis in Economics: Application to Measuring the Euro's Trade Effect
Polák, Petr ; Havránek, Tomáš (advisor) ; Havránková, Zuzana (referee)
Meta-analysis is a very strong and effective tool designed for the synthesis of results of empirical research. It provides a possibility to make reliable conclusions and offers more systematic and unbiased view at empirical studies than do narrative reviews. This thesis begins with description of meta-analysis from the theoretical point of view and, therefore, is the first Czech-written methodology of modern meta-analysis suitable for economics. This part is followed by an applied meta-analysis that investigates the euro effect on common trade exchange, and the analysis is focused on publication bias and the use of the multilevel random effects model. The empirical part is based on 2580 estimates gathered from 33 studies that investigate the relationship between euro and trade volume. The meta-analysis reveals the presence of publication bias, confirms the economic research cycle hypothesis and estimates, according to the available literature, that the true Rose effect lies probably between 2 and 6 percent.
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The ECB, Austerity and the Fiscal Multiplier: A meta-regression analysis of Fiscal Multiplier Estimates in ECB Policy Recommendations
Brüsewitz, Caspar Gerbrandt ; Baxa, Jaromír (advisor) ; Havránek, Tomáš (referee)
The primary aim of this thesis is to examine whether the policy recommendations made by the European Central Bank in response to the financial crisis of 2008 were biased towards fiscal consolidation. It posits that such policies, commonly known as austerity, were underpinned by estimates of the fiscal multiplier that were lower than those of international and independent researchers. To analyse this, it provides a systematic overview of the ECB's fiscal multiplier estimates by performing a meta-regression analysis on all ECB working papers making multiplier estimates published between 1992 and 2012, and comparing the results against those of a larger dataset containing multiplier estimates made. It finds that the multiplier estimates of the ECB are significantly lower than the norm, which is potentially suggestive of bias. This thesis contributes to the literature on ideational bias in economic policy-making by providing a systematic literature review that helps inform the discussion on austerity in the EU. It also servers as a replication and expansion of previous meta-regression studies on the fiscal multiplier, by being the first study that specifically examines the estimates of a specific institution.
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A Meta-Analysis of the Effect of Minimum Wage Increases on Prices
Vavřičková, Jana ; Havránek, Tomáš (advisor) ; Švarcová, Natálie (referee)
As an economically as well as politically sensitive topic, labor market interventions stir up discussions among professionals as well as general public. Most economists take negative stance against minimum wage policies providing arguments backed by theoretical reasoning rather then sound empirical evidence. Knowledge of labor market outcomes and their transmission channel to other segments of the economy are till nowadays limited and inconsistent. Neither empirical research in the field contributes to a uniform consent on the impact of minimum wage hikes on the price level. Moreover, the reported estimates display large heterogeneity and after a brief inspection reveal that the field is infested with publication selectivity. A uniquely constructed dataset consisting of 469 estimates of the price effect of minimum wage changes and their associated characteristics is analyzed using a set of statistical tools generally known as meta-analysis. The method is a powerful tool nowadays widely used in empirical research to synthesize and systematically evaluate sometimes inconsistent research results. While the study finds no consistent evidence of an actual link between minimum wage hikes and inflationary pressures, the empirical results show strong presence of publication selectivity. Powered by TCPDF (www.tcpdf.org)
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Health care: necessity or luxury good? A meta-regression analysis
Iordache, Ioana Raluca ; Votápková, Jana (advisor) ; Háva, Petr (referee) ; Gerry, Christopher J. (referee)
When estimating the influence income per capita exerts on health care expenditure, the research in the field offers mixed results. Studies employ different data, estimation techniques and models, which brings about the question whether these differences in research design play any part in explaining the heterogeneity of reported outcomes. By employing meta-regression analysis, the present paper analyzes 220 estimates of health spending income elasticity collected from 54 studies and finds that publication bias is of marginal concern for the literature. The model specification choices, more exactly whether a study accounts for institutional factors and advancements in medical technology, have a negative effect on reported outcomes. Moreover, the "economic research cycle hypothesis" finds support in our analysis. Lastly, the research finds that the true income elasticity of health spending is situated around unity level, which makes health care neither a luxury, nor a necessity. Keywords: meta-regression analysis, aggregate health expenditure, income elasticity 1
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Income Elasticity of Gasoline Demand: A Meta-Analysis
Kokeš, Ondřej ; Havránek, Tomáš (advisor) ; Avdulaj, Krenar (referee)
In this thesis I summarize previous studies estimating income elasticity of gasoline demand, analyze the models employed, comment on the evolution of econometric tools used, and finally perform a meta-analysis. This thesis is the first survey on gasoline income elasticity that takes into account publication bias. It also distinguishes between models including car stock information in estimation. I estimate the underlying short-run elasticity to be 0.1, long-run with car stock 0.234, and long-run without car stock 0.644. These results, on average, point to less income-elastic demand for gasoline than what previous surveys found.
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Meta-Analysis in Economics: Application to Measuring the Euro's Trade Effect
Polák, Petr ; Havránek, Tomáš (advisor) ; Havránková, Zuzana (referee)
Meta-analysis is a very strong and effective tool designed for the synthesis of results of empirical research. It provides a possibility to make reliable conclusions and offers more systematic and unbiased view at empirical studies than do narrative reviews. This thesis begins with description of meta-analysis from the theoretical point of view and, therefore, is the first Czech-written methodology of modern meta-analysis suitable for economics. This part is followed by an applied meta-analysis that investigates the euro effect on common trade exchange, and the analysis is focused on publication bias and the use of the multilevel random effects model. The empirical part is based on 2580 estimates gathered from 33 studies that investigate the relationship between euro and trade volume. The meta-analysis reveals the presence of publication bias, confirms the economic research cycle hypothesis and estimates, according to the available literature, that the true Rose effect lies probably between 2 and 6 percent.
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