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SummaryA meta‐analysis of thirty‐four restriction tests from nine studies of the natural rate of unemployment hypothesis (NRU) finds the statistical trace of a false empirical hypothesis. A theme of bias and misspecification among those studies that tend to be more supportive of NRU emerges. When combined with a separate meta‐analysis of NRU's falsifying hypothesis, unemployment 'hysteresis' (Stanley 2004a), the natural rate hypothesis may be regarded as empirically 'falsified' (Popper 1959). Monte Carlo simulations validate the meta‐regression methods used here to integrate different restriction tests and to identify their limitations.

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.

"The purpose of this book is to introduce novice researchers to the tools of meta-analysis and meta-regression analysis and to summarize the state of the art for existing practitioners. Meta-regression analysis addresses the rising 'Tower of Babel' that current economics and business research has become. Meta-analysis is the statistical analysis of previously published, or reported, research findings on a given hypothesis, empirical effect, phenomenon, or policy intervention. It is a systematic review of all the relevant scientific knowledge on a specific subject and is an essential part of the evidence-based practice movement in medicine, education and the social sciences. However, research in economics and business is often fundamentally different from what is found in the sciences and thereby requires different methods for its synthesis--meta-regression analysis. This book develops, summarizes, and applies these meta-analytic methods."--Publisher description