Highlighting the interface between applied economics and statistics, this one-of-a-kind resource examines important theoretical issues as well as practical developments in statistical inference related to economic models and analysis.    Emphasizing the most recent research in the field, the Handbook of Applied Economic Statistics  reviews the use of economic statistics to make social welfare comparisons and measure inequality  suggests new tools for analyzing poor regions in growing economies  proposes a novel method for recovering the unknown parameters in simultaneous equations' models  introduces a more powerful way to conduct the most commonly used variable addition test   presents a set of inference methods for comparing and pooling information obtained from different data sets  shows how smooth transition regression models can be applied to problems in time series econometrics  furnishes statistical models that forecast economic time series with seasonal variations  and much more!    Containing over 1150 bibliographic citations and authoritative contributions from distinguished international experts, the Handbook of Applied Economic Statistics is an incomparable reference for applied statisticians, econometricians, economists, sociologists, psychologists, data analysts, biometricians, medical researchers, and upper-level undergraduate and graduate-level students in these disciplines.

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