Decision Making versus Testing: A Changing of the Guards in Empirical Research?

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Tác giả: T. Nguyen Hung, William M. Briggs

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: Asian Journal of Economics and Banking (AJEB), 2020

Mô tả vật lý: tr.21

Bộ sưu tập: Metadata

ID: 329817

 In this paper we will elaborate and give support to Manski's central message in “Statistical decision theory should supplant hypothesis tesing" (Manksi [15]
  see also Manski [16]). Decisions should take the place of testing. This review should benefit practioners in empirical research of econometrics and in statistics in general. We emphasize thatWald's Statistical Decision Theory should be used in empirical research instead of “traditional" hypothesis testing (both frequentist and Bayesian testing), since hypothesis testing is only a one-sized-fits-all way to make decisions. The goal of empirical research is to make optimal decisions, and it is possible to make decisions without using testing.In this paper we will elaborate and give support to Manski's central message in “Statistical decision theory should supplant hypothesis tesing" (Manksi [15]
  see also Manski [16]). Decisions should take the place of testing. This review should benefit practioners in empirical research of econometrics and in statistics in general. We emphasize thatWald's Statistical Decision Theory should be used in empirical research instead of “traditional" hypothesis testing (both frequentist and Bayesian testing), since hypothesis testing is only a one-sized-fits-all way to make decisions. The goal of empirical research is to make optimal decisions, and it is possible to make decisions without using testing.
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