Measuring the Difference (<i>X — Y</i>) of Simulated Distributions: A Convolutions Approach

• Gregory L. Poe

  Department of Agricultural, Resource, and Managerial Economics Cornell University

• Eric K. Severance‐Lossin

  Department of Agricultural Economics University of Wisconsin

• Michael P. Welsh

  HBRS, Inc.

抄録

Resampling or simulation techniques are now frequently used in applied economic analyses. However, significance tests for differences between empirical distributions have either invoked normality assumptions or have used nonoverlapping confidence interval criteria. We demonstrate that such methods generally will not be appropriate, and we present an empirical test, based on the method of convolutions, for assessing the statistical significance between approximate empirical distributions created by resampling techniques. The proposed convolutions approach is illustrated in a case study involving empirical distributions from dichotomous choice contingent valuation data.

収録刊行物

• American Journal of Agricultural Economics

  American Journal of Agricultural Economics 76 (4), 904-915, 1994-11

  Wiley

キーワード

• Economics and Econometrics
• Agricultural and Biological Sciences (miscellaneous)

詳細情報

• CRID: 1360564064080965376
• NII論文ID: 30004482039
• DOI: 10.2307/1243750
• ISSN: 14678276
• ISSN: 00029092
• Web Site: https://onlinelibrary.wiley.com/doi/pdf/10.2307/1243750
• データソース種別:
  • Crossref
  • CiNii Articles