Estimation and inference under economic restrictions

Christopher F. Parmeter, Kai Sun, Daniel J. Henderson, Subal C. Kumbhakar

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


Estimation of economic relationships often requires imposition of constraints such as positivity or monotonicity on each observation. Methods to impose such constraints, however, vary depending upon the estimation technique employed. We describe a general methodology to impose (observation-specific) constraints for the class of linear regression estimators using a method known as constraint weighted bootstrapping. While this method has received attention in the nonparametric regression literature, we show how it can be applied for both parametric and nonparametric estimators. A benefit of this method is that imposing numerous constraints simultaneously can be performed seamlessly. We apply this method to Norwegian dairy farm data to estimate both unconstrained and constrained parametric and nonparametric models.

Original languageEnglish (US)
Pages (from-to)111-129
Number of pages19
JournalJournal of Productivity Analysis
Issue number1
StatePublished - Feb 2014
Externally publishedYes


  • Constraint weighted bootstrapping
  • Equality
  • Inequality
  • Linear regression estimators
  • Restrictions

ASJC Scopus subject areas

  • Business and International Management
  • Social Sciences (miscellaneous)
  • Economics and Econometrics


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