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PRODUCTION ANALYSIS: A NON‐PARAMETRIC TIME SERIES APPLICATION TO US AGRICULTURE
Author(s) -
Chavas JeanPaul,
Cox Thomas L.
Publication year - 1997
Publication title -
journal of agricultural economics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.157
H-Index - 61
eISSN - 1477-9552
pISSN - 0021-857X
DOI - 10.1111/j.1477-9552.1997.tb01158.x
Subject(s) - time series , econometrics , production (economics) , agriculture , series (stratigraphy) , parametric statistics , profit (economics) , productivity , non profit , economics , agricultural productivity , computer science , mathematics , microeconomics , statistics , macroeconomics , business , ecology , paleontology , machine learning , biology , business administration
The paper investigates production analysis using non‐parametric methods. When all data are not consistent with profit maximisation, we propose a method relying on the concept of ‘effective inputs and outputs’ to evaluate technology and economic behaviour. The approach is illustrated in a time series application to US agriculture. The results provide empirical measures of productivity growth. They also generate useful information on the ‘bias in technical change’ in US agriculture.