Introduction to Econometric Production Analysis with R
Introduction to Econometric Production Analysis with R
Introduction to Econometric Production Analysis with R

Last updated on 2018-02-02

About the Book

Knowledge about production technologies and producer behavior is important for politicians, business organizations, government administrations, financial institutions, and other national and international organizations that desire to know how contemplated policies and market conditions can affect production, prices, income, and resource utilization in agriculture as well as in other industries. The same knowledge is relevant in consultancy of single firms who also want to compare themselves with other firms and their technology with the best practice technology. The participants of my courses in the field of econometric production analysis will obtain relevant theoretical knowledge and practical skills so that they can contribute to the knowledge about production technologies and producer behavior. After completing my courses in the field of econometric production analysis, the participants should be able to:

  • use econometric production analysis and efficiency analysis to analyze various real-world questions,
  • interpret the results of econometric production analyses and efficiency analyses,
  • choose a relevant approach for econometric production and efficiency analysis, and
  • critically evaluate the appropriateness of a specific econometric production analysis or efficiency analysis for analyzing a specific real-world question.

These lecture notes focus on practical applications of econometrics and microeconomic production theory. Hence, they complement textbooks in microeconomic production theory (rather than substituting them).

About the Author

Arne Henningsen
Arne Henningsen

Arne Henningsen is Associate Professor at the Department of Food and Resource Economics at the University of Copenhagen. He is specialized in econometric production analysis, e.g. using stochastic frontier analysis, nonparametric kernel regression, and other microeconometric methods. The author has published (with co-authors) several R packages (e.g. "frontier" for stochastic frontier analysis, "micEcon" for microeconomic analysis, "micEconCES" for estimating the Constant Elasticity of Substitution (CES) function, "micEconSNQP" for estimating the normalized quadratic profit function; "micEconAids" for estimating the Almost Ideal Demand System (AIDS), "systemfit" for estimating systems of equations, "sampleSelection" for estimating Heckman-type sample selection models, "censReg" for censored regression, and "maxLik" for general maximum likelihood (ML) estimation.

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