Qlab 29/21/2023 ![]() Now I’ll examine appleProdFr86 dataset: data("appleProdFr86", package = "micEcon") Price index of the aggregate output (not in the original data set, artificially generated)ĭummy variable indicating the use of an advisory service (not in the original data set, artificially generated) Quantity index of all outputs (not in the original data set, calculated as \(580,000 \times (qApples + qOtherOut)\)) This data frame contains the following columns: VariableĬosts of labour (including remuneration of unpaid family labour)Ĭosts of intermediate materials (e.g. seedlings, fertilizer, pesticides, fuel) These data have been extracted from a panel data set that was used in Ivaldi et al. (1996).” Library(stats4) #this is a base package so don't install this!įrom package’s help: “The appleProdFr86 data frame includes cross-sectional production data of 140 French apple producers from the year 1986. Packages installation: # install.packages(c("micEcon","lmtest","bbmle","miscTools")) I’ll use that package and some others to show some concepts from Microeconomic Theory. This is a summary of a very old collection of materials that I used as teaching assistant (before 2017).Īmong those materials I found some class notes from Arne Henningsen, the author of micEcon R package.
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