Description Details Author(s) References Examples
We provide an R tool for teaching in Social Sciences. It allows the computation of index numbers. It is a measure of the evolution of a fixed magnitude for only a product of for several products. It is very useful in Social Sciences. Among others, we obtain simple index numbers (in chain or in serie), index numbers for not only a product or weighted index numbers as the Laspeyres index (Laspeyres, 1864), the Paasche index (Paasche, 1874) or the Fisher index (Lapedes, 1978).
The DESCRIPTION file:
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Once we have defined a magnitude for a product (of several products), we can analyse how it (they) evolves along the time. Index Numbers model this effect in Social Science. In this sense, several approaches may be considered. We include in this package several options of analysing this problem.
Alejandro Saavedra-Nieves, Paula Saavedra-Nieves
Maintainer: Alejandro Saavedra-Nieves <alejandro.saavedra.nieves@gmail.com>
- (2004) Consumer Price Index Manual: Theory and Practice. ILO, IMF. CPI Manual OECD, UN, Eurostat, and The World Bank by ILO, Geneva.
Index Number (2008) In: The Concise Encyclopedia of Statistics. Springer, New York, NY. <doi:https://doi.org/10.1007/978-0-387-32833-1>.
Laspeyres, E. (1871) Die Berechnung einer mittleren Waarenpreissteigerung. Jahrb. Natl. Stat. 16, 296–314.
Paasche, H. (1874) Uber die Preisentwicklung der letzten Jahre nach den Hamburger Borsen-notirungen. Jahrb. Natl. Stat. 23, 168–178.
1 2 | prices<-c(70,75,77,77,85,90,85,75,77,87,85,90,70,75,77,77,85,90)
index.number.serie(prices,name="Prices",opt.plot=TRUE,opt.summary=TRUE)
|
Index number in serie
Summary
Min.=100
Stage=12
Max.=128.571428571429
Stage=5
$Summary
Min. 1st Qu. Median Mean 3rd Qu. Max.
100.0 110.0 110.0 115.7 121.4 128.6
$`Index number`
Stages Prices Index number
1 0 70 100.0000
2 1 75 107.1429
3 2 77 110.0000
4 3 77 110.0000
5 4 85 121.4286
6 5 90 128.5714
7 6 85 121.4286
8 7 75 107.1429
9 8 77 110.0000
10 9 87 124.2857
11 10 85 121.4286
12 11 90 128.5714
13 12 70 100.0000
14 13 75 107.1429
15 14 77 110.0000
16 15 77 110.0000
17 16 85 121.4286
18 17 90 128.5714
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