Market side descriptive statistics
demand_descriptives(object)
supply_descriptives(object)
# S4 method for market_model
demand_descriptives(object)
# S4 method for market_model
supply_descriptives(object)A model object.
A data tibble containing descriptive statistics.
Calculates and returns basic descriptive statistics for the model's demand or supply side data. Factor variables are excluded from the calculations. The function calculates and returns:
nobs Number of observations.
nmval Number of missing values.
min Minimum observation.
max Maximum observation.
range Observations' range.
sum Sum of observations.
median Median observation.
mean Mean observation.
mean_se Mean squared error.
mean_ce Confidence interval bound.
var Variance.
sd Standard deviation.
coef_var Coefficient of variation.
demand_descriptives: Demand descriptive statistics.
supply_descriptives: Supply descriptive statistics.
# initialize the basic model using the houses dataset
model <- new(
"diseq_basic", # model type
subject = ID, time = TREND, quantity = HS, price = RM,
demand = RM + TREND + W + CSHS + L1RM + L2RM + MONTH,
supply = RM + TREND + W + L1RM + MA6DSF + MA3DHF + MONTH,
fair_houses(), # data
correlated_shocks = FALSE # allow shocks to be correlated
)
# get descriptive statistics of demand side variables
demand_descriptives(model)
#> # A tibble: 13 × 7
#> col RM TREND W CSHS L1RM L2RM
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 nobs 130 130 130 130 130 130
#> 2 nmval 0 0 0 0 0 0
#> 3 min 578 15 18 1335. 577 577
#> 4 max 835 144 23 16438. 830 825
#> 5 range 257 129 5 15103. 253 248
#> 6 sum 82094 10335 2757 1154007 81836 81583
#> 7 median 600 79.5 21 9018. 600 600
#> 8 mean 631. 79.5 21.2 8877. 630. 628.
#> 9 mean_se 5.69 3.30 0.0944 386. 5.48 5.27
#> 10 mean_ce 11.2 6.48 0.185 757. 10.7 10.3
#> 11 var 4210. 1419. 1.16 19383358. 3908. 3614.
#> 12 sd 64.9 37.7 1.08 4403. 62.5 60.1
#> 13 coef_var 0.103 0.474 0.0507 0.496 0.0993 0.0958
# get descriptive statistics of supply side variables
supply_descriptives(model)
#> # A tibble: 13 × 7
#> col RM TREND W L1RM MA6DSF MA3DHF
#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 nobs 130 130 130 130 130 130
#> 2 nmval 0 0 0 0 0 0
#> 3 min 578 15 18 577 141 -587.
#> 4 max 835 144 23 830 1476 524.
#> 5 range 257 129 5 253 1335 1111
#> 6 sum 82094 10335 2757 81836 120133. 7205.
#> 7 median 600 79.5 21 600 938. 61.2
#> 8 mean 631. 79.5 21.2 630. 924. 55.4
#> 9 mean_se 5.69 3.30 0.0944 5.48 24.8 15.8
#> 10 mean_ce 11.2 6.48 0.185 10.7 48.5 31.1
#> 11 var 4210. 1419. 1.16 3908. 79717. 32659.
#> 12 sd 64.9 37.7 1.08 62.5 282. 181.
#> 13 coef_var 0.103 0.474 0.0507 0.0993 0.306 3.26