tidysynth (version 0.2.1)

grab_balance_table: grab_balance_table

Description

Compare the distributions of the aggregate-level predictors for the observed intervention unit, the synthetic control, and the donor pool average. Table helps user compare the the level of balance produced by the synthetic control.

Usage

grab_balance_table(data)

Value

tibble data frame containing balance statistics between the observed/synthetic unit and the donor pool for each variable used to fit the synthetic control.

Arguments

data

nested data of type tbl_df

Examples

# \donttest{
data(smoking)
smoking_out <-
smoking %>%
synthetic_control(outcome = cigsale,
                  unit = state,
                  time = year,
                  i_unit = "California",
                  i_time = 1988,
                  generate_placebos=FALSE) %>%
  generate_predictor(time_window=1980:1988,
                     lnincome = mean(lnincome, na.rm = TRUE),
                     retprice = mean(retprice, na.rm = TRUE),
                     age15to24 = mean(age15to24, na.rm = TRUE)) %>%
  generate_predictor(time_window=1984:1988,
                     beer = mean(beer, na.rm = TRUE)) %>%
  generate_predictor(time_window=1975,
                     cigsale_1975 = cigsale) %>%
  generate_predictor(time_window=1980,
                     cigsale_1980 = cigsale) %>%
  generate_predictor(time_window=1988,
                     cigsale_1988 = cigsale) %>%
  generate_weights(optimization_window =1970:1988,
                   Margin.ipop=.02,Sigf.ipop=7,Bound.ipop=6) %>%
  generate_control()

smoking_out %>% grab_balance_table()

# }