NEET Analysis

1 Analysis Plan

1. We can conduct descriptive statistics by three NEET groups to examine groups differences regarding demographic information, STG proportion, CLD outcomes.
2. We can use odds ratio (OR) significance tests to test the significance of groups differences regarding STGs. This can help us test the hypotheses that whether some specific STGs associate with long-term NEET or long-term exit.
3. To test the significance of specific pair of groups (such as long-term NEET vs. long-term exit), we can conduct multinominal logistic regression with regression coefficient (b1) is the estimated increase in the log odds.

2 Data Analysis

YM = Young mothers; HY = Hidden Youth; SD = School dropouts; PSD = Potential school dropouts; YASB = Youth with anti-social behavior(s); EMY = Ethnic minority youth; YRCS = Youth living in residential care settings; YO = Youth offender; YCR = Youth with criminal record(s); SEN = Youth with special education needs;

R Code

source("Code/data_Preparation_NEET0609.R")

2.1 Descriptive statistics

We have relatively high missing rate for education, because of respondents choose option 7 “none of the above”. Those samples will be removed for further OR analysis and multinomial regression analysis.

R Code

kable(res$desc, digits = 2) |> 
  row_spec(which(rownames(res$desc) %in% c("EduF", "EduM")), background = softcolors[3]) |> 
  kable_styling()

Table 1: Sample Size for demographic variables

	N	(NA)	Mean	SD	|	Median	Min	Max	Skewness	Kurtosis
Male	443		1.50	0.50	|	2	1	2	0.00	-2.00
Age	443		18.73	3.26	|	18	14	29	0.72	-0.05
EduF	170	273	2.56	1.31	|	2	1	6	0.88	0.11
EduM	184	259	2.44	1.17	|	2	1	6	0.84	0.40
EduS	439	4	2.91	0.85	|	3	1	6	1.24	2.39
Residence	443		17.60	4.48	|	17	1	29	-0.70	1.98
Assistance	438	5	1.84	0.37	|	2	1	2	-1.80	1.26

Remove missing values of residence and assistance. The final sample is N = 434.

Table 2: Frequency table for demographic variables

Var	Levels	N	%
Male	1	216	49.8
	2	218	50.2
Education	1	2	0.5
	2	130	30.0
	3	240	55.3
	4	35	8.1
	5	19	4.4
	6	8	1.8
Assistance	1	70	16.1
	2	364	83.9

Table 3: Sample size by groups

Subgroup	N	Prop(%)
Long-Term NEET	153	35.25
Long-Term Exit	50	11.52
Temporary NEET	231	53.23
Missing	1709	79.96

Table 3: the last column Prop(%) represents differnt things for NEET subgroups and Missing. For the missing group, it denotes the proportion of missing rate out of the whole samples (N= 2143). For NEET groups, those numbers denote proportion of the group size out of the NEET group (N = 434).

R Code

datNeetWide <- NEET_Subgroup_Cleaned_basic |> 
  dplyr::select(Male, Age, EduS, 
                Residence, Assistance,
                YM:SEN, CE1:CLDH1, Subgroup) |> 
  filter(!is.na(EduS), !is.na(Assistance))
datNeetLong <-  datNeetWide |> 
  rownames_to_column('id') |> 
  pivot_longer(-c(id, Subgroup), names_to = "Vars", 
               values_to = "Resp", values_transform = as.numeric)

datNeetLongTbl <- datNeetLong |> 
  group_by