An economic analysis of the illegal marijuana market in Slovenia

Figures & data

Table 1. Socio-economic characteristics of marijuana users in Slovenia (percentage of various socio-economic characteristics in the sample that were past-year marijuana users), n = 328.

Gender (%)		Marital status (%)		Dependent children (%)		Type of household (%)
Male	5.9	Married	0.7	With	15.1	Single parent	7.4
Female	2.8	Single	9.1	Without	15.0	Both parents	4.1
Main activity (%)				Education (%)		Household income
						(EUR)	(%)
Employed, self-employed, farmer		2.4		Primary education or less	5.7	up to 500	5.3
In education process		16.0		Secondary education	4.5	501–700	3.4
Retired		0.0		University or other higher education	3.4	701–900	4.2
Unemployed		6.9				901–1,100	3.4
						1,101–1,300	5.0
						1,301–1,500	4.1
						1,501–1,700	6.1
						1,701–1,900	3.7
						1,901–2,000	3.5
						above 2,000	6.1

Source: NIJZ (2012); own calculations.

Figure 1. Percentage of past-year marijuana users in the general population by age, n = 328.

Source: NIJZ (2012); own calculations.

Table 2. Estimated logit model for the probability of marijuana use in the past year.

Explanatory variable	Regression coefficient	Standard error	Wald Chi	Significance	Odds ratio
Age (in years)	–0.04100	0.01467	7.805	0.005	0.960
Gender (1 = male)	0.54230	0.18419	8.669	0.003	1.720
Married (1 = yes)	–1.09594	0.31947	11.768	0.001	0.334
Type of household (1 = both parents)	–0.26868	0.24794	1.174	0.279	0.764
Student status (1 = student)	0.75599	0.27850	7.369	0.007	2.130
Employment status (1 = unemployed)	0.67000	0.32974	4.129	0.042	1.954
Household income (in 1000 euros)	0.50399	0.14090	12.795	0.000	1.655
Cigarette smoker (1 = yes)	1.28404	0.18228	49.622	0.000	3.611
Recent alcohol user (1 = yes)	0.78719	0.26620	8.745	0.003	2.197
Acquaintance of someone who is a user (1 = yes)	3.99599	0.63416	39.706	0.000	54.380
Intercept	–6.85183	0.88666	59.717	0.000
n	3,529
log L	–877.96
Pseudo R^2	0.448

Source: NIJZ (2012); own calculations.

Table 3. Estimated probit model for the probability of marijuana use in the past year.

Explanatory variable	Regression coefficient	Standard error	Wald Chi	Significance	Marginal effect
Age (in years)	–0.02226	0.00749	8.832	0.003	–0.0017
Gender (1 = male)	0.28272	0.09882	8.186	0.004	0.0294
Married (1 = yes)	–0.48921	0.15380	10.118	0.001	–0.0289
Type of household (1 = both parents)	–0.19277	0.13584	2.014	0.156	–0.0100
Student status (1 = student)	0.40011	0.14866	7.244	0.007	0.0453
Employment status (1 = unemployed)	0.32917	0.17529	3.526	0.060	0.0385
Household income (in 1000 euros)	0.26776	0.07623	12.339	0.000	0.0268
Cigarette smoker (1 = yes)	0.66952	0.09984	44.966	0.000	0.0985
Recent alcohol user (1 = yes)	0.42151	0.13688	9.483	0.002	0.0478
Acquaintance of someone who is a user (1 = yes)	1.66324	0.21563	59.498	0.000	0.6705
Intercept	3.20296	0.38551	69.028	0.000
n	3,529
log L	–791.25
Pseudo R^2	0.394

Source: NIJZ (2012); own calculations.

National Institute of Public Health (NIJZ). (2012). Survey on the use of tobacco, alcohol and other drugs in Slovenia, 2011–2012. Ljubljana: National Institute of Public Health.

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