**Author details**

education hence the inverse relationship between belonging to an association and

**ENV1998 ENV2008 School Coef. z School Coef. z** infracom 0.2844 1.40 securit 0.5716\*\* 2.39 Transp 0.2222 1.40 infracom 1.81e-07\*\*\* 2.71 EPPm 0.2190\*\*\* 3.18 D\_infocom1 0.4196\*\*\* 2.82 Ets\_gén\_pcm 0.6429\*\*\* 7.52 D\_infocom 0.1293\*\*\* 3.12 \_cons 19.6011\*\*\* 4.41 D\_adm0 0.0525 1.09

> D\_adm1 0.1611\*\*\* 3.61 D\_adm 0.0913\*\*\* 5.19 D\_securit1 0.1474 0.92 D\_securit 0.1244 1.45 D\_prim 1.1673\*\*\* 7.97 D\_second1 0.2504 1.21 D\_second 1.4441\*\*\* 9.24 \_cons 1.9054\*\*\* 3.55

Number of observations = 3964 LR chi2(78) = 2605.07 Prob > chi2 = 0.0000 Pseudo R2 = 0.3473

Pseudo log likelihood = 2447.6977

Also, the presence of secondary schools is beneficial for the continuity of studies. This positive relationship between the supply of education and the probability of attending secondary school is reinforced by the presence of communication infrastructures and the reduction of distances to the first educational, security, and

This study aims to elucidate the factors that underlie the decision of households to invest in the education of their children from the Ivorian case. It is an application of the multinomial logit model using data from the living standards surveys of 1998

The findings show that in Côte d'Ivoire the age of the children, composition of the household, as well as education supply (the probability of being able to go to secondary school combined with the proximity of primary schools) are the factors that motivate parents to enroll their children in primary school. For the continua-

tion of studies at the secondary level, the level of income is very decisive. Sociodemographic factors also play a very important role, such as the size and

the chances of going to secondary school in 2008.

administrative infrastructure (see [30]).

Number of observations = 4055 Wald chi2(56) = 1179.88 Prob > chi2 = 0.0000 Pseudo R2 = 0.5862

*Education Systems Around the World*

Pseudo log likelihood = 1408.2873

*Source: Author using data from ENV98 and ENV2008.*

*\*Significance at the threshold of 10% \*\*Significance at the threshold of 5%. \*\*\*Significance at the threshold of 1%.*

*Results of multinomial regressions.*

**5. Conclusion**

and 2008.

**124**

**Table 4.**

N'da Koffi Christan Université Jean Lorougnon Guédé, Daloa, Côte d'Ivoire

\*Address all correspondence to: nda.christian@gmail.com; nda.christian@ujlg.edu.ci

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