Proposition d'une méthode d'évaluation du capital humain : cas de la filière riz pour le district de Mandoto et de Betafo

Scénario 1

Variables exogènes

obs	AGE	ASSOC	DISCUT_1	EDU	EXPCE	FORMA	INE
2	26	1	1	8.5	5	4	31.66
3	27	1	1	8.5	6	4	31.66
4	28	1	1	8.5	7	4	31.66
5	29	1	1	8.5	8	4	31.66
6	30	1	1	8.5	9	4	31.66
7	31	1	1	8.5	10	4	31.66
8	32	1	1	8.5	11	4	31.66
9	33	1	1	8.5	12	4	31.66
10	34	1	1	8.5	13	4	31.66
11	35	1	1	8.5	14	4	31.66
12	36	1	1	8.5	15	4	31.66
13	37	1	1	8.5	16	4	31.66

Variables endogènes

obs	ICS_1	ICP_1	IKH_1
2	127.9381	39.90249	78.85875
3	121.3389	40.55085	75.91051
4	115.08	41.20975	73.12475
5	109.144	41.87936	70.49325
6	103.5142	42.55984	68.00822
7	98.17479	43.25138	65.6623
8	93.11079	43.95416	63.44847
9	88.30799	44.66836	61.36011
10	83.75293	45.39416	59.39093
11	79.43282	46.13176	57.53496
12	75.33556	46.88134	55.78656
13	71.44963	47.6431	54.14036

Taux de croissance

Dependent Variable: LOG(IKH_1)
Variable	Coefficient	Std. Error	t-Statistic	Prob.
C	4.428799	0.003256	1360.083	0.0000
T	-0.034221	0.000394	-86.76818	0.0000

Dependent Variable: LOG(ICS_1)
Variable	Coefficient	Std. Error	t-Statistic	Prob.
C	4.957465	9.30E-08	53299756	0.0000
T	-0.052959	1.13E-08	-4701050.	0.0000

Ecarts par rapport au scénario de base (%)

obs	100*(ICP_1-ICP_0)/ICP_0	100*(ICS_1-ICS_0)/ICS_0	100*(IKH_1-IKH_0)/IKH_0
2	0.000000	72.58376	47.20673
3	0.000000	72.58382	46.18906
4	0.000000	72.58372	45.15319
5	0.000000	72.58372	44.10060
6	0.000000	72.58375	43.03289
7	0.000000	72.58379	41.95185
8	0.000000	72.58380	40.85925
9	0.000000	72.58380	39.75699
10	0.000000	72.58379	38.64711
11	0.000000	72.58377	37.53158
12	0.000000	72.58381	36.41253
13	0.000000	72.58377	35.29208