Agricultural Household Modelling and Family Economics by FRANCE CAILLAVET, HERVÉ GUYOMARD and ROBERT LIFRAN (Eds.)


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Extra resources for Agricultural Household Modelling and Family Economics

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In s o m e cases this would enable us to fill in missing information. T h e quality of t h e data could also intervene in t h e choice between several models. In s o m e cases the only possibility is a d e m a n d system estimation. T h e possibility of an efficient instrumentation depends upon t h e availability of suitable instruments. 36/Agricultural Household Modelling and Family Economics Realism and consistency of the model T h e only clearly consistent method is the complete model since it takes explicitly into account all the aspects of the agents' behaviour.

Local w a g e s are constructed using the community questionnaire. Finally, this construction is repeated in 1985, 1986 and the samples are merged using the household number. Annex 2. 1. 1796 WA61 Definitions: TERRE6 = land owned in 1986 (in 10ha); VEQ6 = equipment in 1986 (in 10000CFA); TER6 = land used in 1986(in 10ha); CHIM6 = chemical inputs in 1986 (expenditures in 10000CFA); P6 = price index of production in 1986; NM6, NF6, NAM6, NAF6 = numbers of household members in 1986 in the categories: male, female, adult male, adult female; LABV6 = hired labour (quantity); HFA61, HFA62 = annual hours worked on the farm respectively by family male and family female members of the household (in thousands); WA61 = daily local market wage (in 100CFA); YVNET = production in 1986 (index of quantity, net of seeds); G P V 0 6 1 , GPV063 = indices of production for trees or other crops.

39 Annex 1a. 3) 40/Agncultural Household Modelling and Family Economics Annex 1b. 1) (1196) The Role of Production Decisions in Modelling the Consumption Patterns.. J41 Annex 1c. 4) (1536) 42/AgHcultural Household Modelling and Family Economics Annex 1 d . 3) The Role of Production Decisions in Modelling the Consumption Patterns... /43 Annex 2. Formula of the tests Test of the instrumental variables Consider Y t h e vector of dependent variable observations (N observations), X the matrix of the k vectors of explanatory variables (the rank of X is k), Ζ t h e matrix of the / instrumental variables.

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