Сравнение методов

	Agricultural Household Model	Agricultural Market Integration Analysis
Область	Food Agriculture Studies	Food Agriculture Studies
Семейство	Regression model	Regression model
Год появления	1986	1986
Автор метода	Inderjit Singh, Lyn Squire & John Strauss	Martin Ravallion
Тип	Structural production-consumption household model with separability testing	Spatial price cointegration and transmission model
Основополагающий источник	Singh, I., Squire, L., & Strauss, J. (Eds.). (1986). Agricultural Household Models: Extensions, Applications, and Policy. Baltimore: Johns Hopkins University Press for the World Bank. ISBN: 9780801932489	Ravallion, M. (1986). Testing Market Integration. American Journal of Agricultural Economics, 68(1), 102-109.
Другие названия	Farm Household Model, Singh-Squire-Strauss Model, Non-Separable Household Model, Agricultural Household Production-Consumption Model	Spatial Market Integration Analysis, Price Transmission Analysis, Cointegration of Food Prices, Ravallion Market Integration Test
Связанные	3	3
Сводка	The agricultural household model treats the farm household as a single unit that is simultaneously a producer and a consumer, choosing how much to grow, how much labour to hire or supply, and how much to consume — decisions that ordinary firm theory and consumer theory treat as separate. Synthesised in Singh, Squire, and Strauss's 1986 World Bank volume, the model's central result is conditional: when all markets (especially for labour) function perfectly, the household's problem is recursive — it maximises farm profit first and then spends that profit like any consumer, so production decisions are independent of preferences. But when markets fail, the two sides fuse: a shadow wage replaces the market wage and household composition begins to drive production. Whether that separation holds is an empirical question, and Benjamin's 1992 Econometrica test is the canonical way to answer it.	Agricultural market integration analysis asks whether prices for the same commodity in geographically separated markets move together — and how quickly and symmetrically a price change in one market is transmitted to another. Martin Ravallion's 1986 article 'Testing Market Integration', using Bangladesh rice prices, set the template: spatial price relationships are dynamic, so integration must be tested in a model that distinguishes short-run from long-run co-movement. The modern toolkit formalises this with cointegration and error-correction methods — long-run integration means prices share a common stochastic trend, while the error-correction term measures how fast deviations from the long-run relationship are arbitraged away. Barrett and Li later sharpened the conceptual distinction between mere price equilibrium and genuine tradability-based integration.