Empirical models of farmer behaviour using psychological, social and economic variables. Part I: Linear modelling

E J  Austin; J  Willock; I J  Deary; G J  Gibson; J B  Dent; G  Edwards-Jones; O  Morgan; R  Grieve; A  Sutherland

Empirical models of farmer behaviour using psychological, social and economic variables. Part I: Linear modelling

E J Austin, J Willock, I J Deary, G J Gibson, J B Dent, G Edwards-Jones, O Morgan, R Grieve, A Sutherland

School of Philosophy, Psychology and Language Sciences

Research output: Contribution to journal › Article › peer-review

Abstract / Description of output

The analysis of social science data is increasingly dependent on the construction of mathematical models to predict and explain behaviour. This and the following paper have two objectives. The first objective is to describe some of the results of a recent survey on farmer decision-making and to present a number of models which have been developed using the data from this survey. The second objective is to use these models as a framework for a general discussion of the wide range of techniques available for the modelling of psychological, social and economic data. The classification of models into categories such as mechanistic and empirical, and the range of mathematical techniques available are described. The use of linear modelling is illustrated with examples from the data. (C) 1998 Elsevier Science Ltd. All rights reserved.

Original language	English
Pages (from-to)	203-224
Number of pages	22
Journal	Aspects of Applied Biology
Volume	58
Issue number	2
Publication status	Published - Oct 1998

Keywords / Materials (for Non-textual outputs)

VALUES
STRESS
ATTITUDES
RISK
WORK

Cite this

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title = "Empirical models of farmer behaviour using psychological, social and economic variables. Part I: Linear modelling",

abstract = "The analysis of social science data is increasingly dependent on the construction of mathematical models to predict and explain behaviour. This and the following paper have two objectives. The first objective is to describe some of the results of a recent survey on farmer decision-making and to present a number of models which have been developed using the data from this survey. The second objective is to use these models as a framework for a general discussion of the wide range of techniques available for the modelling of psychological, social and economic data. The classification of models into categories such as mechanistic and empirical, and the range of mathematical techniques available are described. The use of linear modelling is illustrated with examples from the data. (C) 1998 Elsevier Science Ltd. All rights reserved.",

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author = "Austin, {E J} and J Willock and Deary, {I J} and Gibson, {G J} and Dent, {J B} and G Edwards-Jones and O Morgan and R Grieve and A Sutherland",

year = "1998",

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language = "English",

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AU - Austin, E J

AU - Willock, J

AU - Deary, I J

AU - Gibson, G J

AU - Dent, J B

AU - Edwards-Jones, G

AU - Morgan, O

AU - Grieve, R

AU - Sutherland, A

PY - 1998/10

Y1 - 1998/10

N2 - The analysis of social science data is increasingly dependent on the construction of mathematical models to predict and explain behaviour. This and the following paper have two objectives. The first objective is to describe some of the results of a recent survey on farmer decision-making and to present a number of models which have been developed using the data from this survey. The second objective is to use these models as a framework for a general discussion of the wide range of techniques available for the modelling of psychological, social and economic data. The classification of models into categories such as mechanistic and empirical, and the range of mathematical techniques available are described. The use of linear modelling is illustrated with examples from the data. (C) 1998 Elsevier Science Ltd. All rights reserved.

AB - The analysis of social science data is increasingly dependent on the construction of mathematical models to predict and explain behaviour. This and the following paper have two objectives. The first objective is to describe some of the results of a recent survey on farmer decision-making and to present a number of models which have been developed using the data from this survey. The second objective is to use these models as a framework for a general discussion of the wide range of techniques available for the modelling of psychological, social and economic data. The classification of models into categories such as mechanistic and empirical, and the range of mathematical techniques available are described. The use of linear modelling is illustrated with examples from the data. (C) 1998 Elsevier Science Ltd. All rights reserved.

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KW - STRESS

KW - ATTITUDES

KW - RISK

KW - WORK

M3 - Article

SN - 0265-1491

VL - 58

SP - 203

EP - 224

JO - Aspects of Applied Biology

JF - Aspects of Applied Biology

IS - 2

ER -

Empirical models of farmer behaviour using psychological, social and economic variables. Part I: Linear modelling

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

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