By Oliver W Castalonge

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S. Drivers and Restraints for Economic and Technical Efficiency in Dairy Farms 35 Meeusen, W. and van den Broeck, J. (1977). Efficiency Estimation from Cobb-Douglas production functions with composed errors. International Economic Review, 18, 435-444. Nuthall, P. L. (2001). Managerial ability - a review of its basis and potential improvements using psychological concepts. Agricultural Economics, 24, 247-262. , Olson, K. and Brehmer, B. (1998). Understanding farmers' decision making proceses and improving managerial assistance.

Measures of Driving and Restraining Forces Some of the data needed to construct measures of driving and restraining forces for successful dairy farm performance were available in the dataset from Statistics Sweden. For example, measures of farm size and the age of the farmer were available in that dataset. Information on management's critical success factors (MCSFs) came from a dairy cow recording scheme conducted by the Swedish Dairy Association. Participation in this recording scheme is voluntary to the dairy farmers, but most of the farmers do participate.

Some of these data were available in existing data sources, whereas the remaining data had to be collected through a mail questionnaire. 1. Inputs, Outputs and Prices To construct the input and output variables needed to estimate the efficiency scores, farm level accounting data available from Statistics Sweden were used. org, 2005). Statistics Sweden collects numerous data from farms, with the main purpose to be the basis of the Farm Accounting Data Network (FADN). The data consist of the balance sheet and income statement of each farm in the sample, as well as of some additional data such as time worked at the farm and harvest.

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