A model of the Dutch labour market (AMO-K)

Summary So far, the labour market has not received any special attention from macro-econometric model builders. In this article an attempt has been made to describe the labour market in detail, paying attention to such important phenomena as the friction between labour supply and demand, the heterogeneity of labour, the dependence of labour supply on the labour-market situation, the Phillips mechanism and the impact of real wages on labour demand. To make it suitable for policy simulations, the model has been extended to a complete macro-econometric model, taking account of the fact that both labour and capital limit the production possibilities.This paper summarises an extensive Dutch report on the construction of a model for the Netherlands labour market. The title of the original report is AMO-K: Een arbeidsmarktmodel met twee categorieën arbeid; (AMO-K, A labour-market model with two categories of labour) ; it was published by the Netherlands Economic Institute (NEI) in Rotterdam in the so-called Olive Series, 1982-2, pp. 403ff. Some details of the model presented in that report were changed after its publication; see G. den Broeder, AMO-K 81-12, Tussenrapport betreffende de verdere ontwikkeling van het arbeidsmarktmodel (Interim report on the further development of the labourmarket model), Rotterdam, September 1983. Since then, only minor changes have been carried through. The model reproduced in this paper is the modified version. The model was developed within the National Programme of Labour-Market Research (NPAO) (now defunct), the NPAO organisation having granted a commission to the NEI in Rotterdam.     

Characteristics of agricultural input package users in communal clubs serviced by Acat in KwaZulu: A note

Characteristics of communal club members who use input packages are studied using a survey of communal clubs serviced by Africa Co‐operative Action Trust (Acat) in KwaZulu during 1989. Discriminant analysis shows that full input package adopters tend to belong to older clubs, have less formal savings and receive more visits each year from KwaZulu Department of Agriculture (KDA) extension officers. They also have a greater proportion of land under sugar‐cane, larger farm sizes and a higher rand monetary value of livestock.

Members of older clubs benefit from greater club experience in ordering inputs and liquidity for securing discounts on bulk orders. Clubs also enable scarce KDA extension manpower resources to be used more effectively by focusing extension efforts on groups rather than individual farmers. Sugar‐cane production probably indicates member willingness to innovate and the availability of funds to buy complete input packages for other crops. Increased access to land promotes input package adoption which can raise agricultural productivity. Development of institutional arrangements for a land rental market in KwaZulu should be considered. Higher monetary values of livestock reflect Increased ability to bear risk associated with technology adoption and that adopters have the means to purchase input packages     

Is your maternity policy ready for the '90s?

The increasing number of women in the work force has forced some companies to take a critical look at their maternity policies. Direct costs for these policies are hard to measure. But, demographic, social and legislative pressures may force companies that haven't addressed this issue to do so in the '90s.     

A hospital without walls

Pacific Presbyterian Medical Center has chalked up an impressive string of successes. What's ahead? A $20 million cancer center.     

Socio‐economic factors determining the success achieved among cotton‐adopting households in two magisterial districts of KwaZulu

The aim of the paper is to investigate certain aspects of the post‐adoption behaviour of dryland cotton farmers in the Ubombo and Hlabisa magisterial districts of KwaZulu. Particular attention is paid to the socio‐economic determinants of the success (returns per hectare) of the household cotton enterprise.

Multi‐stage sampling methods were used to draw a random sample of fifty cotton‐farming households from each of the two study districts. The data were collected by interview survey and analysed using principal components and regression techniques.

Results suggest that the success of the household enterprise in both areas is largely determined by the socio‐economic environment under which the producer operates. The most important success‐determining factors are those relating to the human capital endowments and economic status of the household.