Elementary construction and interpretation of financial statements : questions and problems in applied economics /

Mode of access: Internet.

Studies in agricultural economics by the Texas Applied Economics Club /

Preface.--Joekel, S.L. The crop mortgage system in Texas.--Haney, L.H. The need and possibility of coöperative rural credity in Texas.--Trenckmann, W. Cop̈erative agricultural credit.--Lamaster, C.E. Coöperative production by farmers.--Wythe, George. Coöperative marketing of fruit, truck and cotton, chiefly in Texas.--Voorhies, H.L. Farmers' educational and coöperative union in Texas.--Leonard, W.E. Seasonal industries and their labor supplies in Texas.--Leftwich, S.M. The farm labor problem.--Griffin, M.H. A study in highway administration with special reference to Texas needs.--Vaughan, F.L. Railway rates and services as affecting the Texas farmer.--Randolph, Ralph. The theory and practice of speculation on produce exchanges.--Donaldson, W.T. Farm tenure in Texas.--Dailey, B.E. Our system of taxation and its effect on the farmer.--Index.

Spatial inequality in the Australian youth labour market: The role of neighbourhood composition

Australia has experienced a polarization of income and labour market outcomes over the past 20 years (GREGORY and HUNTER, 1995; HARDING, 1996). This has taken an increasingly spatial dimension (HUNTER. 1995a, 1995b), giving rise to concerns that the spatial pooling of disadvantage may hamper the labour market outcomes of youth growing up in poorer residential areas. This paper explores the role that the differential neighbourhood 'quality' of an individual's residential area at age 16 has on their labour market outcomes at age 18 and age 21. Evidence is found that youth who live in poorer quality neighbourhoods face an increased likelihood of being unemployed at both the age of 18 and 21, even after controlling for personal and family characteristics.

Localizing a global discipline - Designing new planning programs in Sri Lanka

In order to be relevant and useful in a fragmented developing country context, community and regional planning needs to shift away from the use of rigid tools to more flexible, adaptive approaches. An international review of planning curricula indicated a widespread consensus with respect to key competencies required of planners. This understanding was used in the development of new teaching programs at three Sri Lankan universities. Complementing the technical core knowledge areas, strong emphases on problem structuring, critical and strategic thinking, and the understanding of the political and institutional contexts appear to be crucial to making the agenda of planning for sustainable development more than a fashionable cliche. In order for these core areas to have relevance in a developing country context, however, planning curricula need to achieve a balance between local priorities and a global perspective.

A Bayesian approach to imposing curvature on distance functions

The estimated parameters of output distance functions frequently violate the monotonicity, quasi-convexity and convexity constraints implied by economic theory, leading to estimated elasticities and shadow prices that are incorrectly signed, and ultimately to perverse conclusions concerning the effects of input and output changes on productivity growth and relative efficiency levels. We show how a Bayesian approach can be used to impose these constraints on the parameters of a translog output distance function. Implementing the approach involves the use of a Gibbs sampler with data augmentation. A Metropolis-Hastings algorithm is also used within the Gibbs to simulate observations from truncated pdfs. Our methods are developed for the case where panel data is available and technical inefficiency effects are assumed to be time-invariant. Two models-a fixed effects model and a random effects model-are developed and applied to panel data on 17 European railways. We observe significant changes in estimated elasticities and shadow price ratios when regularity restrictions are imposed. (c) 2004 Elsevier B.V. All rights reserved.

Estimating state-contingent production frontiers

Chambers and Quiggin (2000) use state-contingent representations of risky production technologies to establish important theoretical results concerning producer behavior under uncertainty. Unfortunately, perceived problems in the estimation of state-contingent models have limited the usefulness of the approach in policy formulation. We show that fixed and random effects state-contingent production frontiers can be conveniently estimated in a finite mixtures framework. An empirical example is provided. Compared to conventional estimation approaches, we find that estimating production frontiers in a state-contingent framework produces significantly different estimates of elasticities, firm technical efficiencies, and other quantities of economic interest.

Estimating State-contingent Production Frontiers

Chambers and Quiggin (2000) use state-contingent representations of risky production technologies to establish important theoretical results concerning producer behavior under uncertainty. Unfortunately, perceived problems in the estimation of state-contingent models have limited the usefulness of the approach in policy formulation. We show that fixed and random effects state-contingent production frontiers can be conveniently estimated in a finite mixtures framework. An empirical example is provided. Compared to conventional estimation approaches, we find that estimating production frontiers in a statecontingent framework produces significantly different estimates of elasticities, firm technical efficiencies and other quantities of economic interest.