INTERREGIONAL FEEDBACKS IN INPUT-OUTPUT MODELS: THE LEAST UPPER BOUND*

ABSTRACT. The least upper bound to the overall percentage error resulting from the omission of interregional feedbacks in input-output analysis is defined. This limiting value is the most informative of all upper bounds. A procedure for its computation is outlined and a number of experiments, using U.S. data, are discussed.     

UPPER BOUNDS ON THE SIZES OF INTERREGIONAL FEEDBACKS IN MULTIREGIONAL INPUT-OUTPUT MODELS*

ABSTRACT. Upper bounds are presented for a measure of the overall percentage error caused in a multiregional input-output model when interregional feedback effects are ignored. This error figure is thus a measure of the magnitude of interregional linkages. The upper bounds are expressed as a function of the levels of self-sufficiency in the regions in the model and of the norms of the regional technical coefficients matrices. Experimental results are presented for a variety of examples that are thought to reflect real-world situations, and it is clear that in many cases the upper bound (and hence the error) is extremely small. The implication is that single-region input-output models may be adequate for a variety of questions.     

SUPPLY-SIDE MULTIREGIONAL INPUT-OUTPUT MODELS*

ABSTRACT This paper introduces a new class of supply-side multiregional input-output (MRIO) models and provides the necessary and sufficient conditions on the regional trade matrices that ensure that a generalized supply-side model will be convergent. The paper also introduces a new version of the row coefficient model, conceived as the “mirror image” of the Chenery-Moses demand-side column coefficient MRIO model. Given that the conventional supply-side input-output model has been shown to perform equally as well as the demand side model in forecasting exercises, the supply-side MRIO model is expected to be of value for policy and planning purposes. Moreover, this model is of potential theoretical value for a broad synthesis of demand-side and supply-side MRIO models.     

NON-NESTED TESTS ON THE WEIGHT STRUCTURE IN SPATIAL AUTOREGRESSIVE MODELS: SOME MONTE CARLO RESULTS*

ABSTRACT. This paper presents some further results with respect to hypothesis tests for the appropriate structure of dependence in mixed regressive/spatial-autoregressive relations. Three tests on non-nested hypotheses are considered, which are based on the use of augmented regressions, and their small sample performance is compared in a number of Monte Carlo simulation experiments.     

TRANSBOUNDARY INCOME AND EXPENDITURE FLOWS IN REGIONAL INPUT-OUTPUT MODELS*

ABSTRACT. Nearly all regional input-output models have been constructed without a proper accounting of inflows and outflows of personal income and personal consumption expenditures. Typically invoked is a no cross-payments assumption, analogous to the no cross-hauling assumption for commodities. We present a new accounting framework based on the classification of flows according to the location of income generation, receipt, and spending, and argue that only flows endogenous in all three respects should be part of a closed regional I-O model. We use the framework to compute the upward bias in multipliers in a typical regional I-O model. We also present several methods for estimating transboundary flows.     

HOUSEHOLD INCOME AND EXPENDITURE IN EXTENDED INPUT-OUTPUT MODELS: A COMPARATIVE THEORETICAL AND EMPIRICAL ANALYSIS*

ABSTRACT At the regional level in-migrant and indigenous workers are likely to have different income levels and consumption propensities. The effects that these differences have upon a local economy are explored within an extended input-output modeling framework. Two iterative input-output models, due to Miernyk et al. and Blackwell, are recast as systems of simultaneous equations and are shown to produce identical results. A detailed analysis is made of model structure and a method is outlined for the decomposition of income multipliers. Empirical versions of the two models, for Boulder and Cork, are reconstructed with data from the original studies and are used to make comparisons of the two local economies.     

NEGATIVE FEEDBACKS IN THE ECONOMY AND INDUSTRIAL LOCATION*

ABSTRACT. Incorporating regional asymmetry and negative feedbacks (congestion) in a model of economic geography and international trade shows that complete specialization of production at one location is unlikely. We identify an agglomerating force: the home market effect, and two spreading forces, competition for demand from immobile sectors of production and congestion. We demonstrate that negative feedbacks can explain the economic viability of small industrial regions observed in the real world. Simulations clarify the basic structure of the model.