A QUARTERLY ECONOMETRIC MODEL OF FACTOR DEMANDS IN REGIONAL MANUFACTURING

This paper presents a model of demand for factor inputs in regional manufacturing industry. Demands for labor and capital are distinguished from demands for factor services using a generalization of the disequilibrium adjustment framework of Nadiri and Rosen. The generalization allows for a richer variety of responses to external shocks and involves the distinction between systematic and error dynamics.
The model is estimated for the period 1963:I-1980:I using data from the Cincinnati SMSA and appropriate econometric techniques. Substantial attention is paid to the dynamic response of the estimated equations.     

A RESIDENTIAL ENERGY MARKET MODEL: AN ECONOMETRIC ANALYSIS*

This paper develops a multisector residential energy policy model. This model hypothesizes that household energy behavior is affected by conditions in the housing, the mortgage finance, and the energy markets. The relationships encompassed by the model are specified with 32 single and simultaneous equations and tested with quarterly data drawn from behavior in Delaware. After the testing and evaluation of the model for its statistical performance, thereafter, three energy policies are simulated a 5 percent residential energy consumption tax, a set of conventional insulation requirements for all new housing, and a passive solar-installation requirement for all new housing. These policy choices are evaluated in terms of their impact on energy consumption, prices, demand and size of different types of housing permits, and mortgage financing. Finally, the economic and social implications of these policy impacts are discussed.     

A MIXED-FREQUENCY MODEL OF REGIONAL OUTPUT*

ABSTRACT. This paper proposes a new method for estimating a monthly regional production model. The technique involves treating the region's monthly industrial output as a latent variable, which is in turn a function of capital (prosed by energy usage) and labor inputs. Annual observations on regional value added correspond to the summation of the unobservable monthly series over the 12 months, while changes in the national Industrial Production index help infer the series' month-to-month fluctuations. The model is estimated using the Kalman filter and the method of maximum likelihood. The estimates are used to compute monthly indices of regional value added for 15 individual 2-digit industries, and for the aggregate manufacturing sector in the Seventh Federal Reserve District. In a comparison of out-of-sample forecasting accuracy, the mixed-frequency model outperforms both the traditional parametric Cobb-Douglas and nonparametric Atlanta methods over the 1988–89 forecasting horizon.     

A REGIONAL CONSUMER DEMAND MODEL FOR NEW ZEALAND*

ABSTRACT. This paper discusses the formulation and estimation of sets of demand systems for six New Zealand regions. The chosen model is based on the Linear Expenditure System, constrained in various ways to take account of interregional differences in consumer behaviour. Our results suggest that income and price elasticities of demand vary significantly between regions, suggesting that regional employment and output patterns are likely to differ in their responses to changes in aggregate demand.     

A DYNAMIC INTRSECTORAL,MODEL OF REGIONAL ECONOMIC GROWTH*

ABSTRACT. The dynamic relationship between sectoral value added and regional economic growth is analyzed using a stochastic intersectoral model estimated by ordinary least squares and linear systems techniques. A state-space portion of the model identifies the time element of sedoral value added. Dynamic multipliers, tracing the temporal path of regional growth, are calculated for the state of Georgia over the period 1963–1986. This application shows that the impacts of sectoral shocks can follow cyclical as well as monotonic patterns and that the direction and magnitude of the impact may change over time.