Computing optimal tax equilibria

This paper proposes a technique for computing optimal taxes in a full general equilibrium model. It is based upon a fixed point algorithm of the type that is widely used to solve Walrasian general equilibrium models. Computing an optimal tax equilibrium is more difficult than solving a general equilibrium model only to the extent that the derivatives of the social welfare function and of the consumer demand functions must be calculated in the former case. Solutions to several sample problems are provided to demonstrate the technique. They suggest that optimal tax rates are exceedingly sensitive to the specification of the model used to derive them.     

The choice of technology in the production of fertilizer: A case study of ammonia and urea

The need to increase agricultural production has led many underdeveloped countries to produce industrial fertilizer domestically. A case study of the choice of technology in the production of ammonia and a nitrogenous fertilizer, urea, in the context of India, suggests that there is little scope for utilizing more labour in what is a highly capital-intensive process. There is, however, a choice between increasing energy costs and capital costs, which the Indians might exploit to reduce foreign exchange requirements. The paper then examines briefly some wider technological alternatives.     

Alternative Mortgage Instruments, Qualification Constraints and the Demand for Housing: An Empirical Analysis

Government-guaranteed mortgage loans (GFRMs) and adjustable-rate mortgages (ARMs) were introduced to make payment to income (PTI) and loan-to-value (LTV) qualification conventions less restrictive. This paper analyzes the effect of GFRMs and ARMs on the demand for housing. Using a large national data set for the 1988 to 1989 period, we employ a two-stage procedure to estimate housing demand. In the first stage, a multinomial logit model estimates the probability of choosing an FRM, ARM or GFRM. Predicted values from the logit are used to construct user costs and estimate housing demand. Using the model estimates, we simulate demand under four different mortgage availability regimes: FRM, FRM and GFRM, FRM and ARM and all three. These simulations indicate that GFRMs, by relaxing LTV constraints, increase housing demand by approximately 6.2% relative to the FRM regime; the addition of ARMs, by relaxing both PTI and LTV constraints, raises demand by an additional 6%, for a total of 12.2% with inclusion of all alternatives.