This paper deals with the cost-benefit valuation of urban land in residential and road use, when there is flow congestion in transportation and congestion tolls are not imposed. Conventional procedures for determining the shadow value of land in road or residential use ignore certain general...

This paper uses a general equilibrium model of residential land use to study the effects of the property tax in a closed city. Two different specifications of the production technology for housing are used, and yield similar results. The model is too complicated to be solved in closed form, but...

This paper investigates the costs of residential height restrictions, using a numerically solvable general equilibrium model based on residential location theory. Time and money costs of travel are treated separately. Household demand recreational land and structure and actual construction cost...

Confidence intervals based on cluster-robust covariance matrices can be constructed in many ways. In addition to conventional intervals obtained by inverting Wald (t) tests, the paper studies intervals obtained by inverting LM tests, studentized bootstrap intervals based on the wild cluster...

This paper discusses ways to reduce the bias of consistent estimators that are biased in finite samples. It is necessary that the bias function, which relates parameter values to bias, should be estimable by computer simulation or by some other method. If so, bias can be reduced or, in some...

We study several methods of constructing confidence sets for the coefficient of the single right-hand-side endogenous variable in a linear equation with weak instruments. Two of these are based on conditional likelihood ratio (CLR) tests, and the others are based on inverting t statistics or the...

Little attention has been paid to the finite-sample properties of tests for overidentifying restrictions in linear regression models with a single endogenous regressor and weak instruments. We study several such tests in models estimated by instrumental variables (IV) and limited-information...

Many test statistics in econometrics have asymptotic distributions that cannot be evaluated analytically. In order to conduct asymptotic inference, it is therefore necessary to resort to simulation. Techniques that have commonly been used yield only a small number of critical values, which can...