This paper considers the problem of determining the number of factors in a multivariate nonparametric relationship. The definition of factors given is broad enough to encompass a number of potential applications in econometrics, including inferring the rank of demand, consistent tests for lack of identification in linear instrumental variable models, and testing arbitrage pricing theory. The paper gives both series and kernel methods for testing hypotheses concerning, and consistent estimation of, the number of factors. The methods are compared in a small simulation study and in an application to determining the rank of demand systems.

This study extends prior research on the average level of moral development in public accounting by examining five large accounting firms and three staff levels. The research is important because it highlights the need to include auditors from several firms in research designs, provides evidence of differences in moral development among public accounting firms, and profiles the professions' average level of moral development for three levels. The data are from 494 managers and seniors (204 females and 290 males) from five Big Six firms. Using the Defining Issues Test (Rest 1979a) to measure moral development, several results were noted. First, the results indicate a difference in the average level of moral development among firms, suggesting that use of subjects from only one firm inhibits the generalizability of findings regarding moral development. Second, female managers are at a significantly higher average level of moral development than male managers. In fact, the average scores for male managers fell between those expected for senior high school and college students. The data suggest that a greater percentage of high‐moral‐development males and low‐moral‐development females are leaving public accounting than their respective opposites. These results indicate that the profession has retained, through advancement, males who are potentially less sensitive to the ethical implications of various issues. The analysis also indicates that Kohlberg's (1969) theory of moral development is not biased towards the thought processes of males because female auditors did not score lower on the Defining Issues Test.

This paper introduces a conditional Kolmogorov test of model specification for parametric models with covariates (regressors). The test is an extension of the Kolmogorov test of goodness-of-fit for distribution functions. The test is shown to have power against 1/√n local alternatives and all fixed alternatives to the null hypothesis. A parametric bootstrap procedure is used to obtain critical values for the test.

To obtain consistency and asymptotic normality, a generalized method of moments (GMM) estimator typically is defined to be an approximate global minimizer of a GMM criterion function. To compute such an estimator, however, can be problematic because of the difficulty of global optimization. In consequence, practitioners usually ignore the problem and take the GMM estimator to be the result of a local optimization algorithm. This yields an estimator that is not necessarily consistent and asymptotically normal. The use of a local optimization algorithm also can run into the problem of instability due to flats or ridges in the criterion function, which makes it difficult to know when to stop the algorithm. To alleviate these problems of global and local optimization, we propose a stopping-rule (SR) procedure for computing GMM estimators. The SR procedure eliminates the need for global search with high probability. And, it provides an explicit SR for problems of stability that may arise with local optimization problems.

There are two principal theories of why countries trade: comparative advantage and increasing returns to scale. Which is most important in practice? The large volume of intra‐OECD trade is frequently cited as critical evidence on this question. It is argued that comparative advantage, unlike scale economies, is incapable of accounting for the large volume of trade between seemingly similar economies. This is a theoretical claim. In this paper. I show that it is possible to give an account of this trade based on comparative advantage. The elements that may give rise to a large volume of North‐North trade are traced to identifiable features of technology and endowments.

An increase in computer usage could improve product and labor quality. Unfortunately, many quality improvements are not incorporated in price indexes. Thus, a quality bias could distort conventional estimates of the marginal productivity of computers, which are based on the assumption that prices are measured without error. Using detailed industry data, we estimate a multiple-indicators, multiple-causes model that allows us to investigate this relationship, while controlling for measurement errors. Our findings suggest that computers are an important source of quality change and that computers are positively related to productivity growth when adjustments are made for measurement errors.

This paper examines the magnitude and determinants of transactions costs for a sample of institutional traders with different investment styles. Using order-level data for recent equity transactions totaling $83 billion, we find that trading costs are economically significant and increase with trade difficulty. In addition, costs vary with traderspecific factors such as investment style and order submission strategy, as well as stock-specific factors such as exchange listing. We find evidence that institutional trades in exchange-listed stocks have lower costs than in comparable Nasdaq stocks.

Theoretical models of endogenous growth identify capital accumulation and returns as a potential stimulus to economic growth. Existing empirical studies, however, are based on a limited notion of these returns, which follows from the simple production function framework used for estimation. The purpose of this study is to examine growth issues using dynamic cost function estimation. This methodology enables us to broaden the concept of returns to include returns arising from short-run quasi-fixity of private capital, long-run (internal) scale economies, and external “knowledge” factors—overall investment in research (R&D), technology (high-tech capital), and education (human capital). Based on detailed industry-level data, we find evidence of increasing returns to scale arising from cost savings on variable inputs, although diminishing returns to capital are prevalent. Our results also show that knowledge factors augment growth. More importantly, they appear to explain a substantial proportion of measured scale economies.

We explore the impact of the child care tax credit in the U.S. income tax system on the labor supply decisions of married women with young children by incorporating the cost of child care into a structural labor supply model. Using data from the 1986 NLSY, we find that government subsidies to child care increase labor supply substantially. Our policy simulations show that an increase in the value of the child care tax credit (i.e., percent of expenditures subsidized) would have a much larger effect on labor supply than an increase in the annual expenditure limits of the subsidy or making the subsidy refundable.

The Heckscher-Ohlin-Vanek (HOV) model of factor service trade is a mainstay of international economics. Empirically, though, it is a flop. This warrants a new approach. We test the HOV model with international and Japanese regional data. The strict HOV model performs poorly because it cannot explain the international location of production. Restricting the sample to Japanese regions provides no help, inter alia giving rise to what Daniel Trefler calls the "mystery of the missing trade." However, when we relax the assumption of universal factor price equalization, results improve dramatically. In sum, the HOV model performs remarkably well.