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The effect of changes in commodity prices on factor rewards is studied in the multi-commodity, multi-factor case. It is shown that the inverse of the distributive share matrix must satisfy the following restriction: it cannot be anti-symmetric in its sign pattern. This means that one cannot partition the commodities into two groups (I and II) and factors into two groups (A and B), such that all factors in group A benefit (nominally) from all commodity price increases in group I, and simultaneously all factors in group B suffer from all commodity price increases in group II. It turns out that this is also the only sign-pattern restriction imposed by the general nature of the relationship of commodity prices and factor rewards.

The collection of essays in this volume provides fairly comprehensive analyses of contemporary theoretical and policy issues in international trade. As technological revolution eliminates communications costs and the countries gear towards more open trade regimes through negotiations at the WTO, the world effectively gets smaller. The evolution of research in trade theory and policy has closely followed the trends in global economy. Issues such as how trade affects distribution of income across and within nations, generates resources for growth, leads to bilateral and multilateral cooperation and conflicts, and many others have been picked up and analyzed systematically in various chapters of this volume. Before we go into the details of the relevant sections and constituent chapters, it is worthwhile to emphasize two special features of this volume.

We examine the sample self-selection and the use of LIFO or FIFO inventory method. For this purpose, we apply the Heckman-Lee’s two-stage regression to the 1973–1981 data, a period of relatively high inflation, during which the incentive to adopt the LIFO inventory valuation method was most pronounced. The predicted coefficients based on the reduced-form probit (inventory choice model) and the tax functions are used to derive predicted tax savings in the structured probit. Specifically, the predicted tax savings are computed by comparing the actual LIFO (FIFO) taxes vs. predicted FIFO (LIFO) taxes. Thereafter, we estimate the dollar amount of tax savings under different regimes. The two-stage approach enables us to address not only the managerial choice of the inventory method but also the tax effect of this decision. Previous studies do not jointly consider the inventory choice decision and the tax effect of that decision. Hence, the approach we use is a contribution to the literature. Our results show that self-selection bias is present in our sample of LIFO and FIFO firms and correcting for the self-selection bias shows that the LIFO firms, on average, had $282 million of tax savings, which explains why a large number of firms adopted the LIFO inventory method during the seventies.

In this study, we analyze the power of the individual return-to-volatility security performance heuristic (ri/stdi) to simplify the identification of securities to buy and, consequently, to form the optimal no short sales mean–variance portfolios. The heuristic ri/stdi is powerful enough to identify the long and shorts sets. This is due to the positive definiteness of the variance–covariance matrix – the key is to use the heuristic sequentially. At the investor level, the heuristic helps investors to decide what securities to consider first. At the portfolio level, the heuristic may help us find out whether it is a good idea to invest in equity to begin with. Our research may also help to integrate individual security analysis into portfolio optimization through improved security rankings.

This paper presents a model and evidence regarding the incidence of independent contractors and the self-employed. It focuses on the rights to control the work routine as an important issue distinguishing employee and non-employee workers. The conditions under which it is optimal for the buyer of labor services to control the work routine (and use employees) and when is it desirable for the seller to have control are considered. The model emphasizes the costs of measuring worker output vs. monitoring worker effort, worker expertise, and worker investment and is tested with Current Population Survey data merged with the Dictionary of Occupational Titles. The empirical findings are broadly consistent with the approach. Independent contractors tend to be in jobs that are harder to monitor and having more worker expertise such as jobs involving more intellectual skills, having a greater variety of duties, and requiring more worker expertise and training. This is even more true of the other self-employed. We also review existing empirical research on self-employment, discussing how it fits into our baseline model and evaluating the arguments to explain independent contractors and self-employment. These include a desire to reduce fringe benefits, demand and staffing uncertainty, wanting to avoid lawsuits for wrongful termination, a desire to protect a reputation for not laying-off employees, credit constraints, and worker desire for flexibility. There is strong evidence that credit constraints have a substantial influence on self-employment status and likewise for worker desire for job flexibility. The literature suggests that the desire to avoid payment of fringe benefits, demand and staffing variability, and avoidance of potential wrongful dismissal lawsuits induces firms to use more temporary agency workers but does not seem to affect the use of independent contractors.