Wage inequality in a developing country: decrease in minimum wage or increase in education returns

In this paper we analyze the increase in wage inequality observed in the Uruguayan labour market during the last decade, by studying how the changes in minimum wage and returns to education affected the wage structure. Although in most developed countries a significant proportion of the increase in wage inequality is explained by a fall in the real minimum wage, this is not the case for the Uruguayan labour market. We observe that returns to education increased significantly, which could explain the increase of wage dispersion by its effects on the upper tail of the wage distribution. To derive these conclusions we follow a parametric and nonparametric quantile regression approach.     

Variety in the innovation process of UK research and development service firms

Research and development service firms (RDSFs) are a particular type of technology-based knowledge-intensive business services (KIBS). RDSFs provide clients with R&D services on a contract basis, and operate as knowledge intermediaries linking research and market. They are innovative in their own right, as well as supporting innovation efforts by their clients; they rely on their own innovation efforts to be competitive and to develop new value propositions for their clients. The present paper explores the innovation process in RDSFs, drawing on semi-structured interviews with founders and senior managers of 32 companies in the United Kingdom. Our findings suggest that RDSFs vary considerably in terms of their primary innovation drivers (i.e. whether they are mainly driven by market demands or by technological opportunities) and the outcomes they pursue (i.e. whether their outputs are mainly services to clients or a mixture of services and products and/or intellectual property). Four major orientations of RDSFs were identified: (i) technology-based innovation exploiters; (ii) science-focused innovation explorers; (iii) client-driven innovation integrators; and (iv) open innovation translators. This variety among firms normally belonging to the same, small subsector of KIBS, suggests the need for caution in generalising about behaviour in terms of such statistical groupings.     

Capital Structure Theory and the Fisher Effect

This paper incorporates capital structure theory to model the response of nominal interest rates to expected inflation in a world with taxes. Within an otherwise common framework, the model includes Modigliani-Miller (MM) and Miller capital structure theory, as well as a variation of the Miller model with bankruptcy costs, developed by DeAngelo and Masulis. Within this framework, we derive an equation to predict the response of nominal interest rates under each capital structure hypothesis. With MM theory, our model predicts di_D/d_π value consistent with empirically observed ranges. With Miller theory, the predictions are inaccurate. With DeAngelo-Masulis, the predictions vary widely; the midpoint of the predicted range is less accurate than with Miller theory.     

Analyzing leases with the after-tax cost of debt

A generalized expression of the net advantage of leasing (NAL) is used to assess the implications of discounting incremental cash flows at the firm's before-tax cost of debt and the firm's after-tax cost of debt, respectively. If no personal tax biases are assumed, then the before-tax cost of debt should be used to compute NAL. If the before-tax cost of debt is the correct discount rate, then any change in the firm's borrowing level brought about by the decision to lease rather than purchase will alter the computed NAL by the amount of the present value of the tax savings on interest payments. Thus using the before-tax cost of debt is consistent with basic MM valuation theory. Using the after-tax cost of debt, in contrast, implies that any associated change in the firm's borrowing level is irrelevant for purposes of computing NAL. Sufficient conditions are specified for the after-tax cost of the debt to be the correct discount rate for lease versus purchase analysis. Finally, lease analysis in a MM world is compared to lease analysis in a Miller tax world. For the special case of a 100% leverage ratio, the specification of NAL is the same in both worlds. Use of the after-tax cost of debt is correct in a Miller world and is a good approximation in an MM world provided the cash flows are predominantly debt financed.     

New methods in the classical economics of uncertainty: comparing risks

Second-order stochastic dominance answers the question “Under what conditions will all risk-averse agents prefer \(\tilde{x}_2\) to \(\tilde{x}_1\)?” Consider the following related question: “Under what conditions will all risk-averse agents who prefer lottery \(\tilde{x}_1\) to a reference lottery \(\tilde{\omega }\) also prefer lottery \(\tilde{x}_2\) to that reference lottery?” Each of these two questions is an example of a broad category of questions of great relevance for the economics of risk. The second question is an example of a contingent risk comparison, while the question behind second-order stochastic dominance is an example of a non-contingent risk comparison. The stochastic order arising from a contingent risk comparison is obviously weaker than that arising from the corresponding non-contingent risk comparison, but we show that the two stochastic orders are closely related, so that the answer to a non-contingent risk comparison problem always provides the answer to the corresponding contingent risk comparison problem. In addition to showing the connection between parallel contingent and non-contingent risk comparison problems, we articulate a method for solving both kinds of problems using the “basis” approach. The basis approach has often been used implicitly, but we argue that there is value in making its use explicit, particularly in indicating which new, previously unsolved problems can readily be solved by the basis approach and which cannot.     

The difference between the local and unbiased expectations hypotheses

This paper shows that the Local and Unbiased Expectations Hypotheses are equivalent in discrete time with continuously compounded interest rates. With discretely compounded rates, the hypotheses, while not exactly identical, are shown theoretically (and empirically for Treasury bills) to be approximately the same. These results have the important implication that many, apparently different, empirical tests of term structure theories have actually been tests of essentially equivalent hypotheses. The results also imply that recent models using continuously compounded rates are empirically indistinguishable from more traditional models using discretely compounded rates.     

Measuring the future : Statistics and the information age

If the information age is to be more than a slogan, we need to address the issue of how to measure its emergence, and how to assess developments within it. This may well pose challenges to our existing statistics-,since structural change can render established definitions and frameworks inadequate. So far, most discussion of this issue has been conducted within a tradition of counting up the ‘information workforce’. This article argues for a different approach, focusing on the generation, diffusion and application of new information technology (IT). It considers how far available statistics can be used to throw light on IT-related developments, provides some examples of what these data tell us about possible future developments, and examines the implications for the future of statistical frameworks and statistical analysis itself.     

A Different Look at Commercial Real Estate Returns

Commercial real estate makes up a relatively small percentage of most institutional portfolios, even though the existing literature has consistently reported attractive risk-return characteristics that would suggest much larger allocations. This discrepancy has been explained by a perceived lack of comparability between return series calculated for real estate and those calculated for other asset classes. Just as investors actively involved in the futures markets do not consider individual common stocks to be traded continuously, those active in the stock market do not consider real estate to be traded continuously. In both cases, adjustments to reported returns are necessary to achieve a degree of comparability. This study makes such adjustments, using sales data from properties that help comprise the National Council of Real Estate Investment Fiduciaries / Frank Russell Company (NCREIF/FRC) Index to generate a "transaction-driven" commercial real estate return series. Examination of the risk-return characteristics of this series shows that it is quite different from traditionally reported real estate return series and far more consistent with risk-return characteristics that have been reported for other asset classes.