Controlling for the Impact of Variable Liquidity in Commercial Real Estate Price Indices

Liquidity in private asset markets is notoriously variable over time. Therefore, indices of changes in market value that are based on asset transaction prices will systematically reflect intertemporal differences in the ease of selling a property. We define and develop a concept of "constant-liquidity value" in the context of a model that is characterized by pro-cyclical volume of trading. We then present an econometric model that allows for estimation of both a standard transaction-based price index and a constant-liquidity index. Our application to the NCREIF database reveals that, in the case of institutional commercial real estate investment, constant-liquidity values tend to lead transaction-based and appraisal-based indices in time, and also to display greater volatility and cycle amplitude. The differences can be significant for strategic investment policy viewed from a mean-variance portfolio optimization perspective.     

Reframing science and other local knowledge traditions

By recognizing science as a set of local practices it becomes possible to ‘decentre’ it and develop a framework within which all knowledge systems can be equitably compared. It is argued that all knowledge traditions are spatial in that they link people, sites and skills. In order to ensure the continued existence of the diversity of knowledge traditions rather than have them absorbed into the great imperialist archive we need to enable disparate knowledge traditions to work together through the creation of a third space in which the social organization of trust can be negotiated.     

Obtaining global market access for GMPCS

Demand for wireless telephony is huge and the potential for GMPCS, in particular, is widely recognized. However, the most serious problems to the introduction of GMPCS are not technical, nor financial, but are rather the political and regulatory barriers—notably fear of bypass and security concerns. Inmarsat does not believe that there should be any a priori limit to the number of GMPCS operators offering satellite capacity to national service providers. The market can best determine which will be successful. However, before countries open their markets, they will need to be convinced that it is in their interest to do so.     

Farms’ technical inefficiencies in the presence of government programs*

We focus on determining the impacts of government programs on farms’ technical inefficiency levels. We use Kumbhakar's stochastic frontier model that accounts for both production risks and risk preferences. Our theoretical framework shows that decoupled government transfers are likely to increase (decrease) DARA (IARA) farmers’ production inefficiencies if variable inputs are risk decreasing. However, the impacts of decoupled payments cannot be anticipated if variable inputs are risk increasing. We use farm‐level data collected in Kansas to illustrate the model.     

Estimating the Effect of Air Quality: Spatial versus Traditional Hedonic Price Models

Empirical studies of hedonic housing prices show that the spatial maximum likelihood estimation (MLE) method is preferable to the traditional ordinary least squares (OLS) hedonic method. Current computing capabilities restrict the MLE method to relatively small data sets. This paper circumvents this limitation by coupling the spatial MLE method with block bootstrapping, a form of Monte Carlo simulation that accounts for spatially dependent data. Blocks are created based on monthly and census tract information for resampling. For each month, we obtained 50 resamples of 750 observations from a data set of 15,727 residential properties to compare OLS and MLE empirical results. We find that the spatial MLE method consistently outperforms the traditional OLS method under these simulated conditions and that air quality matters irrespective of the method used.     

Trading away what kind of jobs? Globalization,trade and tasks in the US economy

Economists and other social scientists are calling for a reassessment of the impact of international trade on labor markets in developed and developing countries. Classical models of globalization and trade, based upon the international exchange of finished goods, fail to capture the fragmentation of much commodity production and the geographical separation of individual production tasks. This fragmentation, captured in the growing volume of intra-industry trade, prompts investigation of the effects of trade within, rather than between, sectors of the economy. In this paper we examine the relationship between international trade and the task structure of US employment. We link disaggregate US trade data from 1972 to 2006, the NBER manufacturing database, the Decennial Census, and occupational and task data from the Dictionary of Occupational Titles. Within-industry shifts in task characteristics are linked to import competition and technological change. Our results suggest that trade has played a major role in the growth in relative demand for nonroutine tasks, particularly those requiring high levels of interpersonal interaction.     

Demutualization and customer protection at self‐regulatory financial exchanges

In the past decade, many of the world's largest financial exchanges have demutualized, i.e., converted from mutual, not‐for‐profit organizations to publicly‐traded, for‐profit firms. In most cases, these exchanges have substantial responsibilities with respect to enforcing various “trade practice” regulations that protect investors from dishonest agents. We examine how the incentives to enforce such rules change as an exchange demutualizes. In contrast to oft‐stated concerns, we find that, in many circumstances, an exchange that maximizes shareholder (rather than member) income has a greater incentive to aggressively enforce these types of regulations. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark 31:126–164, 2011     

Dominant markets,staggered openings,and price discovery

This study examines information incorporation and price discovery in closely related markets that witness staggered openings. A theoretical model is presented. In this framework, one market, termed dominant, is the venue where most of the price discovery occurs, and the other is termed secondary. The model predicts heightened volatility and order flow in each market when it opens first compared with when it opens second. The effects are predicted to be more pronounced in the dominant market, and is linked to the process of information incorporation. Tests conducted using futures on crude oil (dominant) and gasoline (secondary), two related markets that witness staggered openings, reveal findings consistent with the model's predictions. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark