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Message from the Administration, Innovation Magazine

Determining Military Expenditures: Arms Races and Spill-Over Effects in Cross-Section and Panel Data

This paper considers the determinants of military spending, building on an emerging literature that estimates military expenditure demand functions in cross-section and panel data, incorporating ‘arms-race’ type effects. It updates Dunne and Perlo-Freeman (2003b) using the SIPRI military expenditure database for the period 1988-2003, finding broadly similar results. It also shows differences in results across panel methods, particularly the within and between estimates and illustrates the importance of recognising and modelling dynamic processes within panel data. Heterogeneity is also found to be an important issue and when countries are broken up into groups on the basis of per capita income there is no obvious systematic pattern in the results. This is seen to imply that the demand for military spending, even between two mutually hostile powers, may depend on the whole nature of the relationship between them (and other countries and events in the region), and not simply Richardsonian action-reaction patterns.Military Spending; Demand; Arms races; Spillovers; Panel data

The Demand for Military Expenditure in Developing Countries: Hostility versus Capability

This paper has considers the interpretation of the empirical results of the developing literature on the demand for military spending that specifies a general model with arms race and spillover effects and estimates it on cross-section and panel data. It questions whether it is meaningful to talk of an ‘arms race’ in panel data or cross-section data, and suggests that it may be more appropriate to talk about the relevant variables – aggregate military spending of the ‘Security Web’ (i.e. all neighbours and other security-influencing powers) and the aggregate military spending of ‘Potential Enemies’– as acting as proxies for threat perceptions, which will reflect both hostility and capability.Military Spending, Developing Countries, Demand.

Determining Military Expenditures: Arms Races and Spill-Over Effects in Cross-Section and Panel Data

This paper considers the determinants of military spending, building on an emerging literature that estimates military expenditure demand functions in cross-section and panel data, incorporating ‘arms-race’ type effects. It updates Dunne and Perlo-Freeman (2003b) using the SIPRI military expenditure database for the period 1988-2003, finding broadly similar results. It also shows differences in results across panel methods, particularly the within and between estimates and illustrates the importance of recognising and modelling dynamic processes within panel data. Heterogeneity is also found to be an important issue and when countries are broken up into groups on the basis of per capita income there is no obvious systematic pattern in the results. This is seen to imply that the demand for military spending, even between two mutually hostile powers, may depend on the whole nature of the relationship between them (and other countries and events in the region), and not simply Richardsonian action-reaction patterns.Military Spending; Demand; Arms races; Spillovers; Panel data

Concentration in the International Arms Industry¤

The end of the Cold War led to a large drop in world military expenditure, rising fixed costs of developing weapons because of technological changes and a reduction of national preference for domestic weapons. Alongside these developments has been an increase in concentration in the world arms industry, which at the end of the Cold War had been very unconcentrated with concentration ratios close to the Sutton lower bound. This paper provides an empirical and theoretical analysis of this process. It examines the dynamics of the evolution of concentration and then shows that a trade model with optimal procurement decisions can capture the main features of this empirical analysis.market structure, arms industry, procurement

Improved u′g′r′i′z′u'g'r'i'z' to UBVRCICUBVR_CI_C Transformation Equations for Main Sequence Stars

We report improved transformation equations between the $u'g'r'i'z'$ and $UBVR_CI_C$ photometric systems. Although the details of the transformations depend on luminosity class, we find a typical rms scatter on the order of 0.001 magnitude if the sample is limited to main sequence stars. Furthermore, we find an accurate transformation requires complex, multi-color dependencies for the bluer bandpasses. Results for giant stars will be reported in a subsequent paper.Comment: 7 pages, 8 figure

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Messages from the Administration, Innovation Magazine

An Ontological Approach to Representing the Product Life Cycle

The ability to access and share data is key to optimizing and streamlining any industrial production process. Unfortunately, the manufacturing industry is stymied by a lack of interoperability among the systems by which data are produced and managed, and this is true both within and across organizations. In this paper, we describe our work to address this problem through the creation of a suite of modular ontologies representing the product life cycle and its successive phases, from design to end of life. We call this suite the Product Life Cycle (PLC) Ontologies. The suite extends proximately from The Common Core Ontologies (CCO) used widely in defense and intelligence circles, and ultimately from the Basic Formal Ontology (BFO), which serves as top level ontology for the CCO and for some 300 further ontologies. The PLC Ontologies were developed together, but they have been factored to cover particular domains such as design, manufacturing processes, and tools. We argue that these ontologies, when used together with standard public domain alignment and browsing tools created within the context of the Semantic Web, may offer a low-cost approach to solving increasingly costly problems of data management in the manufacturing industry

Tracing the Origin and Spread of Agriculture in Europe

The origins of early farming and its spread to Europe have been the subject of major interest for some time. The main controversy today is over the nature of the Neolithic transition in Europe: the extent to which the spread was, for the most part, indigenous and animated by imitation (cultural diffusion) or else was driven by an influx of dispersing populations (demic diffusion). We analyze the spatiotemporal dynamics of the transition using radiocarbon dates from 735 early Neolithic sites in Europe, the Near East, and Anatolia. We compute great-circle and shortest-path distances from each site to 35 possible agricultural centers of origin—ten are based on early sites in the Middle East and 25 are hypothetical locations set at 5° latitude/longitude intervals. We perform a linear fit of distance versus age (and vice versa) for each center. For certain centers, high correlation coefficients (R > 0.8) are obtained. This implies that a steady rate or speed is a good overall approximation for this historical development. The average rate of the Neolithic spread over Europe is 0.6–1.3 km/y (95% confidence interval). This is consistent with the prediction of demic diffusion (0.6–1.1 km/y). An interpolative map of correlation coefficients, obtained by using shortest-path distances, shows that the origins of agriculture were most likely to have occurred in the northern Levantine/Mesopotamian area

Academic Achievement of K-12 Students With Emotional and Behavioral Disorders

This is the publisher's version, also found here: http://ehis.ebscohost.com/ehost/detail?sid=1c127db2-6bcd-4b12-8e4c-67a20d604dd4%40sessionmgr15&vid=1&hid=5&bdata=JnNpdGU9ZWhvc3QtbGl2ZQ%3d%3d#db=tfh&AN=14908050This cross-sectional study was conducted with a random sample of 155 K'12 students served in public school settings and established the extent to which students with emotional/behavioral disorders (E/BD) experience academic achievement deficits with attention to age and gender differences. In addition, this study examined particular types of problem behaviors related to academic achievement. Results indicate that stuAents with E/BD showed large academic achievement deficits across all of the content areas, and the deficits appeared to be stable or worsen in the case of mathematics across age. There appeared to be no gender differences. Additionally, externalizing behaviors were related to reading, mathematics, and written language achievement; whereas, internalizing ones were not