"... In PAGE 16: ...nd Dedola and Lippi (2000). It captures the capital intensity of the industry. Industries that are more capital-intensive are expected to be more sensitive to changes in the user cost of capital, which itself will depend on changes in interest rates. Table2 shows that in our sample the average investment intensity is about 14 This is also done by Dedola and Lippi (2000). The sample period of the estimation is 1980-1998.... In PAGE 18: ... However, we have not yet been able to break down industry trade by country of destination and therefore could not construct such an indicator. As can be seen from Table2 , the implication of this drawback is that the openness indicator is on average much larger for the smaller countries (Belgium and the Netherlands) than for the larger countries. It is nevertheless useful to include this indicator in the regression analysis, because the country effects will be picked up by the country dummies that we include in the regression.... In PAGE 20: ...18 An extensive, detailed discussion of the definitions and the sources of all the variables is in the Appendix. Table2 gives an idea of the average value of those indicators and their differences across countries and sectors. It is worth noting that because accounting data are typically not fully harmonised across countries, it may be difficult to compare those ratios across countries.... In PAGE 20: ... Of course, both indicators are highly correlated. Table2 shows that on average the share of small firms in total value added is about 12 percent, while that of large firms is 67 percent. On average, the share of small firms appears to be relatively larger in Belgium and the Netherlands than in the other countries.... ..."

"... In PAGE 5: ... The industry in which the respondent was working was also collected. Table8 shows this breakdown, indicating that most respondents are working in the IT industry, but that the use of UML spans other industries as well. Responses within the other category exposed a number of other industry categories, not included in the survey, such as agriculture and transportation.... ..."

"... In PAGE 5: ... 2.2 Sponsors In addition to NSF Grant IIS-0335780, the workshop was supported by contributions from the International Of ce of INRIA, France, and from six partners from industry ( Table2 ), most of which sent one or several representatives to the workshop. As noted above, these matching funds demonstrate the interest of industry in the areas of Computer Vision addressed in this workshop.... ..."

"... In PAGE 11: ... The dominant logic favours a focus on customer PDM, while the competitive logic proposes a focus on PDM in a larger sense. The conflicting features of the industry recipes are presented in Table4 . The different views are mainly due to different understandings of the potential customer segment.... ..."

"... In PAGE 5: ... Six participants (16%) answered that their section offered services internally while the remaining 12 (32%) answered both. Table1 shows the third dimension which covers the industrial sectors for which software services are offered. Please note that participants were allowed to give more than one answer to this question.... ..."

"... In PAGE 6: ...4 Sector of organisation In total, 97 of the 113 posts could be identified with a particular industrial sector. As Table2 shows almost a half of these (49%) were being sought by either consultancy companies or the finance sector. The only other sectors to advertise more than three posts in the six-month period were IT/Communications, the NHS and the Government.... ..."

"... In PAGE 28: ... The experiments here are based on a small number of critical customer application programs from the areas of signal processing and 2D/3D graphics as well as some benchmark codes. Table3 describes the industrial workbench. There are 75 total loops with the following characteristics: 15 (20%) contain non-trivial recurrences; 17 (22.... ..."

"... In PAGE 8: ...S. and German Data Table1 lists the industries examined for the United States and for Germany. For the United States, all data are either annual or annualized monthly data for the time period 1978 to 1995.... In PAGE 15: ... A high dependence on exports as a share of output is associated with lower mean productivity growth perhaps because it is difficult to efficiently use resources to meet varied foreign standards and tastes. For Germany ( Table1 0), very little of the variation in the data is explained by either the domestic or globalization variables. It may be that German industry does not distinguish between domestic and international demand shocks because there has been relatively little increase in globalization over the sample period.... In PAGE 16: ...f the productivity growth measures for the U.S. and German industries. Tables 11 and 12 show the results of a simple regression of these procyclicality coefficients against the globalization variables: [cross-section of industry coefficients of procyclicality] = (labor, K amp;L, KLMva) a* [mean(share of exports in output) in first half of sample] (Xsh-t0) +b* [mean(share of imports in domestic demand) in first half of sample] (Msh-t0) +c* [mean(growth rate of exports))](dlXgrow) +d* [mean(growth rate of imports))](dlMgrow) Not surprisingly, there is little evidence that labor procyclicality in Germany is related to international demand or exposure ( Table1 1). However, there is some evidence that procyclicality evidenced in U.... In PAGE 16: ...S. data ( Table1 2) might be related to international factors--principally through the channel of capital usage. Strong export demand growth increases the procyclicality of the K amp;L measure, whereas strong import growth would appear to dampen the coefficient of procyclicality of this measure.... In PAGE 34: ... Table1 0: Globalization and Productivity Growth--Germany regression of diff(mean(productivity) against initial(mean(Xsh), initial (mean(Msh), diff(mean(domship grow)), diff(mean(Xsh),diff(mean(Msh), diff(mean(dlxgrow), diff(mean(dlMgrow) raw:g5.... In PAGE 35: ... Table1 1: Globalization and Procyclicality--Germany regression of the industry-cross section of procyclicality coefficients against init(Xsh), init(msh), dlXgrowth, dlMgrowth period: 1981-1994 Regression Output: 0.773427 Constant labor 1.... In PAGE 36: ... Table1 2: Globalization and Procyclicality--United States regression of industry cross-section of procyclicality coefficients against initXsh,initMsh,mean(dlXgrowth), mean(dlMgrowth) period: 1979 to 1995 Regression Output: labor 0.197467 Constant 0.... ..."