"... In PAGE 13: ...the data, are given in Table7 in the data appendix. Our distance measures require considerable sub-national data that may be difficult to obtain for some country samples.... ..."

"... In PAGE 12: ... Prices and Services As mentioned above, Bennett (1895) compiled copious information on services and prices for European telephony. Table2 shows some basic prices for European countries, including prices for connection, subscription, and other services. The additional services, in particular, are striking.... ..."

"... In PAGE 10: ... These data were used to study basic properties of web networks presented earlier and to answer ques- tions decision-makers might ask. For example, How much recognition does the web presence of a group in the European or Canadian innovation sys- tems get from others in the systems? Scale-adjusted or scale-independent relative rec- ognition indicators (RRI) for European countries and Canadian provinces were constructed using the method of Katz (2000) as shown in Table5 . This indicator measures the amount of recognition a country or province receives relative to the scaling trend measured between recognition and size across the whole innovation system as shown in Table 4 and Figure 6.... ..."

"... In PAGE 13: ...Narrowing down into the East European countries, we reach Table15 , where we remark roughly the same results as in the case of the LNCS proceedings (e.g.... In PAGE 17: ...ion. From this table we remark that (a) during the Russian period, e.g. until 1997 inclusively, there is an increasing trend as the ADBIS event was gradually more visi- ble to the global scientific community, (b) along the results of Table15 , the Prague case corresponds to a local peak, and (b) it seems that during the last three years (2003-2006) more established researchers publish their work in the LNCS proceed- ings. Therefore, it is anticipated that the impact of the papers of these years will be shown in the future.... ..."

"... In PAGE 5: ... The most common examples of these new actors have been the environmental, ethnoterritorial and radical right parties described previously. As shown in Table1 , no country has been spared from the rising party phenomenon, although the number of parties in each country has varied widely from a single example in Ireland (the ... In PAGE 8: ...14 While institutional theories have been popular in recent years for their ease in application to empirical puzzles, their utility in accounting for rising party success is limited. A quick glance at Table1 reveals that the variations in rising party levels of electoral support and seat attainment do not clearly follow institutional differences. Countries with both more permissive and more restrictive electoral rules, governmental types and state organizations have witnessed the electoral success of and office attainment by these new parties.... ..."

"... In PAGE 15: ...1 Concentration of the Industry Throughout Europe, a concentration of the industry occurs with fewer mills but with higher total production. This is illustrated in Table8 for a number of countries in Europe based on so-called sawmill inventories. Unfortunately, the inventories have different dates but the development is clear: fewer and bigger mills with higher total production.... In PAGE 16: ...A representative illustration of the concentration trend is the development in Austria (Figure 2). In the cases with outlooks ( Table8 ), the process towards bigger and fewer mills is assumed to go even faster in the future. In Germany for example, it is expected that the closing down of mills will result in new establishments of large mills in CIS-countries and Eastern Europe.... ..."

"... In PAGE 17: ... The analysis of this section focuses on four key questions: (1) whether joining the ERM lowered the degree of monetary policy autonomy; (2) whether EMS members enjoyed more monetary independence under the wider EMS bands in 1993-98 than under the narrower bands until 1993; (3) whether core EMS members were more responsive to monetary policy shocks in Germany than those which had less credibility or were less likely to join the Euro; and (4) to what extent US monetary policy influenced interest rates within the EMS. Table3 lists some of the key dates of the included countries with respect to their exchange rate arrangements. Table 4 presents the results for the analysis using interest rate levels whereas Table 5 shows the empirical findings for the ECM framework.... ..."

"... In PAGE 39: ... 39 Table1 0: Total signs available for comparison (short wordlist) Rusia #1 67 Rusia #2 73 7 Ukraine 73 77 83 Moldova 73 78 83 83 Estonia #1 72 77 82 82 83 Estonia #2 73 78 83 83 84 83 Latvia 73 78 83 83 84 83 84 Poland #1 73 78 83 83 84 83 84 84 Poland #2 71 77 81 81 82 81 82 82 82 Slovakia #1 68 74 78 78 79 78 79 79 79 78 Slovakia #2 71 77 81 81 82 81 82 82 82 80 79 Slovakia #3 70 75 79 79 80 80 80 80 80 80 76 78 Czech Republic #1 73 78 83 83 84 83 84 84 84 82 79 82 80 Czech Republic #2 73 78 83 83 84 83 84 84 84 82 79 82 80 84 Romania 73 78 83 83 84 83 84 84 84 82 79 82 80 84 84 Hungary 72 77 82 82 83 82 83 83 83 81 78 81 79 83 83 83 Bulgaria 70 76 80 80 81 80 81 81 81 79 77 80 77 81 81 81 80 Croatia 73 78 83 83 84 83 84 84 84 82 79 82 80 84 84 84 83 81 ASL #1 72 77 82 82 83 82 83 83 83 81 78 81 79 83 83 83 82 80 83 ASL #2 72 77 82 82 83 82 83 83 83 81 78 81 79 83 83 83 82 80 83 83 ASL #3 64 70 74 74 75 74 75 75 75 74 72 74 72 75 75 75 74 73 75 74 74... In PAGE 40: ... 40 Table1 1: Percentage of similar signs (complete wordlist) Rusia #1 72 Rusia #2 74 72 Ukraine 73 67 74 Moldova 43 41 42 42 Estonia #1 Estonia #2 Latvia Poland #1 Poland #2 37 36 35 35 40 Slovakia #1 39 37 38 37 36 72 Slovakia #2 40 40 41 39 40 75 89 Slovakia #3 37 35 38 41 36 50 52 53 Czech Republic #1 34 33 34 36 34 48 50 52 84 Czech Republic #2 41 41 41 40 38 40 45 48 40 39 Romania 38 36 37 38 38 46 51 53 49 50 48 Hungary 46 46 44 43 43 46 48 50 44 41 46 39 Bulgaria Croatia 41 39 38 43 36 34 36 39 41 39 34 40 41 ASL #1 39 36 37 42 34 33 35 38 42 39 33 39 39 92 ASL #2 39 37 36 42 34 33 34 38 41 39 31 38 38 94 92 ASL #3 36 33 34 41 32 30 32 35 43 39 31 37 36 89 91 89... In PAGE 41: ... 41 Table1 2: Percentage of similar signs (short wordlist) Rusia #1 76 Rusia #2 71 65 Ukraine 73 68 64 Moldova 49 49 42 47 Estonia #1 50 45 51 49 76 Estonia #2 56 53 54 58 48 54 Latvia 48 40 39 45 36 40 44 Poland #1 44 44 36 43 36 41 48 73 Poland #2 48 52 44 44 48 44 45 45 51 Slovakia #1 46 46 44 44 43 47 46 49 49 72 Slovakia #2 51 53 47 46 52 52 55 51 55 80 85 Slovakia #3 47 47 47 54 43 46 53 60 60 58 66 64 Czech Republic #1 45 46 41 47 42 45 46 60 60 54 62 62 88 Czech Republic #2 48 50 41 47 45 47 51 48 52 49 54 57 55 51 Romania 52 50 46 48 46 49 50 52 54 52 58 57 64 60 56 Hungary 56 61 48 51 54 49 51 51 49 59 58 63 59 55 59 52 Bulgaria 41 46 34 35 37 36 44 44 44 48 51 53 51 48 56 51 51 Croatia 48 45 39 46 46 41 46 39 38 46 48 52 48 44 46 48 49 41 ASL #1 50 44 40 46 42 41 49 40 40 46 49 49 49 46 46 47 48 40 92 ASL #2 42 39 33 41 42 37 41 39 37 42 42 46 42 41 41 42 43 36 90 86 ASL #3 47 41 36 45 43 42 45 44 40 42 47 46 56 49 44 44 46 40 88 89 85... ..."