All You X ps X Dee X NYU X Not | ps x ps2 x ps_...

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All You X ps X Dee X NYU X Not | ps x ps2 x ps_ Clus C X/Users/liangdongcheng/Downloads/ps_urban_2%20FA23.pdf ps_urban_2 FA23.pdf FA33 For this Pro St, EXCEL O O *** 1 2 / 3 - 100% + 0 PS X GPT X + Question (2) Go to Harvard's Cluster Mapping Project's main site (http://clustermapping.us) and click on "Clusters." Scroll down until you see Full Portfolio View of Related Clusters. BCR-95th pctile & BCR 90th-94th petle & Next closest clusters not meet criteria Full Portfolio View of Related Clusters Nonmetal Mining Wood Products Forestry Jewelry Vulcanized Materials Agriculture Livestock Aerospace & Defense Lighting Furniture Recreational Construction Fishing Water Transport Goods Medical Devices IT Production Performing Music Hospitality Marketing Education 2 Environmental Services Tobacco Insurance Transportation Distribution & Downstream Chemicals Biopharma Downstream Metals Upstream Metals Plastics Production Technology Metalworking Automotive Upstream Chemicals Business Printing Food Services Leather Products Processing Financial Ol & Gas Services Paper & Apparel Textles Electric Packaging Footwear Trailers & Appliances Coal Mining Metal Mining Select PRINTING and scroll to the map on top. (You must go to the map don't download any data if you don't see the map) 3 This Cluster Dashboard provides data on the economic performance, geographic presence, and subcluster and industry composition of this cluster. The map illustrates the economic geography of this cluster. Click on any region for specific regional data or to go to a Region Dashboard. Use the controls on the map to adjust the type of data displayed. Browse this Summary page or select a tab at the top to dive into more detailed data. HELP O Economic Indicator Specialization Region Type Economic Areas Specialization in Printing Cluster by Economic Area, 2016 High Employment Specialization and Share High Employment Specialization High Employment Share E : All You X ps X Dee X NYU X Not | ps x C X/Users/liangdongcheng/Downloads/ps_urban_2%20FA23.pdf ps_urban_2 FA23.pdf FA33 For this Pro St, EXCEL O O *** 2 / 3 Insurance - 100% + Education ps2 x ps_ Clus Metalworking Automotive Upstream Chemicals Business Services Printing Leather Products Food Processing Environmental Services Financial Services Oil & Gas Tobacco Paper & Packaging Apparel Textiles Electric Power Footwear Trailers & Appliances Coal Mining Metal Mining 0 PS X GPT X + Select PRINTING and scroll to the map on top. (You must go to the map - don't download any data if you don't see the map) 1 This Cluster Dashboard provides data on the economic performance, geographic presence, and subcluster and industry composition of this cluster. The map illustrates the economic geography of this cluster. Click on any region for specific regional data or to go to a Region Dashboard. Use the controls on the map to adjust the type of data displayed. Browse this Summary page or select a tab at the top to dive into more detailed data. 2 HELP O Economic Indicator G Specialization Region Type Economic Areas Start Year 1998 .00 End Year 2016 Specialization in Printing Cluster by Economic Area, 2016 High Employment Specialization and Share High Employment Specialization High Employment Share 3 On the left sidebar you now have various choices; select Economic Areas. Calculate for 1998 and for 2016 the CR4, HHI and Gini Coefficients for employment and for the annual payroll (which is the product of Employment x Annual Wage). For the Gini E : Your X ps X Dee X NYU X Not | ps x ps2 x ps_ Clus X PS X GPT X + C X/Users/liangdongcheng/Downloads/ps_urban_2%20FA23.pdf ps_urban_2 FA23.pdf AAA 1 FAX O 3 / 3 - 100% + A annual payroll (which is the product of Employment x Annual Wage). For the Gini Coefficient, assume that all regions are of identical size (width). Make sure you match each area's employment with its wage. Overall, you have to calculate 12 coefficients (see table below). NOTE: in case the wage is listed as zero, treat it as zero; don't delete it. 2 Year CR4 HHI Employment GINI 1998 (179 Econ Regions) 2016 (179 Econ Regions) Annual Payroll 1998 (179 Econ Regions) 3 2016 (179 Econ Regions) E : All You X ps X Dee X NYU X Not | ps x ps2 x ps_ Clus C X/Users/liangdongcheng/Downloads/ps_urban_2%20FA23.pdf ps_urban_2 FA23.pdf FA33 For this Pro St, EXCEL O O *** 1 2 / 3 - 100% + 0 PS X GPT X + Question (2) Go to Harvard's Cluster Mapping Project's main site (http://clustermapping.us) and click on "Clusters." Scroll down until you see Full Portfolio View of Related Clusters. BCR-95th pctile & BCR 90th-94th petle & Next closest clusters not meet criteria Full Portfolio View of Related Clusters Nonmetal Mining Wood Products Forestry Jewelry Vulcanized Materials Agriculture Livestock Aerospace & Defense Lighting Furniture Recreational Construction Fishing Water Transport Goods Medical Devices IT Production Performing Music Hospitality Marketing Education 2 Environmental Services Tobacco Insurance Transportation Distribution & Downstream Chemicals Biopharma Downstream Metals Upstream Metals Plastics Production Technology Metalworking Automotive Upstream Chemicals Business Printing Food Services Leather Products Processing Financial Ol & Gas Services Paper & Apparel Textles Electric Packaging Footwear Trailers & Appliances Coal Mining Metal Mining Select PRINTING and scroll to the map on top. (You must go to the map don't download any data if you don't see the map) 3 This Cluster Dashboard provides data on the economic performance, geographic presence, and subcluster and industry composition of this cluster. The map illustrates the economic geography of this cluster. Click on any region for specific regional data or to go to a Region Dashboard. Use the controls on the map to adjust the type of data displayed. Browse this Summary page or select a tab at the top to dive into more detailed data. HELP O Economic Indicator Specialization Region Type Economic Areas Specialization in Printing Cluster by Economic Area, 2016 High Employment Specialization and Share High Employment Specialization High Employment Share E : All You X ps X Dee X NYU X Not | ps x C X/Users/liangdongcheng/Downloads/ps_urban_2%20FA23.pdf ps_urban_2 FA23.pdf FA33 For this Pro St, EXCEL O O *** 2 / 3 Insurance - 100% + Education ps2 x ps_ Clus Metalworking Automotive Upstream Chemicals Business Services Printing Leather Products Food Processing Environmental Services Financial Services Oil & Gas Tobacco Paper & Packaging Apparel Textiles Electric Power Footwear Trailers & Appliances Coal Mining Metal Mining 0 PS X GPT X + Select PRINTING and scroll to the map on top. (You must go to the map - don't download any data if you don't see the map) 1 This Cluster Dashboard provides data on the economic performance, geographic presence, and subcluster and industry composition of this cluster. The map illustrates the economic geography of this cluster. Click on any region for specific regional data or to go to a Region Dashboard. Use the controls on the map to adjust the type of data displayed. Browse this Summary page or select a tab at the top to dive into more detailed data. 2 HELP O Economic Indicator G Specialization Region Type Economic Areas Start Year 1998 .00 End Year 2016 Specialization in Printing Cluster by Economic Area, 2016 High Employment Specialization and Share High Employment Specialization High Employment Share 3 On the left sidebar you now have various choices; select Economic Areas. Calculate for 1998 and for 2016 the CR4, HHI and Gini Coefficients for employment and for the annual payroll (which is the product of Employment x Annual Wage). For the Gini E : Your X ps X Dee X NYU X Not | ps x ps2 x ps_ Clus X PS X GPT X + C X/Users/liangdongcheng/Downloads/ps_urban_2%20FA23.pdf ps_urban_2 FA23.pdf AAA 1 FAX O 3 / 3 - 100% + A annual payroll (which is the product of Employment x Annual Wage). For the Gini Coefficient, assume that all regions are of identical size (width). Make sure you match each area's employment with its wage. Overall, you have to calculate 12 coefficients (see table below). NOTE: in case the wage is listed as zero, treat it as zero; don't delete it. 2 Year CR4 HHI Employment GINI 1998 (179 Econ Regions) 2016 (179 Econ Regions) Annual Payroll 1998 (179 Econ Regions) 3 2016 (179 Econ Regions) E :