The 2016-2021 Outlook for Airport Security Equipment in Oceana

 Published On: Jul, 2013 |    No of Pages: 35 |  Published By: Icon Group International, Inc | Format: PDF
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This econometric study covers the outlook for airport security equipment in Oceana. For each year reported, estimates are given for the latent demand, or potential industry earnings (P.I.E.), for the country in question (in millions of U.S. dollars), the percent share the country is of the region and of the globe. These comparative benchmarks allow the reader to quickly gauge a country vis--vis others. Using econometric models which project fundamental economic dynamics within each country and across countries, latent demand estimates are created. This report does not discuss the specific players in the market serving the latent demand, nor specific details at the product level. The study also does not consider short-term cyclicalities that might affect realized sales. The study, therefore, is strategic in nature, taking an aggregate and long-run view, irrespective of the players or products involved. This study does not report actual sales data (which are simply unavailable, in a comparable or consistent manner in virtually all of the countries in Oceana). This study gives, however, my estimates for the latent demand, or the P.I.E. for airport security equipment in Oceana. It also shows how the P.I.E. is divided across the national markets of Oceana. For each country, I also show my estimates of how the P.I.E. grows over time (positive or negative growth). In order to make these estimates, a multi-stage methodology was employed that is often taught in courses on international strategic planning at graduate schools of business.

Table Of Contents:

1.1 Overview 7
1.2 What is Latent Demand and the P.I.E.? 7
1.3 The Methodology 8
1.3.1 Step 1. Product Definition and Data Collection 10
1.3.2 Step 2. Filtering and Smoothing 11
1.3.3 Step 3. Filling in Missing Values 11
1.3.4 Step 4. Varying Parameter, Non-linear Estimation 12
1.3.5 Step 5. Fixed-Parameter Linear Estimation 13
1.3.6 Step 6. Aggregation and Benchmarking 13
1.3.7 Step 7. Latent Demand Density: Allocating Across Cities 13
2.1 Executive Summary 15
2.2 American Samoa 16
2.3 Australia 17
2.4 Christmas Island 17
2.5 Cook Islands 17
2.6 Fiji 19
2.7 French Polynesia 19
2.8 Guam 20
2.9 Kiribati 21
2.10 Marshall Islands 21
2.11 Micronesia Federation 22
2.12 Nauru 22
2.13 New Caledonia 23
2.14 New Zealand 23
2.15 Niue 24
2.16 Norfolk Island 25
2.17 Palau 25
2.18 Solomon Islands 26
2.19 The Northern Mariana Island 26
2.20 Tokelau 27
2.21 Tonga 28
2.22 Tuvalu 28
2.23 Vanuatu 29
2.24 Wallis and Futuna 29
2.25 Western Samoa 30
2.26 Frequently Asked Questions (FAQ) 30
2.26.1 Category Definition 30
2.26.2 Units 30
2.26.3 Methodology 32
3.1 Disclaimers & Safe Harbor 33
3.2 Icon Group International, Inc. User Agreement Provisions 34

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