The 2016-2021 Outlook for Airport Airside Services in The Americas

 Published On: Jul, 2013 |    No of Pages: 56 |  Published By: Icon Group International, Inc | Format: PDF
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This econometric study covers the outlook for airport airside services in The Americas. 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 The Americas). This study gives, however, my estimates for the latent demand, or the P.I.E. for airport airside services in The Americas. It also shows how the P.I.E. is divided across the national markets of The Americas. 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 INTRODUCTION 7
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 THE AMERICAS 15
2.1 Executive Summary 15
2.2 Antigua and Barbuda 16
2.3 Argentina 17
2.4 Aruba 17
2.5 Barbados 17
2.6 Belize 19
2.7 Bermuda 20
2.8 Bolivia 20
2.9 Brazil 21
2.10 Canada 22
2.11 Chile 23
2.12 Colombia 24
2.13 Costa Rica 25
2.14 Cuba 26
2.15 Dominica 27
2.16 Dominican Republic 27
2.17 Ecuador 28
2.18 El Salvador 29
2.19 French Guiana 29
2.20 Greenland 30
2.21 Grenada 31
2.22 Guadeloupe 31
2.23 Guatemala 32
2.24 Guyana 33
2.25 Haiti 33
2.26 Honduras 34
2.27 Jamaica 35
2.28 Martinique 35
2.29 Mexico 36
2.30 Nicaragua 37
2.31 Panama 38
2.32 Paraguay 39
2.33 Peru 40
2.34 Puerto Rico 41
2.35 St. Kitts and Nevis 42
2.36 St. Lucia 42
2.37 St. Vincent and the Grenadines 43
2.38 Suriname 44
2.39 The Bahamas 44
2.40 The British Virgin Islands 45
2.41 The Cayman Islands 46
2.42 The Falkland Islands 46
2.43 The U.S. Virgin Islands 47
2.44 The United States 48
2.45 Trinidad and Tobago 49
2.46 Uruguay 49
2.47 Venezuela 50
2.48 Frequently Asked Questions (FAQ) 51
2.48.1 Category Definition 51
2.48.2 Units 51
2.48.3 Methodology 52
3 DISCLAIMERS, WARRANTEES, AND USER AGREEMENT PROVISIONS 54
3.1 Disclaimers & Safe Harbor 54
3.2 Icon Group International, Inc. User Agreement Provisions 55

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