The 2016-2021 Outlook for Air Traffic Control (ATC) Equipment in The Middle East

 Published On: Jul, 2013 |    No of Pages: 38 |  Published By: Icon Group International, Inc | Format: PDF
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This econometric study covers the outlook for air traffic control (atc) equipment in the Middle East. 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 Middle East). This study gives, however, my estimates for the latent demand, or the P.I.E. for air traffic control (atc) equipment in the Middle East. It also shows how the P.I.E. is divided across the national markets of the Middle East. 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 6
1.2 What is Latent Demand and the P.I.E.? 6
1.3 The Methodology 7
1.3.1 Step 1. Product Definition and Data Collection 9
1.3.2 Step 2. Filtering and Smoothing 10
1.3.3 Step 3. Filling in Missing Values 11
1.3.4 Step 4. Varying Parameter, Non-linear Estimation 11
1.3.5 Step 5. Fixed-Parameter Linear Estimation 12
1.3.6 Step 6. Aggregation and Benchmarking 12
1.3.7 Step 7. Latent Demand Density: Allocating Across Cities 12
2.1 Executive Summary 14
2.2 Afghanistan 15
2.3 Armenia 16
2.4 Azerbaijan 16
2.5 Bahrain 18
2.6 Iran 19
2.7 Iraq 20
2.8 Israel 21
2.9 Jordan 21
2.10 Kuwait 22
2.11 Kyrgyzstan 23
2.12 Lebanon 23
2.13 Oman 24
2.14 Pakistan 25
2.15 Palestine 26
2.16 Qatar 26
2.17 Saudi Arabia 27
2.18 Syrian Arab Republic 28
2.19 Tajikistan 29
2.20 The United Arab Emirates 29
2.21 Turkey 30
2.22 Turkmenistan 31
2.23 Uzbekistan 31
2.24 Yemen 32
2.25 Frequently Asked Questions (FAQ) 33
2.25.1 Category Definition 33
2.25.2 Units 33
2.25.3 Methodology 34
3.1 Disclaimers & Safe Harbor 36
3.2 Icon Group International, Inc. User Agreement Provisions 37

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