Baseline Analysis. Within forty-five (45) days after the Effective Date, Lucent will complete a baseline analysis of the existing state of the Network. Initially, this analysis will include a documentation of the architecture of the Network as of the Effective Date, including current services supported, objective and actual network performance, and operations criteria. Part of the analysis will be a gap analysis, which is an assessment of problems and issues with that architecture in light of WinStar's short and longer-term target services, network performance, and operating criteria. The remainder of the analysis will be a set of multiple network architecture views (generic, local and inter-city to support a broad product set including voice, data and video), services offered, end-to-end performance criteria, operations criteria (e.g. flow-through), and service product features, functionality and estimated cost points. WinStar agrees to provide timely internal information, expertise and participation in order to meet the schedule. Lucent will assign a chief architect (with a properly staffed supporting team) to initiate the baseline analysis within one week of the Effective Date.
Baseline Analysis. The baseline results for the full sample are presented in Figures 1-3 and Table 1. Figure 1 and Panel I in Table 1 define the outcome as equal to one if the country signs at least one new MEA in a given year, zero otherwise. Figure 2 and Panel II in Table 1 use an indicator depicting any form of new participation (i.e., signature, ratification, or entry into force) as the outcome. Lastly, the binary outcome in Figure 3 and Panel III of Table 1 denotes whether the country currently participates in any MEA regardless of the original participation date. In each figure, the left panel compares the sharp bounds on the ATE obtained under the assumption of exogenous selection to those obtained under no assumption on selection as Q varies from zero to five percent. The right panel reports the bounds under different combinations of the monotonicity assumptions concerning selection under the no false positives assumption concerning misclassification. The bounds in Table 1 (and the right panel in the figures) are obtained after imposing the no false positives assumption. To address the uncertainty arising from sampling variability, the table also reports Imbens-Manski (2004) 95% confidence intervals obtained using 100 bootstrap repetitions. Turning to the results, several findings stand out. First, under the assumptions of exogenous selection (column 1 in Table 1) and no misclassification error, the ATE is positive and statistically significant for all three outcomes. In the case of MEA participation based on signatures only, WTO membership is associated with a 19.0% increase (CI: [16.9%, 21.1%]) in the probability of a country becoming a new signatory to an open MEA in a given year. In the case of participation determined from signatures, ratifications, or instances of entry into force, WTO membership is 14The World Bank’s real GDP per capita data are in 2005 US dollars. Since some of the data from other sources are in 2000 US dollars, a conversion factor based on US GDP values (obtained from the Bureau of Economic Analysis) is utilized. More precisely, the values in 2000 US dollars are divided by 0.89 obtained from: Nominal GDP in 2000/Real GDP in 2000 (base 2009) . Nominal GDP in 2005/Real GDP in 2005 (base 2009) 15See xxxx://xxx.xxxxxxxxx.xxx/data/. 16See xxxxx://xxx.xxx.xxx/library/publications/the-world-factbook/index.html. associated with a 21.1% increase (CI: [18.7%, 23.6%]) in the probability of new MEA participation in a given year. Finally, WTO membership ...
Baseline Analysis. The purpose of this task is to review existing information and perform studies and analysis to establish existing conditions, and identify potential improvements for current NPR systems in the County. The scope of this task includes but is not limited to:
