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Empire State Manufacturing Survey (overview) - FEDERAL RESERVE BANK of NEW YORK
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The term empire has entered common usage, not only among critics but also among advocates of muscular US policy and global superiority. Influential Washington neo-conservatives are using the E-word freely, insisting that the United States is the world's most benevolent nation and that it should use its imperial power robustly to expand "freedom" across the globe. This section considers not only the utility of the Empire concept but also the way in which the United States empire or not deploys its economic, political and military power globally, limiting the force of international law, shrinking the capacity of international organizations, and reducing the possibility of multilateral action and democratic self-governance in an increasingly interdependent world.
We ask also: what limits will this empire encounter, can it sustain "full spectrum dominance" for the forseeable future or will it provoke such broad opposition that its era of hegemony and prosperity comes swiftly and decisively to a close?
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Global Policy Forum. April is the first report, although survey data date back to July The survey is sent on the first day of each month to the same pool of about manufacturing executives in New York State, typically the president or CEO. About responses are received.
Most are completed by the tenth, although surveys are accepted until the fifteenth. Respondents come from a wide range of industries from across the New York State. No one industry dominates the respondent pool. The survey's main index, general business conditions, is not a weighted average of other indicators—it is a distinct question posed on the survey. Each index is seasonally adjusted when stable seasonality is detected. Revisions Each January, all data undergo a benchmark revision to reflect new seasonal factors.
Seasonal Adjustment The Empire State Manufacturing Survey seasonally adjusts data based on the Census X additive procedure utilizing a logistic transformation. The "increase" and "decrease" percentage components of the diffusion indexes are each tested for seasonality separately and adjusted accordingly if such patterns exist. If no seasonality is detected, the component is left unadjusted. The "no change" component contains the residual, computed by subtracting the adjusted increase and decrease from Seasonal factors are forecast in December for the upcoming year. Data are adjusted using a logistic transformation.
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