Ocurrió un error. Detalles Ocultar
Usted tiene páginas sin guardar. Restablecer Cancelar
Todos los conjuntos de datos:  E T
  • E
    • marzo 2017
      Fuente: Federal Reserve Bank of New York
      Subido por: Knoema
      Acceso el: 20 marzo, 2017
      Seleccionar base de datos
      The Empire State Manufacturing Survey seasonally adjusted data based on the Census X-12 additive procedure utilizing a logistic transformation.Logistic transformation procedure as follows:The not-seasonally adjusted series, expressed in decimal form (referred to as "p"), is transformed using the following equation:X = log(p/(1-p))The seasonal factor is then subtracted from X:adjX = X - seasonal factorThe result is then transformed using the following equation:Seasonally Adjusted Series = exponential(adjX)/(1+exponential(adjX))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 100.
  • T
    • marzo 2017
      Fuente: Federal Reserve Bank of New York
      Subido por: Knoema
      Acceso el: 23 marzo, 2017
      Seleccionar base de datos
      The New York Fed’s Survey of Consumer Expectations (SCE) provides timely and comprehensive information about consumer expectations through three broad categories: inflation, labour market and household finance. The SCE contains monthly insight about how consumers expect overall inflation and prices for food, gas, housing, education and medical care to change over time. It also provides Americans’ views about job prospects and earnings growth, as well as their expectations about future spending and access to credit. The SCE also provides measures of uncertainty in expectations for the main outcomes of interest. Expectations are available by age, income, education, numeracy and geography.