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  • I32  (2)
  • 1
    Electronic Resource
    Electronic Resource
    The uncertain unit root in the U.S. poverty rate (1997)
    Springer
    Empirical economics 22 (1997), S. 555-570 
    Details
    ISSN: 1435-8921
    Keywords: I32
    Source: Springer Online Journal Archives 1860-2000
    Topics: Economics
    Notes: Abstract The U.S. poverty rate, like many other aggregate economic time series, shows considerable persistence. It is logical to consider the model involving a unit root to provide a good description of the data generation process for the poverty rate. We pretest for unit roots in annual U.S. poverty rate data for the postwar period to examine its long-run features given the importance of a unit root for economic forecasting, macroeconometric cointegration modeling and Granger causality testing. Applying a number of available test procedures for pretesting on U.S. postwar poverty rate data, we find results that both support and contradict the claim that the poverty rate is a difference stationary process. The poverty rate data are found to be consistent with a unit root hypothesis when the alternative isI(0) with a linear trend. But the null hypothesis of a unit root is convincingly rejected when the alternative ofI(0) with a broken trend line for a break at an endogenous point in time is considered. The estimate of the break in the trend corresponds to an information technology shock during the early 1970s.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/BF01205780
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Analyzing perceived hunger across states in the US (1999)
    Springer
    Empirical economics 24 (1999), S. 323-329 
    Details
    ISSN: 1435-8921
    Keywords: Key words: Quantifying hunger ; JEL classification:D63 ; I38 ; I32
    Source: Springer Online Journal Archives 1860-2000
    Topics: Economics
    Notes: Abstract. This paper focuses on the problem of analyzing how factors impact hunger across states when hunger is ill-defined. Hunger (which is a latent variable) is presumed to depend on macroeconomic, legislation, policy, and demographic variables. Based on the Bayesian method of a posterior odds ratios, we find that the high school graduation rate appears to be the single most important factor we identify which affects the perceived hunger measure.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1007/s001810050057
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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