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Testing for a unit root in Lee-Carter mortality model

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      <subfield code="a">Leng, Xuan</subfield>
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      <subfield code="a">Testing for a unit root in Lee-Carter mortality model</subfield>
      <subfield code="c">Xuan Leng, Liang Peng</subfield>
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      <subfield code="a">Motivated by a recent discovery that the two-step inference for the LeeCarter mortality model may be inconsistent when the mortality index does not follow from a nearly integrated AR(1) process, we propose a test for a unit root in a LeeCartermodelwith an AR(p) process for themortality index. Although testing for a unit root has been studied extensively in econometrics, the method and asymptotic results developed in this paper are unconventional. Unlike a blind application of existing R packages for implementing the two-step inference procedure in Lee and Carter (1992) to the U.S. mortality rate data, the proposed test rejects the null hypothesis that the mortality index follows from a unit root AR(1) process, which calls for serious attention on using the future mortality projections based on the LeeCarter model in policy making, pricing annuities and hedging longevity risk. A simulation study is conducted to examine the finite sample behavior of the proposed test too.</subfield>
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      <subfield code="a">Longevidad</subfield>
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      <subfield code="d">Belgium : ASTIN and AFIR Sections of the International Actuarial Association</subfield>
      <subfield code="x">0515-0361</subfield>
      <subfield code="g">01/09/2017 Volumen 47 Número 3 - septiembre 2017 , p. 715-735</subfield>
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