Joint and separate score tests for state dependence and unobserved heterogeneity

The paper compares separate, conditional, and joint score tests of duration dependence and unobserved heterogeneity when the null is the exponential model and the alternative is the heterogeneous Weibull model. The score tests based on the conditional score function include the Neyman C(α) test as a...

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Veröffentlicht in:Journal of econometrics 1994, Vol.60 (1), p.273-291
Hauptverfasser: Jaggia, Sanjiv, Trivedi, Pravin K.
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container_title Journal of econometrics
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creator Jaggia, Sanjiv
Trivedi, Pravin K.
description The paper compares separate, conditional, and joint score tests of duration dependence and unobserved heterogeneity when the null is the exponential model and the alternative is the heterogeneous Weibull model. The score tests based on the conditional score function include the Neyman C(α) test as a special case. An examination of the non-null distribution of the joint test explains when all score tests have low power in the presence of multiple misspecifications. Monte Carlo experiments show that the conditional score tests are superior to the standard separate tests which confound unobserved heterogeneity and duration dependence.
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source RePEc; Elsevier ScienceDirect Journals; Periodicals Index Online
subjects Applications
Biology, psychology, social sciences
C-alpha test
Comparative studies
Conditional score
Econometrics
Economic models
Economic theory
Exact sciences and technology
Insurance, economics, finance
Mathematics
Medical sciences
Monte Carlo simulation
Probability and statistics
Reliability, life testing, quality control
Sciences and techniques of general use
Statistics
Test methods
title Joint and separate score tests for state dependence and unobserved heterogeneity
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