Now showing items 1-8 of 8

    • Alternative Estimation Procedures for Event-History Analysis: A Monte Carlo Study 

      Carroll, Glenn R; Hannan, Michael T; Tuma, Nancy Brandon; Warsavage, Barbara (2015-08-15)
      The authors compare alternative procedures for estimating parameters of event-history models: ordinary least squares, Kaplan-Meier least squares, maximum likelihood, and partial likelihood. They report results of simulations ...
    • Approaches to the Aggregation Problem 

      Hannan, Michael T (2015-08-12)
      The author describes and analyzes different sorts of problems from aggregation bias, a type of composition errors, that can result when shifting from group-level data to individual-level effects. He develops three approaches, ...
    • The Causal Approach to Measurement Error in Panel Analysis: Some Further Contingencies 

      Hannan, Michael T; Rubinson, Richard; Warren, Jean Tuttle (2015-08-12)
      The authors describe and analyze some issues in understanding causality from panel designs. They focus on complications that arise when multivariate panel models are measured with either random or systematic errors. The ...
    • Dynamics of Formal Political Structure: An Event-History Analysis 

      Hannan, Michael T; Carroll, Glenn R (2015-08-15)
      The authors apply event history analysis to records on 90 countries from 1950-1975 to test hypotheses consistent with world systems and modernization hypotheses. The hypotheses predict factors associated with political ...
    • Estimation in Panel Models: Results in Pooling Cross-Sections and Time Series 

      Hannan, Michael T; Young, Alice A (2015-08-15)
      The authors describe methodological issues of panel analysis designs; in particular, autocorrelation of errors across waves. They recommend constructing a “pooled” model of data from all waves to deal with design and ...
    • Methods for Temporal Analysis 

      Hannan, Michael T; Tuma, Nancy Brandon (2015-08-15)
      The authors review sociological literature describing different perspectives and uses of studies of change in discrete (qualitative) and quantitative outcomes. They show that, contrary to many injunctions, temporal analysis ...
    • Models of Change in Quantitative Variables, Part I: Deterministic Models 

      Hannan, Michael T (2015-08-15)
      The author explores methodological issues in developing stochastic models for changes in quantitative variables. The general approach here is to treat observed distributions as reflecting distributions of probabilities of ...
    • Quality of Maximum Likelihood Estimates of Parameters in a Log-Linear Rate Model 

      Fennell, Mary L; Tuma, Nancy Brandon; Hannan, Michael T (2015-08-15)
      The authors address four sources of indeterminacy in maximum likelihood estimation (MLE) for multivariate modeling of change using panel data: censoring, caused by changes that occur after the observation period ends; small ...