John Allen Logan
Biographic Data
| ID | 3889535 |
|---|---|
| NAME | John Allen Logan |
| GIVEN NAMES | John Allen |
| FAMILY NAME | Logan |
| SIGNATURE | LOGAN J A |
| AFFILIATIONS | University of Wisconsin–Madison |
| VERIFIED | No |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 67 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 1981 |
| LATEST PUBLICATION YEAR | 1998 |
| H-INDEX | 5 |
Estimating Two-Sided Logit Models
Logan (1996a) introduced a new micro-behavioral model of employment opportunity and choice, and a multivariate statistical method based on the micro-behavioral model. This article considers the connection between the behavioral model and the two-sided logit (TSL) statistical method in more detail than the original paper, discussing issues of parameter identification, model constraints, data reduction, and practical estimation. The article compare…
Rational Choice and the TSL Model of Occupational Opportunity
Logan (1996b) proposes a two-sided logit (TSL) model for estimating the preferences of workers and employers which determine employment matches in labor markets. Analysis of this model shows that TSL allows empirical estimation of the contribution of both instrumental and immanent values in occupational opportunity, preserving the threefold structure of rational choice described by Hechter (1994). It is also shown that the TSL model is related to…
Opportunity and Choice in Socially Structured Labor Markets
Employment outcomes depend on opportunity and choice, both of which are subject to structural influences. This article presents a new approach to studying the factors that determine employment outcomes. It develops a statistical technique, two-sided logit (TSL), directly from a model of the preferences and resources of employers and workers. Opportunity and choice are functions of these preferences and resources. Application of the TSL model to 1…
Rules of Access and Shifts in Demand: A Comparison of Log-Linear and Two-Sided Logit Models
Understanding Social Inequality: Modeling Allocation Processes. Humbert M. Blalock, Jr
How Not to Measure Intergenerational Occupational Persistence
This article is an invited critique of Rytina's proposal that canonically weighted scales for detailed occupations be used to assess intergeneratinal occupational persistence. These canonical scales yield higher intergenerational correlations than the Duncan SEI primarily because they capitalize on chance fluctuations in the data used to construct them. Thus, there is no reliable basis for revising previous findings about the relative importance …
A Multivariate Model for Mobility Tables
A general "logistic-multiplicative" model is developed which incorporates variables besides origin category to predict destination category in occupational mobility tables. The additional variables can be continuous or categorical. The (partial) bivariate relationship between origin and destination can be modeled with any of the existing multiplicative mobility models. In an empirical example, two main results emerge: interactions off the main di…
A structural model of the higher‐order Markov process incorporating reversion effects
The paper presents a formal approach which may increase the realism and parsimony of higher‐order Markov models applied to certain human behaviors. Often in behavioral applications, any improvements in fit available from increasing the order of a Markov model would be more than offset by interpretive problems caused by the very rapid increase in the number of independent parameters. The model proposed here for the higher‐order process greatly red…
Opportunity and Choice in Socially Structured Labor Markets
Employment outcomes depend on opportunity and choice, both of which are subject to structural influences. This article presents a new approach to studying the factors that determine employment outcomes. It develops a statistical technique, two-sided logit (TSL), directly from a model of the preferences and resources of employers and workers. Opportunity and choice are functions of these preferences and resources. Application of the TSL model to 1…
How Not to Measure Intergenerational Occupational Persistence
This article is an invited critique of Rytina's proposal that canonically weighted scales for detailed occupations be used to assess intergeneratinal occupational persistence. These canonical scales yield higher intergenerational correlations than the Duncan SEI primarily because they capitalize on chance fluctuations in the data used to construct them. Thus, there is no reliable basis for revising previous findings about the relative importance …
Estimating Two-Sided Logit Models
Logan (1996a) introduced a new micro-behavioral model of employment opportunity and choice, and a multivariate statistical method based on the micro-behavioral model. This article considers the connection between the behavioral model and the two-sided logit (TSL) statistical method in more detail than the original paper, discussing issues of parameter identification, model constraints, data reduction, and practical estimation. The article compare…
Rules of Access and Shifts in Demand: A Comparison of Log-Linear and Two-Sided Logit Models
A Multivariate Model for Mobility Tables
A general "logistic-multiplicative" model is developed which incorporates variables besides origin category to predict destination category in occupational mobility tables. The additional variables can be continuous or categorical. The (partial) bivariate relationship between origin and destination can be modeled with any of the existing multiplicative mobility models. In an empirical example, two main results emerge: interactions off the main di…
A structural model of the higher‐order Markov process incorporating reversion effects
The paper presents a formal approach which may increase the realism and parsimony of higher‐order Markov models applied to certain human behaviors. Often in behavioral applications, any improvements in fit available from increasing the order of a Markov model would be more than offset by interpretive problems caused by the very rapid increase in the number of independent parameters. The model proposed here for the higher‐order process greatly red…
A structural model of the higher‐order Markov process incorporating reversion effects
The paper presents a formal approach which may increase the realism and parsimony of higher‐order Markov models applied to certain human behaviors. Often in behavioral applications, any improvements in fit available from increasing the order of a Markov model would be more than offset by interpretive problems caused by the very rapid increase in the number of independent parameters. The model proposed here for the higher‐order process greatly red…
A Multivariate Model for Mobility Tables
A general "logistic-multiplicative" model is developed which incorporates variables besides origin category to predict destination category in occupational mobility tables. The additional variables can be continuous or categorical. The (partial) bivariate relationship between origin and destination can be modeled with any of the existing multiplicative mobility models. In an empirical example, two main results emerge: interactions off the main di…
How Not to Measure Intergenerational Occupational Persistence
This article is an invited critique of Rytina's proposal that canonically weighted scales for detailed occupations be used to assess intergeneratinal occupational persistence. These canonical scales yield higher intergenerational correlations than the Duncan SEI primarily because they capitalize on chance fluctuations in the data used to construct them. Thus, there is no reliable basis for revising previous findings about the relative importance …
Understanding Social Inequality: Modeling Allocation Processes. Humbert M. Blalock, Jr
Rational Choice and the TSL Model of Occupational Opportunity
Logan (1996b) proposes a two-sided logit (TSL) model for estimating the preferences of workers and employers which determine employment matches in labor markets. Analysis of this model shows that TSL allows empirical estimation of the contribution of both instrumental and immanent values in occupational opportunity, preserving the threefold structure of rational choice described by Hechter (1994). It is also shown that the TSL model is related to…
Opportunity and Choice in Socially Structured Labor Markets
Employment outcomes depend on opportunity and choice, both of which are subject to structural influences. This article presents a new approach to studying the factors that determine employment outcomes. It develops a statistical technique, two-sided logit (TSL), directly from a model of the preferences and resources of employers and workers. Opportunity and choice are functions of these preferences and resources. Application of the TSL model to 1…
Rules of Access and Shifts in Demand: A Comparison of Log-Linear and Two-Sided Logit Models
Estimating Two-Sided Logit Models
Logan (1996a) introduced a new micro-behavioral model of employment opportunity and choice, and a multivariate statistical method based on the micro-behavioral model. This article considers the connection between the behavioral model and the two-sided logit (TSL) statistical method in more detail than the original paper, discussing issues of parameter identification, model constraints, data reduction, and practical estimation. The article compare…
Computer Science (7 works) · Econometrics (7 works) · Mathematics (7 works) · Statistics (5 works) · Economics (4 works) · Logit (4 works) · Logistic regression (3 works) · Sociology (3 works) · Spatial and Panel Data Analysis (3 works) · Urban, Neighborhood, and Segregation Studies (3 works)