Yigal Gerchak
Biographic Data
| ID | 5858839 |
|---|---|
| NAME | Yigal Gerchak |
| GIVEN NAMES | Yigal |
| FAMILY NAME | Gerchak |
| SIGNATURE | GERCHAK Y |
| AFFILIATIONS | Concordia University |
| ORCID | 0000-0002-4262-4482 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 12 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1980 |
| LATEST PUBLICATION YEAR | 1983 |
| H-INDEX | 2 |
Durations in Social States
On interactive chains with finite populations
An Interactive Markov Chain is a population process in which each individuals's transitions depend on the population's distribution over the various states. We investigate a certain aspect of such process’ dynamics for a fixed population size. Conditions for convergence to steady‐state regardless of population size are provided
The structure of indices of social mobility and inheritance
Three components of indices of social mobility and social inheritance (immobility) are identified, resulting in a procedure which allows one to systematically construct indices incorporating particular social priorities. The procedure is also useful analytically, since the sociological point of view reflected by a given index is made more apparent when the index is decomposed into its constituent parts
A stochastic model allowing interaction among individuals and its behavior for large populations
An important aspect of many societal and institutional processes is the way in which the involved individuals interact. Motivated by work of Conlisk (1976) we formulate a model which allows such interaction among a finite number of individuals. Conditions are established under which our model converges to an approximation suggested by Conlisk as the population becomes infinite. Notes Professor Gerchak's current address is Concordia University, Lo…
A stochastic model allowing interaction among individuals and its behavior for large populations
An important aspect of many societal and institutional processes is the way in which the involved individuals interact. Motivated by work of Conlisk (1976) we formulate a model which allows such interaction among a finite number of individuals. Conditions are established under which our model converges to an approximation suggested by Conlisk as the population becomes infinite. Notes Professor Gerchak's current address is Concordia University, Lo…
The structure of indices of social mobility and inheritance
Three components of indices of social mobility and social inheritance (immobility) are identified, resulting in a procedure which allows one to systematically construct indices incorporating particular social priorities. The procedure is also useful analytically, since the sociological point of view reflected by a given index is made more apparent when the index is decomposed into its constituent parts
On interactive chains with finite populations
An Interactive Markov Chain is a population process in which each individuals's transitions depend on the population's distribution over the various states. We investigate a certain aspect of such process’ dynamics for a fixed population size. Conditions for convergence to steady‐state regardless of population size are provided
A stochastic model allowing interaction among individuals and its behavior for large populations
An important aspect of many societal and institutional processes is the way in which the involved individuals interact. Motivated by work of Conlisk (1976) we formulate a model which allows such interaction among a finite number of individuals. Conditions are established under which our model converges to an approximation suggested by Conlisk as the population becomes infinite. Notes Professor Gerchak's current address is Concordia University, Lo…
The structure of indices of social mobility and inheritance
Three components of indices of social mobility and social inheritance (immobility) are identified, resulting in a procedure which allows one to systematically construct indices incorporating particular social priorities. The procedure is also useful analytically, since the sociological point of view reflected by a given index is made more apparent when the index is decomposed into its constituent parts
Durations in Social States
On interactive chains with finite populations
An Interactive Markov Chain is a population process in which each individuals's transitions depend on the population's distribution over the various states. We investigate a certain aspect of such process’ dynamics for a fixed population size. Conditions for convergence to steady‐state regardless of population size are provided
Mathematics (4 works) · Computer Science (3 works) · Physics (3 works) · Statistics (3 works) · Demography (2 works) · Demography (2 works) · Economics (2 works) · Game Theory and Applications (2 works) · Population (2 works) · Sociology (2 works)