Michel Mouchart
Biographic Data
| ID | 1630633 |
|---|---|
| NAME | Michel Mouchart |
| GIVEN NAMES | Michel |
| FAMILY NAME | Mouchart |
| SIGNATURE | MOUCHART M |
| AFFILIATIONS | UCLouvain |
| ORCID | 0000-0002-2344-5251 |
| VERIFIED | Yes |
| TOTAL WORKS | 44 |
| TOTAL CITATIONS | 52 |
| AUTHOR COUNT | 43 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 1968 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 4 |
Big data analytics. A demographer’s perspective
In the past few years, several demographers have pointed out the need to consider big data in population studies. Some are in favour of data-driven approaches, as statistical algorithms could discover novel patterns in the data. This paper examines some of the methods, both old and new, that have been developed for detecting patterns and associations in the data. It concludes with a discussion on how big data and big data analytics can contribute…
Two-mode clustering through profiles of regions and sectors
Time and causality in the social sciences
This article deals with the role of time in causal models in the social sciences. The aim is to underline the importance of time-sensitive causal models, in contrast to time-free models. The relation between time and causality is important, though a complex one, as the debates in the philosophy of science show. In particular, an outstanding issue is whether one can derive causal ordering from time ordering. The article examines how time is taken …
Causal attribution in block-recursive social systems: A structural modeling perspective
One method for causal analysis in the social sciences is structural modeling. Structural models, as used in this article, model the (causal) mechanism for a social phenomenon by recursively decomposing the multivariate distribution of the variables of interest. Often, however, one does not achieve a complete decomposition in terms of single variables but in terms of "blocks" of variables only. Papers giving an overview of this issue are neverthel…
A stochastic independence approach for measuring regional specialization and concentration
This paper proposes an integrated framework for discussing issues related to regional concentration, sectorial specialization and overall localization by considering these concepts as a row-column association- or non-independence- in a two-way contingency table 'regions × sectors'. This is the approach of stochastic independence, in which the degree of concentration, or of specialization, is measured by discrepancies among distributions: between …
Controlling Variables in Social Systems - A Structural Modelling Approach
Determining the variables to be controlled for is usually a major problem in the social sciences when analyzing possible causal relations. A structural modelling approach, having recourse to directed acyclic graphs, is presented here as a consistent framework for determining a coherent set of guidelines when deciding what variables should be controlled. Two rules are developed for determining control variables when studying respectively the direc…
Impact of parental ages and other characteristics at childbearing on congenital anomalies: Results for the Czech Republic, 2000-2007
While it is widely known that maternal age at childbearing plays a role in the occurrence of Down syndrome, less is known about the effects of maternal age on other major congenital anomalies. Information on the possible effects of other maternal characteristics and of the age of the father is even scarcer
Specifying Statistical Models: From Parametric to Non-Parametric, Using Bayesian or Non-Bayesian Approaches
Inferring Causality through Counterfactuals in Observational Studies - Some Epistemological Issues
L’inférence causale par contrefactuels dans les études observationnelles — Quelques épistémologiques : Cet article contribue au débat sur les vertus et les vices de contrefactuels comme base pour l’inférence causale. L’objectif est de mettre l’approche contrefactuelle dans une perspective épistémologique. Nous discutons d’un certain nombre de questions, allant de sa base non observable au parallélisme établi entre cette approche en statistique et…
Do We Necessarily Need Longitudinal Data to Infer Causal Relations
A-t-on nécessairement besoin de données longitudinales pour inférer des relations causales ? Il est généralement admis que les causes précèdent leurs effets dans le temps. Cela justifie usuellement la préférence pour les études longitudinales par rapport aux études transversales, parce que les premières permettent la modèlisation du processus dynamique engendrant le résultat, tandis que les secondes ne le peuvent pas. Les partisans de l’approche …
Self-Rated Health in the Baltic Countries, 1994–1999: Santé subjective dans les Pays Baltes, 1994–1999
Démographie: Analyse et synthèse. Volume VII- Histoire des idées et des politiques de population
Démographie: Analyse et synthèse. Volume VIII- Observation, méthodes auxiliaires, enseignement et recherche
Démographie, analyse et synthèse 8 Vol
Confounding and control
This paper deals both with the issues of confounding and of control, as the definition of a confounding factor is far from universal and there exist different methodological approaches, ex ante and ex post, for controlling for a confounding factor. In
Paternal Age and Child Death: The Stillbirth Case
Parents’ age at birth of their offspring and child survival
This study presents some new results on parental age as a risk factor for child survival. The study is based on individual registration forms for live births and infant deaths collected in Hungary from 1984 to 1988. Logistic regression models have been fitted for early neonatal and neonatal mortality on the one hand, and post-neonatal mortality on the other hand. Children of older males and females have significantly higher early neonatal and neo…
Bart J. de Bruijn, Foundations of Demographic Theory
Socio-Economic differences in mortality. A life course approach
L'avenir de L'espérance de Vie
Système de soins et mortalité régionale: Une analyse causale
Differential Mortality: Methodological Issues and Biosocial Factors
There are strongly pronounced differentials between survival chances for different social classes in less developed countries. This book gives insight into the variety of factors-biological, social, economic and cultural-associated with these inequalities in mortality rates. Certain of the papers deal with new conceptual approaches and methodological issues, while others cover particular countries in Asia and Latin America, providing overall an i…
Unnatural Causes: The Three Leading Killer Diseases in America
Modelo de estructura de covarianzas para el análisis de las diferencias espaciales de la mortalidad mexicana
El análisis causal de los fenómenos demográficos necesita considerar diferentes problemas: el nivel de análisis, la anterioridad temporal de las causas sobre sus efectos, el paso de conceptos a indicadores y los métodos de análisis estadísticos. En este trabajo hemos examinado algunos posibles determinantes de los diferenciales espaciales de la mortalidad en México, utilizando un modelo analítico de caminos con variables latentes. El modelo se aj…
Méthodes spatio-temporelles pour l'analyse de la mortalité
Spatio-temporal Methods for Analysis of Mortality. Methods for the study of regional differences in mortality have to take both space and time into account. The article points out some possible approaches, and several of the difficulties involved. The problem of spatial and serial autocorrelations has to be solved, as well as that of multicollinearity between time-dependent causal variables. One must also avoid ecological fallacies, take account …
Do We Necessarily Need Longitudinal Data to Infer Causal Relations
A-t-on nécessairement besoin de données longitudinales pour inférer des relations causales ? Il est généralement admis que les causes précèdent leurs effets dans le temps. Cela justifie usuellement la préférence pour les études longitudinales par rapport aux études transversales, parce que les premières permettent la modèlisation du processus dynamique engendrant le résultat, tandis que les secondes ne le peuvent pas. Les partisans de l’approche …
Socio-Economic differences in mortality. A life course approach
Self-Rated Health in the Baltic Countries, 1994–1999: Santé subjective dans les Pays Baltes, 1994–1999
Confounding and control
This paper deals both with the issues of confounding and of control, as the definition of a confounding factor is far from universal and there exist different methodological approaches, ex ante and ex post, for controlling for a confounding factor. In
Causal attribution in block-recursive social systems: A structural modeling perspective
One method for causal analysis in the social sciences is structural modeling. Structural models, as used in this article, model the (causal) mechanism for a social phenomenon by recursively decomposing the multivariate distribution of the variables of interest. Often, however, one does not achieve a complete decomposition in terms of single variables but in terms of "blocks" of variables only. Papers giving an overview of this issue are neverthel…
Controlling Variables in Social Systems - A Structural Modelling Approach
Determining the variables to be controlled for is usually a major problem in the social sciences when analyzing possible causal relations. A structural modelling approach, having recourse to directed acyclic graphs, is presented here as a consistent framework for determining a coherent set of guidelines when deciding what variables should be controlled. Two rules are developed for determining control variables when studying respectively the direc…
Inferring Causality through Counterfactuals in Observational Studies - Some Epistemological Issues
L’inférence causale par contrefactuels dans les études observationnelles — Quelques épistémologiques : Cet article contribue au débat sur les vertus et les vices de contrefactuels comme base pour l’inférence causale. L’objectif est de mettre l’approche contrefactuelle dans une perspective épistémologique. Nous discutons d’un certain nombre de questions, allant de sa base non observable au parallélisme établi entre cette approche en statistique et…
A stochastic independence approach for measuring regional specialization and concentration
This paper proposes an integrated framework for discussing issues related to regional concentration, sectorial specialization and overall localization by considering these concepts as a row-column association- or non-independence- in a two-way contingency table 'regions × sectors'. This is the approach of stochastic independence, in which the degree of concentration, or of specialization, is measured by discrepancies among distributions: between …
Parents’ age at birth of their offspring and child survival
This study presents some new results on parental age as a risk factor for child survival. The study is based on individual registration forms for live births and infant deaths collected in Hungary from 1984 to 1988. Logistic regression models have been fitted for early neonatal and neonatal mortality on the one hand, and post-neonatal mortality on the other hand. Children of older males and females have significantly higher early neonatal and neo…
Impact of parental ages and other characteristics at childbearing on congenital anomalies: Results for the Czech Republic, 2000-2007
While it is widely known that maternal age at childbearing plays a role in the occurrence of Down syndrome, less is known about the effects of maternal age on other major congenital anomalies. Information on the possible effects of other maternal characteristics and of the age of the father is even scarcer
Démographie, analyse et synthèse 8 Vol
Paternal Age and Child Death: The Stillbirth Case
Système de soins et mortalité régionale: Une analyse causale
Modelo de estructura de covarianzas para el análisis de las diferencias espaciales de la mortalidad mexicana
El análisis causal de los fenómenos demográficos necesita considerar diferentes problemas: el nivel de análisis, la anterioridad temporal de las causas sobre sus efectos, el paso de conceptos a indicadores y los métodos de análisis estadísticos. En este trabajo hemos examinado algunos posibles determinantes de los diferenciales espaciales de la mortalidad en México, utilizando un modelo analítico de caminos con variables latentes. El modelo se aj…
Relations Generales Entre Mouvement et Structure Demographiques: Synthèse des Méthodes et des Applications Récentes
Causal Connections in Causal Modeling
Les mesures de la natalite. Quelques applications a la Belgique
Etude demographique de la nuptialite en Belgique
Etude Demographique de la Nuptialite en Belgique
Le Vieillissement de la Belgique
Dynamique des Populations
Le quotient d'éventualité et ses évaluations
Wunsch Guillaume, Masuy-Stroobant Godelièvre. Le quotient d'éventualité et ses évaluations. In: Population, 31e année, n°6, 1976. pp. 1298-1305
Introduction to Demographic Analysis: Principles and Methods
Introduction to Demographic Analysis: Principles and Methods
Méthodes d'analyse démographique pour les pays en développement
Introduction to Demographic Analysis
Methodes d'Analyse Demographique pour les Pays en Developpement
Vingt Ans de Mortalite au Quebec. Les Causes de Deces 1951-1971
Sex Differentials in Mortality: Trends, Determinants and Consequences
This book contains a selection of papers presented at a conference on sex differentials in mortality jointly organized by the Australian National University the United Nations and the World Health Organization and held in Canberra Australia December 1-7 1981. The papers are grouped under the following general topics: patterns and trends determinants social and demographic implications economic consequences public health aspects methodological iss…
Alternative Approaches to Time Series Analysis
Causal Connections in Causal Modeling
Relations Generales Entre Mouvement et Structure Demographiques: Synthèse des Méthodes et des Applications Récentes
Démographie. La Belgique en 43 Arrondissements
Differential Mortality: Methodological Issues and Biosocial Factors
PART I: Lado T. Ruzicka: INTRODUCTION: Problems and issues in the study of mortality differentials PART II: METHODOLOGICAL ISSUES: Josianne Duchene & Guillaume Wunsch: Conceptual frameworks and causal modelling onald H. Gray: The integration of demographic and epidemiologic approaches to studies of health in developing countries Shiro Horiuchi: Some methodological issues in the assessment of the deceleration of the mortality decline Stan D'Souza:…
Méthodes spatio-temporelles pour l'analyse de la mortalité
Spatio-temporal Methods for Analysis of Mortality. Methods for the study of regional differences in mortality have to take both space and time into account. The article points out some possible approaches, and several of the difficulties involved. The problem of spatial and serial autocorrelations has to be solved, as well as that of multicollinearity between time-dependent causal variables. One must also avoid ecological fallacies, take account …
Mesure et Analyse de la Mortalité. Nouvelles Approaches
Unnatural Causes: The Three Leading Killer Diseases in America
Modelo de estructura de covarianzas para el análisis de las diferencias espaciales de la mortalidad mexicana
El análisis causal de los fenómenos demográficos necesita considerar diferentes problemas: el nivel de análisis, la anterioridad temporal de las causas sobre sus efectos, el paso de conceptos a indicadores y los métodos de análisis estadísticos. En este trabajo hemos examinado algunos posibles determinantes de los diferenciales espaciales de la mortalidad en México, utilizando un modelo analítico de caminos con variables latentes. El modelo se aj…
Système de soins et mortalité régionale: Une analyse causale
Differential Mortality: Methodological Issues and Biosocial Factors
There are strongly pronounced differentials between survival chances for different social classes in less developed countries. This book gives insight into the variety of factors-biological, social, economic and cultural-associated with these inequalities in mortality rates. Certain of the papers deal with new conceptual approaches and methodological issues, while others cover particular countries in Asia and Latin America, providing overall an i…
L'avenir de L'espérance de Vie
Mathematics (12 works) · Political science (11 works) · Economics (10 works) · Geography (10 works) · Insurance, Mortality, Demography, Risk Management (10 works) · Sociology (10 works) · Statistics (10 works) · Demography (9 works) · Computer Science (8 works) · Econometrics (8 works)