Whilst it might seem uncontroversial that the health sciences search for causes – that is, for causes of disease and for effective treatments – the causal perspective is less obvious in social science research, perhaps because it is apparently harder to glean general laws in the social sciences than in other sciences, due the probabilistic character of human behaviour. Thus the search for causes in the social sciences is often perceived to be a vain enterprise and it is often thought that social studies merely describe the phenomena.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Anderson, S., A. Auquier, W.W. Hauck, D. Oakes, W. Vandaele and H.I. Weisberg (1980). Statistical Methods for Comparative Studies. New York: John Wiley & Sons.
Barndorff-Nielsen, O. (1978). Information and Exponential Families in Statistical Theory. New York: John Wiley & Sons.
Bollen, K.A. (1989). Structural Equations with Latent Variables. New York: John Wiley & Sons.
de Finetti, B. (1937). La prévision, ses lois logiques, ses sources subjectives. Annales de l’Institut Henri Poincaré 7: 1–68.
Durkheim, E. (1895–1912). Les régles de la méthode sociologique, 6th edition. Paris: Libraire Félix Arcan.
Durkheim, E. (1897–1960). Le suicide. Paris: Presses Universitaires de France.
Elwood, J.M. (1988). Causal Relationships in Medicine. Oxford: Oxford University Press.
Engle, R.F., D.F. Hendry and J.-F. Richard (1983). Exogeneity. Econometrica 51(2): 277–304.
Florens, J.-P. and M. Mouchart (1985). Conditioning in Dynamic Models. Journal of Time Series Analysis 53(1): 15–35.
Florens, J.-P., M. Mouchart and J.-F. Richard (1976). Likelihood Analysis of Linear Models. CORE Discussion Paper 7619. Université catholique de Louvain, Belgium.
Florens, J.-P., M. Mouchart and J.-F. Richard (1979). Specification and Inference in Linear Models. CORE Discussion Paper 7943. Université catholique de Louvain, Belgium.
Florens, J.-P., M. Mouchart and J.-M. Rolin (1990). Elements of Bayesian Statistics. New York: Marcel Dekker.
Hendry, D.F. and J.-F. Richard (1983). The Econometric Analysis of Economic Time Series. International Statistical Review 51: 111–163.
Hume, D. (1748). An Enquiry Concerning Human Understanding. Indianapolis: Bobbs-Merrill, 1955.
Jenicek, M. and R. Cléroux (1982). Epidémiologie. Paris: Maloine.
Leridon, H. and L. Toulemon (1997). Démographie. Approche statistique et dynamique des populations. Paris: Economica.
McNamee, R. (2003). Confounding and Confounders. Occupational and Environmental Medicine 60(3): 227–234.
Mill, J.S. (1843). A System of Logic. London: Longmans, Green and Co., 1889.
Morgan, S.L. and C. Winship (2007). Counterfactuals and Causal Inference. New York: Cambridge University Press.
Mouchart, M. and A. Oulhaj (2000). On Identification in Conditional Models. Discussion paper DP0015. Institut de statistique, UCL, Louvain-la-Neuve (B).
Mouchart, M. and M. Vandresse (2007). Bargaining Power and Market Segmentation in Freight Transport. Journal of Applied Econometrics 22: 1295–1313.
Neyman, J. and E. Scott (1948). Consistent Estimates Based on Partially Consistent Observations. Econometrica 16: 1–2.
Neyman, J. and E. Scott (1951). On Certain Methods of Estimating the Linear Structural Relationship. The Annals of Mathematical Statistics 22: 352–361. (Corrections: 23 (1952): 135.).
Oulhaj, A. and M. Mouchart (2003). The Role of the Exogenous Randomness in the Identification of Conditional Models. Metron LXI(2): 267–283.
Pearl, J. (2000). Causality. Cambridge: Cambridge University Press.
Popper, K. (1959). The Logic of Scientific Discovery. London: Hutchinson.
Quetelet, A. (1869). Physique sociale. Ou Essai sur le developpement des facultés de l’homme. Bruxelles: Muquardt.
Rabe-Hesketh, S., A. Skrondal and A. Pickels (2004). Generalized Multilevel Structural Equation Modelling. Psychometrika 69: 167–190.
Reirsól, O. (1950). Identifiability of a Linear Relation Between Variables Which Are Subject to Error. Econometrica 18: 375–389.
Russo, F. (2006). The Rationale of Variation in Methodological and Evidential Pluralism, Philosophica, 77, Special Issue on Causal Pluralism, pp. 97–124.
Russo, F. (2008). Causality and Causal Modelling in the Social Sciences. Measuring Variations. New York: Springer.
Russo, F., M. Mouchart, M. Ghins and G. Wunsch (2006). Statistical Modelling and Causality in Social Sciences. Discussion Paper 0601. Institut de Statistique, Université catholique de Louvain.
Savage, L.J. (1954). The Foundations of Statistics. New York: John Wiley.
Schlesselman, J.J. (1982). Case-Control Studies – Design, Conduct, Analysis. New York: Oxford University Press.
Skrondal, A. and S. Rabe-Hesketh (2004). Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Modeling. Boca Raton, FL: Chapman & Hall/CRC.
Suppes, P. (1970). A Probabilistic Theory of Causality. Amsterdam: North Holland Publishing Company.
Thomas, R.L. (1996). Modern Econometrics. Harlow: Addison-Wesley.
Wright, S. (1934). The Method of Path Coefficients. Annals of Mathematical Statistics 5(3): 161–215.
Williamson, J. (2005). Bayesian Nets and Causality. Oxford: Oxford University Press.
Wunsch, G. (2007). Confounding and Control. Demographic Research 16: 15–35.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer Science+Business Media B.V.
About this chapter
Cite this chapter
Mouchart, M., Russo, F., Wunsch, G. (2009). Structural Modelling, Exogeneity, and Causality. In: Engelhardt, H., Kohler, HP., Fürnkranz-Prskawetz, A. (eds) Causal Analysis in Population Studies. The Springer Series on Demographic Methods and Population Analysis, vol 23. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9967-0_4
Download citation
DOI: https://doi.org/10.1007/978-1-4020-9967-0_4
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-9966-3
Online ISBN: 978-1-4020-9967-0
eBook Packages: Humanities, Social Sciences and LawSocial Sciences (R0)