Advertisement

Journal of Quantitative Economics

, Volume 3, Issue 1, pp 1–20 | Cite as

Causal Inference and Scientific Explanation in Economics

  • D. M. Nachane
Article

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. K.O. Apel (1977): “Types of social sciences in the light of human interest of knowledge”, Social Research, Vol. 44, p. 425–470.Google Scholar
  2. L. Boland (1979): “A critique of Friendman’s critics”, Journal of Economic Literature, Vol.17, p. 503–522.Google Scholar
  3. L. Boltzman (1910): Vorlusungen uber gastheorie (2 Vls), Leipzig.Google Scholar
  4. R. Braithwaite (1953): Scientific Explanation, Cambridge UniversityPress, Cambridge.Google Scholar
  5. M. Bunge (1979): Causality: The Place of the Causal Principle in Modern Science, Dover, New York.Google Scholar
  6. B. Caldwell (1982): Beyond Positivism: Economic Methodology in the Twentieth Century, Allen & Unwin, London.Google Scholar
  7. R. Carnap (1950): Logical Foundations of Probability, University of Chicago Press, Chicago.Google Scholar
  8. A. Comte (1842): Cours de Philosophie Positive, Paris.Google Scholar
  9. T. Dobzhansky (1974): “Chance and creativity in evlution”, in J. Ayala & T. Dobzhansky (ed.): Studies in the Philosophy of Biology, University of California Press, Los Angeles.Google Scholar
  10. W. Dray (1957): Laws and Explanation in History, Oxford University Press, Oxford.Google Scholar
  11. A. Einstein, B. Podolsky & N. Rosen (1935): “Can quantum mechanical description of physical reality be considered complete?”, Physical Review, Vol. 47, p. 777–780.CrossRefGoogle Scholar
  12. R. Epstein (1987): A History of Econometrics, Elsevier Science Publishers, Amsterdam.Google Scholar
  13. H. Feigl (1953): “Notes on causality” in H. Feigl & M. Brodbeck (ed.), Readings in the Philosophy of Science, Appleton-Century Crofts, New York, p. 408–418.Google Scholar
  14. R.P. Feynman (1985): Surely You’re Joking, Mr. Feynman, Bantam, New York.Google Scholar
  15. B.C. van Fraassen (1989): Laws and Symmetry, Clarendon Press, Oxford.CrossRefGoogle Scholar
  16. C. Glymour & P. Spirtes (1988): “Latent variables, causal models and over-identifying constraints”, Journal of Econometrics, Vol.39 (No.1 & 2), p. 175–198.CrossRefGoogle Scholar
  17. C. Glymour et al (1987): Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modelling, Academic Press, Orlando, Florida.Google Scholar
  18. C.W.J. Granger (1969): “Investigating causal relations by econometric models and cross-spectral methods”, Econometrica, Vol.36, p. 424–438.CrossRefGoogle Scholar
  19. T. Haavelmo (1944): “The probability approach in econometrics”, Econometrica, (Supplement), Vol.12, July.Google Scholar
  20. F. Hahn (1992): “Answer to Backhouse: Yes”, Royal Economic Society Newsletter, (July).Google Scholar
  21. F. von Hayek (1989): “Nobel Memorial Lecture”, American Economic Review, Vol. 79, p. 3–7.Google Scholar
  22. C.G. Hempel & P. Oppenheim (1948): “Studies in the logic of explanation” Philosophy of Science, Vol. 15 (1948), p. 135–175.CrossRefGoogle Scholar
  23. C.G. Hempel (1965): Aspects of Scientific Explanation and Other Essays in the Philosophy of Science, Free Press, New York.Google Scholar
  24. C.G. Hempel (1966): Philosophy of Natural Science, Prentice Hall, Englewood Cliffs, New Jersey.Google Scholar
  25. D.F. Hendry (1993): Econometrics: Alchemy or Science? Basil Blackwell, Oxford.Google Scholar
  26. J.R. Hicks (1979): Causality in Economics, Basil Blackwell, OxfordGoogle Scholar
  27. K.D. Hoover (1995): “Why does methodology matter for economics?’ Economic Journal Vol.105, p.714–734.CrossRefGoogle Scholar
  28. K.D. Hoover (2001): Causality in Macroeconomics, Cambridge University Press, Cambridge.CrossRefGoogle Scholar
  29. K.D. Hoover & S.J. Perez (1999): “Data mining reconsidered: Encompassing and the general-to-specific approach to specification search” Econometrics Journal, Vol. 2 (No. 2) p. 167–191.CrossRefGoogle Scholar
  30. Iwasaki, Y. and H.A. Simon (1994): “Causality and Model Abstraction”, Artificial Intelligence, Vol. 67, p. 143–194.CrossRefGoogle Scholar
  31. H. Jeffreys (1931): Scientific Inference, Cambridge University Press.Google Scholar
  32. H. Jeffreys (1939): Theory of Probability, Clarendon Press, Oxford.Google Scholar
  33. H.A. Keuzenkamp (2000): Probability, Econometrics and Truth, Cambridge University Press.CrossRefGoogle Scholar
  34. J.M. Keynes (1921): A Treatise on Probability, St.Martin’s Press, New York.Google Scholar
  35. I.M. Kirzner (1976): “On the method of Austrian economics” in E.G. Dolan (ed), The Foundations of Modem Austrian Economics, Sheed & Ward Inc., Kansas.Google Scholar
  36. J.M. Keynes (1939): “Professor Tinbergen’s method”, Economic Journal Vol. 49, p. 558–568.CrossRefGoogle Scholar
  37. A. Kolmogorov (1933): Grund Begriffe der Wahrshaheinlich - Keitsrechnung II, Springer - Verlag, Berlin.Google Scholar
  38. T.C. Koopmans (1947): “Measurement without theory”, Review of Economic Statistics, Vol. 29, p. 161–172.CrossRefGoogle Scholar
  39. T.C. Koopmans (1949): “A reply (to R. Vining)”, Review of Economic Statistics, Vol.31, p. 86–91.CrossRefGoogle Scholar
  40. T.C. Koopmans (1950) (ed): Statistical Inference in Dynamic Economic Models, Cowles Commission Monograph No. 10.Google Scholar
  41. L. Kruger (1987): “The slow rise of probabilism: Philosophical arguments in the Nineteenth Century” in Kruger et al (ed) The Probabilistic Revolution, Vol.1, MIT Press, Cambridge (Mars.)Google Scholar
  42. I. Lakatos (1971): Philosophical Papers Vol.l, Cambridge University Press.Google Scholar
  43. T Lawson (1987): “The relative/absolute nature of knowledge”, Economic Journal, Vol. 97, p. 951–970.CrossRefGoogle Scholar
  44. S.F. Le Roy (1995): “Causal orderings” in K.D. Hoover (ed) Macroeconometrics: Developments, Tensions and Prospects, Kluwer, Boston.Google Scholar
  45. J.M. Levy Leblond (1977): “Towards a proper quantum theory” in J.L. Lopes & M. Paty (ed) Quantum Mechanics: A Half Century Later, Reidel, Boston.Google Scholar
  46. E. Mach (1914): The Analysis of Sensations, Open Court, Chicago.Google Scholar
  47. J.L.I. Mackie (1965): “Causes and conditions” American Philosophical Quarterly, Vol.2, p.245–264.Google Scholar
  48. D. McCloskey (1983): “The rhetoric of economics”, Journal of Economic Literature, Vol.21, p.481–517.Google Scholar
  49. G. Mendel (1870): Experiments on Plant Hybridization, (Tr.) Harvard University Press (1946).Google Scholar
  50. J.S. Mill (1843): A System of Logic, Longmans Green, London.Google Scholar
  51. W. Mitchell (1913): Business Cycles, University of California Press.Google Scholar
  52. J. Monod (1970): Le Hasard et La Necessite, du Seuil, Paris.Google Scholar
  53. M.S. Morgan (1990): The History of Econometric Ideas, Cambridge University Press.CrossRefGoogle Scholar
  54. D.M. Nachane & N. Hatekar (1995): “The Bullionist controversy: An empirical reappraisal” The Manchester School, Vol. 63 (4).Google Scholar
  55. E. Nagel (1961): The Structure of Science, Routledge & Kegan Paul, London.CrossRefGoogle Scholar
  56. I. Niiniluoto (1981): “Statistical explanation reconsidered”, Synthese, Vol.48, p. 437–472.CrossRefGoogle Scholar
  57. I. Niiniluoto & R. Tuomela (1973): Theoretical Concepts and Hypothetico-lnductive Inference, Dodrecht, Reidel.CrossRefGoogle Scholar
  58. D. Noble (1966): “Charles Taylor on teleological explanation”, Analysis, Vol.27, p. 96–103.CrossRefGoogle Scholar
  59. K. Pearson (1911): The Grammar of Science, Adam & Charles Black, London.Google Scholar
  60. C.S. Peirce (1892): “The doctrine of necessity examined”, The Monist, p. 321–337.Google Scholar
  61. A. Quetlet (1869): Physique Sociale: An Essai Sur Le Development des Faculte’s de L’Homme, Paris.Google Scholar
  62. C.R. Rao (1989): Statistics and Truth, CSIR, New Delhi.Google Scholar
  63. J. Rissanen (1983): “A universal prior for integers and estimation by minimum description length”, Annals of Statistics, Vol. 11, p. 416–431.CrossRefGoogle Scholar
  64. J. Rissanen (1987): “Stochastic complexity (with discussion)” Journal of the Royal Statistical Society, Ser. B, Vol. 49, p. 223–239, 252–265.Google Scholar
  65. J. Rissanen (1989): Stochastic Complexity in Statistical Inquiry, World Books, SingaporeGoogle Scholar
  66. L. Robbins (1935): An Essay on the Nature and Significance of Economic Science, Macmillan, London.Google Scholar
  67. B. Russell (1913): “On the notion of cause”, Proceedings of the Aristotelian Society, Vol. 13, p. 1–26.CrossRefGoogle Scholar
  68. B. Russell (1945): A History of Western Philosophy, Simong Schuster, New York.Google Scholar
  69. W. Salmon (1980): “Probabilistic Causality”, Pacific Philosophical Quarterly, Vol.61, p. 50–74.CrossRefGoogle Scholar
  70. W. Salmon (1984): Scientific Explanation and the Causal Structure of the World, Princeton University Press.Google Scholar
  71. H. Simon (1953): Models of Man, Wiley, New York.Google Scholar
  72. H. Simon & Y. Iwasaki (1988): “Causal ordering, comparative statics and near decomposability”, Journal of Econometrics, Vol. 39 (No.1 & 2), p. 149–174.CrossRefGoogle Scholar
  73. R. Solomonoff (1964): “A formal theory of inductive inference: I & II”, Information and Control, Vol.7, p.1–22 & p. 224–254.CrossRefGoogle Scholar
  74. T.L.S. Sprigg (1971): “Final causes” Proceedings of the Aristotelian Society, Suppl. Vol.45, p. 149–170.CrossRefGoogle Scholar
  75. R. Strotz (1960): “Interdependence as a specification error”, Econometrica, Vol.28, p. 428–442.CrossRefGoogle Scholar
  76. R. Strotz & H.O.A. Wold (1960): “Recursive vs. nonrecursive systems: An attempt at synthesis” Econometrica, Vol. 28, p. 417–427.CrossRefGoogle Scholar
  77. P. Suppes (1970): A Probabilistic Theory of Causality, North-Holland, Amsterdam.Google Scholar
  78. N.R. Swanson & C.W.J. Granger (1997): “Impulse response functions based on a causal approach to residual orthogonalization in vector autoregressions”, Journal of the American Statistical Association, Vol. 92, p. 357–367.CrossRefGoogle Scholar
  79. C. Taylor (1964): The Explanation of Behaviour, Routledge, London.Google Scholar
  80. J. Tinbergen (1939): Statistical Testing of Business Cycle Theories, League of Nations, Geneva.Google Scholar
  81. R. Vining (1949): “Koopmans on the choice of variables to be studied and of methods of measurement” Review of Economic Statistics, Vol. 31, p. 77–86.CrossRefGoogle Scholar
  82. N. Weiner (1956): “The theory of prediction” in E.F. Beckenback (ed) Modern Mathematics for Engineers, McGraw-Hill, New York.Google Scholar
  83. J. Wishart (1928/29): “Sampling errors in the theory of two factors”, British Journal of Psychology, Vol. 19, p. 180–187.Google Scholar
  84. H.O.A. Wold (1960): “Construction principles of simultaneous equation models in econometrics”, L’lnstitut International de Statistique, Session 32.Google Scholar
  85. A. Zellner (1988): “Causality and causal laws in econometrics” Journal of Econometrics, Vol. 39, (No.1 & 2), p. 7–21.CrossRefGoogle Scholar
  86. A. Zellner, H. A. Keuzenkamp & M. McAleer (ed.) (2001): Simplicity, Inference and Modelling, Cambridge University PressGoogle Scholar
  87. A. Zellner & F. Palm (1974): “Time series analysis and simultaneous equation econometric models”, Journal of Econometrics, Vol. 2, p. 17–54.CrossRefGoogle Scholar

Copyright information

© The Indian Econometric Society 2005

Authors and Affiliations

  • D. M. Nachane

There are no affiliations available

Personalised recommendations