This folder holds the following references to publications, sorted by year and author.
There are 30 references in this bibliography folder.
Chen, P and Flaschel, P
Keynesian dynamics and the wage-price spiral: identifying downward rigidities
Computational Economics, 25:115-142.
Automatic inference of the contemporaneous causal order of a system of equations
Econometric Theory, 21:69-77.
Bach, F and Jordan, M
Learning graphical models for stationary time series
IEEE Tansmitions on Signal Processing, 52:2189-2199.
Demiralp, S and Hoover, K
Searching for the causal structure of a vector autoregression
Oxford Bulletin of Economics and statistics, 65:745-767.
Jonsson, M and Palmqvist, S
Do higher wages cause inflation?
Sveriges Riksbank (Central Bank of Sweden), Working Paper Series(159).
Granger causality and path diagrams for multivariate time series
Department of Statistics, University of Chicago, Discussion papers.
What is wrong with Bayes nets?
Spirtes, P, Glymour, C, and Scheines, R
Causation, prediction and search
Springer-Verlag, New York / Berlin / London / Heidelberg / Paris, 2nd ed.
Graphical interpretation for multivariate time series
Hess, G and Schweitzer, M
Does wage inflation cause price inflation?
Federal Reserve Bank of Cleverland, Policy Discussion Paper(10).
Cambridge University Press, 1st edition ed.
Wage growth and the inflation process: A multivariate cointegration analysis
Journal of Money, Credit and Baking, 31:417-431.
Freedman, D and Humphreys, P
Are there algorithms that discover causal structure?
University of California, Technical Report(514).
Explaning the recent behavior of inflation and unemployment in the united states
IMF, working paper(98/145).
Do producer prices help predict consumer prices?
Federal Reserve Bank of Kansas City, Research Working Paper(97-09).
Staiger, D, Stock, J, and Watson, M
The NAIRU, unemployment and monetary policy
Jounal of Economic Perspectives, 11:33-49.
Swanson, N and Granger, J
Impulse response functions based on causal approach to residual orthogonalization in vector autoregressions
Journal of the American Statistical Association, 92:357-367.
A tutorial on Learning with Bayesian networks
Heckerman, D, Geiger, D, and Chickering, D
Learning Bayesian network: The combination of knowledge and statistical data
Machine Learning, 20:197-243.
Sectoral wage growth and the inflation
Topics in advanced econometrics
Springer-Verlag, Heidelberg, 1st ed.
Unit labor costs and the price level
Federal Reserve Bank of Richmond Economic Review, 79:25-53.
No names specified
A theory of inferred causation
In J.A. Allen, R. Fikes, and E. Sandewall (Eds.), Principles of knowledge representation and reasoning: procedings of the 2nd international conference:441-52.
Pearl, J and Verma, T
A theory of inferred causation
In: Principles of knowledge representation and reasoning: proceedings of the 2nd international conference, ed. by J.A. Allen, R. Fikes, and E. Sandewall, pp. 441-452, Morgan Kaufmann, San Mateo, CA.
Glymour, S and Spirtes, G
Latent variables, causal model and overidentfying constraints
Journal of Econometrics, 39:175-198.