Aakvik, A., J. J. Heckman, and E. J. Vytlacil (1999). Training effects on employment when the training effects are heterogeneous: An application to Norwegian vocational rehabilitation programs. University of Bergen Working Paper 0599, and University of Chicago.
Aakvik, A., J. J. Heckman, and E. J. Vytlacil (2005). Estimating treatment effects for discrete outcomes when responses to treatment vary: An application to Norwegian vocational rehabilitation programs. Journal of Econometrics 125(1â2), 15â51.
Abadie, A. (2005). Semiparametric difference-in-differences estimators. The Review of Economic Studies 72(1), 1â19.
- Abbring, J. H. and J. J. Heckman (2007). Econometric evaluation of social programs, part III: Distributional treatment effects, dynamic treatment effects, dynamic discrete choice, and general equilibrium policy evaluation. In J. J. Heckman and E. E. Leamer (Eds.), Handbook of Econometrics, Volume 6B, Chapter 72, pp. 5145â5303. Amsterdam: Elsevier Science B. V.
Paper not yet in RePEc: Add citation now
Altonji, J. G. and R. L. Matzkin (2005, July). Cross section and panel data estimators for nonseparable models with endogenous regressors. Econometrica 73(4), 1053â1102.
- Amemiya, T. (1985). Advanced Econometrics. Cambridge, MA: Harvard University Press.
Paper not yet in RePEc: Add citation now
Angrist, J. D. and J.-S. Pischke (2009). Mostly Harmless Econometrics: An Empiricistâs Companion. Princeton, NJ: Princeton University Press.
- Angrist, J. D., G. W. Imbens, and D. Rubin (1996). Identification of causal effects using instrumental variables. Journal of the American Statistical Association 91(434), 444â455.
Paper not yet in RePEc: Add citation now
- Bareinboim, E. and J. Pearl (2016). Causal inference and the data-fusion problem. Proceedings of the National Academy of Sciences 113(27), 7345â7352.
Paper not yet in RePEc: Add citation now
Bertrand, M., E. Duflo, and S. Mullainathan (2004, February). How much should we trust differences-in-differences estimates? Quarterly Journal of Economics 119(1), 249â275.
Bjerkholt, O. and A. Dupont (2010). Ragnar Frischâs conception of econometrics. History of Political Economy 42(1), 21â73.
- Blundell, R. and J. Powell (2003). Endogeneity in nonparametric and semiparametric regression models. In L. P. H. M. Dewatripont and S. J. Turnovsky (Eds.), Advances in Economics and Econometrics: Theory and Applications, Eighth World Congress, Volume 2. Cambridge, UK: Cambridge University Press.
Paper not yet in RePEc: Add citation now
Blundell, R., A. Duncan, and C. Meghir (1998, July). Estimating labor supply responses using tax reforms. Econometrica 66(4), 827â861.
- Bollen, K. A. (1989). Structural Equations with Latent Variables. New York: Wiley.
Paper not yet in RePEc: Add citation now
- Bollen, K. A. (2002). Latent variables in psychology and the social sciences. Annual Review of Psych 53(1), 605â634.
Paper not yet in RePEc: Add citation now
- Bollen, K. A. and J. Pearl (2013). Eight myths about causality and structural equation models. In S. L. Morgan (Ed.), Handbook of Causal Analysis for Social Research, Chapter 15, pp. 301â328. Springer, Dordrecht.
Paper not yet in RePEc: Add citation now
- Brock, W. A. and S. N. Durlauf (2007). Identification of binary choice models with social interactions. Journal of Econometrics 140(1), 52â75.
Paper not yet in RePEc: Add citation now
- Buchinsky, M. and R. Pinto (2021). Using economic incentives to generate monotonicity criteria of iv models. Unpublished Manuscript, UCLA.
Paper not yet in RePEc: Add citation now
- Bursztyn, L. and D. Y. Yang (2021). Misperceptions about others. Working Paper 29168, NBER. Unpublished.
Paper not yet in RePEc: Add citation now
Cameron, S. V. and J. J. Heckman (1998, April). Life cycle schooling and dynamic selection bias: Models and evidence for five cohorts of American males. Journal of Political Economy 106(2), 262â333.
Carneiro, P., K. Hansen, and J. J. Heckman (2003, May). Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice. International Economic Review 44(2), 361â422.
- Chatfield, C. (2000). Time-Series Forecasting. CRC Press.
Paper not yet in RePEc: Add citation now
- Cox, D. R. (1958). Planning of Experiments. New York: Wiley.
Paper not yet in RePEc: Add citation now
Cunha, F., J. J. Heckman, and S. M. Schennach (2010, May). Estimating the technology of cognitive and noncognitive skill formation. Econometrica 78(3), 883â931.
Cunha, F., J. J. Heckman, and S. Navarro (2005, April). Separating uncertainty from heterogeneity in life cycle earnings, The 2004 Hicks Lecture. Oxford Economic Papers 57(2), 191â261.
- Dawid, A. P. (1976). Properties of diagnostic data distributions. Biometrics 32(3), 647â658.
Paper not yet in RePEc: Add citation now
- Dawid, A. P. (1979). Conditional independence in statistical theory (with discussion). Journal of the Royal Statistical Society. Series B (Statistical Methodological) 41(1), 1â31.
Paper not yet in RePEc: Add citation now
- Dippel, C., R. Gold, S. Heblich, and R. Pinto (2020). Mediation analysis in iv settings with a single instrument. Unpublished Manuscript.
Paper not yet in RePEc: Add citation now
- Ekeland, I., J. J. Heckman, and L. Nesheim (2004, February). Identification and estimation of hedonic models. Journal of Political Economy 112(S1), S60âS109. Paper in Honor of Sherwin Rosen: A Supplement to Volume 112.
Paper not yet in RePEc: Add citation now
- Fisher, F. (1966a). The Identification Problem in Econometrics. Economics handbook series. McGraw-Hill.
Paper not yet in RePEc: Add citation now
- Fisher, F. M. (1966b). The Identification Problem in Econometrics. New York: McGraw-Hill.
Paper not yet in RePEc: Add citation now
- Fisher, R. A. (1935). The Design of Experiments. London: Oliver and Boyd.
Paper not yet in RePEc: Add citation now
Frangakis, C. E. and D. Rubin (2002). Principal stratification in causal inference. Biometrics 58(1), 21â29.
- Frisch, R. (1930). A dynamic approach to economic theory: Lectures by Ragnar Frisch at Yale University. Lectures at Yale University beginning September, 1930. Mimeographed, 246 pp. Frisch Archives, Department of Economics, University of Oslo.
Paper not yet in RePEc: Add citation now
- Frisch, R. (1933, published 2009). In O. Bjerkholt and A. Dupont-Kieffer (Eds.), Problems and Methods of Econometrics: The PoincareÌ Lectures of Ragnar Frisch, 1933. New York, New York: Routledge.
Paper not yet in RePEc: Add citation now
- Frisch, R. (1933). ProbleÌmes et meÌthodes de lâeÌconomeÌtrie. Eight lectures given at Institut Henri PoincareÌ, University of Paris, March-April 1933. Frisch Archive, Department of Economics, University of Oslo.
Paper not yet in RePEc: Add citation now
- Frisch, R. (1938). Autonomy of economic relations: Statistical versus theoretical relations in economic macrodynamics. Paper given at League of Nations. Reprinted in D.F. Hendry and M.S. Morgan (1995), The Foundations of Econometric Analysis, Cambridge University Press.
Paper not yet in RePEc: Add citation now
- Geiger, D., T. Verma, and J. Pearl (1990). Identifying independence in bayesian networks. Networks 20(5), 507â534.
Paper not yet in RePEc: Add citation now
- Glymour, C., R. Scheines, and P. Spirtes (2014). Discovering Causal Structure: Artificial Intelligence, Philosophy of Science, and Statistical Modeling. Academic Press.
Paper not yet in RePEc: Add citation now
Goldberger, A. S. (1972, November). Structural equation methods in the social sciences.
- Goldberger, A. S. and O. D. Duncan (1973). Structural equation models in the social sciences. In O. D. Duncan and A. S. Goldberger (Eds.), Social Science Research Council (EÌtats-Unis) and University of Wisconsin. Social Systems Research Institute. New York: Seminar Press.
Paper not yet in RePEc: Add citation now
- Greenland, S., J. Pearl, and J. Robins (1999). Causal diagrams for epidemiologic research. Epidemiology 10 1, 37â48.
Paper not yet in RePEc: Add citation now
- Haavelmo, T. (1943, January). The statistical implications of a system of simultaneous equations. Econometrica 11(1), 1â12.
Paper not yet in RePEc: Add citation now
- Haavelmo, T. (1944). The probability approach in econometrics. Econometrica 12(Supplement), iiiâvi and 1â115.
Paper not yet in RePEc: Add citation now
- Hamilton, J. D. (2000). Time Series Analysis. Princeton University Press.
Paper not yet in RePEc: Add citation now
Hansen, L. P. and T. J. Sargent (1982, May). Instrumental variables procedures for estimating linear rational expectations models. Journal of Monetary Economics 9(3), 263â296.
Heckman, J. and R. Pinto (2018). Unordered monotonicity. Econometrica 86, 1â35.
Heckman, J. J. (1978, July). Dummy endogenous variables in a simultaneous equation system. Econometrica 46(4), 931â959.
Heckman, J. J. (1979, January). Sample selection bias as a specification error. Econometrica 47(1), 153â162.
Heckman, J. J. (2008a, April). Econometric causality. International Statistical Review 76(1), 1â27.
- Heckman, J. J. (2008b). The principles underlying evaluation estimators with an application to matching. Annales dâEconomie et de Statistiques 91â92, 9â73.
Paper not yet in RePEc: Add citation now
Heckman, J. J. and B. S. Singer (1984, March). A method for minimizing the impact of distributional assumptions in econometric models for duration data. Econometrica 52(2), 271â320.
- Heckman, J. J. and C. Taber (2008). The roy model. In S. N. Durlauf and L. E. Blume (Eds.), New Palgrave Dictionary of Economics (2 ed.). Basingstoke, UK: Palgrave Macmillan.
Paper not yet in RePEc: Add citation now
Heckman, J. J. and E. E. Leamer (2001). Handbook of Econometrics, Volume 5 of Handbooks in Economics. Amsterdam: North Holland.
Heckman, J. J. and E. E. Leamer (2007). Handbook of Econometrics, Volume 6AB of Handbooks in Economics. Amsterdam: North Holland.
- Heckman, J. J. and E. J. Vytlacil (1999, April). Local instrumental variables and latent variable models for identifying and bounding treatment effects. Proceedings of the National Academy of Sciences 96(8), 4730â4734.
Paper not yet in RePEc: Add citation now
Heckman, J. J. and E. J. Vytlacil (2005, May). Structural equations, treatment effects and econometric policy evaluation. Econometrica 73(3), 669â738.
- Heckman, J. J. and E. J. Vytlacil (2007a). Econometric evaluation of social programs, part I: Causal models, structural models and econometric policy evaluation. In J. J. Heckman and E. E. Leamer (Eds.), Handbook of Econometrics, Volume 6B, Chapter 70, pp. 4779â4874. Amsterdam: Elsevier B. V.
Paper not yet in RePEc: Add citation now
- Heckman, J. J. and E. J. Vytlacil (2007b). Econometric evaluation of social programs, part II: Using the marginal treatment effect to organize alternative economic estimators to evaluate social programs, and to forecast their effects in new environments. In J. J. Heckman and E. E. Leamer (Eds.), Handbook of Econometrics, Volume 6B, Chapter 71, pp. 4875â5143. Amsterdam: Elsevier B. V.
Paper not yet in RePEc: Add citation now
Heckman, J. J. and R. Pinto (2015). Causal analysis after Haavelmo. Econometric Theory 31(1), 115â151.
- Heckman, J. J. and R. Robb (1985a). Alternative methods for evaluating the impact of interventions. In J. J. Heckman and B. S. Singer (Eds.), Longitudinal Analysis of Labor Market Data, Volume 10, pp. 156â245. New York: Cambridge University Press.
Paper not yet in RePEc: Add citation now
- Heckman, J. J. and R. Robb (1985b, October-November). Alternative methods for evaluating the impact of interventions: An overview. Journal of Econometrics 30(1â2), 239â267.
Paper not yet in RePEc: Add citation now
Heckman, J. J. and S. Navarro (2004, February). Using matching, instrumental variables, and control functions to estimate economic choice models. Review of Economics and Statistics 86(1), 30â57.
Heckman, J. J., H. Ichimura, J. Smith, and P. E. Todd (1998, September). Characterizing selection bias using experimental data. Econometrica 66(5), 1017â1098.
Heckman, J. J., R. J. LaLonde, and J. A. Smith (1999). The economics and econometrics of active labor market programs. In O. C. Ashenfelter and D. Card (Eds.), Handbook of Labor Economics, Volume 3A, Chapter 31, pp. 1865â2097. New York: North-Holland.
- Heckman, J. J., S. UrzuÌa, and E. Vytlavil (2008). Instrumental variables in models with multiple outcomes: the general unordered case. Annales dâconomie et de Statistique (91/92), 151â174.
Paper not yet in RePEc: Add citation now
- Holland, P. W. (1986, December). Statistics and causal inference. Journal of the American Statistical Association 81(396), 945â960.
Paper not yet in RePEc: Add citation now
- Holland, P. W. (1997). Some reflections on Freedmans critiques. In Topics in the Foundation of Statistics, pp. 50â57. Springer.
Paper not yet in RePEc: Add citation now
- Hoyer, P. O., D. Janzing, J. M. Mooij, J. Peters, and B. SchoÌlkopf (2009). Nonlinear causal discovery with additive noise models. In D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou (Eds.), Advances in Neural Information Processing Systems 21, pp. 689â696. Curran Associates, Inc.
Paper not yet in RePEc: Add citation now
- Huang, Y. and M. Valtorta (2006). Pearlâs calculus of intervention is complete. In Proceedings of the Twenty-Second Conference on Uncertainty in Artificial Intelligence, UAIâ06, Arlington, Virginia, USA, pp. 217224. AUAI Press.
Paper not yet in RePEc: Add citation now
- Hurwicz, L. (1962). On the structural form of interdependent systems. In E. Nagel, P. Suppes, and A. Tarski (Eds.), Logic, Methodology and Philosophy of Science, pp. 232â239. Stanford University Press.
Paper not yet in RePEc: Add citation now
- Imai, K., L. Keele, and T. Yamamoto (2010). Identification, inference and sensitivity analysis for causal mediation effects. Statistical Science 25(1), 51â71.
Paper not yet in RePEc: Add citation now
Imai, K., L. Keele, D. Tingley, and T. Yamamoto (2011). Unpacking the black box of causality: Learning about causal mechanisms from experimental and observational studies. American Political Science Review 105, 765â789.
Imbens, G. W. and D. B. Rubin (2015). Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. Cambridge University Press.
Imbens, G. W. and J. D. Angrist (1994, March). Identification and estimation of local average treatment effects. Econometrica 62(2), 467â475.
- In Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009, pp. 514â521. AUAI Press.
Paper not yet in RePEc: Add citation now
- JoÌreskog, K. G. (1973). Analysis of covariance structures. In Multivariate AnalysisâIII, pp. 263â285. Elsevier.
Paper not yet in RePEc: Add citation now
- Kiiveri, H., T. P. Speed, and J. B. Carlin (1984). Recursive causal models. Journal of the Australian Mathematical Society (Series A), 30â52.
Paper not yet in RePEc: Add citation now
- Klein, L. R. and A. S. Goldberger (1955). An Econometric Model of the United States, 1929â1952. Amsterdam: North-Holland Publishing Company.
Paper not yet in RePEc: Add citation now
- Knight, F. (1921). Risk, Uncertainty and Profit. New York: Houghton Mifflin Company.
Paper not yet in RePEc: Add citation now
- Koopmans, T. C., H. Rubin, and R. B. Leipnik (1950). Measuring the equation systems of dynamic economics. In T. C. Koopmans (Ed.), Statistical Inference in Dynamic Economic Models, Number 10 in Cowles Commission Monograph, Chapter 2, pp. 53â237. New York: John Wiley & Sons.
Paper not yet in RePEc: Add citation now
- Lauritzen, S. L. (1996). Graphical Models. Oxford, UK: Clarendon Press.
Paper not yet in RePEc: Add citation now
Lee, S. and B. SalanieÌ (2018). Identifying effects of multivalued treatments. Econometrica 86, 1939â1963.
- Levin, B. and H. Robbins (1983, Autumn). Urn models for regression analysis, with applications to employment discrimination studies. Law and Contemporary Problems 46(4, Statistical Inference in Litigation), 247â267.
Paper not yet in RePEc: Add citation now
Lewbel, A. (2019). The identification zoo: Meanings of identification in econometrics. Journal of Economic Literature 57(4), 835â903.
- Lopez-Paz, D., R. Nishihara, S. Chintala, B. SchoÌlkopf, and L. Bottou (2017). Discovering causal signals in images. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 6979â6989.
Paper not yet in RePEc: Add citation now
- Lucas, Jr., R. E. (1976). Econometric policy evaluation: A critique. In K. Brunner and A. H. Meltzer (Eds.), The Phillips Curve and Labor Markets, Volume 1 of Carnegie-Rochester Conference Series on Public Policy. Amsterdam: North-Holland.
Paper not yet in RePEc: Add citation now
Manski, C. F. (1993, July). Identification of endogenous social effects: The reflection problem. Review of Economic Studies 60(3), 531â542.
- Marschak, J. (1953). Economic measurements for policy and prediction. In W. C. Hood and T. C. Koopmans (Eds.), Studies in Econometric Method, pp. 1â26. New Haven, CT: Yale University Press.
Paper not yet in RePEc: Add citation now
- Marshall, A. (1961). Principles of Economics (Ninth (Valorium) Edition ed.). London, Macmillan for the Royal Economic Society.
Paper not yet in RePEc: Add citation now
Mas-Colell, A., M. D. Whinston, and J. R. Green (1995). Microeconomic Theory. New York: Oxford University Press.
Matzkin, R. L. (1993, July). Nonparametric identification and estimation of polychotomous choice models. Journal of Econometrics 58(1â2), 137â168.
- Matzkin, R. L. (2007). Nonparametric identification. In J. J. Heckman and E. E. Leamer (Eds.), Handbook of Econometrics, Volume 6B. Amsterdam: Elsevier.
Paper not yet in RePEc: Add citation now
Matzkin, R. L. (2008). Identification in nonparametric simultaneous equations models. Econometrica 76(5), 945â978.
Matzkin, R. L. (2013). Nonparametric identification of structural economic models. Annual Review of Economics 5(1), 457â486.
Matzkin, R. L. (2015). Estimation of nonparametric models with simultaneity. Econometrica 83(1), 1â66.
- Mogstad, M. and A. Torgovitsky (2018). Identification and extrapolation of causal effects with instrumental variables. Annual Review of Economics 2, 577â613.
Paper not yet in RePEc: Add citation now
- Morgan, S. L. and C. Winship (2015). Counterfactuals and Causal Inference. Cambridge University Press.
Paper not yet in RePEc: Add citation now
- Nerlove, M. (1967). Recent empirical studies of the CES and related production functions. In The Theory and Empirical Analysis of Production, pp. 55â136. National Bureau of Economic Research.
Paper not yet in RePEc: Add citation now
- Neyman, J. (1923). Statistical problems in agricultural experiments. Journal of the Royal Statistical Society II (Supplement)(2), 107â180.
Paper not yet in RePEc: Add citation now
Olley, G. S. and A. Pakes (1996, November). The dynamics of productivity in the telecommunications equipment industry. Econometrica 64(6), 1263â1297.
- Pearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.
Paper not yet in RePEc: Add citation now
- Pearl, J. (1993). [Bayesian analysis in expert systems]: Comment: Graphical models, causality and intervention. Statistical Science 8(3), 266â269.
Paper not yet in RePEc: Add citation now
- Pearl, J. (1995, December). Causal diagrams for empirical research. Biometrika 82(4), 669â688.
Paper not yet in RePEc: Add citation now
- Pearl, J. (2009a). Causal inference in statistics: An overview. Statistics Surveys 3, 96â146.
Paper not yet in RePEc: Add citation now
- Pearl, J. (2009b). Causality: Models, Reasoning, and Inference (2nd ed.). New York: Cambridge University Press.
Paper not yet in RePEc: Add citation now
- Pearl, J. (2009c). Myth, confusion, and science in causal analysis. Technical Report, UCLA, Department of Statistics.
Paper not yet in RePEc: Add citation now
- Pearl, J. (2012). The do-calculus revisited. CoRR abs/1210.4852.
Paper not yet in RePEc: Add citation now
- Peters, J., D. Jazzing, and B. SchoÌlkopf (2017). Elements of Causal Inference: Foundations and Learning Algorithms. Cambridge, MA: MIT Press.
Paper not yet in RePEc: Add citation now
- Prakasa Rao, B. L. S. (1992). Identifiability in Stochastic Models: Characterization of Probability Distributions. Probability and mathematical statistics. Boston: Academic Press.
Paper not yet in RePEc: Add citation now
- Pratt, J. W. and R. Schlaifer (1984, March). On the nature and discovery of structure. Journal of the American Statistical Association 79(385), 9â33.
Paper not yet in RePEc: Add citation now
- Quandt, R. E. (1958, December). The estimation of the parameters of a linear regression system obeying two separate regimes. Journal of the American Statistical Association 53(284), 873â880.
Paper not yet in RePEc: Add citation now
- Quandt, R. E. (1988). The Econometrics of Disequilibrium. New York: Blackwell.
Paper not yet in RePEc: Add citation now
- Robins, J. (1986). A new approach to causal inference in mortality studies with a sustained exposure period: Application to control of the healthy worker survivor effect. Mathematical Modelling 7(9â12), 1393â1512.
Paper not yet in RePEc: Add citation now
- Rosen, S. (1986). The theory of equalizing differences. In O. Ashenfelter and R. Layard (Eds.), Handbook of Labor Economics, Volume 1, pp. 641â692. New York: North-Holland.
Paper not yet in RePEc: Add citation now
- Rosenbaum, P. R. and D. B. Rubin (1983, April). The central role of the propensity score in observational studies for causal effects. Biometrika 70(1), 41â55.
Paper not yet in RePEc: Add citation now
Roy, A. (1951, June). Some thoughts on the distribution of earnings. Oxford Economic Papers 3(2), 135â146.
- Rubin, D. B. (1974, October). Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology 66(5), 688â701.
Paper not yet in RePEc: Add citation now
- Rubin, D. B. (1978, January). Bayesian inference for causal effects: The role of randomization. Annals of Statistics 6(1), 34â58.
Paper not yet in RePEc: Add citation now
- Schennach, S. M. (2020). Mismeasured and unobserved variables. In S. N. Durlauf, L. P. Hansen, J. J. Heckman, and R. L. Matzkin (Eds.), Handbook of Econometrics, Volume 7A, Volume 7 of Handbook of Econometrics, pp. 487â565. Elsevier.
Paper not yet in RePEc: Add citation now
- Shpitser, I. and J. Pearl (2006, November). Identification of joint interventional distributions in recursive semi-markovian causal models. In Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06, Proceedings of the National Conference on Artificial Intelligence, pp. 1219â1226. 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06 ; Conference date: 16-07-2006 Through 20-07-2006.
Paper not yet in RePEc: Add citation now
- Shpitser, I. and J. Pearl (2009). Effects of treatment on the treated: Identification and generalization.
Paper not yet in RePEc: Add citation now
Tamer, E. (2003, January). Incomplete simultaneous discrete response model with multiple equilibria. Review of Economic Studies 70(1), 147â165.
- Telser, L. G. (1964, September). Iterative estimation of a set of linear regression equations. Journal of the American Statistical Association 59(307), 845â862.
Paper not yet in RePEc: Add citation now
- Theil, H. (1953). Esimation and Simultaneous Correlation in Complete Equation Systems. The Hague: Central Planning Bureau. Mimeographed memorandum.
Paper not yet in RePEc: Add citation now
- Theil, H. (1958). Economic Forecasts and Policy. Number 15 in Contributions to Economic Analysis. Amsterdam: North-Holland Publishing Company.
Paper not yet in RePEc: Add citation now
- Theil, H. (1971). Principles of Econometrics. New York: Wiley.
Paper not yet in RePEc: Add citation now
- Tinbergen, J. (1930, October). Bestimmung und deutung von angebotskurven ein beispiel. Zeitschrift fuÌr NationaloÌkonomie 1(5), 669â679.
Paper not yet in RePEc: Add citation now
- Tinbergen, J. (1939, January). Statistical Testing of Business Cycle Theories: Part II: Business Cycles in the United States of America, 1919â1932. Geneva: League of Nations, Economic Intelligence Service.
Paper not yet in RePEc: Add citation now
Vytlacil, E. J. (2002, January). Independence, monotonicity, and latent index models: An equivalence result. Econometrica 70(1), 331â341.
- Wright, S. (1921). Correlation and causation. Journal of Agricultural Research 20, 557â585.
Paper not yet in RePEc: Add citation now
- Wright, S. (1934). The method of path coefficients. Annals of Mathematical Statistics 5(3), 161â215.
Paper not yet in RePEc: Add citation now
- Yamamoto, T. (2014). Identification and estimation of causal mediation effects with treatment noncompliance. Unpublished Manuscript, MIT Department of Political Science.
Paper not yet in RePEc: Add citation now