Aït-Sahalia, Y., Bickel, P.J., & Stoker, T.M. (2001) Goodness-of-fit tests for kernel regression with an application to option implied volatilities. Journal of Econometrics 105, 363–412.
Bae, Y. & de Jone, R. (2007) Money demand function estimation by nonlinear cointegration. Journal of Applied Econometrics 22, 767–793.
Blundell, R. & Horowitz, J.L. (2007) A non-parametric test of exogeneity. Review of Economic Studies 74, 1035–1058.
Bouezmarni, T., Rombouts, J.V.K., & Taamouti, A. (2012) Nonparametric copula-based test for conditional independence with applications to granger causality. Journal of Business and Economic Statistics 30, 275–287.
Bouezmarni, T. & Taamouti, A. (2014) Nonparametric tests for conditional independence using conditional distributions. Journal of Nonparametric Statistics 26, 697–719.
Campbell, J.Y. (1992) No news is good news: An asymmetric model of changing volatility in stock returns. Journal of Financial Economics 31, 281–318.
Casillas-Olvera, G. & Bessler, D.A. (2006) Probability forecasting and central bank accountability. Journal of Policy Modeling 28, 223–234.
Chen, B. & Hong, Y. (2010) Characteristic function-based testing for multifactor continuous-time markov models via nonparametric regression. Econometric Theory 26, 1115–1179.
Chen, R. & Tsay, R.S. (1993) Functional-coefficient autoregressive models. Journal of American Statistical Association 88, 298–308.
Christiano, L.J. & Ljungqvist, L. (1988) Money does Granger-cause output in the bivariate money-output relation. Journal of Monetary Economics 22, 217–235.
Clements, M.P. (2004) Evaluating the Bank of England density forecasts of inflation. Economic Journal 114, 844–866.
Dawid, A.P. (1979) Conditional independence in statistical theory. Journal of Royal Statistical Society: Series B 41, 1–31.
Dawid, A.P. (1980) Conditional independence for statistical operations. Annals of Statistics 8, 598–617.
Diebold, F.X., Hahn, J., & Tay, A.S. (1999) Multivariate density forecast evaluation and calibration in financial risk management: High-frequency returns of foreign exchange. Review of Economics and Statistics 81, 661–673.
Easley, D. & O’Hara, M. (1987) Price, trade size, and information in securities markets. Journal of Financial Economics 19, 69–90.
Engle, R.F., Lilien, D.M., & Robins, R.P. (1987) Estimating time varying risk premia in the term structure: The ARCH-M model. Econometrica 55, 391–407.
Fan, Y. & Gijbels, I. (1996) Local Polynomial Modelling and its Applications. Chapman and Hall.
Fan, Y. & Li, Q. (1996) Consistent model specification tests: Omitted varibales and semiparametric function forms. Econometrica 64, 865–890.
Fan, Y. & Li, Q. (1999) Root –n– consistent estimation of partially linear time series models. Journal of Nonparametric Statistics 10, 245–271.
Friedman, B.M. & Kutter, K.N. (1993) Another look at the evidence on money-income causality. Journal of Econometrics 57, 189–203.
Gao, J. & Gijbels, I. (2008) Bandwidth selection in nonparametric kernel testing. Journal of American Statistical Association 103, 1584–1594.
Granger, C.W.J. (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37, 424–438.
Granger, C.W.J. (1980) Testing for causality: A personal viewpoint. Journal of Economic Dynamics and Control 2, 329–352.
Hahn, J., Todd, P., & Klaauw, W.V. (2001) Identification and estimation of treatment effects with a regression-discontinuity design. Econometrica 69, 201–209.
Heckman, J.D. (1976) The common structure of statistical models of truncation, sample selection and limited dependent variables and a simple estimator for such models. Annals of Economic and Social Measurement 5, 475–492.
Hjellvik, V., Yao, Q., & Tjøstheim, D. (1998) Linearity testing using local polynomial approximation. Journal of Statistical Planning and Inference 68, 295–321.
Hong, Y. (1999) Hypothesis testing in time series via the empirical characteristic function: A generalized spectral density approach. Journal of American Statistical Association 94, 1201–1220.
Horowitz, J.L. & Manski, C.F. (2000) Nonparametric analysis of randomized experiments with missing covariate and outcome data. Journal of American Statistical Association 95, 77–84.
Horowitz, J.L. & Spokoiny, V.G. (2001) An adaptive, rate-optimal test of a parametric mean-regression model against a nonparametric alternative. Econometrica 69, 599–631.
Huang, T.M. (2010) Testing conditional independence using maximal nonlinear conditional correlation. Annals of Statistics 38, 2047–2091.
Huang, M., Sun, Y., & White, H. (2016) A flexible nonparametric test for conditional independence, Econometric Theory 32, 1–49.
Kandil, M. (1995) Asymmetric norminal flexibility and economic fluctuations. Southern Economic Journal 61, 674–695.
Kim, C.J. & Nelson, C.R. (2006) Estimation of a forward-looking monetary policy rule: A time-varying parameter model using ex post data. Journal of Monetary Economics 53, 1949–1966.
Lavergne, P. & Vuong, Q. (2000) Nonparametric siginificance testing. Econometric Theory 16, 576–601.
Lee, J. (2013) A Consistent Nonparametric Bootstrap Test of Exogeneity. Working paper, University of St Andrews.
Lee, T. & Yang, W. (2012) Money-income granger-causality in quantiles. In Millimet, D. & Terrell, D. (eds.), Advances in Econometrics, vol. 30, pp. 383–407. Emerald Publishers.
Linton, O. & Gozalo, P. (2014) Testing conditional independence restrictions. Econometric Reviews 33, 523–552.
Little, R.J.A. (1985) A note about models for selectivity bias. Econometrica 53, 1469–1474.
Manski, C.F. (2000) Identification problems and decisions under ambiguity: Empirical analysis of treatment response and normative analysis of treatment choice. Journal of Econometrics 95, 415–442.
Manski, C.F. (2003) Partial Identification of Probability Distribution. Springer-Verlag.
Manski, C.F. (2007) Identification for Prediction and Decision. Princeton University Press.
Masry, E. (1996a) Multivariate local polynomial regression for time series: Uniform strong consistency and rates. Journal of Time Series Analysis 17, 571–599.
Masry, E. (1996b) Multivariate regression estimation: local polynomial fitting for time series. Stochastic Processes and Their Applications 65, 81–101.
Nishiyama, Y., Hitomi, K., Kawasaki, Y., & Jeong, K. (2011) A consistent nonparametric test for nonlinear causalityłspecification in time series regression. Journal of Econometrics 165, 112–127.
Nobay, R.A. & Peel, D.A. (2003) Optimal discretionary monetary policy in a model of asymmetric central bank preferences. Economic Journal 113, 657–665.
Paparodits, E. & Politis, D.N. (2000) The local bootstrap for kernel estimators under general dependence conditions. Annals of the Institute of Statistical Mathmatics 52, 139–159.
Peiró, A. (1999) Skewness in financial returns. Journal of Banking and Finance 23, 847–862.
Phillips, P.C.B. (1988) Conditional and unconditional statistical independence. Journal of Econometrics 38, 341–348.
Priestley, M.B. (1988) Nonlinear and Nonstationary Time Series Analysis. Academic Press.
Psaradakis, Z., Ravn, M.O., & Sola, M. (2005) Markov switching causality and the money-output relationship. Journal of Applied Econometrics 20, 665–683.
Rosenblatt, M. (1975) A quadratic measure of deviation of two-dimensional density estimates and a test of independence. Annals of Statistics 3, 1–14.
Rubin, D.B. (1976) Inference and missing data. Biometrika 63, 581–592.
Rust, J. (1994) Structural estimation of markov decision processes. In Engle, R.F. & McFadden, D.L. (eds.), Handbook of Econometrics, vol. 4, pp. 3081–3143. Elsevier.
Sims, C.A. (1972) Money, income, and causality. American Economic Review 62, 540–552.
Sims, C.A. (1980) Macroeconomics and reality. Econometrica 48, 1–48.
Song, K. (2009) Testing conditional independence via rosenblatt transforms. Annals of Statistics 37, 4011–4045.
Stock, J.H. & Watson, M.W. (1989) Interpretating the evidence on money-income causality. Journal of Econometrics 40, 161–181.
Su, L. & Ullah, A. (2009) Testing conditional uncorrelatedness. Journal of Business and Economic Statistics 27, 18–29.
Su, L. & White, H. (2007) A consistent characteristic function-based test for conditional independence. Journal of Econometrics 141, 807–834.
Su, L. & White, H. (2008) A nonparametric hellinger metric test for conditional independence. Econometric Theory 24, 829–864.
Su, L. & White, H. (2012) Conditional independence specification testing for dependent process with local polynomial quantile regression. Advances in Econometrics 29, 355–434.
Su, L. & White, H. (2014) Testing conditional independence via empirical likelihood. Journal of Econometrics 182, 27–44.
Sun, Y., Phillips, P., & Jin, S. (2008) Optimal bandwidth selection in heteroskedasticity-autocorrelation robust testing. Econometrica 76, 175–194.
Taamouti, A., Bouezmarni, T., & El Ghouch, A. (2014) Nonparametric estimation and inference for conditional density based granger causality measures. Journal of Econometrics 180, 251–264.
Taylor, J. (1993) Discretion versus policy rules in practice. Carnegie-Rochester conference Series on Public Policy 39, 195–214.
Tenreiro, C. (1997) Loi asymptotique des erreurs quadratiques intégrées des estimateurs a noyau de la densité et de la régression sou des conditions de dependance. Portugaliae Mathematica 54, 187–213.
Tong, H. & Lim, K.S. (1980) Threshold autoregression, limit cycles and cyclical data. Journal of Royal Statistical Society, Series B 42, 245–292.
Uhlig, H. (2005) What are the effects of monetary policy on output? results from an agnostic identification procedure. Journal of Monetary Economics 52, 381–419.
Wang, Q., Linton, O., & Hardle, W. (2004) Semiparametric regression analysis with missing response at random. Journal of American Statistical Association 99, 334–345.