PARAMETRIC CONDITIONAL MEAN INFERENCE WITH FUNCTIONAL DATA APPLIED TO LIFETIME INCOME CURVES

[1]  Margareta Westberg,et al.  Combining independent statistical tests , 1985 .

[2]  T. Magnac,et al.  Post-Schooling Human Capital Investments and the Life Cycle of Earnings , 2018, Journal of Political Economy.

[3]  Yuedong Wang,et al.  Smoothing Splines: Methods and Applications , 2011 .

[4]  David Pollard,et al.  The minimum distance method of testing , 1980 .

[5]  Petra E. Todd,et al.  Earnings Functions, Rates of Return and Treatment Effects: The Mincer Equation and Beyond , 2005, SSRN Electronic Journal.

[6]  H. Müller,et al.  Functional data analysis for volatility , 2011 .

[7]  Siegfried Hörmann,et al.  Testing for periodicity in functional time series , 2018, The Annals of Statistics.

[8]  R. Fisher.  Statistical methods for research workers , 1927, Protoplasma.

[9]  Xiaohong Chen.  Chapter 76 Large Sample Sieve Estimation of Semi-Nonparametric Models , 2007 .

[10]  Takeshi Amemiya,et al.  The Estimation of a Simultaneous-Equation Tobit Model , 1979 .

[11]  Joel L. Horowitz,et al.  Goodness-of-Fit Tests for Functional Data , 2009 .

[12]  E. S. Pearson,et al.  On questions raised by the combination of tests based on discontinuous distributions. , 1950, Biometrika.

[13]  B. Everitt,et al.  Finite Mixture Distributions , 1981 .

[14]  R. Rao.  Relations between Weak and Uniform Convergence of Measures with Applications , 1962 .

[15]  Xiaohong Chen,et al.  Estimation and model selection of semiparametric copula-based multivariate dynamic models under copula misspecification , 2006 .

[16]  Fatih Guvenen,et al.  Learning Your Earning: Are Labor Income Shocks Really Very Persistent? , 2007 .

[17]  Jin Seo Cho,et al.  Testing for Regime Switching , 2007 .

[18]  Peter Schlattmann,et al.  Medical Applications of Finite Mixture Models , 2009 .

[19]  A. Betzer,et al.  Dividend policy of German firms: A panel data analysis of partial adjustment models , 2009 .

[20]  Michael B. Marcus,et al.  Central limit theorems for C(S)-valued random variables , 1975 .

[21]  H. O. Lancaster.  THE COMBINATION OF PROBABILITIES: AN APPLICATION OF ORTHONORMAL FUNCTIONS , 1961 .

[22]  Lung-fei Lee,et al.  Asymptotic Covariance Matrices of Two-Stage Probit and Two-Stage Tobit Methods for Simultaneous Equations Models with Selectivity , 1980 .

[23]  Boyan Jovanovic,et al.  Labor Mobility and Wages , 1979 .

[24]  Eric S. Lander,et al.  Asymptotic distribution of the likelihood ratio test that a mixture of two binomials is a single binomial , 1995 .

[25]  S. Greven,et al.  Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains , 2015, 1509.02029.

[26]  Gareth M. James,et al.  Functional linear regression that's interpretable , 2009, 0908.2918.

[27]  P. Vieu,et al.  Nonparametric Functional Data Analysis: Theory and Practice (Springer Series in Statistics) , 2006 .

[28]  T. Breurch,et al.  A simple test for heteroscedasticity and random coefficient variation (econometrica vol 47 , 1979 .

[29]  K. Liang,et al.  Hypothesis Testing Under Mixture Models: Application to Genetic Linkage Analysis , 1999, Biometrics.

[30]  H. Muller,et al.  Functional data analysis for density functions by transformation to a Hilbert space , 2016, 1601.02869.

[31]  Jin Seo Cho,et al.  Testing for unobserved heterogeneity in exponential and Weibull duration models , 2010 .

[32]  B. Silverman,et al.  Estimating the mean and covariance structure nonparametrically when the data are curves , 1991 .

[33]  E. Fama,et al.  Dividend Policy: An Empirical Analysis , 1968 .

[34]  H. Joe.  Multivariate Models and Multivariate Dependence Concepts , 1997 .

[35]  Dimitris Karlis,et al.  Model-based clustering using copulas with applications , 2014, Statistics and Computing.

[36]  D. Dijk,et al.  Out-of-Sample Comparison of Copula Specifications in Multivariate Density Forecasts , 2008 .

[37]  J. Lintner.  DISTRIBUTION OF INCOMES OF CORPORATIONS AMONG DIVIDENDS, RETAINED EARNINGS AND TAXES , 1956 .

[38]  J. Ramsay,et al.  Some Tools for Functional Data Analysis , 1991 .

[39]  M. Smith,et al.  Time series copulas for heteroskedastic data , 2017, 1701.07152.

[40]  James O. Ramsay,et al.  Applied Functional Data Analysis: Methods and Case Studies , 2002 .

[41]  A. Wald.  Tests of statistical hypotheses concerning several parameters when the number of observations is large , 1943 .

[42]  J. Doob.  Stochastic processes , 1953 .

[43]  B. Efron.  Bootstrap Methods: Another Look at the Jackknife , 1979 .

[44]  Jin-Ting Zhang,et al.  Statistical inferences for functional data , 2007, 0708.2207.

[45]  Prem S. Puri,et al.  On Optimal Asymptotic Tests of Composite Statistical Hypotheses , 1967 .

[46]  Ali Gannoun,et al.  Support vector machine quantile regression approach for functional data: Simulation and application studies , 2013, J. Multivar. Anal..

[47]  Pascal Sarda,et al.  Smoothing splines estimators in functional linear regression with errors-in-variables , 2007, Comput. Stat. Data Anal..

[48]  T. Lemieux.  The “Mincer Equation” Thirty Years After Schooling, Experience, and Earnings , 2006 .

[49]  Arjun K. Gupta,et al.  A Moment-Based Test for Homogeneity in Finite Mixture Models , 2009 .

[50]  James C. Davis,et al.  Augmenting the Human Capital Earnings Equation with Measures of Where People Work , 2016, Journal of Labor Economics.

[51]  Paul Embrechts,et al.  Dynamic copula models for multivariate high-frequency data in finance , 2004 .

[52]  Fatih Guvenen,et al.  An Empirical Investigation of Labor Income Processes , 2007 .

[53]  P. Paruolo,et al.  COINTEGRATION IN FUNCTIONAL AUTOREGRESSIVE PROCESSES , 2017, Econometric Theory.

[54]  Geoffrey J. McLachlan,et al.  Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.

[55]  Y. Kutoyants,et al.  Parameter estimation for stochastic processes , 1984 .

[56]  Pengfei Li,et al.  Modified likelihood ratio test for homogeneity in a mixture of von Mises distributions , 2008 .

[57]  Juwon Seo,et al.  Cointegrated Linear Processes in Hilbert Space , 2017 .

[58]  J. Wellner,et al.  Empirical Processes with Applications to Statistics , 2009 .

[59]  Shuling Guo Malloy.  Nonparametric regression analysis , 2015 .

[60]  W. Newey,et al.  Large sample estimation and hypothesis testing , 1986 .

[61]  Herman J. Bierens,et al.  A consistent conditional moment test of functional form , 1990 .

[62]  P. Billingsley,et al.  Convergence of Probability Measures , 1970, The Mathematical Gazette.

[63]  R. Davies.  Hypothesis testing when a nuisance parameter is present only under the alternative , 1977 .

[64]  W. R. van Zwet,et al.  On the Combination of Independent Test Statistics , 1967 .

[65]  David M. Zimmer,et al.  The Role of Copulas in the Housing Crisis , 2012, Review of Economics and Statistics.

[66]  J. Stock,et al.  Median unbiased estimation of coefficient variance in a time-varying parameter model , 1998 .

[67]  Lawrence F. Katz,et al.  Computing Inequality: Have Computers Changed the Labor Market? , 1997 .

[68]  Wai Keung Li,et al.  Test for homogeneity in gamma mixture models using likelihood ratio , 2014, Comput. Stat. Data Anal..

[69]  Maxwell B. Stinchcombe,et al.  CONSISTENT SPECIFICATION TESTING WITH NUISANCE PARAMETERS PRESENT ONLY UNDER THE ALTERNATIVE , 1998, Econometric Theory.

[70]  Ling Hu.  Dependence patterns across financial markets: a mixed copula approach , 2006 .

[71]  H. Joe.  Dependence Modeling with Copulas , 2014 .

[72]  Matthew Wiswall,et al.  Preference for the Workplace, Investment in Human Capital, and Gender , 2016, The quarterly journal of economics.

[73]  R. Davies.  Hypothesis Testing when a Nuisance Parameter is Present Only Under the Alternatives , 1987 .

[74]  Jeffrey M. Wooldridge,et al.  Solutions Manual and Supplementary Materials for Econometric Analysis of Cross Section and Panel Data , 2003 .

[75]  Jiahua Chen,et al.  Hypothesis test for normal mixture models: The EM approach , 2009, 0908.3428.

[76]  P. Phillips,et al.  Pythagorean generalization of testing the equality of two symmetric positive definite matrices , 2018 .

[77]  Robert C. Merton,et al.  Dividend Behavior for the Aggregate Stock Market , 2015 .

[78]  Herman J. Bierens,et al.  Asymptotic Theory of Integrated Conditional Moment Tests , 1997 .

[79]  Donald W. K. Andrews,et al.  Empirical Process Methods in Econometrics , 1993 .

[80]  R. Nelsen.  An Introduction to Copulas , 1998 .

[81]  J. Mincer.  Investment in Human Capital and Personal Income Distribution , 1958, Journal of Political Economy.

[82]  P. Phillips,et al.  Practical Kolmogorov–Smirnov Testing by Minimum Distance Applied to Measure Top Income Shares in Korea , 2018 .

[83]  H. Joe.  Multivariate models and dependence concepts , 1998 .

[84]  Lijian Yang,et al.  Simultaneous inference for the mean function based on dense functional data , 2012, Journal of nonparametric statistics.

[85]  Maxwell B. Stinchcombe,et al.  Some Measurability Results for Extrema of Random Functions Over Random Sets , 1992 .

[86]  Chang Sik Kim,et al.  Nonstationarity in time series of state densities , 2016 .

[87]  Q. Vuong.  Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses , 1989 .

[88]  M. Ureta,et al.  Early-Career Work Experience and Gender Wage Differentials , 1995, Journal of Labor Economics.

[89]  Leif D. Nelson,et al.  P-Curve: A Key to the File Drawer , 2013, Journal of experimental psychology. General.

[90]  R. Priestley,et al.  Dividend Behaviour and Dividend Signaling , 2000, Journal of Financial and Quantitative Analysis.

[91]  Han Lin Shang,et al.  Long-Range Dependent Curve Time Series , 2020, Journal of the American Statistical Association.

[92]  Jiayang Sun,et al.  Testing homogeneity in discrete mixtures , 2008 .

[93]  Peter J. Bickel,et al.  Convergence Criteria for Multiparameter Stochastic Processes and Some Applications , 1971 .

[94]  Cathy W. S. Chen,et al.  Optimal Dynamic Hedging via Copula-Threshold-GARCH Models , 2009, Math. Comput. Simul..

[95]  An Overlapping Generations Model of Wage Determination , 1990 .

[96]  Jihyun Kim,et al.  Asymptotics for recurrent diffusions with application to high frequency regression , 2017 .

[97]  T. Tony Cai,et al.  Prediction in functional linear regression , 2006 .

[98]  D. Bosq.  Linear Processes in Function Spaces: Theory And Applications , 2000 .

[99]  Bruce E. Hansen,et al.  Inference When a Nuisance Parameter Is Not Identified under the Null Hypothesis , 1996 .

[100]  P. Phillips,et al.  Testing Linearity Using Power Transforms of Regressors , 2013 .

[101]  D. Andrews.  Testing When a Parameter Is on the Boundary of the Maintained Hypothesis , 2001 .

[102]  Pengfei Li,et al.  Testing homogeneity in a multivariate mixture model , 2011 .

[103]  Joel L. Horowitz,et al.  Methodology and convergence rates for functional linear regression , 2007, 0708.0466.

[104]  J. Kalbfleisch,et al.  A modified likelihood ratio test for homogeneity in finite mixture models , 2001 .

[105]  Jon A. Wellner,et al.  Weak Convergence and Empirical Processes: With Applications to Statistics , 1996 .

[106]  Robert F. Engle,et al.  Advances in Econometrics: The Kalman filter: applications to forecasting and rational-expectations models , 1987 .

[107]  Cheng Hsiao,et al.  Statistical Inference for a Model with Both Random Cross-Sectional and Time Effects , 1974 .

[108]  Xiaohong Chen,et al.  Efficient Estimation of Models with Conditional Moment Restrictions Containing Unknown Functions , 2003 .

[109]  H. Joe,et al.  The Estimation Method of Inference Functions for Margins for Multivariate Models , 1996 .

[110]  P. Phillips,et al.  Sequentially Testing Polynomial Model Hypotheses Using Power Transforms of Regressors , 2016 .