The Mysteries of Trend
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- repec:eee:econom:v:207:y:2018:i:1:p:212-236 is not listed on IDEAS
- Chen, Jia & Gao, Jiti & Li, Degui, 2012.
"Semiparametric trending panel data models with cross-sectional dependence,"
Journal of Econometrics,
Elsevier, vol. 171(1), pages 71-85.
- Jia Chen & Jiti Gao & Degui Li, 2010. "Semiparametric Trending Panel Data Models with Cross-Sectional Dependence," School of Economics Working Papers 2010-10, University of Adelaide, School of Economics.
- Jia Chen & Jiti Gao & Degui Li, 2011. "Semiparametric Trending Panel Data Models with Cross-Sectional Dependence," Monash Econometrics and Business Statistics Working Papers 15/11, Monash University, Department of Econometrics and Business Statistics.
- T. C. Mills & K. D. Patterson, 2015. "Modelling The Trend: The Historical Origins Of Some Modern Methods And Ideas," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 527-548, July.
- Dong, Chaohua & Linton, Oliver, 2018.
"Additive nonparametric models with time variable and both stationary and nonstationary regressors,"
Journal of Econometrics,
Elsevier, vol. 207(1), pages 212-236.
- Chaohua Dong & Oliver Linton, 2017. "Additive nonparametric models with time variable and both stationary and nonstationary regressions," CeMMAP working papers CWP59/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
More about this item
KeywordsClimate change; Etymology of trend; Paleoclimatology; Policy; Stochastic trend;
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ECM-2010-09-25 (Econometrics)
- NEP-ENE-2010-09-25 (Energy Economics)
- NEP-ETS-2010-09-25 (Econometric Time Series)
- NEP-HPE-2010-09-25 (History & Philosophy of Economics)
- NEP-MIC-2010-09-25 (Microeconomics)
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