Report NEP-ECM-2014-08-20
This is the archive for NEP-ECM, a report on new working papers in the area of Econometrics. Sune Karlsson issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-ECM
The following items were announced in this report:
- James G. MacKinnon, 2014. "Wild Cluster Bootstrap Confidence Intervals," Working Paper 1329, Economics Department, Queen's University.
- Anton Skrobotov, 2014. "A simple modification of the Busetti-Harvey stationarity tests with structural breaks at unknown time," Working Papers 0102, Gaidar Institute for Economic Policy, revised 2014.
- Francisco Javier Eransus & Alfonso Novales Cinca, 2014. "Parameter Estimation Error in Tests of Predictive Performance under Discrete Loss Functions," Documentos de Trabajo del ICAE 2014-22, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Spyridon D. Symeondes & Yiannis Karavias & Elias Tzavalis, 2014. "Size corrected significance tests in Seemingly Unrelated Regressions with autocorrelated errors," Discussion Papers 14/01, University of Nottingham, Granger Centre for Time Series Econometrics.
- van den Berg, Gerard J. & Janys, Lena & Mammen, Enno & Nielsen, Jens P., 2014. "A General Semiparametric Approach to Inference with Marker-Dependent Hazard Rate Models," IZA Discussion Papers 8339, Institute of Labor Economics (IZA).
- Michal Bernard Pietrzak, 2013. "Interpretation of structural parameters for models with spatial autoregression," Working Papers 32/2013, Institute of Economic Research, revised May 2013.
- Item repec:rri:wpaper:201301 is not listed on IDEAS anymore
- Christian Kleiber & Achim Zeileis, 2014. "Visualizing Count Data Regressions Using Rootograms," Working Papers 2014-20, Faculty of Economics and Statistics, Universität Innsbruck.
- Young H. Lee, 2014. "Stochastic Frontier Models Using GAUSS," Working Papers 1403, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).