Lamarche, Carlos E

Owned by UKY CCS RCD
Jun 09, 2024


Summary of Group Activities

I have been using the cluster for less than a year because I am a new faculty member. I am expecting to increase the usage this academic year (2013-2014).

I am a new faculty member in Economics and I am transitioning to the DLX cluster. In the last years, I have been using supercomputers at the University of Illinois and the University of Oklahoma.

I plan to start using the cluster on all the projects listed below as early as Fall 2013.

List of projects, use, etc


I am currently working on the projects listed below. It is very likely that I will use the cluster in first six projects, although I cannot determine precisely which one and exactly when I am going to work on them. I expect to use the cluster in the other project too.

  • Penalized Quantile Regression Estimator for a Model with Endogenous Individual Effects (with M. Harding (Stanford University)
  • Penalized Forecasting in Panel Data Models: Predicting Household Electricity Demand from Smart Meter Data (with M. Harding (Stanford University)
  • Latent Structure and Quantiles of the Treatment Effect Distribution (with E. Battistin and E. Rettore (University of Padova, Italy)
  • A Quantile Regression Analysis of the Survival of Entrants Firms in the Road Construction Industry (with G. Kosmopoulou (University of Oklahoma) and D. De Silva (Lancaster University, England)
  • A Panel Data Quantile Regression Analysis of the Immigrant Earnings Distribution in the United Kingdom and United States
  • Panel Quantile Regression
  • Industry-Wide Work Rules and Productivity: Evidence from Argentine Union Contract Data
  • Price Adjustment Policies and Firm Size: An Empirical Analysis of Bidding and Survival in the Market (with G. Kosmopoulou University of Oklahoma)
  • Strategic Bidding and Contract Renegotiation (with G. Kosmopoulou University of Oklahoma)


Software

R

Publications

2013

  1. Lamarche, C., 2013. Industry-Wide Work Rules and Productivity: Evidence from Argentine Union Contract Data. IZA Journal of Labor & Development 2013, 2:11
  2. Galvao, A., C. Lamarche, and L. R. Lima, 2013. Estimation of Censored Quantile Regression for Panel Data with Fixed Effects. Journal of the American Statistical Association 108, pp. 1075-1089


2012

  1. Harding, M., and C. Lamarche, 2012. Quantile Regression Estimation of Panel Duration Models with Censored Data. Advances in Econometrics: Essays in Honor of Jerry Hausman 29, pp. 243-273
  2. De Silva, D., G. Kosmopoulou, and C. Lamarche, 2012. Survival of Contractors with Previous Subcontracting Experience. Economics Letters 117, pp. 7-9.
  3. De Silva, D., T. Dunne, G. Kosmopoulou, and C. Lamarche, 2012. Disadvantage Business Goals in Government Procurement Contracting: An Analysis of Bidding Behavior and Costs. Federal Reserve Bank of Cleveland, Working Paper 11/02. International Journal of Industrial Organization 30, 377-388


2011

  1. Lamarche, C., 2011. Measuring the Incentives to Learn in Colombia Using New Quantile Regression Approaches. Journal of Development Economics 96, pp. 278-288.
  2. Harding, M., and C. Lamarche, 2011. Least Squares Estimation of a Panel Data Model with Multifactor Error Structure and Endogenous Covariates. Economics Letters 111, 197-199.
  3. Alexander, M., M. Harding, and C. Lamarche, 2011. Quantile Regression for Time-Series-Cross-Section Data. International Journal of Statistics and Management System 6, pp. 47-72.


2010

Lamarche, C., 2010. Robust Penalized Quantile Regression Estimation for Panel Data. Journal of Econometrics 157, pp. 396-408

Center for Computational Sciences