Subcontracting and the Survival of Plants in the Road Construction Industry: A Panel Quantile Regression Analysis

This paper investigates how subcontracting parts of contracted work shapes entrants’ success and survival. We find that newly developed quantile regression approaches can be adapted to study survival of firms competing for government contracts in road construction. The method is applied on a data set that includes patterns of firm entry, exit and auction related information. We find an apparent increase in the business life of firms who subcontract out part of their projects. In Texas, these subcontracting effects appear to be more pronounced for firms with few or no options outside the industry, and among firms who contract out part of their work to Disadvantaged Business Enterprises.

[1]  M. Harding,et al.  QUANTILE REGRESSION ESTIMATION OF PANEL DURATION MODELS WITH CENSORED DATA , 2012 .

[2]  P. Valbonesi,et al.  Firms’ Qualifications and Subcontracting in Public Procurement: An Empirical Investigation , 2015 .

[3]  Z. Ying,et al.  A simple resampling method by perturbing the minimand , 2001 .

[4]  Thomas D. Jeitschko,et al.  Scale Economies and Dynamics of Recurring Auctions , 1998 .

[5]  Justin Marion,et al.  Sourcing from the Enemy: Horizontal Subcontracting in Highway Procurement , 2015 .

[6]  Oliver Kirchkamp,et al.  Outside options: Another reason to choose the first-price auction , 2009 .

[7]  Mark J. Roberts,et al.  Patterns of Firm Entry and Exit in U.S. Manufacturing Industries , 1988 .

[8]  Thomas D. Jeitschko,et al.  Stochastic Synergies in Sequential Auctions , 2005 .

[9]  Yu Cheng,et al.  Quantile Regression for Doubly Censored Data , 2012, Biometrics.

[10]  Shakeeb Khan,et al.  Inference on endogenously censored regression models using conditional moment inequalities , 2009 .

[11]  Daniel P. Miller Subcontracting and competitive bidding on incomplete procurement contracts , 2014 .

[12]  Thomas D. Jeitschko,et al.  Scale Economies and the Dynamics of Recurring Auctions , 1998 .

[13]  J. Baldwin,et al.  Firm Entry and Exit in the Canadian Manufacturing Sector, 1970-1982 , 1991 .

[14]  Markus Frölich,et al.  Unconditional Quantile Treatment Effects Under Endogeneity , 2013 .

[15]  Mark J. Roberts,et al.  Producer Dynamics: New Evidence from Micro Data , 2009 .

[16]  Stephen Portnoy,et al.  Censored Regression Quantiles , 2003 .

[17]  S. Lee ESTIMATING PANEL DATA DURATION MODELS WITH CENSORED DATA , 2003 .

[18]  Limin Peng,et al.  Survival Analysis With Quantile Regression Models , 2008 .

[19]  Ricard Gil,et al.  Self-Enforcing Agreements and Relational Contracting: Evidence from California Highway Procurement , 2013 .

[20]  Jun Nakabayashi Small business set-asides in procurement auctions: An empirical analysis , 2013 .

[21]  J. Powell,et al.  Censored regression quantiles , 1986 .

[22]  Przemyslaw Jeziorski,et al.  Dynamic auction environment with subcontracting , 2016 .

[23]  Disadvantaged business enterprise goals in government procurement contracting: An analysis of bidding behavior and costs ☆ , 2011 .

[24]  R. Koenker Quantile regression for longitudinal data , 2004 .

[25]  Katja Seim Spatial Differentiation and Firm Entry : The Video Retail Industry ∗ , 2001 .

[26]  J. Powell,et al.  Least absolute deviations estimation for the censored regression model , 1984 .

[27]  Michael R. Kosorok,et al.  Robust semiparametric M-estimation and the weighted bootstrap , 2005 .

[28]  Ralf A. Wilke,et al.  Using quantile regression for duration analysis , 2006 .

[29]  Carlos Lamarche,et al.  Estimation of Censored Quantile Regression for Panel Data With Fixed Effects , 2013 .

[30]  Shakeeb Khan,et al.  Partial Rank Estimation of Transformation Models with General forms of Censoring∗ , 2005 .

[31]  N. Fortin,et al.  Unconditional Quantile Regressions , 2007 .

[32]  Mi-Ok Kim,et al.  Semiparametric Approach to a Random Effects Quantile Regression Model , 2011, Journal of the American Statistical Association.

[33]  Elie Tamer,et al.  Partial rank estimation of duration models with general forms of censoring , 2007 .

[34]  A. Cameron,et al.  Microeconometrics: Methods and Applications , 2005 .

[35]  Ronald Peeters,et al.  Sequential auctions with synergies: the paradox of positive synergies , 2006 .

[36]  Tony Lancaster,et al.  The Econometric Analysis of Transition Data. , 1992 .

[37]  Justin Marion,et al.  How Costly Is Affirmative Action? Government Contracting and California's Proposition 209 , 2009, The Review of Economics and Statistics.

[38]  Amanda E. Kowalski,et al.  Quantile Regression with Censoring and Endogeneity , 2011 .

[39]  Bo E. Honoré,et al.  Interdependent Durations , 2008 .

[40]  Constance E. Helfat,et al.  The birth of capabilities: market entry and the importance of pre-history , 2002 .

[41]  Joel L. Horowitz,et al.  Semiparametric Estimation of a Panel Data Proportional Hazards Model with Fixed Effects , 2004 .

[42]  J. Powell,et al.  Censored regression quantiles with endogenous regressors , 2007 .

[43]  Shakeeb Khan,et al.  SEMIPARAMETRIC ESTIMATION OF A PARTIALLY LINEAR CENSORED REGRESSION MODEL , 2001, Econometric Theory.

[44]  Nicola Branzoli,et al.  Entry and Subcontracting in Public Procurement Auctions , 2015, Manag. Sci..

[45]  Georgia Kosmopoulou,et al.  The Impact of Public Information on Bidding in Highway Procurement Auctions , 2007 .