Dataset Design and Estimation Methods

The phenomenon under investigation guides the data collection process, the structural design of the dataset as well as the choice of empirical methods (Blossfeld et al. 2007, p. 4). The data collection process for the German laser industry database was described above. Now, we will turn our attention to the two latter points. Chapter 6 is divided into two sections: Section 6.1 presents the two compiled datasets. On the one hand, an event history dataset was constructed to analyze the propensity and timing of laser source manufacturers to cooperate and enter the German laser industry innovation network. On the other hand, a panel dataset was employed to analyze the determinants of firms in the German laser industry from various angles. Section 6.2 provides an overview and general discussion of estimation methods which were applied in Part IV of this book. We start with a brief discussion on non-parametric event history analysis models using continuous time, followed by an introduction of econometric models for panel count data.

[1]  Pravin K. Trivedi,et al.  Microeconometrics Using Stata , 2009 .

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

[3]  A. Cameron,et al.  Econometric models based on count data. Comparisons and applications of some estimators and tests , 1986 .

[4]  Peter E. Kennedy.  A Guide to Econometrics , 1979 .

[5]  E. Kaplan,et al.  Nonparametric Estimation from Incomplete Observations , 1958 .

[6]  Paul D. Allison,et al.  Event History Analysis : Regression for Longitudinal Event Data , 1984 .

[7]  A. Cameron,et al.  Regression-based tests for overdispersion in the Poisson model☆ , 1990 .

[8]  Mario Cleves,et al.  An Introduction To Survival Analysis Using Stata Third | , 2012 .

[9]  G. Box.  Robustness in the Strategy of Scientific Model Building. , 1979 .

[10]  Wolfgang Leininger,et al.  On price characterization and pareto-efficiency of game equilibrium growth , 1986 .

[11]  J. Hausman.  Specification tests in econometrics , 1978 .

[12]  S. Morgenthaler.  Robustness in Statistics , 2001 .

[13]  Michele Cincera.  Patents, R&D, and technological spillovers at the firm level: Some evidence from econometric count models for panel data , 1997 .

[14]  R. Winkelmann.  Econometric Analysis of Count Data , 1997 .

[15]  Z. Griliches,et al.  Econometric Models for Count Data with an Application to the Patents-R&D Relationship , 1984 .

[16]  KyungMann Kim,et al.  Contrasting treatment‐specific survival using double‐robust estimators , 2012 .