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Table of contents
1 General introduction
1.1 Motivation
1.2 Overview of the thesis
1.2.1 Chapter 2: Productivity dynamics and exports of the french woodworking industry
1.2.2 Chapter 3: Productivity, markups, entry, and exit: evidence from French manufacturing firms
1.2.3 Chapter 4: Cournot equilibrium and heterogenous firms
1.2.4 Chapter 5: Nonparametric instrumental regression with additive fixed effects
2 Productivity dynamics and exports in the French woodworking industry
2.1 Introduction
2.2 Literature review
2.2.1 Productivity and resource allocation
2.2.2 Productivity and international trade
2.2.3 Studies with focus on France and/or the woodworking industry
2.3 Empirical framework
2.3.1 Production function estimation
2.3.2 Aggregate productivity growth, firm entry and exit, and export status
2.4 Data and variables
2.4.1 Production function and export variables
2.4.2 Definition of firm entry and exit
2.5 Descriptive statistics
2.6 Empirical results of structural stability and productivity distribution
2.7 Empirical results of aggregate productivity dynamics
2.7.1 Aggregate productivity with market entry and exit
2.7.2 Aggregate productivity and export status
2.7.3 Aggregate productivity and domestic and export activity
2.8 Conclusion
2.9 Appendix A: Data
2.9.1 Merging of the data sets FICUS and FARE
2.9.2 Data cleaning
2.10 Appendix B: Descriptive statistics
2.10.1 Share of the French woodworking industry w.r.t. the overall manufacturing industry
2.10.2 Evolution of value added, inputs, and exports by 4-digit sectors
2.11 Appendix C: Production function estimation
2.11.1 Chunk code
2.11.2 Production function estimates
2.11.3 Distribution of the production function residual
2.12 Appendix D: Productivity distribution and dispersion by 4-digit sector
2.13 Appendix E: Productivity decomposition
2.13.1 Annual aggregate productivity with entry and exit
2.13.2 Aggregate productivity and entry and exit w.r.t. 4-digit sectors
2.13.3 Aggregate productivity and firms’ export behavior
3 Productivity, markups, entry, and exit: evidence from French manufacturing firms from 1994 to 2016
3.1 Introduction
3.2 Related literature
3.2.1 Productivity
3.2.2 Markups
3.3 Theoretical background
3.4 Empirical framework
3.4.1 Production function estimation
3.4.2 Firm-level markups
3.4.3 Discussion
3.5 Data and descriptive statistics
3.5.1 Data
3.5.2 Descriptive statistics
3.6 Decomposing aggregate productivity and markups with entry and exit
3.6.1 Decomposition approach
3.6.2 Empirical decomposition of aggregate productivity
3.6.3 Empirical decomposition of aggregate markups
3.7 Heterogeneity in aggregate productivity and markup across sectors
3.8 Distribution and convergence patterns of productivity and markups
3.8.1 Distribution over time of productivity and markups
3.8.2 Convergence patterns of productivity and markups
3.9 Relation between markups, productivity, firm entry and exit
3.10 Conclusion
3.11 Appendix A: Data
3.11.1 Descriptive statistics
3.11.2 Measuring firm entry and exit at a yearly basis
3.12 Appendix B: Translog production function estimation
3.13 Appendix C: Decomposition analysis
3.13.1 Derivation of the DOPD approach
3.13.2 Decomposition tables for both aggregate productivity and markups
3.14 Appendix D: Robustness checks
3.14.1 Production function specification
3.14.2 Aggregate productivity
3.14.3 Aggregate markups
3.15 Appendix E: Further material
4 Cournot equilibrium and welfare with heterogeneous firms
4.1 Introduction
4.2 Short-run Cournot equilibrium with heterogeneous quadratic cost functions
4.3 The long-run Cournot equilibrium
4.4 The welfare consequences of entry and exit at LRCE
4.5 Data and descriptive statistics
4.6 Inverse output demand estimates
4.7 Cost function estimation with heterogeneity in fixed and variable costs
4.7.1 Empirical specification
4.7.2 Identification
4.7.3 Estimation results
4.8 Conclusion
4.9 Appendix A: Proof of the propositions
4.10 Appendix B: Further information on the data and descriptive statistics
4.10.1 Data cleaning
4.10.2 Further descriptive statistics
4.11 Appendix C: Reparameterization of the cost function
5 On nonparametric instrumental regression with additive fixed effects
5.1 Introduction
5.2 Related estimation methods
5.2.1 Fève and Florens (2014)’s estimator: instrumental regression with FE
5.2.2 Lee et al. (2019)’s estimator: FE only
5.3 Another estimation procedure for instrumental regression with FE
5.3.1 Setup of the estimator
5.3.2 Estimation and implementation
5.3.3 Discussion
5.4 Simulation and finite sample behavior
5.4.1 Data Generating Process (DGP)
5.4.2 Estimation results
5.4.3 Finite sample behavior
5.5 Application to the estimation of the inverse demand function
5.5.1 Inverse demand specification
5.5.2 Data
5.5.3 Estimation results of the inverse demand function
5.6 Conclusion
5.7 Appendix A: Bandwidth selection via leave-one-out cross-validation
5.8 Appendix B: Estimation of the inverse demand
6 Conclusion
6.1 Summary of the dissertation
6.2 Limitations and extensions
6.2.1 Estimating firm-level productivity
6.2.2 Measuring market entry and exit
6.2.3 Modeling firm competition à la Cournot
6.2.4 Nonparametric estimation with endogenous variables
