Endogenous Markups, Firm
Productivity and International Trade:
A Test of the Melitz-Ottaviano Model
Flora Bellone, Patrick Musso, Lionel Nesta (GREDEG-CNRS)
Frederic Warzynski
(Aarhus School of Business)
Motivation
{ Long tradition in IO to estimate markups
{ Within the literature: Hall method (and refinements)
{ Limitations: rather macro literature, estimates average markups within industry
{ Here: try to capture some of the within- industry heterogeneity markup/pricing markup/pricing
behavior
behavior by adding firm-specific and time varying interactive variables
Which firm specific variables?
{ TFP: in most IO models, efficiency differences translate into higher
markups
{ Export intensity: Exporters are different
{ Can pricing differences explain part of it?
Motivation
{ Until recently: no theoretical model was flexible enough to allow markups to be firm-specific
{ Novelty of the Melitz-Ottaviano (MO) model
{ Suggests a few empirical relationships that we test
What Does MO Predict?
{ At the firm-level, the MO model predicts that:
z 1) firm markups are negatively related to domestic market size;
z 2) markups are positively related to firm productivity;
z 3) markups are negatively related to import penetration
z 4) markups are positively related to firm export intensity and markups are higher on the export market than on the domestic ones
{ in the presence of trade barriers
{ and/or if competitors on the export market are less efficient than competitors on the domestic market.
Methodology
{ Use a now standard method to estimate markups, based on Hall
(1986, 1988, 1990) and modified by Roeger (1995)
{ We also use a more recent and
structural methodology based on De Loecker and Warzynski (2008)
Then add a few interactions with the RHS:
Literature
{ Görg and Warzynski (2003): positive link between markups and exporting behavior
{ Konings, Van Cayseele & Warzynski (2005):
export intensity associated with higher markups
{ De Loecker and Warzynski (2008): look at Slovenia and find a similar effect of
exporting
{ Prices: Aw. Batra and Roberts (2001):
export prices lower than domestic prices
Data
{ firm level dataset collected by the French Ministry of Industry (SESSI), the French Manufacturing Census (known as EAE)
{ constructed from a survey providing information on the financial statements and balance sheets of all
manufacturing firms with at least 20 employees
{ covers about 23,000 firms by year over the period from 1990 to 2004
{ represent only 25% of all manufacturing firms in France but account for 75% of employment and 80% of value added in French manufacturing
{ contains information about nominal gross output, a series of inputs (such as number of employees,
intermediates inputs, investments, etc.), and also exports.
Results
{ Strategy:
z First look at the average evolution of the markup
z Second look at evolution of the distribution within sector
z Third try to understand markup
heterogeneity by adding some firm and sector specific interactive variables
Results
{ Our result confirm the theoretical predictions of the MO model:
z Positive relationship with TFP
z Negative relationship with market size
z Positive relationship with exports
z Negative relationship with imports
z Also: countercyclical markups and small post-1992 effect
Conclusion / Future Work (in progress)
{ Most empirical implications of the MO model were confirmed
{ Link between export and markup:
how to explain it?
{ Implications for productivity?