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Impact of Superfast Broadband on Local
Economic Growth
Empirical Evidence Using a Matching Estimator
Maude Hasbi
FSR C&M Scientiļ¬c Seminar
March 24th, 2017
Hasbi Impact of Superfast Broadband on Local Economic Growth
Motivation
Superfast broadband is seen as a key enabler for
socio-economic development.
Many countries have adopted a national broadband plan to
ensure the whole coverage of their territory.
The US, Australia, Japan, France...
We observe a rapid penetration of superfast broadband in
urban area.
Hasbi Impact of Superfast Broadband on Local Economic Growth
Impact of superfast broadband on local economic growth
Using data on more than 36,000 municipalities over 5 years
(2010-2014), I estimate whether superfast broadband
networks have an impact on local economic growth:
Number of companies
Number of new companiess
3 main types of non-farm market sectors
Individually owned companies
I use nearest neighbor matching estimator
First step: panel data analyses with ļ¬xed eļ¬€ects
Robustness checks: diļ¬€erence-in-diļ¬€erences methods
Hasbi Impact of Superfast Broadband on Local Economic Growth
Literature review
Large number of macro-level studies bring empirical evidence
on the positive impact of broadband adoption on economic
growth.
Gruber et al. 2014: Economic beneļ¬ts are only marginally
appropriable by ļ¬rms, they mostly spill over to users.
Limited empirical evidence of the eļ¬€ect of broadband on
economic growth at the local level:
Mostly studies concentrate on the impact of broadband on
employment (Czernich (2014), Whitacre et al. (2014))
As far as ļ¬rms are concerned, literature focuses on broadband
impacts on productivity and ļ¬rm performance (Akerman et al.
(2015), Bertschek et al. (2013))
McCoy et al. (2016) highlights the existence of a positive
impact on new business establishment.
Studies focus on the impact of old generation broadband
technologies and are realized at a more aggregated local level.
Hasbi Impact of Superfast Broadband on Local Economic Growth
Propensity score matching techniques
Propensity score matching are non-parametric estimators used
to estimate average treatment eļ¬€ect.
Yit+1(1), (Yit+1(0)) denotes an outcome which is realized in
time t + 1 if municipality i receives (doesnā€™t receive) at time t
a treatment dit = 1 (dit = 0)
ATT = E(Yit+1(1) | dit = 1) āˆ’ E(Yit+1(0) | dit = 1) (1)
First term: expected value of Y, in time t + 1, in municipalities
in which a treatment has been received in time t, which is
observable;
Second term: Expected value of the Y, in time t + 1, for the
control group, had a treatment been received in time t, which
is NOT observable.
Hasbi Impact of Superfast Broadband on Local Economic Growth
Propensity score matching techniques: Assumptions
Treatment distribution may suļ¬€er from a selection bias.
Matching estimators seek to reproduce the treatment group
among the non-treated group using observable characteristics.
The key component in the modeling is to determine the
relevant set of matches.
Yit+1(1), Yit+1(0) āŠ„ dit | X (2)
Propensity score techniques represents the conditional
probability of receiving a treatment given pretreatment
characteristics.
Based on an overlap assumption.
0 < Pr(dit = 1 | Xit) < 1 (3)
Hasbi Impact of Superfast Broadband on Local Economic Growth
Propensity score matching techniques: Application
I assess whether superfast broadband networks have a causal
eļ¬€ect on the number of companies operating locally and the
creation of new businesses.
Paris, Lyon and Marseilles are excluded.
Keep municipalities with at least 2,000 inhabitants to deļ¬ne
relevant control groups
Unlikely to have a superfast broadband by private operators in
smaller municipalities
Treatment: superfastbbit = 1 if a superfast broadband
network has been deployed.
To control for potential issues of reverse causality, I use lag
variables.
Hasbi Impact of Superfast Broadband on Local Economic Growth
Relevant set of matches: panel data with ļ¬xed eļ¬€ects
company ind construc comm adm new company new ind new construc new comm adm
superfast bb 0.0325*** 0.0136** 0.0476*** 0.0271*** 0.0252*** -0.0059 0.0117 0.0256**
(0.006) (0.006) (0.006) (0.006) (0.009) (0.018) (0.019) (0.010)
income 0.0029** 0.0005 -0.0018 0.0038*** 0.0052*** 0.0059 0.0169*** 0.0035*
(0.001) (0.001) (0.001) (0.001) (0.002) (0.004) (0.004) (0.002)
estab commserv % 0.0002 -0.0015*** -0.0016*** 0.0008*** 0.0001 0.0033*** 0.0062*** -0.0022***
(0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000)
unemployment -0.0017 0.0017 0.0018 -0.0028** -0.0025 -0.0036 0.0041 -0.0039*
(0.001) (0.001) (0.001) (0.001) (0.002) (0.004) (0.004) (0.002)
density 0.1876*** 0.1747*** 0.3656*** 0.1563*** 0.1770*** 0.3365** 0.3212** 0.1438*
(0.048) (0.047) (0.044) (0.046) (0.067) (0.142) (0.147) (0.077)
households 0.2966*** 0.3848*** 0.1701*** 0.3396*** 0.2030*** 0.2041* -0.0899 0.2491***
(0.036) (0.036) (0.033) (0.035) (0.051) (0.108) (0.111) (0.059)
y2011 0.0205*** 0.0150*** 0.0154*** 0.0226*** 0.0036 0.0268*** 0.0197** 0.0019
(0.003) (0.003) (0.003) (0.003) (0.005) (0.010) (0.010) (0.005)
y2012 0.0392*** 0.0088** 0.0353*** 0.0438*** -0.0280*** 0.0149 -0.0512*** -0.0258***
(0.004) (0.004) (0.003) (0.004) (0.005) (0.011) (0.012) (0.006)
y2013 0.0846*** 0.0340*** 0.0830*** 0.0921*** -0.0216*** 0.0451*** -0.0944*** -0.0111
(0.005) (0.005) (0.004) (0.005) (0.007) (0.014) (0.015) (0.008)
y2014 0.1406*** 0.0776*** 0.1395*** 0.1551*** -0.1013*** -0.0361** -0.2184*** -0.0872***
(0.006) (0.006) (0.005) (0.005) (0.008) (0.017) (0.018) (0.009)
Constant 5.0320*** 2.5535*** 3.2800*** 4.6915*** 3.1519*** -0.0700 0.5269*** 3.1163***
(0.055) (0.054) (0.050) (0.052) (0.077) (0.163) (0.168) (0.089)
Observations 24,663 24,663 24,663 24,663 24,663 24,663 24,663 24,663
R-squared 0.156 0.102 0.207 0.187 0.025 0.012 0.059 0.012
Nb municipalities 4,933 4,933 4,933 4,933 4,933 4,933 4,933 4,933
Standard errors in parentheses: *** p < 0.01, ** p < 0.05, * p < 0.1
Hasbi Impact of Superfast Broadband on Local Economic Growth
Relevant set of matches
establishmentit+1 : (establishmentitāˆ’1), (perc estab commservit),
log householdsitāˆ’2, densityitāˆ’2 unemplitāˆ’2, incomeitāˆ’3, year
(perc uni diplomaitāˆ’2), (socio professional groupsitāˆ’2).
(4)
new establishmentit+1 : (establishmentitāˆ’1), (perc estab commservit),
log householdsitāˆ’2, densityitāˆ’2 unemplitāˆ’2, incomeitāˆ’3, year
(perc uni diplomaitāˆ’2), (socio professional groupsitāˆ’2).
(5)
company ind construc comm adm new company new ind new construc new comm adm
superfast bb 0.0389** 0.0417** 0.0156 0.0376** 0.0489** 0.0738** 0.0270 0.0473**
(0.018) (0.021) (0.022) (0.018) (0.020) (0.035) (0.028) (0.019)
Observations 24,663 24,663 24,663 24,663 24,663 24,663 24,663 24,663
Standard errors in parentheses: *** p < 0.01, ** p < 0.05, * p < 0.1
Hasbi Impact of Superfast Broadband on Local Economic Growth
Robustness checks
Comparison with ļ¬rst stage: panel data analyses with ļ¬xed
eļ¬€ects
Use diļ¬€erence-in-diļ¬€erence methods (double diļ¬€erence
between two groups and two time periods)
Deployments happen within 5 years, but very few deployment
before 2013
Try diļ¬€erent speciļ¬cations (several diļ¬€-in-diļ¬€)
Only signiļ¬cant when time is set in 2012 and 2013 for all
deployments
Similar results for both speciļ¬cations
Hasbi Impact of Superfast Broadband on Local Economic Growth
Impact of superfast broadband
Table: Sum up of eļ¬€ects
ATT diļ¬€ 2012 diļ¬€ 2013 Panal FE
company 3.9% 4.4% 4% 3.3%
industry 4.2% 2.6% 2.1% 1.4%
construction X 6.8% 6.9% 5.8%
comm adm 3.8% 3.7% 3.1% 2.7%
new company 4.% 4.3% 4.3% 2.5%
n industry 7.4% 2.9% X X
n construction X 4.8% 5.1% X
n commadm 4.7% 4% 3.8% 2.6%
n individual comp 3.4% 3.2% 3.2% 2%
n estab comm serv 4.2% 4.1% 4.4% 6%
n estab serv hh X X X X
n estab serv comp 5.9% X X X
X: insigniļ¬cant
Hasbi Impact of Superfast Broadband on Local Economic Growth
Impact of superfast broadband
Positive average eļ¬€ect of superfast broadband on the number
of establishments locally (average +4%)
Especially in the construction (average +6%) and tertiary
sectors (average +3%)
Positive average eļ¬€ect of superfast broadband on
establishments creation (average +3%)
Positive average eļ¬€ect on the number of establishment
creation in the construction sector (average +5%)
Mixed average eļ¬€ect on the number of establishment creation
in the industrial sector (average +3% / +7 %)
Positive average eļ¬€ect on the number of establishment
creation in the tertiary sector (average +3%)
Hasbi Impact of Superfast Broadband on Local Economic Growth
Impact of superfast broadband
Possible to disaggregate further the tertiary sector for new
establishments:
Higher positive impact for new establishments operating in the
commerce and service sector (average +4% +6%)
Not signiļ¬cant for new establishments dedicated to households
services
As regards establishments dedicated to company services, only
signiļ¬cant for ATT (average +6%)
Positive impact of the creation of individually owned
businesses (average +4%)
Hasbi Impact of Superfast Broadband on Local Economic Growth
Thanks a lot
Any questions?
FSR C&M Scientiļ¬c Seminar
March 24th, 2017
Hasbi Thanks a lot

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Hasbi scientific seminar 2017

  • 1. Impact of Superfast Broadband on Local Economic Growth Empirical Evidence Using a Matching Estimator Maude Hasbi FSR C&M Scientiļ¬c Seminar March 24th, 2017 Hasbi Impact of Superfast Broadband on Local Economic Growth
  • 2. Motivation Superfast broadband is seen as a key enabler for socio-economic development. Many countries have adopted a national broadband plan to ensure the whole coverage of their territory. The US, Australia, Japan, France... We observe a rapid penetration of superfast broadband in urban area. Hasbi Impact of Superfast Broadband on Local Economic Growth
  • 3. Impact of superfast broadband on local economic growth Using data on more than 36,000 municipalities over 5 years (2010-2014), I estimate whether superfast broadband networks have an impact on local economic growth: Number of companies Number of new companiess 3 main types of non-farm market sectors Individually owned companies I use nearest neighbor matching estimator First step: panel data analyses with ļ¬xed eļ¬€ects Robustness checks: diļ¬€erence-in-diļ¬€erences methods Hasbi Impact of Superfast Broadband on Local Economic Growth
  • 4. Literature review Large number of macro-level studies bring empirical evidence on the positive impact of broadband adoption on economic growth. Gruber et al. 2014: Economic beneļ¬ts are only marginally appropriable by ļ¬rms, they mostly spill over to users. Limited empirical evidence of the eļ¬€ect of broadband on economic growth at the local level: Mostly studies concentrate on the impact of broadband on employment (Czernich (2014), Whitacre et al. (2014)) As far as ļ¬rms are concerned, literature focuses on broadband impacts on productivity and ļ¬rm performance (Akerman et al. (2015), Bertschek et al. (2013)) McCoy et al. (2016) highlights the existence of a positive impact on new business establishment. Studies focus on the impact of old generation broadband technologies and are realized at a more aggregated local level. Hasbi Impact of Superfast Broadband on Local Economic Growth
  • 5. Propensity score matching techniques Propensity score matching are non-parametric estimators used to estimate average treatment eļ¬€ect. Yit+1(1), (Yit+1(0)) denotes an outcome which is realized in time t + 1 if municipality i receives (doesnā€™t receive) at time t a treatment dit = 1 (dit = 0) ATT = E(Yit+1(1) | dit = 1) āˆ’ E(Yit+1(0) | dit = 1) (1) First term: expected value of Y, in time t + 1, in municipalities in which a treatment has been received in time t, which is observable; Second term: Expected value of the Y, in time t + 1, for the control group, had a treatment been received in time t, which is NOT observable. Hasbi Impact of Superfast Broadband on Local Economic Growth
  • 6. Propensity score matching techniques: Assumptions Treatment distribution may suļ¬€er from a selection bias. Matching estimators seek to reproduce the treatment group among the non-treated group using observable characteristics. The key component in the modeling is to determine the relevant set of matches. Yit+1(1), Yit+1(0) āŠ„ dit | X (2) Propensity score techniques represents the conditional probability of receiving a treatment given pretreatment characteristics. Based on an overlap assumption. 0 < Pr(dit = 1 | Xit) < 1 (3) Hasbi Impact of Superfast Broadband on Local Economic Growth
  • 7. Propensity score matching techniques: Application I assess whether superfast broadband networks have a causal eļ¬€ect on the number of companies operating locally and the creation of new businesses. Paris, Lyon and Marseilles are excluded. Keep municipalities with at least 2,000 inhabitants to deļ¬ne relevant control groups Unlikely to have a superfast broadband by private operators in smaller municipalities Treatment: superfastbbit = 1 if a superfast broadband network has been deployed. To control for potential issues of reverse causality, I use lag variables. Hasbi Impact of Superfast Broadband on Local Economic Growth
  • 8. Relevant set of matches: panel data with ļ¬xed eļ¬€ects company ind construc comm adm new company new ind new construc new comm adm superfast bb 0.0325*** 0.0136** 0.0476*** 0.0271*** 0.0252*** -0.0059 0.0117 0.0256** (0.006) (0.006) (0.006) (0.006) (0.009) (0.018) (0.019) (0.010) income 0.0029** 0.0005 -0.0018 0.0038*** 0.0052*** 0.0059 0.0169*** 0.0035* (0.001) (0.001) (0.001) (0.001) (0.002) (0.004) (0.004) (0.002) estab commserv % 0.0002 -0.0015*** -0.0016*** 0.0008*** 0.0001 0.0033*** 0.0062*** -0.0022*** (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) (0.000) unemployment -0.0017 0.0017 0.0018 -0.0028** -0.0025 -0.0036 0.0041 -0.0039* (0.001) (0.001) (0.001) (0.001) (0.002) (0.004) (0.004) (0.002) density 0.1876*** 0.1747*** 0.3656*** 0.1563*** 0.1770*** 0.3365** 0.3212** 0.1438* (0.048) (0.047) (0.044) (0.046) (0.067) (0.142) (0.147) (0.077) households 0.2966*** 0.3848*** 0.1701*** 0.3396*** 0.2030*** 0.2041* -0.0899 0.2491*** (0.036) (0.036) (0.033) (0.035) (0.051) (0.108) (0.111) (0.059) y2011 0.0205*** 0.0150*** 0.0154*** 0.0226*** 0.0036 0.0268*** 0.0197** 0.0019 (0.003) (0.003) (0.003) (0.003) (0.005) (0.010) (0.010) (0.005) y2012 0.0392*** 0.0088** 0.0353*** 0.0438*** -0.0280*** 0.0149 -0.0512*** -0.0258*** (0.004) (0.004) (0.003) (0.004) (0.005) (0.011) (0.012) (0.006) y2013 0.0846*** 0.0340*** 0.0830*** 0.0921*** -0.0216*** 0.0451*** -0.0944*** -0.0111 (0.005) (0.005) (0.004) (0.005) (0.007) (0.014) (0.015) (0.008) y2014 0.1406*** 0.0776*** 0.1395*** 0.1551*** -0.1013*** -0.0361** -0.2184*** -0.0872*** (0.006) (0.006) (0.005) (0.005) (0.008) (0.017) (0.018) (0.009) Constant 5.0320*** 2.5535*** 3.2800*** 4.6915*** 3.1519*** -0.0700 0.5269*** 3.1163*** (0.055) (0.054) (0.050) (0.052) (0.077) (0.163) (0.168) (0.089) Observations 24,663 24,663 24,663 24,663 24,663 24,663 24,663 24,663 R-squared 0.156 0.102 0.207 0.187 0.025 0.012 0.059 0.012 Nb municipalities 4,933 4,933 4,933 4,933 4,933 4,933 4,933 4,933 Standard errors in parentheses: *** p < 0.01, ** p < 0.05, * p < 0.1 Hasbi Impact of Superfast Broadband on Local Economic Growth
  • 9. Relevant set of matches establishmentit+1 : (establishmentitāˆ’1), (perc estab commservit), log householdsitāˆ’2, densityitāˆ’2 unemplitāˆ’2, incomeitāˆ’3, year (perc uni diplomaitāˆ’2), (socio professional groupsitāˆ’2). (4) new establishmentit+1 : (establishmentitāˆ’1), (perc estab commservit), log householdsitāˆ’2, densityitāˆ’2 unemplitāˆ’2, incomeitāˆ’3, year (perc uni diplomaitāˆ’2), (socio professional groupsitāˆ’2). (5) company ind construc comm adm new company new ind new construc new comm adm superfast bb 0.0389** 0.0417** 0.0156 0.0376** 0.0489** 0.0738** 0.0270 0.0473** (0.018) (0.021) (0.022) (0.018) (0.020) (0.035) (0.028) (0.019) Observations 24,663 24,663 24,663 24,663 24,663 24,663 24,663 24,663 Standard errors in parentheses: *** p < 0.01, ** p < 0.05, * p < 0.1 Hasbi Impact of Superfast Broadband on Local Economic Growth
  • 10. Robustness checks Comparison with ļ¬rst stage: panel data analyses with ļ¬xed eļ¬€ects Use diļ¬€erence-in-diļ¬€erence methods (double diļ¬€erence between two groups and two time periods) Deployments happen within 5 years, but very few deployment before 2013 Try diļ¬€erent speciļ¬cations (several diļ¬€-in-diļ¬€) Only signiļ¬cant when time is set in 2012 and 2013 for all deployments Similar results for both speciļ¬cations Hasbi Impact of Superfast Broadband on Local Economic Growth
  • 11. Impact of superfast broadband Table: Sum up of eļ¬€ects ATT diļ¬€ 2012 diļ¬€ 2013 Panal FE company 3.9% 4.4% 4% 3.3% industry 4.2% 2.6% 2.1% 1.4% construction X 6.8% 6.9% 5.8% comm adm 3.8% 3.7% 3.1% 2.7% new company 4.% 4.3% 4.3% 2.5% n industry 7.4% 2.9% X X n construction X 4.8% 5.1% X n commadm 4.7% 4% 3.8% 2.6% n individual comp 3.4% 3.2% 3.2% 2% n estab comm serv 4.2% 4.1% 4.4% 6% n estab serv hh X X X X n estab serv comp 5.9% X X X X: insigniļ¬cant Hasbi Impact of Superfast Broadband on Local Economic Growth
  • 12. Impact of superfast broadband Positive average eļ¬€ect of superfast broadband on the number of establishments locally (average +4%) Especially in the construction (average +6%) and tertiary sectors (average +3%) Positive average eļ¬€ect of superfast broadband on establishments creation (average +3%) Positive average eļ¬€ect on the number of establishment creation in the construction sector (average +5%) Mixed average eļ¬€ect on the number of establishment creation in the industrial sector (average +3% / +7 %) Positive average eļ¬€ect on the number of establishment creation in the tertiary sector (average +3%) Hasbi Impact of Superfast Broadband on Local Economic Growth
  • 13. Impact of superfast broadband Possible to disaggregate further the tertiary sector for new establishments: Higher positive impact for new establishments operating in the commerce and service sector (average +4% +6%) Not signiļ¬cant for new establishments dedicated to households services As regards establishments dedicated to company services, only signiļ¬cant for ATT (average +6%) Positive impact of the creation of individually owned businesses (average +4%) Hasbi Impact of Superfast Broadband on Local Economic Growth
  • 14. Thanks a lot Any questions? FSR C&M Scientiļ¬c Seminar March 24th, 2017 Hasbi Thanks a lot