SlideShare a Scribd company logo
Internet piracy and book sales.
A field experiment.
Wojciech Hardy Michał Krawczyk
EEA 2015
Joanna Tyrowicz
Group for Research in APplied Economics
Summary of the results
Book industry representatives’ concern about
internet piracy might be exaggerated.
(At least) for now.
• sssssssss
2
• Many studies for film and music industries.
• Mixed results depending on:
– The methodology.
– The analyzed good.
– The analyzed period.
• A few studies on book industry. But:
– Small-scale (almost case studies).
– Specific genres of books.
– Not really on piracy.
3
Design RecruitmentLiterature Matching Treatment
Main problems:
Seasonal effects
Causality
Omitted variable
Perfect tool?
Experiments!
In general
• The sample should be:
– Large (for statistical inference).
– Varied (for representativeness).
– Long (to control for seasonal effects).
• The experimental methodology would deal with:
– Reverse causality (a reference group).
– Omitted variables (randomized treatment application).
In detail
• Acquire book data.
• Match them in groups (two or more books as similar as possible!).
• Protect one randomly chosen book in each pair.
• Do it for a year.
• Compare the two outcomes.
4
Design RecruitmentLiterature Matching Treatment
Contribution?
New industry
New methodology
New conclusions
• Around 70 Polish publishers contacted.
• 11 accepted.
• 9 went through with providing all of the data
• Data on 249 titles for over a year
• Different genres: legal, business, linguistic, fiction, fantasy, etc.
• Both medium and larger publishers,
• Both popular and niche titles
5
Design RecruitmentLiterature Matching Treatment
We split them into matched pairs (groups)
The variables they are matched on:
– Publication date & edition
– Page count
– Versions available (type of cover, digital)
– Sales forecasts (monthly)
– Number of unauthorized copies found prior to the experiment
Matching results:
– Groups of two: 94
– Groups of three: 13
– Groups of five: 1
6
Design RecruitmentLiterature Matching Treatment
Within each group we have randomly picked
protected and control titles.
Thus both groups were comparable.
We did nothing to the Control Treatment
(CT) group.
Agency Plagiat.pl removed unauthorized
copies from the Enforcement Treatment
(ET) group.
We observed both groups between 11.2012
and 9.2013.
7
Design RecruitmentLiterature Matching Treatment
A note on file-sharing in
Poland.
Alexa ranking of
„most popular websites”:
Chomikuj.pl – 17th
Pirate Bay – 66th
1) Data from Plagiat.pl
2) Counterfactual excercise: searched for 20 titles each (RA’s).
– Found fewer protected books.
– If found – searched longer.
– If found – mostly non-standard sources.
8
Manipulation check
• We received sales data.
• Some distribution.
• They could be negative (what we did)
• Smth by genre?
9
Sales data
Experimental data, no need for regressions
• No difference in sales, or variance
10
Tests
11
Tests
• Let’s recheck our strategy and add controls.
• No results!
12
Regressions – if heterogeneity
• Popularity? (see this and that)
• No results!
13
Regressions – if distributional effects
• Good thing about piracy that you don’t need a result
14
Conclusions
We have performed a large field experiment on piracy’s impact on
book sales.
We applied a robust methodology and checked for more complex
relationships.
Internet piracy does not seem to pose a threat to the book industry.
Of course, the situation is likely to evolve quickly.
Thank you for your attention!
Author: Joanna Tyrowicz
e-mail: j.tyrowicz@uw.edu.pl
More about our research on
http://grape.uw.edu.pl/ipiracy
Twitter: @GrapeUW

More Related Content

Similar to Internet piracy and book sales

Internet Piracy and Book Sales
Internet Piracy and Book SalesInternet Piracy and Book Sales
Internet Piracy and Book Sales
GRAPE
 
Impact Of Piracy And Free ( T O C F F)
Impact Of Piracy And Free ( T O C  F F)Impact Of Piracy And Free ( T O C  F F)
Impact Of Piracy And Free ( T O C F F)
Brian O'Leary
 
Impact of piracy (Novelists Inc)
Impact of piracy (Novelists Inc)Impact of piracy (Novelists Inc)
Impact of piracy (Novelists Inc)
Brian O'Leary
 
Marketing L5: Marketing Research & Guest Speaker
Marketing L5: Marketing Research & Guest SpeakerMarketing L5: Marketing Research & Guest Speaker
Marketing L5: Marketing Research & Guest Speaker
Ahmed Eid
 
Loubier slide share_qualitative
Loubier slide share_qualitativeLoubier slide share_qualitative
Loubier slide share_qualitative
GryphTheriaultLoubie
 
Introduction to Recommendation System
Introduction to Recommendation SystemIntroduction to Recommendation System
Introduction to Recommendation System
Minha Hwang
 
Research Methodology
Research MethodologyResearch Methodology
Research Methodology
Jawid Hassanzai
 
MBA Marketing Full Thesis
MBA Marketing Full ThesisMBA Marketing Full Thesis
MBA Marketing Full Thesis
Meezan Bank
 
TerranceExplain at least five elements of critical thinking th
TerranceExplain at least five elements of critical thinking thTerranceExplain at least five elements of critical thinking th
TerranceExplain at least five elements of critical thinking th
alehosickg3
 
3 Types of Marketing Research Designs (Exploratory, Descriptive, Causal)
3 Types of Marketing Research Designs (Exploratory, Descriptive, Causal)3 Types of Marketing Research Designs (Exploratory, Descriptive, Causal)
3 Types of Marketing Research Designs (Exploratory, Descriptive, Causal)
Rubayet Hassan
 
Research Design Part I I Updated Summer 0
Research  Design  Part  I I Updated  Summer 0Research  Design  Part  I I Updated  Summer 0
Research Design Part I I Updated Summer 0
Glenn E. Malone, EdD
 
Thompson Sampling for Machine Learning - Ruben Mak
Thompson Sampling for Machine Learning - Ruben MakThompson Sampling for Machine Learning - Ruben Mak
Thompson Sampling for Machine Learning - Ruben Mak
PyData
 
Unsupervised learning
Unsupervised learningUnsupervised learning
Unsupervised learning
veesingh
 
Coding qualitative data for non-researchers
Coding qualitative data for non-researchersCoding qualitative data for non-researchers
Coding qualitative data for non-researchers
Kelley Howell
 
Tom Malone - Program for the Future Dec. 8
Tom Malone - Program for the Future Dec. 8Tom Malone - Program for the Future Dec. 8
Tom Malone - Program for the Future Dec. 8
TechVirtual
 
Scholarly Book Recommendation
Scholarly Book RecommendationScholarly Book Recommendation
Introduction to statistics 2013
Introduction to statistics 2013Introduction to statistics 2013
Introduction to statistics 2013
Mohammad Ihmeidan
 
FCS 681 Lecture 5SamplingWhat is sampling and Wh.docx
FCS 681 Lecture 5SamplingWhat is sampling and Wh.docxFCS 681 Lecture 5SamplingWhat is sampling and Wh.docx
FCS 681 Lecture 5SamplingWhat is sampling and Wh.docx
mydrynan
 
Mest 4
Mest 4Mest 4
What's the Science in Data Science? - Skipper Seabold
What's the Science in Data Science? - Skipper SeaboldWhat's the Science in Data Science? - Skipper Seabold
What's the Science in Data Science? - Skipper Seabold
PyData
 

Similar to Internet piracy and book sales (20)

Internet Piracy and Book Sales
Internet Piracy and Book SalesInternet Piracy and Book Sales
Internet Piracy and Book Sales
 
Impact Of Piracy And Free ( T O C F F)
Impact Of Piracy And Free ( T O C  F F)Impact Of Piracy And Free ( T O C  F F)
Impact Of Piracy And Free ( T O C F F)
 
Impact of piracy (Novelists Inc)
Impact of piracy (Novelists Inc)Impact of piracy (Novelists Inc)
Impact of piracy (Novelists Inc)
 
Marketing L5: Marketing Research & Guest Speaker
Marketing L5: Marketing Research & Guest SpeakerMarketing L5: Marketing Research & Guest Speaker
Marketing L5: Marketing Research & Guest Speaker
 
Loubier slide share_qualitative
Loubier slide share_qualitativeLoubier slide share_qualitative
Loubier slide share_qualitative
 
Introduction to Recommendation System
Introduction to Recommendation SystemIntroduction to Recommendation System
Introduction to Recommendation System
 
Research Methodology
Research MethodologyResearch Methodology
Research Methodology
 
MBA Marketing Full Thesis
MBA Marketing Full ThesisMBA Marketing Full Thesis
MBA Marketing Full Thesis
 
TerranceExplain at least five elements of critical thinking th
TerranceExplain at least five elements of critical thinking thTerranceExplain at least five elements of critical thinking th
TerranceExplain at least five elements of critical thinking th
 
3 Types of Marketing Research Designs (Exploratory, Descriptive, Causal)
3 Types of Marketing Research Designs (Exploratory, Descriptive, Causal)3 Types of Marketing Research Designs (Exploratory, Descriptive, Causal)
3 Types of Marketing Research Designs (Exploratory, Descriptive, Causal)
 
Research Design Part I I Updated Summer 0
Research  Design  Part  I I Updated  Summer 0Research  Design  Part  I I Updated  Summer 0
Research Design Part I I Updated Summer 0
 
Thompson Sampling for Machine Learning - Ruben Mak
Thompson Sampling for Machine Learning - Ruben MakThompson Sampling for Machine Learning - Ruben Mak
Thompson Sampling for Machine Learning - Ruben Mak
 
Unsupervised learning
Unsupervised learningUnsupervised learning
Unsupervised learning
 
Coding qualitative data for non-researchers
Coding qualitative data for non-researchersCoding qualitative data for non-researchers
Coding qualitative data for non-researchers
 
Tom Malone - Program for the Future Dec. 8
Tom Malone - Program for the Future Dec. 8Tom Malone - Program for the Future Dec. 8
Tom Malone - Program for the Future Dec. 8
 
Scholarly Book Recommendation
Scholarly Book RecommendationScholarly Book Recommendation
Scholarly Book Recommendation
 
Introduction to statistics 2013
Introduction to statistics 2013Introduction to statistics 2013
Introduction to statistics 2013
 
FCS 681 Lecture 5SamplingWhat is sampling and Wh.docx
FCS 681 Lecture 5SamplingWhat is sampling and Wh.docxFCS 681 Lecture 5SamplingWhat is sampling and Wh.docx
FCS 681 Lecture 5SamplingWhat is sampling and Wh.docx
 
Mest 4
Mest 4Mest 4
Mest 4
 
What's the Science in Data Science? - Skipper Seabold
What's the Science in Data Science? - Skipper SeaboldWhat's the Science in Data Science? - Skipper Seabold
What's the Science in Data Science? - Skipper Seabold
 

More from GRAPE

Seminar: Gender Board Diversity through Ownership Networks
Seminar: Gender Board Diversity through Ownership NetworksSeminar: Gender Board Diversity through Ownership Networks
Seminar: Gender Board Diversity through Ownership Networks
GRAPE
 
The European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population agingThe European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population aging
GRAPE
 
Revisiting gender board diversity and firm performance
Revisiting gender board diversity and firm performanceRevisiting gender board diversity and firm performance
Revisiting gender board diversity and firm performance
GRAPE
 
Gender board diversity and firm performance
Gender board diversity and firm performanceGender board diversity and firm performance
Gender board diversity and firm performance
GRAPE
 
Gender board diversity and firm performance: evidence from European data
Gender board diversity and firm performance: evidence from European dataGender board diversity and firm performance: evidence from European data
Gender board diversity and firm performance: evidence from European data
GRAPE
 
Demographic transition and the rise of wealth inequality
Demographic transition and the rise of wealth inequalityDemographic transition and the rise of wealth inequality
Demographic transition and the rise of wealth inequality
GRAPE
 
(Gender) tone at the top: the effect of board diversity on gender inequality
(Gender) tone at the top: the effect of board diversity on gender inequality(Gender) tone at the top: the effect of board diversity on gender inequality
(Gender) tone at the top: the effect of board diversity on gender inequality
GRAPE
 
Gender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eyeGender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eye
GRAPE
 
Wage Inequality and women's self-employment
Wage Inequality and women's self-employmentWage Inequality and women's self-employment
Wage Inequality and women's self-employment
GRAPE
 
Contracts with Interdependent Preferences (2)
Contracts with Interdependent Preferences (2)Contracts with Interdependent Preferences (2)
Contracts with Interdependent Preferences (2)
GRAPE
 
Empathy in risky choices on behalf of others
Empathy in risky choices on behalf of othersEmpathy in risky choices on behalf of others
Empathy in risky choices on behalf of others
GRAPE
 
Contracts with Interdependent Preferences
Contracts with Interdependent PreferencesContracts with Interdependent Preferences
Contracts with Interdependent Preferences
GRAPE
 
Tone at the top: the effects of gender board diversity on gender wage inequal...
Tone at the top: the effects of gender board diversity on gender wage inequal...Tone at the top: the effects of gender board diversity on gender wage inequal...
Tone at the top: the effects of gender board diversity on gender wage inequal...
GRAPE
 
Gender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eyeGender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eye
GRAPE
 
The European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population agingThe European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population aging
GRAPE
 
ENTIME_GEM___GAP.pdf
ENTIME_GEM___GAP.pdfENTIME_GEM___GAP.pdf
ENTIME_GEM___GAP.pdf
GRAPE
 
POSTER_EARHART.pdf
POSTER_EARHART.pdfPOSTER_EARHART.pdf
POSTER_EARHART.pdf
GRAPE
 
Boston_College Slides.pdf
Boston_College Slides.pdfBoston_College Slides.pdf
Boston_College Slides.pdf
GRAPE
 
Presentation_Yale.pdf
Presentation_Yale.pdfPresentation_Yale.pdf
Presentation_Yale.pdf
GRAPE
 
Presentation_Columbia.pdf
Presentation_Columbia.pdfPresentation_Columbia.pdf
Presentation_Columbia.pdf
GRAPE
 

More from GRAPE (20)

Seminar: Gender Board Diversity through Ownership Networks
Seminar: Gender Board Diversity through Ownership NetworksSeminar: Gender Board Diversity through Ownership Networks
Seminar: Gender Board Diversity through Ownership Networks
 
The European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population agingThe European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population aging
 
Revisiting gender board diversity and firm performance
Revisiting gender board diversity and firm performanceRevisiting gender board diversity and firm performance
Revisiting gender board diversity and firm performance
 
Gender board diversity and firm performance
Gender board diversity and firm performanceGender board diversity and firm performance
Gender board diversity and firm performance
 
Gender board diversity and firm performance: evidence from European data
Gender board diversity and firm performance: evidence from European dataGender board diversity and firm performance: evidence from European data
Gender board diversity and firm performance: evidence from European data
 
Demographic transition and the rise of wealth inequality
Demographic transition and the rise of wealth inequalityDemographic transition and the rise of wealth inequality
Demographic transition and the rise of wealth inequality
 
(Gender) tone at the top: the effect of board diversity on gender inequality
(Gender) tone at the top: the effect of board diversity on gender inequality(Gender) tone at the top: the effect of board diversity on gender inequality
(Gender) tone at the top: the effect of board diversity on gender inequality
 
Gender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eyeGender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eye
 
Wage Inequality and women's self-employment
Wage Inequality and women's self-employmentWage Inequality and women's self-employment
Wage Inequality and women's self-employment
 
Contracts with Interdependent Preferences (2)
Contracts with Interdependent Preferences (2)Contracts with Interdependent Preferences (2)
Contracts with Interdependent Preferences (2)
 
Empathy in risky choices on behalf of others
Empathy in risky choices on behalf of othersEmpathy in risky choices on behalf of others
Empathy in risky choices on behalf of others
 
Contracts with Interdependent Preferences
Contracts with Interdependent PreferencesContracts with Interdependent Preferences
Contracts with Interdependent Preferences
 
Tone at the top: the effects of gender board diversity on gender wage inequal...
Tone at the top: the effects of gender board diversity on gender wage inequal...Tone at the top: the effects of gender board diversity on gender wage inequal...
Tone at the top: the effects of gender board diversity on gender wage inequal...
 
Gender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eyeGender board diversity spillovers and the public eye
Gender board diversity spillovers and the public eye
 
The European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population agingThe European Unemployment Puzzle: implications from population aging
The European Unemployment Puzzle: implications from population aging
 
ENTIME_GEM___GAP.pdf
ENTIME_GEM___GAP.pdfENTIME_GEM___GAP.pdf
ENTIME_GEM___GAP.pdf
 
POSTER_EARHART.pdf
POSTER_EARHART.pdfPOSTER_EARHART.pdf
POSTER_EARHART.pdf
 
Boston_College Slides.pdf
Boston_College Slides.pdfBoston_College Slides.pdf
Boston_College Slides.pdf
 
Presentation_Yale.pdf
Presentation_Yale.pdfPresentation_Yale.pdf
Presentation_Yale.pdf
 
Presentation_Columbia.pdf
Presentation_Columbia.pdfPresentation_Columbia.pdf
Presentation_Columbia.pdf
 

Recently uploaded

2. Elemental Economics - Mineral demand.pdf
2. Elemental Economics - Mineral demand.pdf2. Elemental Economics - Mineral demand.pdf
2. Elemental Economics - Mineral demand.pdf
Neal Brewster
 
BONKMILLON Unleashes Its Bonkers Potential on Solana.pdf
BONKMILLON Unleashes Its Bonkers Potential on Solana.pdfBONKMILLON Unleashes Its Bonkers Potential on Solana.pdf
BONKMILLON Unleashes Its Bonkers Potential on Solana.pdf
coingabbar
 
The Impact of GST Payments on Loan Approvals
The Impact of GST Payments on Loan ApprovalsThe Impact of GST Payments on Loan Approvals
The Impact of GST Payments on Loan Approvals
Vighnesh Shashtri
 
Tdasx: In-Depth Analysis of Cryptocurrency Giveaway Scams and Security Strate...
Tdasx: In-Depth Analysis of Cryptocurrency Giveaway Scams and Security Strate...Tdasx: In-Depth Analysis of Cryptocurrency Giveaway Scams and Security Strate...
Tdasx: In-Depth Analysis of Cryptocurrency Giveaway Scams and Security Strate...
nimaruinazawa258
 
快速制作美国迈阿密大学牛津分校毕业证文凭证书英文原版一模一样
快速制作美国迈阿密大学牛津分校毕业证文凭证书英文原版一模一样快速制作美国迈阿密大学牛津分校毕业证文凭证书英文原版一模一样
快速制作美国迈阿密大学牛津分校毕业证文凭证书英文原版一模一样
rlo9fxi
 
OAT_RI_Ep20 WeighingTheRisks_May24_Trade Wars.pptx
OAT_RI_Ep20 WeighingTheRisks_May24_Trade Wars.pptxOAT_RI_Ep20 WeighingTheRisks_May24_Trade Wars.pptx
OAT_RI_Ep20 WeighingTheRisks_May24_Trade Wars.pptx
hiddenlevers
 
STREETONOMICS: Exploring the Uncharted Territories of Informal Markets throug...
STREETONOMICS: Exploring the Uncharted Territories of Informal Markets throug...STREETONOMICS: Exploring the Uncharted Territories of Informal Markets throug...
STREETONOMICS: Exploring the Uncharted Territories of Informal Markets throug...
sameer shah
 
^%$Zone1:+971)581248768’][* Legit & Safe #Abortion #Pills #For #Sale In #Duba...
^%$Zone1:+971)581248768’][* Legit & Safe #Abortion #Pills #For #Sale In #Duba...^%$Zone1:+971)581248768’][* Legit & Safe #Abortion #Pills #For #Sale In #Duba...
^%$Zone1:+971)581248768’][* Legit & Safe #Abortion #Pills #For #Sale In #Duba...
mayaclinic18
 
Detailed power point presentation on compound interest and how it is calculated
Detailed power point presentation on compound interest  and how it is calculatedDetailed power point presentation on compound interest  and how it is calculated
Detailed power point presentation on compound interest and how it is calculated
KishanChaudhary23
 
一比一原版(UoB毕业证)伯明翰大学毕业证如何办理
一比一原版(UoB毕业证)伯明翰大学毕业证如何办理一比一原版(UoB毕业证)伯明翰大学毕业证如何办理
一比一原版(UoB毕业证)伯明翰大学毕业证如何办理
nexop1
 
Instant Issue Debit Cards - School Designs
Instant Issue Debit Cards - School DesignsInstant Issue Debit Cards - School Designs
Instant Issue Debit Cards - School Designs
egoetzinger
 
What's a worker’s market? Job quality and labour market tightness
What's a worker’s market? Job quality and labour market tightnessWhat's a worker’s market? Job quality and labour market tightness
What's a worker’s market? Job quality and labour market tightness
Labour Market Information Council | Conseil de l’information sur le marché du travail
 
Who Is Abhay Bhutada, MD of Poonawalla Fincorp
Who Is Abhay Bhutada, MD of Poonawalla FincorpWho Is Abhay Bhutada, MD of Poonawalla Fincorp
Who Is Abhay Bhutada, MD of Poonawalla Fincorp
beulahfernandes8
 
An Overview of the Prosocial dHEDGE Vault works
An Overview of the Prosocial dHEDGE Vault worksAn Overview of the Prosocial dHEDGE Vault works
An Overview of the Prosocial dHEDGE Vault works
Colin R. Turner
 
一比一原版美国新罕布什尔大学(unh)毕业证学历认证真实可查
一比一原版美国新罕布什尔大学(unh)毕业证学历认证真实可查一比一原版美国新罕布什尔大学(unh)毕业证学历认证真实可查
一比一原版美国新罕布什尔大学(unh)毕业证学历认证真实可查
taqyea
 
Bridging the gap: Online job postings, survey data and the assessment of job ...
Bridging the gap: Online job postings, survey data and the assessment of job ...Bridging the gap: Online job postings, survey data and the assessment of job ...
Bridging the gap: Online job postings, survey data and the assessment of job ...
Labour Market Information Council | Conseil de l’information sur le marché du travail
 
Earn a passive income with prosocial investing
Earn a passive income with prosocial investingEarn a passive income with prosocial investing
Earn a passive income with prosocial investing
Colin R. Turner
 
Does teamwork really matter? Looking beyond the job posting to understand lab...
Does teamwork really matter? Looking beyond the job posting to understand lab...Does teamwork really matter? Looking beyond the job posting to understand lab...
Does teamwork really matter? Looking beyond the job posting to understand lab...
Labour Market Information Council | Conseil de l’information sur le marché du travail
 
falcon-invoice-discounting-a-strategic-approach-to-optimize-investments
falcon-invoice-discounting-a-strategic-approach-to-optimize-investmentsfalcon-invoice-discounting-a-strategic-approach-to-optimize-investments
falcon-invoice-discounting-a-strategic-approach-to-optimize-investments
Falcon Invoice Discounting
 
一比一原版(GWU,GW毕业证)加利福尼亚大学|尔湾分校毕业证如何办理
一比一原版(GWU,GW毕业证)加利福尼亚大学|尔湾分校毕业证如何办理一比一原版(GWU,GW毕业证)加利福尼亚大学|尔湾分校毕业证如何办理
一比一原版(GWU,GW毕业证)加利福尼亚大学|尔湾分校毕业证如何办理
obyzuk
 

Recently uploaded (20)

2. Elemental Economics - Mineral demand.pdf
2. Elemental Economics - Mineral demand.pdf2. Elemental Economics - Mineral demand.pdf
2. Elemental Economics - Mineral demand.pdf
 
BONKMILLON Unleashes Its Bonkers Potential on Solana.pdf
BONKMILLON Unleashes Its Bonkers Potential on Solana.pdfBONKMILLON Unleashes Its Bonkers Potential on Solana.pdf
BONKMILLON Unleashes Its Bonkers Potential on Solana.pdf
 
The Impact of GST Payments on Loan Approvals
The Impact of GST Payments on Loan ApprovalsThe Impact of GST Payments on Loan Approvals
The Impact of GST Payments on Loan Approvals
 
Tdasx: In-Depth Analysis of Cryptocurrency Giveaway Scams and Security Strate...
Tdasx: In-Depth Analysis of Cryptocurrency Giveaway Scams and Security Strate...Tdasx: In-Depth Analysis of Cryptocurrency Giveaway Scams and Security Strate...
Tdasx: In-Depth Analysis of Cryptocurrency Giveaway Scams and Security Strate...
 
快速制作美国迈阿密大学牛津分校毕业证文凭证书英文原版一模一样
快速制作美国迈阿密大学牛津分校毕业证文凭证书英文原版一模一样快速制作美国迈阿密大学牛津分校毕业证文凭证书英文原版一模一样
快速制作美国迈阿密大学牛津分校毕业证文凭证书英文原版一模一样
 
OAT_RI_Ep20 WeighingTheRisks_May24_Trade Wars.pptx
OAT_RI_Ep20 WeighingTheRisks_May24_Trade Wars.pptxOAT_RI_Ep20 WeighingTheRisks_May24_Trade Wars.pptx
OAT_RI_Ep20 WeighingTheRisks_May24_Trade Wars.pptx
 
STREETONOMICS: Exploring the Uncharted Territories of Informal Markets throug...
STREETONOMICS: Exploring the Uncharted Territories of Informal Markets throug...STREETONOMICS: Exploring the Uncharted Territories of Informal Markets throug...
STREETONOMICS: Exploring the Uncharted Territories of Informal Markets throug...
 
^%$Zone1:+971)581248768’][* Legit & Safe #Abortion #Pills #For #Sale In #Duba...
^%$Zone1:+971)581248768’][* Legit & Safe #Abortion #Pills #For #Sale In #Duba...^%$Zone1:+971)581248768’][* Legit & Safe #Abortion #Pills #For #Sale In #Duba...
^%$Zone1:+971)581248768’][* Legit & Safe #Abortion #Pills #For #Sale In #Duba...
 
Detailed power point presentation on compound interest and how it is calculated
Detailed power point presentation on compound interest  and how it is calculatedDetailed power point presentation on compound interest  and how it is calculated
Detailed power point presentation on compound interest and how it is calculated
 
一比一原版(UoB毕业证)伯明翰大学毕业证如何办理
一比一原版(UoB毕业证)伯明翰大学毕业证如何办理一比一原版(UoB毕业证)伯明翰大学毕业证如何办理
一比一原版(UoB毕业证)伯明翰大学毕业证如何办理
 
Instant Issue Debit Cards - School Designs
Instant Issue Debit Cards - School DesignsInstant Issue Debit Cards - School Designs
Instant Issue Debit Cards - School Designs
 
What's a worker’s market? Job quality and labour market tightness
What's a worker’s market? Job quality and labour market tightnessWhat's a worker’s market? Job quality and labour market tightness
What's a worker’s market? Job quality and labour market tightness
 
Who Is Abhay Bhutada, MD of Poonawalla Fincorp
Who Is Abhay Bhutada, MD of Poonawalla FincorpWho Is Abhay Bhutada, MD of Poonawalla Fincorp
Who Is Abhay Bhutada, MD of Poonawalla Fincorp
 
An Overview of the Prosocial dHEDGE Vault works
An Overview of the Prosocial dHEDGE Vault worksAn Overview of the Prosocial dHEDGE Vault works
An Overview of the Prosocial dHEDGE Vault works
 
一比一原版美国新罕布什尔大学(unh)毕业证学历认证真实可查
一比一原版美国新罕布什尔大学(unh)毕业证学历认证真实可查一比一原版美国新罕布什尔大学(unh)毕业证学历认证真实可查
一比一原版美国新罕布什尔大学(unh)毕业证学历认证真实可查
 
Bridging the gap: Online job postings, survey data and the assessment of job ...
Bridging the gap: Online job postings, survey data and the assessment of job ...Bridging the gap: Online job postings, survey data and the assessment of job ...
Bridging the gap: Online job postings, survey data and the assessment of job ...
 
Earn a passive income with prosocial investing
Earn a passive income with prosocial investingEarn a passive income with prosocial investing
Earn a passive income with prosocial investing
 
Does teamwork really matter? Looking beyond the job posting to understand lab...
Does teamwork really matter? Looking beyond the job posting to understand lab...Does teamwork really matter? Looking beyond the job posting to understand lab...
Does teamwork really matter? Looking beyond the job posting to understand lab...
 
falcon-invoice-discounting-a-strategic-approach-to-optimize-investments
falcon-invoice-discounting-a-strategic-approach-to-optimize-investmentsfalcon-invoice-discounting-a-strategic-approach-to-optimize-investments
falcon-invoice-discounting-a-strategic-approach-to-optimize-investments
 
一比一原版(GWU,GW毕业证)加利福尼亚大学|尔湾分校毕业证如何办理
一比一原版(GWU,GW毕业证)加利福尼亚大学|尔湾分校毕业证如何办理一比一原版(GWU,GW毕业证)加利福尼亚大学|尔湾分校毕业证如何办理
一比一原版(GWU,GW毕业证)加利福尼亚大学|尔湾分校毕业证如何办理
 

Internet piracy and book sales

  • 1. Internet piracy and book sales. A field experiment. Wojciech Hardy Michał Krawczyk EEA 2015 Joanna Tyrowicz Group for Research in APplied Economics
  • 2. Summary of the results Book industry representatives’ concern about internet piracy might be exaggerated. (At least) for now. • sssssssss 2
  • 3. • Many studies for film and music industries. • Mixed results depending on: – The methodology. – The analyzed good. – The analyzed period. • A few studies on book industry. But: – Small-scale (almost case studies). – Specific genres of books. – Not really on piracy. 3 Design RecruitmentLiterature Matching Treatment Main problems: Seasonal effects Causality Omitted variable Perfect tool? Experiments!
  • 4. In general • The sample should be: – Large (for statistical inference). – Varied (for representativeness). – Long (to control for seasonal effects). • The experimental methodology would deal with: – Reverse causality (a reference group). – Omitted variables (randomized treatment application). In detail • Acquire book data. • Match them in groups (two or more books as similar as possible!). • Protect one randomly chosen book in each pair. • Do it for a year. • Compare the two outcomes. 4 Design RecruitmentLiterature Matching Treatment Contribution? New industry New methodology New conclusions
  • 5. • Around 70 Polish publishers contacted. • 11 accepted. • 9 went through with providing all of the data • Data on 249 titles for over a year • Different genres: legal, business, linguistic, fiction, fantasy, etc. • Both medium and larger publishers, • Both popular and niche titles 5 Design RecruitmentLiterature Matching Treatment
  • 6. We split them into matched pairs (groups) The variables they are matched on: – Publication date & edition – Page count – Versions available (type of cover, digital) – Sales forecasts (monthly) – Number of unauthorized copies found prior to the experiment Matching results: – Groups of two: 94 – Groups of three: 13 – Groups of five: 1 6 Design RecruitmentLiterature Matching Treatment
  • 7. Within each group we have randomly picked protected and control titles. Thus both groups were comparable. We did nothing to the Control Treatment (CT) group. Agency Plagiat.pl removed unauthorized copies from the Enforcement Treatment (ET) group. We observed both groups between 11.2012 and 9.2013. 7 Design RecruitmentLiterature Matching Treatment A note on file-sharing in Poland. Alexa ranking of „most popular websites”: Chomikuj.pl – 17th Pirate Bay – 66th
  • 8. 1) Data from Plagiat.pl 2) Counterfactual excercise: searched for 20 titles each (RA’s). – Found fewer protected books. – If found – searched longer. – If found – mostly non-standard sources. 8 Manipulation check
  • 9. • We received sales data. • Some distribution. • They could be negative (what we did) • Smth by genre? 9 Sales data
  • 10. Experimental data, no need for regressions • No difference in sales, or variance 10 Tests
  • 12. • Let’s recheck our strategy and add controls. • No results! 12 Regressions – if heterogeneity
  • 13. • Popularity? (see this and that) • No results! 13 Regressions – if distributional effects
  • 14. • Good thing about piracy that you don’t need a result 14 Conclusions We have performed a large field experiment on piracy’s impact on book sales. We applied a robust methodology and checked for more complex relationships. Internet piracy does not seem to pose a threat to the book industry. Of course, the situation is likely to evolve quickly.
  • 15. Thank you for your attention! Author: Joanna Tyrowicz e-mail: j.tyrowicz@uw.edu.pl More about our research on http://grape.uw.edu.pl/ipiracy Twitter: @GrapeUW