Books Average Previous Decade of Economic Misery

For the 20th century since the Depression, we find a strong correlation between a ‘literary misery index’ derived from English language books and a moving average of the previous decade of the annual U.S. economic misery index, which is the sum of inflation and unemployment rates. We find a peak in the goodness of fit at 11 years for the moving average. The fit between the two misery indices holds when using different techniques to measure the literary misery index, and this fit is significantly better than other possible correlations with different emotion indices. To check the robustness of the results, we also analysed books written in German language and obtained very similar correlations with the German economic misery index. The results suggest that millions of books published every year average the authors' shared economic experiences over the past decade.

[1]  Christopher Y Olivola,et al.  Distributions of observed death tolls govern sensitivity to human fatalities , 2009, Proceedings of the National Academy of Sciences.

[2]  P. Ormerod,et al.  Inflation/unemployment regimes and the instability of the Phillips curve , 2013 .

[3]  Slav Petrov,et al.  Syntactic Annotations for the Google Books NGram Corpus , 2012, ACL.

[4]  F J van Lenthe,et al.  Neighbourhood unemployment and all cause mortality: a comparison of six countries , 2005, Journal of Epidemiology and Community Health.

[5]  J. M. Hughes,et al.  Quantitative patterns of stylistic influence in the evolution of literature , 2012, Proceedings of the National Academy of Sciences.

[6]  Brian Uzzi,et al.  Synchronicity, instant messaging, and performance among financial traders , 2011, Proceedings of the National Academy of Sciences.

[7]  Connie R. Wanberg,et al.  Psychological and physical well-being during unemployment: a meta-analytic study. , 2005, The Journal of applied psychology.

[8]  W. K. Campbell,et al.  Tuning in to psychological change: Linguistic markers of psychological traits and emotions over time in popular U.S. song lyrics. , 2011 .

[9]  Gordon D. A. Brown,et al.  Decision by sampling , 2006, Cognitive Psychology.

[10]  John Nerbonne,et al.  The Secret Life of Pronouns. What Our Words Say About Us , 2014, Lit. Linguistic Comput..

[11]  H. Eugene Stanley,et al.  Quantifying the Advantage of Looking Forward , 2012, Scientific Reports.

[12]  George A. Miller,et al.  WordNet: A Lexical Database for English , 1995, HLT.

[13]  Adam Powell,et al.  Late Pleistocene Demography and the Appearance of Modern Human Behavior , 2009, Science.

[14]  J. Carroll,et al.  Evolution and literary theory , 1994, Human nature.

[15]  Jake,et al.  Children of the Great Depression , 2009 .

[16]  Christina D. Romer.  Spurious Volatility in Historical Unemployment Data , 1986, Journal of Political Economy.

[17]  A. Whiten,et al.  The multiple roles of cultural transmission experiments in understanding human cultural evolution , 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.

[18]  A. Maddison,et al.  The World Economy: Historical Statistics , 2003 .

[19]  Trevor Cohn,et al.  A user-centric model of voting intention from Social Media , 2013, ACL.

[20]  M. Stewart,et al.  Poverty, Sense of Belonging and Experiences of Social Isolation , 2009 .

[21]  Vasileios Lampos,et al.  The Expression of Emotions in 20th Century Books , 2013, PloS one.

[22]  Johan Bollen,et al.  Twitter mood predicts the stock market , 2010, J. Comput. Sci..

[23]  Prashanth U. Nyer,et al.  The role of emotions in marketing , 1999 .

[24]  Timothy D. Wilson,et al.  The End of History Illusion , 2013, Science.

[25]  Gyslain Giguère,et al.  Limits in decision making arise from limits in memory retrieval , 2013, Proceedings of the National Academy of Sciences.

[26]  Eric Abrahamson,et al.  Employee-management Techniques: Transient Fads or Trending Fashions? , 2008 .

[27]  James A. Athanasou,et al.  The effect of unemployment on mental health , 1999 .

[28]  Philip Garnett,et al.  Word Diffusion and Climate Science , 2012, PloS one.

[29]  Harry Eugene Stanley,et al.  Languages cool as they expand: Allometric scaling and the decreasing need for new words , 2012, Scientific Reports.

[30]  Christopher M. Danforth,et al.  Positivity of the English Language , 2011, PloS one.

[31]  Erez Lieberman,et al.  Quantifying the evolutionary dynamics of language , 2007, Nature.

[32]  Björn-Olav Dozo,et al.  Quantitative Analysis of Culture Using Millions of Digitized Books , 2010 .

[33]  John H. Gerdes,et al.  Using web-based search data to predict macroeconomic statistics , 2005, CACM.

[34]  Magnus Enquist,et al.  The Logic of Fashion Cycles , 2012, PloS one.

[35]  N. Bandelj.  Emotions in economic action and interaction , 2009 .

[36]  L. Marshall.  The Kin Terminology System of the !Kung Bushmen , 1957, Africa.

[37]  Antonio Damasio,et al.  The somatic marker hypothesis: A neural theory of economic decision , 2005, Games Econ. Behav..

[38]  R. Coen.  Labor Force and Unemployment in the 1920's and 1930's: A Re-examination Based on Postwar Experience , 1973 .

[39]  R. Jackman,et al.  Prices and Quantities. , 1982 .

[40]  Carlo Strapparava,et al.  Learning to identify emotions in text , 2008, SAC '08.

[41]  K. Moser,et al.  Unemployment impairs mental health: Meta-analyses , 2009 .

[42]  R. Boyd,et al.  Population size predicts technological complexity in Oceania , 2010, Proceedings of the Royal Society B: Biological Sciences.

[43]  Matjaz Perc,et al.  Evolution of the most common English words and phrases over the centuries , 2012, Journal of The Royal Society Interface.

[44]  Nello Cristianini,et al.  Effects of the recession on public mood in the UK , 2012, WWW.

[45]  J. Pennebaker,et al.  The Secret Life of Pronouns , 2003, Psychological science.

[46]  Broadus Mitchell,et al.  International Historical Statistics , 1998 .

[47]  Rafael A. Calvo,et al.  Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications , 2010, IEEE Transactions on Affective Computing.

[48]  J Pentti,et al.  Factors underlying the effect of organisational downsizing on health of employees: longitudinal cohort study , 2000, BMJ : British Medical Journal.

[49]  Jeremy Ginsberg,et al.  Detecting influenza epidemics using search engine query data , 2009, Nature.

[50]  Nello Cristianini,et al.  Nowcasting Events from the Social Web with Statistical Learning , 2012, TIST.

[51]  G. Loewenstein.  Emotions in Economic Theory and Economic Behavior , 2000 .

[52]  Steven Pinker,et al.  The logic of indirect speech , 2008, Proceedings of the National Academy of Sciences.

[53]  M. Kivimäki,et al.  Temporary employment and risk of overall and cause-specific mortality. , 2003, American journal of epidemiology.

[54]  W. Keith Campbell,et al.  Increases in Individualistic Words and Phrases in American Books, 1960–2008 , 2012, PloS one.

[55]  Broadus Mitchell.  International historical statistics : Europe, 1750-2005 , 2003 .

[56]  J. Pennebaker,et al.  Computergestützte quantitative textanalyse: Äquivalenz und robustheit der deutschen Version des Linguistic Inquiry and Word Count. , 2008 .

[57]  David M. Pennock,et al.  Predicting consumer behavior with Web search , 2010, Proceedings of the National Academy of Sciences.

[58]  Mabel Berezin.  Exploring emotions and the economy: new contributions from sociological theory , 2009 .

[59]  H. Varian,et al.  Predicting the Present with Google Trends , 2012 .

[60]  John C. Avise,et al.  The Cognitive Niche: Coevolution of Intelligence, Sociality, and Language , 2010 .

[61]  H. Varian,et al.  Predicting the Present with Google Trends , 2009 .

[62]  Lada A. Adamic,et al.  Computational Social Science , 2009, Science.

[63]  Jing Hu,et al.  Culturomics meets random fractal theory: insights into long-range correlations of social and natural phenomena over the past two centuries , 2012, Journal of The Royal Society Interface.

[64]  Till von Wachter,et al.  Job Displacement and Mortality: An Analysis Using Administrative Data , 2009 .

[65]  Martin F. Porter,et al.  An algorithm for suffix stripping , 1997, Program.

[66]  Christopher M. Danforth,et al.  Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter , 2011, PloS one.

[67]  D. Meyer,et al.  Supporting Online Material Materials and Methods Som Text Figs. S1 to S6 References Evidence for a Collective Intelligence Factor in the Performance of Human Groups , 2022 .

[68]  J. Henrich.  Demography and Cultural Evolution: How Adaptive Cultural Processes Can Produce Maladaptive Losses—The Tasmanian Case , 2004, American Antiquity.

[69]  Jonah A. Berger,et al.  How adoption speed affects the abandonment of cultural tastes , 2009, Proceedings of the National Academy of Sciences.

[70]  Jesse Graham,et al.  Concepts of Happiness Across Time and Cultures , 2013, Personality & social psychology bulletin.

[71]  Duncan J. Watts,et al.  Everyone's an influencer: quantifying influence on twitter , 2011, WSDM '11.

[72]  Quentin D. Atkinson,et al.  The role of writing and recordkeeping in the cultural evolution of human cooperation , 2013 .

[73]  Carlo Strapparava,et al.  WordNet Affect: an Affective Extension of WordNet , 2004, LREC.

[74]  James W. Pennebaker,et al.  Linguistic Inquiry and Word Count (LIWC2007) , 2007 .

[75]  A. Okun,et al.  Prices and Quantities: A Macroeconomic Analysis , 1982 .

[76]  Philip Garnett,et al.  The Expression of Emotions in 20 th Century Books , 2015 .