mining bea data by jeannine aversa and thomas dail

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Thomas Dail and Jeannine Aversa U.S. Bureau of Economic Analysis April 4, 2013 Mining BEA Economic Data to Break Local Stories

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Page 1: Mining BEA Data by Jeannine Aversa and Thomas Dail

Thomas Dail and Jeannine Aversa U.S. Bureau of Economic Analysis

April 4, 2013

Mining  BEA  Economic  Data  to  Break  Local  Stories    

 

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www.bea.gov  

Where  to  Begin?  

§  You  might  have  a  hunch  about  something  that  is  happening  in  your  local  economy.  Or,  you  are  on  the  hunt  for  a  compelling  data  point  to  build  a  story  around.    

§  Either  way,  if  you  are  willing  to  take  the  =me  to  analyze  BEA’s  interac=ve  database  of  local  economic  sta=s=cs,  the  odds  are  good  that  you  will  come  away  with  an  enterprising  story.    

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Our  Story  

§  Before  we  dig  in,  we  want  to  tell  you  a  liBle  about  ourselves.  

§  I’m  Jeannine  Aversa,  I’m  chief  of  public  affairs  and  outreach  at  the  BEA.  Before  I  joined  the  bureau  in  September  2011,  I  worked  as  a  journalist  for  nearly  30  years.  For  more  than  a  decade,  I  was  The  Associated  Press’  chief  economics  writer,  covering  the  Federal  Reserve,  the  Treasury    Department,  the  IMF,  World  Bank  and  of  course  –  all  the  major  economic  indicators!    

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Our  Story  

§  I’m  Tom  Dail,  and  I’m  a  public  affairs  specialist  at  the  BEA.    I  bring  a  dozen  years  worth  of  experience  in  newspaper  repor=ng  and  in  public  rela=ons.  Before  joining  the  bureau,  I  covered  poli=cs  and  business  for  Freedom  Communica=ons  in  North  Carolina  

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Today’s  Goals  

§  We  will  walk  you  through  the  types  of  local  economic  sta=s=cs  BEA  has  available  on  its  public  website  and  their  importance.  

§  We  will  dissect  several  news  stories  using  BEA  sta=s=cs  and  tell  you  how  to  find  them.  

§  We  will  ask  you  to  mine  BEA’s  database  for  specific  data  points.    

   

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Where  to  Begin?  

§  From  BEA’s  public  website  (www.bea.gov),  you  can  access  a  treasure  trove  of  local  economic  sta=s=cs  by  using  our  interac=ve  database.  

§  Want  to  find  out  how  fast  your  local  economy  is  growing?  The  forces  suppor=ng  growth  or  restraining  it?  You’ll  want  to  analyze  Gross  Domes=c  Product  sta=s=cs    that  BEA  produces  by  state  or  metro  area.  

 

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Where  to  Begin?  §  Want  to  find  out  how  much  

people  in  your  state,  county  or  metro  area  earn?  Which  industries  are  paying  more  or  less?    

§  How  much  is  paid  in  Social  Security,  Medicare,  unemployment  insurance  and  other  government  benefits?    

§   Then  you’ll  want  to  troll  through  our  income  sta=s=cs  by  state,  county  or  metro  area.  

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www.bea.gov  

Where  to  Begin?  

§  By  analyzing  BEA’s  local  economic  data,  you’ll  be  able  to  spot  trends  and  gather  historical  context.  You  might  unearth  data  points  that  run  counter  to  “conven=onal  wisdom”  –  useful  in  producing  a  myth-­‐bus=ng  story.    

§  Before  you  dive  into  BEA’s  database,  you  probably  will  want  to  take  =me  to  scan  the  local  economic  reports  we  produce.  

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www.bea.gov  

Where  to  Begin?  

A  sampling  of  our  published  reports:  §  GDP  by  Metro  Area.  

Sta=s=cs  for  2011.  Released  Feb.  22  

§  State  Quarterly  Personal  Income.  Final  quarter  of  2012.    March  27  release  date.    Quarterly  sta=s=cs  for  2013  released  June  28,  Sept.  30  and  Dec.  19.    

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Where  to  Begin?  

A  sampling  of  our  published  reports:  §  GDP  by  State.  Sta=s=cs  for  

2012.  June  6,  release  date.  §  Local  Area  Personal  

Income.  Sta=s=cs  for  2012.    Nov.  21  release  date.    

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Anatomy  of  a  Story  

§  “Bad  Luck  and  Hard  Times  on  the  Menu  at  a  Bus  Terminal  in  West  Virginia,”  The  New  York  Times,  May  11,  2011.  

§  Uses  BEA  data  to  unearth  this  sta=s=c:  manufacturing  jobs  fell  by  nearly  40  percent  in  West  Virginia  since  1990.  

§  Built  story  around  this  data  point  by  examining  the  ripple  effect  of  those  job  losses  on  the  West  Virginia  town  of  Weirton.      

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Finding  the  Data  

§  We’re  going  to  walk  you  through  how  to  find  these  data  point.  (Live  demo  takes  place  here,  accompanied  by  handout  of  instruc=ons.)  

 §  Now  it’s  your  turn.    Exercise  1.  Find  the  rate  of  growth  or  

decline  in  manufacturing  jobs  located  in  the  Louisville  metro  area  from  2001  to  2011.    

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www.bea.gov  

Anatomy  of  a  Story  

§  “Trade-­‐linked  service  jobs  help  lead  El  Paso  income  gains”  

§  El  Paso  Times,  Sept.  5,  2012  

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Anatomy  of  a  Story  

§  Reporter  used  BEA  data  as  the  basis  for  the  story  but  fleshed  it  out  by  talking  to  local  experts.  

§  El  Paso's  per-­‐capita  income  grew  4  percent  per  year  from  2001  through  2010  while  na=onal  per-­‐capita  income  grew  2.8  percent.    

§  Growth  was  aBributed  to  finance,  real  estate  and  management  =ed  to  cross-­‐border  trade  and  manufacturing  growth  in  Mexico.  

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Finding  the  Data  

§  We’re  going  to  walk  you  through  how  to  find  these  data  points.  (Live  demo  takes  place  here,  accompanied  by  handout  of  instruc=ons.)  

§  Now  it’s  your  turn.    Exercise  2.  Per  capita  personal  income  growth  for  the  El  Paso  metro  area  2001-­‐2010.  Find  the  increase  in  employment  in  finance,  real  estate,  and  professional  services  over  that  =me.    

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Anatomy  of  a  Story  

§  “Wealth  Rises  in  America’s  Heartland”  USA  Today,  Nov.  27,  2012.  

§  Here’s  an  example  of  how  reporters  can  analyze  BEA’s  local  economic  data  to  produce  a  na=onal  story.  

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Anatomy  of  a  Story  

§  USA  Today  analyzed  BEA’s  per-­‐capita  personal-­‐income  data  for  metro  areas  and  for  coun=es.    (Note:  USA  Today  adjusted  BEA’s  figures  for  infla=on.)    

 §   Bridgeport-­‐Stamford,  Conn.,  metro  area  had  income  of  

$78,504  per  person  in  2011,  the  most  affluent  place  in  the  country  in  the  past  decade,  USA  Today  reported.    

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www.bea.gov  

Finding  the  Data  

§  We’re  going  to  walk  you  through  how  to  find  these  data  points.  (Live  demo  takes  place  here,  accompanied  by  handout  of  instruc=ons.  

§  Now  it’s  your  turn.    Exercise  3.  Find  per-­‐capita  personal  income  for  all  metro  areas.  Rank  them.  Where  does  Louisville  stand?    

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Anatomy  of  a  Story  

§  Houston  tops  list  for  fastest  growth  

§  Houston  Chronicle,  February  22,  2013    

§  Based  on  the  metro  GDP  report  released  in  late  February,  the  author  spoke  to  a  local  expert  to  dig  into  the  details  of  the  local  story.  

§  Infla=on-­‐adjusted  gross  domes=c  product  for  Houston-­‐Sugar  Land-­‐Baytown  increased  3.7  percent  in  2011.    

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www.bea.gov  

Finding  the  Data  

§  We’re  going  to  walk  you  through  how  to  find  these  data  points.  (Live  demo  takes  place  here,  accompanied  by  handout  of  instruc=ons.)  

§  Now  it’s  your  turn.    Exercise  4.  Find  overall  real  GDP  for  the  Houston  metro  area  in  2011.  Find  Houston-­‐metro  real  GDP  growth  for  construc=on.  

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Anatomy  of  a  Story  

§  “A  Tricky  Science,”  Durango  Herald,  Oct.  7,  2012  §  “The  USA  Pro  Cycling  

Challenge  brought  world  media  to  Durango  as  well  as  thousands  of  spectators.  But  it’s  unclear  how  much  special  events  such  as  the  bicycle  race  help  the  economy.”  

 –  Durango  Herald  

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Anatomy  of  a  Story  

§  Reporter  dissects  a  regional  economic-­‐impact  study.  Turns  to  BEA’s  User  Guide  on  “RIMS  II”  Regional  Input-­‐Output  Mul=pliers  to  help  analyze  and  truth  squad  a  study.  

§  User  Guide  can  be  found  at  hBp://bea.gov/regional/rims/index.cfm      

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www.bea.gov  

Helpful  Videos  to  Find  Local  Data    

§  You  can  find  links  to  two  videos  on  how  to  find  more  local  BEA  data  at  hBp://bit.ly/econdata13.  §  How  to  find  employee  compensa=on  by  industry  for  a  given  county  

§  How  to  find  gross  domes=c  product  (total  goods  and  services  produced)  per  capita  in  a  metro  area  

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Where  to  Find  Us  

§  BEA’s  Media  Line:  202-­‐606-­‐2649  

§  Jeannine  Aversa,  chief  of  public  affairs  and  outreach.  [email protected].  202-­‐606-­‐9327  

§  Thomas  Dail,  public  affairs  specialist.  [email protected].  202-­‐606-­‐9209  

 §  h"p:/bit.ly/econdata13    for    workshop  slides,  videos,  

handouts