Seasonally Adjusted Data

Categories: Metrics

Dr. Electroid builds a new weather control device. As part of his evil plan for world domination, he dumps 50 inches of snow on Phoenix. We’re not sure how world domination follows from a big snowstorm in Phoenix, but uh...we’re sure Dr. Electroid knows what he’s doing. Meanwhile, Captain Condor flies from his secret superhero lair high up in the Sierra Nevada mountains. He captures Dr. Electroid, destroys the weather device, and saves the day.

Cut to...you. You're a researcher for the national weather service.You're locked in a basement of the Washington DC headquarters, with no windows and no other people, surrounded only by the blinking lights of weather measurement equipment. You don't have any cell phone reception or Internet access. All you know is that your equipment shows 50 inches of snow in Phoenix. You call your boss: “Phoenix is the snowiest place in the nation. Call the press! Get started on your game-changing academic paper on climate change!”

Uh, well...wait a minute. The 50 inches of snow doesn't indicate a real change in Phoenix's long-term snowfall. It's just a one-time event (in this case, caused by a supervillain). The lesson: you can't always trust raw data. Numbers need context. The need for context leads us to seasonally adjusted numbers. That is, the numbers get massaged to take into account the natural impact of the time of year.

For instance, the unemployment rate. This stat gets reported on a seasonally adjusted basis. Every year, going into Christmas, companies hire additional seasonal workers. Package delivery people need extra drivers. Amazon and other retailers need extra people to process orders. Malls need elves to put crying kids onto the laps of Santas. Suicide hotlines need extra people to take distressed calls from family dinners.

On an unadjusted basis, the unemployment rate would always decline headed into the holiday season. All these extra workers would lead to lower unemployment. Every year. But eventually, Christmas comes and Christmas goes. Everyone opens their presents and stuffs everything into closets for potential regifting next year. All the extra holiday workers are back on unemployment...at least until spring, when they can start lining up for summer gigs. Maybe jobs as lifeguards and stand-up comics on cruise ships.

So going into the holidays, every year would see a drop in unemployment with unadjusted data. And then, after the holidays, there would always be a rise in the unemployment rate. If the figure was reported this way, it would be hard to read. Much of the movement during this time of year would be a result of seasonal factors. The unadjusted statistics wouldn’t mean much as an economic indicator. It would be hard to see what's really going on in the actual economy, aside from the usual ticks up and down. Is this year better than last year? How does this year stack up historically? How's the labor market really doing? It would be hard to tell. Much of the data would represent seasonal noise.

So economists strip out the seasonal movements. They make guesses based on what’s happened before about what the data should do as a result of these seasonal factors. They then take these seasonal moves out, and only report the changes that don’t have to do with seasonal workers.

Theoretically, this seasonally adjusted data doesn't include the moves in unemployment that come from the holiday staffing. Instead, the numbers track the underlying health of the labor market…like they’re supposed to do. Of course, if you spend your winters as a mall Santa, your springs dressed like the Easter Bunny, your summers as a snow cone salesperson, and your autumns as a jack-o-lantern carver, you might never get counted in the seasonally adjusted numbers.

Related or Semi-related Video

Econ: What is Seasonally Adjusted Data?0 Views

00:00

And finance Allah Shmoop What is seasonally adjusted data or

00:06

S a D or sad Dr Elek Troy did That

00:12

guy builds a new weather control advice as part of

00:15

his evil plan for world domination He dumps fifty inches

00:18

of snow on Phoenix We're not sure how world domination

00:21

follows from a big snowstorm in Phoenix but well you

00:25

know we're sure Dr Elek Troy knows what he's doing

00:27

Dumping snow in the desert Well one kind of seasonal

00:30

adjustment Not really the one we're talking about here but

00:33

we'll get to that in a sec Captain Condor this

00:35

guy flies from his secret layer the superhero lair high

00:40

up in the Sierra Nevada mountains He captures Doctor Elec

00:43

Troy destroys the weather device and saves the day Cut

00:46

to you You're a researcher for the National Weather Service

00:50

You're locked in a basement of the Washington D C

00:52

Headquarters with no windows and no other people here surrounded

00:55

only by the blinking lights of whether measurement equipment You

00:59

don't have any cell phone reception or Internet access for

01:02

you All you know is that your equipment shows fifty

01:05

inches of snow in Phoenix You call your boss the

01:07

Phoenix is the snowiest place in the nation called the

01:10

press Get started on your game Changing academic paper on

01:14

climate change Well wait a minute The fifty inches of

01:17

snow doesn't indicate a really change in Phoenix is long

01:21

term snowfall It's just a one time event in this

01:23

case caused by a super villain you know as sometimes

01:26

happens art lesson here you can't always trust raw data

01:30

Numbers need contacts right The need for context leads us

01:35

to relying on seasonally adjusted numbers So yeah sometimes raw

01:39

data uncooked data It's very unhealthy to eat can be

01:43

misleading To counteract this fact while some economic information gets

01:46

reported on a seasonally adjusted basis that is the numbers

01:50

get massaged to take into account the natural impact of

01:53

the time of year For instance the unemployment rate well

01:56

This stat gets reported on a seasonally adjusted basis Every

02:00

year going into Christmas companies hire additional seasonal workers Package

02:04

delivery People need extra drivers Amazon and other retailers need

02:09

extra people to process orders Malls need elves to put

02:12

crying kids onto the lapse of Santa's suicide Hotlines need

02:16

extra people to take distress calls from you know family

02:19

dinners on an unadjusted basis the unemployment rate would always

02:23

decline Headed into the holiday season all these extra workers

02:26

would lead to lower unemployment data every year But eventually

02:30

Christmas comes and Christmas goes Everyone opens their presence and

02:34

while stuffs everything into closets for potential re gifting next

02:38

year Yeah Bob we're looking at you All the extra

02:40

holiday workers are back on unemployment at least until spring

02:43

when they can start lining up for summer gigs Yeah

02:46

another season like maybe they get jobs as lifeguards or

02:49

stand up comedians on cruise ships So going into the

02:53

holidays every year would see a drop in unemployment with

02:55

unjust ID data And then after the holidays there would

02:58

always be a rise in the unemployment rate Well if

03:01

the figure was reported this way it would be hard

03:04

to read much of the movement during this time of

03:06

year would be a result of seasonal factors The unadjusted

03:09

statistics wouldn't mean muchas well any kind of economic indicator

03:14

It would be hard to see what's really going on

03:16

in the actual economy from these numbers Aside from the

03:18

usual ticks up and down well is this year better

03:20

than last year How does this year's stack up historically

03:23

How's the labor market really doing Yeah it'd be hard

03:26

to tell Much of the data would represent seasonal noise

03:29

So the economist strip out the seasonal movements They make

03:32

guesses based on what's happened before About what the data

03:35

should do is a result of these seasonal factors They

03:38

then take the seasonal moves out and only report the

03:41

changes that don't have to do with seasonal workers Instead

03:45

the numbers tracked the underlying health of the labor market

03:47

like they're supposed to Well of course if you spend

03:50

your winters as a mall Santa you're springs dressed like

03:54

the Easter Bunny your summers as a snow cone sales

03:57

person and you're autumns as a Jack o lantern carver

04:00

wealth And you might never get counted in any seasonally 00:04:03.72 --> [endTime] adjusted numbers so you know good for you

Find other enlightening terms in Shmoop Finance Genius Bar(f)