ShmoopTube

Where Monty Python meets your 10th grade teacher.

Search Thousands of Shmoop Videos

Macroeconomics: Unit 3, Productivity 0 Views


Share It!


Language:
English Language

Transcript

00:01

no macro economics Allah shmoop productivity All right people you

00:08

sit down to write your final paper You've got one

00:11

hand on your keyboard and the other on your well

00:13

extra large coffee mug there But you can't bring yourself

00:17

to start writing You spend hours just staring at the

00:20

screen with your fingers doing you know that awkward dance

00:24

Then there's a ding like that Yu check yur Facebook

00:28

notifications and you're sucked into the vortex of finding out

00:32

which friends character you are Well there's no escape Your

00:35

productivity just tanked And you khun say goodbye to finishing

00:39

your paper You can always retake the course next year

00:42

which is such a phoebe thing to dio All right

00:44

you measure your own writing productivity in words Words per

00:47

minute words per hour Words per day Well guess what

00:51

Economist meter and or measure the productivity of an economy

00:55

more or less the same way by looking at the

00:57

volume usually in dollars of output each unit of an

01:01

input produces All right How do we say that in

01:04

English Well how many cars can given person working one

01:08

day at an auto manufacturing company produced how many coffees

01:11

work of beans Can the new grindr churn out per

01:14

day How many balloons gloves and condoms on a gallon

01:19

of latex make productivity of latex Yeah well the big

01:22

driver in most economies is the deployment of capital Resource

01:26

is I mean machines that cost a lot and then

01:29

you know produce a lot And generally speaking the more

01:32

tech savvy the machine on the more productivity it produces

01:36

Well economists breakdown productivity into a couple of different structured

01:40

metrics The Bureau of Labor Statistics reports all kinds of

01:43

data relative the labors productivity in the previous period usually

01:47

1/4 like 13 ish weeks This measurement quantifies the productivity

01:52

of all workers across all industries in an economy I'II

01:55

super general and broad Well that stat is found by

01:59

measuring the ratio between the value of all the goods

02:02

and services produced a VP and the total hours humans

02:07

worked to produce those goods and services Why the little

02:12

snarky humans thing in there Well because yeah like we've

02:15

noted a revolution in labor is taking place today that

02:19

will rival that of the Industrial Revolution of the 19th

02:22

century Because Computer Power's gotten Sochi and standardized well robots

02:28

have gotten sheep as well and smart And very soon

02:31

the skill set of a basic burger flipping worker will

02:34

become economically replaced by robots and a mass dislocation of

02:39

the usefulness of the lower end of the labor force

02:43

Will for society to do some heavy thinking about what

02:46

it does for the unskilled want to work but aren't

02:49

talented enough Workers Yeah well the data here for labor

02:54

productivity presented is for non farm business Why Why nonfarm

03:00

What do they have against Farm's Well many farms employ

03:03

migratory laborers and undocumented immigrants Records may be absent because

03:10

workers were paid in cash to keep things you know

03:12

off the books And the industry in general operates with

03:15

different structures and pricing pressures than most urban businesses Labor

03:20

productivity therefore is often reported for farm and then for

03:24

non farm business payrolls Separately we'll labor productivity doesn't just

03:30

vary by industry Certain groups and types of people are

03:33

more productive than others After an earthquake in the late

03:36

19 nineties much of the U S Highway 10 that

03:39

thing in L A There it is was destroyed well

03:43

To rebuild the roads union workers would have required 144

03:47

people per freeway mile while nonunion workers found a way

03:52

to do it with just 89 people Will the labor

03:55

per dollar of the average nonunion worker was higher than

03:59

a union workers because they don't need the layers of

04:02

support bureaucrats Which is to say that they can pour

04:05

their own coffee They can fill out their own time

04:08

sheets They can click on their own for a one

04:10

K investment choices and so on Productivity can change over

04:15

time as well and not just because everyone decides that

04:18

now they have to hunker down and really start churning

04:20

products out Advancements in technology investments in better and more

04:25

efficient plants and equipment and better management and organization all

04:30

improve productivity Well one thing Cos Evaluate is marginal productivity

04:35

Like for each incremental unit of labor What do I

04:38

get for each incremental unit of capital What do I

04:42

get Okay so all this brings us to total factor

04:46

productivity or T f p or All right So what

04:50

is this factor thing And that we're now adding like

04:52

Max factor the makeup No more like the X factor

04:58

Total factor productivity also called the solo residual spell it

05:03

no relation Hans represents changes in productivity caused by better

05:07

tech and different organizational strategies So basically it has to

05:11

do with the process of production rather than the inputs

05:14

Create a more efficient process and you'll be able to

05:18

use your resource is better I e make more with

05:21

less And yes Henry Ford's assembly line People were looking

05:25

at you Yeah it was a big innovation back then

05:27

Well you can picture how all this works with technology

05:30

like Well say your boss wants you to write a

05:33

report about a location where the company might open a

05:35

new store Well the 1958 you'd have to go to

05:38

the library Look up Demographic stats In a book you

05:41

might have to call around various agencies to get data

05:43

Wait for everyone to call you back Once you have

05:45

your research you type it up on a manual typewriter

05:48

You know one of these old fangled contraptions If you

05:51

wanted to edit something or add something well you'd have

05:53

to re type the whole thing That's going to create

05:55

enough documents to give everyone for the next meeting Well

05:58

you have to go to a printer and get copies

06:00

made by an expert Well nowadays you can do all

06:03

your research online Type it up on a word processor

06:06

is Aaron while just email copies to everyone like right

06:09

there much more efficient And you Khun get several reports

06:12

done today in the time it took you to generate

06:15

on Lee maybe one in 1958 Well there are other

06:19

ways to squeeze out additional productivity other than via technology

06:23

or at least this kind biz School grads loved to

06:26

come up with a handy dandy How to guides to

06:28

streamline business Here's a particularly famous example of one of

06:32

these processes meant to boost productivity Thie agile development cycle

06:38

Yeah we use it here tomorrow It's a six step

06:40

framework for teams working on projects together to streamline their

06:43

processes And there are not surprisingly six steps Yes denial

06:48

anger bargaining different first plan then you designed Then you

06:53

develop Then you test then you evaluate Then you meet

06:57

all that simple right well But every Silicon Valley startup

07:00

manager and their mother uses this workflow process to increase

07:04

productivity and efficiency The idea is to lay out the

07:06

process in discreet steps so that everything is as clear

07:10

as possible Otherwise it becomes and disorganized Hot project Yeah

07:14

it's kind of like when you do laundry like the

07:17

people in Silicon Valley don't want to end up you 00:07:20.311 --> [endTime] know losing socks that's what we do

Up Next

Jane Eyre Summary
123033 Views

When you're about to marry the love of your life, not many things could stop you. However, finding out that your future hubby is keeping his crazy...

Related Videos

What is Shmoop?
91299 Views

Here at Shmoop, we work for kids, not just the bottom line. Founded by David Siminoff and his wife Ellen Siminoff, Shmoop was originally conceived...

ACT Math 4.5 Elementary Algebra
492 Views

ACT Math: Elementary Algebra Drill 4, Problem 5. What is the solution to the problem shown?

AP English Literature and Composition 1.1 Passage Drill 1
1039 Views

AP® English Literature and Composition Passage Drill 1, Problem 1. Which literary device is used in lines 31 to 37?

AP English Literature and Composition 1.1 Passage Drill 2
683 Views

AP® English Literature and Composition Passage Drill 2, Problem 1. What claim does Bacon make that contradicts the maxim "Whatsoever is delig...