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adoption (version 0.6.4)

Technology: Technology Adoption

Description

Technology adoption by households in the United States, available from https://ourworldindata.org/technology-adoption, published by Hannah Ritchie and Max Roser.

NOTE THAT THE DATA ARE PUBLISHED UNDER THE CC-BY LICENCE (2019), https://ourworldindata.org/technology-adoption, WHOSE POLICY MUST BE STRICTLY FOLLOWED, SEE ALSO THE NOTE BELOW.

Usage

data(technology)

Arguments

Format

The data is a list of data frames, each data frame contains the percentage of adoption and the year.

Details

The list elements are

Automatic.transmission

Automatic transmission vehicle in percentage of car output.

Automobile

Percentage of US households that own an automobile.

Cable.TV

Percentage of US households with cable TV.

Cellular.phone

Percentage of US households with a cellular phone.

Central.heating

Percentage of American dwelling units with central heating.

Colour.TV

Percentage of US households with colour TV.

Computer

Computer: Adoption rates of computers by US households.

Dishwasher

Adoption rates of dishwashers in US households.

Disk.brakes

Disk brakes in the percentage of car output.

Dryer

Adoption rates of dryers in US households.

Ebook.reader

Percentage of US adults who own an Ebook reader.

Electric.Range

Adoption rates of electric ranges in US households.

Electric.power

Percentage of US households with electric power.

Electronic.ignition

Cars with electronic ignition in percentage of car output.

Flush.toilet

American households with access to a flush toilet.

Freezer

Diffusion rates of freezers in the US economy.

Home.air.conditioning

Home air conditioning: Percentage of US households with home air conditioning.

Household.refrigerator

Percentage of US households that own a refrigerator.

Internet

Percentage of US households with access to the internet.

Iron

Diffusion rates of ironers in the US economy.

Landline

Percentage of US households with a landline.

Microcomputer

Percentage of US households with microcomputers.

Microwave

Diffusion rates of microwaves in the US economy.

Nox.pollution.controls

Percentage of boilers adopting Nox pollution control technologies.

Podcasting

Percentage of Americans aged 12 or older who have listened to a podcast (ever)

Power.steering

Power steering in vehicles in percentage of car output

RTGS.adoption

Adoption rate of RTGS technology.

Radial.tires

Cars with radial tires in percentage of car output.

Radio

Percentage of US households that own a radio.

Refrigerator

Diffusion rates of refrigerators in the US economy.

Running.water

Percentage of households with running water

Shipping.container.port

(Shipping container port infrastructure) Percentage adoption of port infrastructure.

Smartphone.usage

Percentage of US adults who own a smartphone.

Social.media.usage

Percentage of US adults who use at least one social media site.

Stove

Percentage of US households with a stove.

Tablet

Percentage of US adults who own a tablet.

Television

Adoption rates of TV by US households.

Vacuum

Diffusion rates of vacuums in the US economy.

Videocassette.recorder

Adoption rates of videocassette recorders by US households.

Washer

Diffusion rates of washers in the US economy.

Washing.machine

Percentage of US households that own a washing machine.

Water.Heater

Diffusion rates of water heaters in the US economy.

References

General

According to the licence, the references given by Max Roser and co-workers are repeated and completed where possible:

  • Bech, M.L., Hobijn, B. (2006), Technology diffusion within central banking: the case of real-time gross settlement. Staff report. Federal Reserve Bank of New York, 260.

  • Bowden, S., Offer, A. (1994) Household appliances and the use of time: the United States and Britain since the 1920s. Economic History Review, 47 725--748.

  • Comin, D., Hobijn, B. (2004) Neoclassical Growth and the Adoption of Technologies. Working paper 10733. National Bureau of Economic Research.

  • Dediu, H. (2004)

  • Felton, N NTY (2014)

  • Greenwood, J., Seshadri, A., Yorukoglu (2005) Engines of Liberation The Review of Economic Studies, 72, 109--133.

  • Gruebler, A. (1990) The Rise and Fall of Infrastructures: Dynamics of Evolution and Technological Change in Transport; Physica-Verlag Heidelberg.

  • Isard (1942) A Neglected Cycle: The transport-building cycle. The Review of Economics and Statistics 24, 149--158.

  • Lebergott, S. (1976) The American Economy: Income, Wealth and Want; Princeton University Press, Princeton.

  • Lebergott, S. (1993) Pursuring Happiness: American Consumers in the Twentieth Century. Princeton University Press, Princeton.

  • Nielsen Television Audience (2008)

    See also Nielsen Television Audience (2010--2011) https://robertoigarza.files.wordpress.com/2008/10/rep-television-audience-2010-11-nielsen-2011.pdf

  • Pew Research Centre https://www.pewresearch.org/internet/datasets/

  • Popp, D. (2010) Exploring links between innovation and diffusion: adoption of NO x control technologies at US coal-fired power plants. Environmental and Resource Economics, 45, 319--352.

  • Popp, D., Hafner, T., Johnstone, N. (2007) Policy vs. Consumer Pressure: Innovation and Diffusion of Alternative Bleaching Technologies in the Pulp Industry. Working Paper. National Bureau of Economic Research 13439.

  • Rua, G. (2013) Fixed costs, network effects, and the diffusion of container shipping. Federal Reserve Board. https://cpb-us-west-2-juc1ugur1qwqqqo4.stackpathdns.com/sites.udel.edu/dist/2/425/files/2013/10/GRua_Containers_103113-1ymozt3.pdf

  • The New York Times (2008) How Americans spend their money. https://archive.nytimes.com/www.nytimes.com/imagepages/2008/02/10/opinion/10op.graphic.ready.html

  • US Census Bureau's data (1992--2011) https://www.census.gov/programs-surveys/decennial-census/data/datasets.2010.html

Examples

Run this code
# NOT RUN {
data(technology)
D <- technology$Microwave
indviduals <- 500
if (interactive())
  adoption(startwith=1, cumdata=round(indviduals * D$adoption / 100),
           dt=1, Tstart=D$year[1])

# }
# NOT RUN {

# }

Run the code above in your browser using DataLab