Equality, Quality, Big data Flashcards

1
Q

Weights?

A
  • Given price data – how to combine into index?
  • Unweighted averages of various sorts - Carli, Dutot, Fleetwood, Shukburgh-Evelyn : prices 1050-1800
  • Laspeyres and Paasche – need quantities
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2
Q

Expenditure weights?

A
  • Emerged in early 20th C. – linked to measures of cost of living for working class
  • First UK comprehensive expenditure survey – 1904 survey of HH expenditure
  • Food items important – inc quality and p info
  • 1913 – enquiry into working class rents and retail p
  • Used to adjust wages to changes in cost of living during WW1
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3
Q

Living cost and food survey?

A
  • Address based sample of HH
  • Primary Sampling Unit is post code sector – total of 638 per year – 12 monthly waves
  • Within each PSU, 18 addresses are chosen (interviewer quota), PSU’s are stratified sample using –
    1. Regions – 12
    1. Socio-economic group – 4 bands according to proportion of HH whose head was in professional/managerial occupation
    1. Car ownership – PSU sorted in order of proportion of HH w no car
  • Unit of sampling is a HH – HH comprises one or more persons (not necessarily related) living at same address sharing cooking facilities and a living/sitting/dining room
  • About 12,000 in a sample
  • Main aim of LCF to find out expenditures by each HH for each category (COICOP, group, class or sub-class)
  • Face to face interview to collect regular expenditure (utilities such as mortgage, insurance etc.), followed by self completion diary recording expenditures for HH for 2 week period
  • Survey doesn’t measure prices paid by HH or quantities, except in cases where one unit purchased
  • Equivalised HH – adjust for HH size and composition
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4
Q

Latest reprot - family spending in UK - April 2018 to March 2019

A
  • Avg weekly HH expenditure in UK £585.60 – highest since financial yr ending 2005 after adjusting for inflation
  • Transport was category w highest avg weekly spend of 14% off HH avg total weekly
  • Highest in London and South East, spending in North East the lowest
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5
Q

Plutocratic v Democratic weights?

A
  • Long debate over how should weight expenditure shares
  • Plutocratic – add up expenditures across all HH, then divide into exp shares – in effect weights HH by their expenditure, rich more important – spendthrifts more than the thrifty savers
  • Democratic – divide into exp shares at HH level, average across HH – each HH has same weight – each person has smaller weight the bigger their HH

Can construct CPIH using either but doesn’t seem to make too much difference

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6
Q

What is a household?

A

The ONS defines it as
“A household is one person living alone, or a group of people (not necessarily related) living at the same address who share cooking facilities and share a living room, sitting room or dining area”.

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7
Q

To get the democratic measure, you can give the household a weight depending on the number of people (adults?), or the equivalised index?

A

“Equivalisation is a standard methodology that adjusts household income to account for the different financial resource requirements of different household types. Household size is an important factor to consider because larger households usually need a higher income than smaller households to achieve a comparable standard of living. The composition of a household also affects resource needs, for example, living costs for adults are normally higher than for children. After equivalisation has been applied, households with the same equivalised income can be said to have a comparable standard of living.

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8
Q

Expenditure shares by category of spending, by equivalised disposable income decile?

A

COICOP 3, 7, 9 and 11 are luxuries: the expenditure shares increase with income.(Clothing and Footwear; Transport; Recreation Sport and Culture; Restaurants and Hotels)

Rest decrease, except for 10 which is U shaped (Education)

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9
Q

Differences with CPI - uses UK domestic population?

A

using a measure of direct payments to calculate OOH
 using a measure of direct payments to calculate the cost of education (for example, including tuition fees as they are paid for via student loan repayments, rather than including the upfront cost)
 using a measure of direct payments to calculate items that are paid for in advance (for example, package holidays, airfares and cultural events)
 including the full cost of insurance premiums without accounting for the value of insurance claims received (or deducting expenditure using insurance claims received from the relevant items, instead of insurance itself; for example, expenditure on new cars would be adjusted to exclude any expenditure on new cars that resulted from an insurance claim to avoid double-counting this expenditure)
 including the cost of interest on all debt (for example, mortgage interest and interest on credit cards and loans)
 including the cost of goods bought second-hand without taking into account goods sold (such that household-to-household transactions are included as a cost)
 including items that are seen as saving in traditional consumer price index methodology (such as capital housing costs, savings and pension contributions)

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10
Q

How do you measure changes in quality?

A

In the SR ignore it, it doesn’t matter - inflation primarily a matter for contemporary economic policy

But in LR a lot of little changes accumulate - inflation measures are used for indexation of pensions and benefits - a retiree may be relying on a pension for 30 years or more

Am I earning more or less than I was 30 years ago, or 10 years ago? Very relevant fo r understanding the observation that median hourly real wages have not increased in theUS since the 70s (or in the UK since 2008).
Is the UK productivity slowdown simply a reflection of the fact that we are not measuring quality correctly?

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11
Q

Official Line?

A

Within the item specification, the specific products chosen are from amongst the most popular (in that location and/or shop). When there is a change of product (for example, when you change shop the previous brand is not available), the collector is supposed to choose a replacement product that is of the same quality.

If a product is temporarily out of stock, the collector chooses a substitute (using codesN,C,T,M) on the basis of “similar quality and quantity”.

When there is a new product with a new price, you can do one of several things, including
(a) Treat it as a pure price change. Assume that the quality is the same.
(b) Treat it as a pure quality change. Assume the price difference reflects difference inequality: “true price” unchanged (price per unit quality).
(c) Where there is a only a change in “size”, use unit price to link the old and new(shrinkflation)

Really very simple: ONS uses options (a) and (c). No explicit account is taken for quality changes. Except for a limited range of goods

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12
Q

Hedonics?

A

Dates back to 1939, Andrew Court: used to measure quality change in automobiles (Ford motor company in US). Used in Housing indices in UK and elsewhere.

CPI3 and CPIH: Used for smartphones, PCs, Tablets.

Method: You take a list of “value determining characteristics” (for PCs, processor speed, memory, hard drive etc.). Each month, you run a pricing regression (a log-linear regression of actual price on these characteristics). This enables you to obtain a“predicted price”, which is a measure the quality. Two PCs with the same predicted price are judged to have the same quality

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13
Q

Hedonics - how to use?

A

When you calculate price relatives with respect to previous January, you adjust for quality change:

For example, the July price relative for PCs is the ratio of the July price of the PC, divided by the quality adjusted value of the base price.

Quality adjusted base price is actual price multiplied by the ratio of the predicted price of the July PC divided by the predicted price of the January PC (using the July hedonic estimates). This increases the nominal price of the base year, reducing the price relative(and hence inflation).

Hedonic estimation is very labour and data intensive, so only used where there is fast changing quality variation. Could be used for lots of other products (washing machines, cars), but is not done because too expensive.

In the US, the Bureau of Labour Statistics (BLS) which computes the US CPI uses hedonics much more

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14
Q

Services?

A

Notoriously difficult to measure as an output and to capture changes in quality

Are funeral directors, priests, doctors more efficient than 20 years ago?

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15
Q

Services - in practice?

A

Item descriptions fairly general - if we look at national income accounts, there are some examples of quality adjustment but quite rare

Most common to measure quality by their ‘output’ or outcome, or input (costs of provision)

In national accounts, an adjustment made for output of secondary education in terms of increasing GCSE grades - output assumed to increase at 0.25% per annum

Lots of suggestions (health outcomes, survival rates) nothing much done

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16
Q

Clothing and footwear?

A

Notoriously difficult, fashion plays a large role and there is strong seasonality

Formula effect plays havoc

“Where goods and services are pretty similar – potatoes, for example – the different formulas make almost no difference. But where items are difficult to define – a black floral dress sells for £20 in Primark and £565 in Harvey Nichols – the RPI formula will always suggest inflation is higher. For the category of Clothing and Footwear, the importance o fthe formula has become so large that the RPI measure stood at 12.6 per cent in October, while the CPI showed inflation of only 3.6 per cent.

ONS changed its instructions to collectors, allowing them more freedom in choosing brands - result was a jump in price dispersion that lead to large formula effect

17
Q

Implication for CPI?

A

thus far seems CPI may be bad for making longer term comparisons

Boskin Commission 1995 (USA). CPI overstated inflation by about 1.1 percentage points per year in 1996 and about 1.3 percentage points prior to 1996.US CPI was more like RPI (arithmetic elementary aggregation) and infrequent updates of the consumer basket. However, even when you remove these practical issues, there is still the unobserved quality improvement, which was about 0.6% per year (concentrated in certain sectors such as electrical goods and appliances, hospital services).

18
Q

Productivity puzzle - mis-measurement of prices?

A

Since very little in CPI to adjust for quality, we are almost certainly overstating inflation
Hence productivity and real wage growth higher than we think
However, been going on for a long time - only explains productivity puzzle if BIG increase in effect since 2007 - also effect more marked in UK
Unlikely - productivity affected by low investment, slow diffusion of tech - digital revolution has limited effect in terms of coverage across CPIH - but important for some sectors, telecoms there has been a much bigger effect than in conventional approach

19
Q

Changes in variety?

A

CPI doesn’t make allowance for change in variety of G/S
Over time, variety has increased dramatically - can increase welfare as can get exactly what you want
e.g., number of tv programmes
e.g., coffee - until 90s mostly instant

If variety makes you better off, means the cost of living falls even if prices remain same

20
Q

Big data?

A

Sources of large scale transactions and/or price data

 Store scanner data: From check out machines that record every transaction (product, price, quantity, discounts, date, time).
 Household scanner data: Kantar World Panel. Households scan details of purchases using home scanner on receipts or telephone app.
 Web: prices

Traditional CPI uses price quotes (not transactions prices) and does not use quantity data(because it was unavailable) but instead expenditure shares.We have already seen increasing use of web sourced data on prices.

21
Q

Store scanner data?

A

Detailed data on sales of consumer goods obtained by ‘scanning’ the bar codes for individual products at electronic points of sale in retail outlets. The data can provide detailed information about quantities, characteristics and values of goods sold as well as their prices” (OECD).

The prices in scanner data may differ from the price quotes obtained in traditional collection methods or by web-scraping. They are the “unit price” implied directly from the transaction data (dividing expenditure by quantity).

The early adapters include Norway and the Netherlands, but many other NSIs are well advanced in utilising store scanner data for parts of COICOP – including France, Finland,Iceland, Italy, Australia and New Zealand.

22
Q

Using store scanner data?

A

Ability to use this information depends very much on legislative setting. In these countries there is legal obligation on retailers to provide information to NSIs

Global Trade Item Number (GTIN): information in bar code is given to every product(stores often have their own PLU (price look up code).

Need to have IT system to link GTIN to COICOP at required level (COICOP 5 or 6).

Very comprehensive data source BUT.
Limited in terms of COICOP coverage.
Very good for Grocery items, pharmacy, some electronic goods. The COICOP coverage is at most 25-30%
This leaves the bulk of household expenditure outside the range captured by store scanner data.

Major COICOP divisions that would not be captured much if at all by store scanner data include restaurants and hotels, recreation and culture, and Housing, water, electricity, gas and other fuels.
However, if it is set up, it means that there is a lot of information that can be used to construct expenditure shares for a range of COICOP classes/sub-classes at low cost.

23
Q

Methodological issues - store scanner data?

A

The store scanner data can be high frequency: daily, weekly. Much more frequent than traditional annual expenditure data.
Many issues here. Some NSIs have exploited this. Can choose top six brands in a particular category, and allow the top six to vary month by month

24
Q

Dynamic indices?

A

Methodological issues with store scanner data led to development of ‘dynamic indices’

The Laspeyres, Paasche and Lowe like indices use fixed expenditure shares taken from a point in time. Dynamic indices allow for changing mixes and new products.

“Consumer electronics is a rapidly changing product class, so it is particularly important that we use methods that will appropriately adjust for the change in quality of the products purchased. Also, because consumer electronics products can have short life-cycles, it is important to introduce new products into the index in such a way that the implicit price movement associated with their introduction is appropriately reflected in the index. That is, if a new product has a low introductory price, relative to its set of features, then the price index should reflect this price decrease.”

25
Q

Web-scaping of prices?

A

This is an extension of traditional method, simply a different way of capturing rice-quotes which can be quite cheap.
Can increase frequency to weekly, daily and higher frequency

26
Q

Billion dollar prices project?

A

The Billion Prices Project is an academic initiative that uses prices collected from hundreds of online retailers around the world on a daily basis to conduct research in macro and international economics. It was founded in 2008 by Alberto Cavallo andRoberto Rigobon

In UK online and offline prices very similar according to Billion prices project

UK 91% of prices the same online and offline (highest in sample with Canada). 7% lower online, 2% higher. Japan and Brazil less than 50% are the same; US, Germany, Australia65-75% the same. On average across 56 countries, 72%.
Online shopping still a small proportion of total shopping (20% in UK), so can only use web scraping if online prices are the same as offline. Otherwise, need offline collection

26
Q

Home scanner data?

A

Store scanner data is not linked to households and so cannot use it for “democratic measures” of costs and prices.

Home scanner data is linked to households. Use same GTIN info to get unit prices for specific products.
Commercial home scanner panels: driven by commercial interest. Leave out key goods such as tobacco.
Also the consumer panel may ot e representative in the sense required by ONS: may concentrate on key demographics for marketing etc.
Some evidence of Panel fatigue: households put less effort into home scanning over time

The Kantar Panel and LCF expenditures have been compared: the home scanner data is different and often has under-reporting of expenditures.

27
Q

Summary of big data?

A
  1. Big data offers potential to process large quantities of information at low cost.
  2. Relies on cooperation of stores: perhaps possible in UK now there is digital economy act.
  3. BUT: limited in coverage – no more than 30% of COICOP. Still need traditional collection of expenditure data.
  4. In the future things may change. China: everyone using alipay/weechat. Perhaps when all payments are digital, can capture it all through apps?