Changes of Import Indexes

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Definition

Import indexes are an estimation of aggregate price changes from a base year. The Bureau of Labor Statistics sets the base year 2000 as 100. The other changes that exceed the value indicate increases above the year 2000 price aggregate. International Labour Office et al. (2009) define the price index as “a value ratio about two periods that measures the overall changes in prices between the two periods” (p. 358). The indexes measure the changes in aggregate prices that have occurred relative to the base year.

A 10-year analysis of significant changes

The Bureau of Labor Statistics (BLS) offers monthly indexes to changes in aggregate import prices. According to BLS (2014), import indexes increased from January 2003 towards June 2008 (see Appendix A). The values show combinations of increases and decrease a few months towards the end of 2008.

The annual trend shows a decline in 2009 (see Graph 1). In 2010, the values again resumed their steady incremental trend. There was a combination of increases and decreases between 2011 and 2012. In 2013, the values declined almost steadily from 140.1 in January to 137.9 in December (see Appendix A).

The indexes are expected to increase gradually because most countries have an annual inflation rate above 1%. It only becomes unusual when the values decrease. The rapid rise in 2007-2008 could have been caused by the credit boom in the U.S. before the financial crisis immediately after the boom.

The financial crisis resulted in a lower demand for goods and services. Financial institutions were restricting credit to only those with stable cash flows. Unemployment rates were higher, which reduced aggregate demand. Companies were eager to regain the same level of revenue that they had before the crisis. It became necessary to lower prices to maintain the desired revenue levels.

Exchange rates may cause changes in the import indexes. The 2013 decline could have been caused by changes in exchange rates (see Appendix B). Appreciation makes imports cheaper. According to Appendix C, the USD depreciated against major currencies. The graphs in Appendix C show that the USD depreciated against the Chinese yen, British pounds, Indian Rupee, and the Euro.

It goes against the expected trend where the depreciation of the USD is supposed to cause an increase in the import indexes. It shows that the decline in indexes was caused by another factor. It is likely a decrease in demand for imports, which could have caused a decline in demand for foreign exchange.

All imports index
Graph 1.

The table below indicates that annual average values declined from the previous year in 2009, and 2013. All other annual averages are incremental from the previous year. The indicator is leading when it causes importers to purchase commodities sooner than expected when they anticipate the USD to depreciate. It is lagging when it causes importers to wait for the dollar to appreciate before they import commodities. For example, towards the end of 2013, it was a leading period for importers because the USD was depreciating further (see Appendix C).

Table 1

All commodities import indexes
Period Annual average
2003 96.9
2004 102.3
2005 110.0
2006 115.4
2007 120.2
2008 134.1
2009 118.6
2010 126.8
2011 140.6
2012 141.0
2013 139.5

Conflicts relative to the indicator

Conflicts may arise from the transfer prices that firms use when they transfer commodities to their subsidiaries. Most countries have taxes on international transactions (Internal Labour Office et al. 2009). Firms would like to use low prices to reduce the amount of tax. The Internal Revenue Service requires that firms use the market prices, which would require that their values match the import index.

Conflict may also arise from one country, depreciating its currency to gain competitiveness (Dridi & Zieschang, 2002). In the past few years, China has been accused of depreciating its currency so that it does not appreciate following the large capital inflows and an increase in exports.

Impact on the national economy and other key indicators

The import indexes are used to examine the terms of trade. Terms of trade are favorable when import prices do not increase more than export prices. Higher import prices create a challenge in the balance of payments account.

The economy would need more exports to balance its accounts (COPAFS, n.d.). Lower import prices would result in more demand for imported commodities than domestic commodities. International Labour Office et al. (2009) discusses that the terms of trade can be examined by dividing the export price index by the import price index.

Table 2

Period All exports annual average All annual imports averages Exports index/ imports index
2003 99.7 96.9 1.03
2004 103.6 102.3 1.01
2005 106.9 110.0 0.97
2006 110.7 115.4 0.96
2007 116.1 120.2 0.97
2008 123.1 134.1 0.92
2009 117.4 118.6 0.99
2010 123.1 126.8 0.97
2011 133.0 140.6 0.95
2012 133.5 141.0 0.95
2013 133.0 139.5 0.95

Table 2 shows that the values obtained by dividing the export index and import index have declined steadily except for the year 2008, which is an outlier. The decline in the value indicates that imports are becoming more expensive than exports. It is favorable to the economy when it wants to reduce imports, and increase exports. Lower export prices compared to imports creates a demand for local products, which creates additional employment.

Import price indexes are used to deflate the price of products used to calculate the national income (Dridi & Zieschang, 2002). International Labour Office et al. (2009) explain that “a series of volume measures used in GDP requires deflators of the nominal value” (p. 462). Calculating GDP requires that the effect of inflation to be removed from imported commodities before it is included in the GDP summation.

The Federal Reserve has the mandate to control inflation. Import indexes are used to determine the impact of imports on inflation (COPAFS, n.d.). Import prices affect inflation through their impact on capital goods and consumer goods (Dridi & Zieschang, 2002). The Federal Reserve would want to know the inflation that they cannot control when it is derived from imported goods. Dridi & Zieschang (2002) discuss that the indexes are used to determine pass-through rates emerging from changes in the exchange rates. Pass-through rates are changes in the price index derived directly from the changes in the exchange rate. The fluctuations are not caused by suppliers.

The import indexes are used by the government to predict revenue that may be generated through custom levies. Dridi & Zieschang (2002) discuss that governments use the sources of their revenues when negotiating to finance a budget deficit. Custom tax is among the sources of revenues that the government may need.

The import indexes are used by the private sector to make contracts that will last for a long period. Dridi & Zieschang (2002) explain that parties under the agreement would want to know whether the price would cover the volume of commodities in the long run.

Professional or personal tie to the indicator

The import indexes affect the prices of goods and services that rely on imported commodities. Automobiles, electronics, foods, and beverages are common groups of goods that are affected by import prices. On a personal point of view, I would like to know if import prices on vehicles and automotive parts have remained the same. The industry is very competitive globally. Major producers in the U.S., India, South Korea, Japan, and China engage in competitive pricing.

I try to find out if prices have increased in a similar trend to that of all import commodities against the competitiveness of the industry. Major commodities changed by a margin of 42.6 between 2003 and 2013, the automobile industry changed by a 13.3 margin (see Appendix D). It shows that the competitiveness of the industry makes prices to increase at a lower rate than the aggregate of all imports.

Automotive import index
Graph 2.
Automotive compared with all imports
Graph 3.

I would also like to know the impact on indexes when petroleum is excluded. I found out that the change in import indexes between 2003 and 2013 is 18.4, which is lower than 42.6 for all commodities (see Appendix E). It shows that petroleum has a larger impact on the increase in import indexes than other commodities.

All imports excluding petroleum compared to all imports
Graph 4.

Conclusion

The U.S. import indexes decreased in 2009 and 2013 based on average annual indexes. The likely cause of the change in 2009 is the global financial crisis that occurred at the end of 2008. The likely cause of the 2013 decline in import indexes is low demand for imports. The price index shows a sign of increasing in 2014 based on the first-month data.

The competitiveness in the automotive vehicle, parts and engine industry has resulted in lower increases than the prices of all import commodities. Excluding petroleum from the all import indexes, one notices that petroleum has a major impact on increasing import indexes.

References

BLS. (2014). . Web.

COPAFS. Get to know a principal economic indicator: U.S. import and export price indexes. Web.

Dridi, J., & Zieschang, K. (2002). Compiling and using export and import price indices, issues 2002-2230. Washington, D.C.: International Monetary Fund.

International Labour Office et al. (2009). Export and import price index manual: theory and practice. Washington, D.C.: International Monetary Fund.

Appendices

Appendix A

Import indexes for all import commodities

Period Index value
2014
January 138
2013
December 137.9
November 137.6
October 138.9
September 139.8
August 139.4
July 138.9
June 138.8
May 139.4
April 140.2
March 141.2
February 141.3
January 140.1
2012
December 139.4
November 140.2
October 141.2
September 140.8
August 139.4
July 137.7
June 138.7
May 142
April 144.1
March 144.2
February 142.2
January 142.2
2011
December 142.2
November 142.2
October 141.2
September 141.7
August 141.9
July 142.4
June 142.2
May 143.1
April 142.9
March 139.3
February 135.3
January 133
2010
December 131
November 129.2
October 127.1
September 125.7
August 125.7
July 125.2
June 125.2
May 126.7
April 127.7
March 126.3
February 125.8
January 125.9
2009
December 124.4
November 124.1
October 122.3
September 121.3
August 121.1
July 119.3
June 120
May 116.8
April 114.8
March 113.6
February 113
January 113
2008
December 114.5
November 120
October 129.6
September 137.8
August 143
July 147.5
June 145.5
May 141.2
April 137.3
March 133.5
February 129.5
January 129.2
2007
December 127.3
November 127.5
October 123.6
September 121.8
August 121.1
July 121.5
June 120
May 118.6
April 117.5
March 115.9
February 114.1
January 113.7
2006
December 115.1
November 113.8
October 113.3
September 116.2
August 118.8
July 118.2
June 117.3
May 117.2
April 115.1
March 112.7
February 112.8
January 113.7
2005
December 112.3
November 112.3
October 114.5
September 114.4
August 112.1
July 110.5
June 109.2
May 107.9
April 108.8
March 107.8
February 105.5
January 104.6
2004
December 104
November 105.5
October 105.8
September 104.1
August 103.6
July 102.1
June 101.7
May 101.9
April 100.4
March 100.2
February 99.4
January 99
2003
December 97.5
November 96.8
October 96.3
September 96.2
August 96.7
July 96.7
June 96.2
May 95.3
April 96
March 99.1
February 98.5
January 96.9

Source: BLS (2014).

Appendix B

Change, %
Currency = USD 1 USD = 1 Day 3 Months 1 Year
Australian dollar 0.897529 1.11417 0.38 (0.84) (13.17)
Brazilian real 0.427987 2.33652 (0.03) 1.40 (16.96)
British pound 1.671288 0.598341 0.18 2.23 9.89
Canadian dollar 0.904691 1.10535 0.43 (3.51) (7.18)
Chilean peso 0.001787 559.673 0.16 (5.07) (16.66)
Chinese yuan renminbi 0.163207 6.12717 0.17 (0.42) 1.74
Czech koruna 0.050193 19.9229 (0.16) 1.35 (1.31)
Danish krone 0.184018 5.43426 (0.15) 0.75 5.14
Euro 1.372848 0.728413 (0.17) 0.96 5.22
Hong Kong dollar 0.128847 7.76113 0.00 (0.09) (0.05)
Hungarian forint 0.004435 225.461 0.34 (1.66) 1.57
Indian rupee 0.016186 61.7835 0.16 (0.17) (12.01)
Indonesian rupiah 0.000086 11591.5 0.10 3.25 (17.80)
Israeli shekel 0.286757 3.48727 0.03 1.01 6.82
Japanese yen 0.009769 102.365 (0.42) (0.35) (9.30)
Malaysian ringgit 0.305632 3.27191 0.18 (1.35) (5.34)
Mexican peso 0.075471 13.2502 0.24 (1.62) (3.98)
New Zealand dollar 0.840951 1.18913 0.32 2.43 1.52
Norwegian krone 0.166797 5.99532 0.06 3.02 (4.87)
Polish zloty 0.328329 3.04573 (0.01) 1.12 3.95
Saudi riyal 0.266667 3.75 0.00 0.00 0.00
Singapore dollar 0.787755 1.26943 (0.03) (1.21) (1.86)
South African rand 0.093215 10.7279 0.85 (2.51) (16.83)
South Korean won 0.000934 1070.76 0.06 (1.00) 1.66
Swedish krona 0.155183 6.44402 0.00 0.93 (0.78)
Swiss franc 1.126762 0.887499 (0.23) 1.41 5.98
Taiwan new dollar 0.033044 30.2629 0.09 (2.14) (2.09)
Thai baht 0.030943 32.3174 0.32 (0.16) (8.12)
Turkish lira 0.453174 2.20666 0.40 (7.79) (20.71)

Source: Rates FX. (2014). US dollar, Wednesday, March 5 2014, 16:15 EST (2014-03- 05 21:15 UTC). Web.

Appendix C

Graphs of major currencies in between Mar 7 and Dec 31, 2013 (1 USD against foreign currencies)

GBP/USDEUR/USDAUD/USDChinese Y/USDIndian R/USD

Source of data: Rates FX (2014). Create exchange rate chart and retrieve historical exchange rate data. Web.

Appendix D

Automotive: vehicle, parts, engines imports
Period Automotive Annual averages All imports annual averages
2003 100.7 96.9
2004 102.3 102.3
2005 103.4 110.0
2006 103.9 115.4
2007 105.0 120.2
2008 107.8 134.1
2009 108.2 118.6
2010 108.8 126.8
2011 112.2 140.6
2012 114.4 141.0
2013 114.0 139.5

Source: BLS (2014).

Appendix E

Period Excluding petroleum Annual averages All imports annual averages
2003 97.3 96.9
2004 99.8 102.3
2005 102.5 110.0
2006 104.2 115.4
2007 107.0 120.2
2008 112.7 134.1
2009 108.0 118.6
2010 111.0 126.8
2011 115.9 140.6
2012 116.3 141.0
2013 115.6 139.5

Source: BLS (2014).

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