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PURCHASING POWER PARITY THEORY AND EXCHANGE RATE1

Purchasing Power Parity Theory and Exchange Rate

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Table of Contents Purchasing Power Parity Theory and Exchange Rate 3 Overview of Purchasing Power Parity Theory 3 Purchasing Power Parity and the Law of One Price 4 Types of Purchasing Power Parity 6 Long Run Exchange Rate 6 Ongoing Inflation, Interest Parity, and Purchasing Power Parity 8 Strengths and Weaknesses of Purchasing Power Parity 9 Empirical Analysis of Purchasing Power Parity Theory 10 Factors Explaining the Problem with Purchasing Power Parity 12 Traded Goods 12 Non-Tradables 13 Deviations from Free Competition 14 Price Measurement Levels and Consumption Patterns 14 Purchasing Power Parity in the Short Run and Long Run 15 Conclusion 16 Reference List 17

Purchasing Power Parity Theory and Exchange Rate

No nation is rich enough to rely on free gold standard. All countries across the globe have paper currencies that are not convertible into other valuable things including gold. Hence, nowadays nations have standard paper currencies, which complicate exchange situations. In such cases, the exchange rate between two currencies can be determined by their purchasing powers. The purchasing power parity theory holds that the rate of exchange between two nations depends on their currencies’ relative purchasing power. In essence, the exchange rate between currencies of two nations equals the ratio of their price levels. The purchasing power parity, therefore, predicts that a decline in a currency’s domestic purchasing power due to an increase in domestic prices, will lead to a proportional depreciation of the currency in foreign exchange market (Paul, Kimata & Khan 2017).

Conversely, purchasing power parity holds that an increase in currency domestic purchasing power will result in a proportional currency appreciation. For instance, if a certain good can be bought for $1 in the United States and 60 rupees in India, the purchasing power of$1 in the United States equals to purchasing power of 60 rupees in India. If in the United States $1 can buy a collection of goods that cost 80 rupees in India, then the exchange rate will be $1 equals to 80 rupees. This report tests the validity of absolute purchasing power parity and relative purchasing power by comparing the prices of commodities in the United States and India, and the exchange rates between the two countries. What product you are comparing mention it as well ???

Overview of Purchasing Power Parity Theory

Purchasing power parity is a simple theory that states that the nominal exchange rate between different currencies is the same as the ratio of aggregate commodity price levels between the two nations. This way, the unit of currency of one nation has the same purchasing power in another country. This theory has a long history, dating back many years ago (Pilbeam 2013). The primary idea behind the theory is that a unit of currency ought to be able to purchase the same basket of commodities in one nation as the equivalent amount of foreign currency can purchase in a foreign country. Hence, there is parity purchasing power of one unit of currency across different economies.

The simplest means of determining whether or not there is a discrepancy from purchasing power parity is to compare the price of identical commodities from the basket in two different nations. For instance, the Economist newspaper normally compares the prices of MacDonald Big Mac hamburgers around the globe with the United States dollars at prevailing market exchange rates. By doing so, it is easy to determine whether or not a given currency is overvalued or undervalued against the dollar at prevailing exchange rate. For instance, in July 2019, a Big Mac burger was selling at £3.29 in United Kingdom against $5.74 in the United States, implying an exchange rate of 0.57. The variance between this and the actual exchange rate of 0.80, suggests an undervaluation of the British pound by 28.5 percent (Economist 2019).

Purchasing Power Parity and the Law of One Price

The purchasing power parity holds due to international goods arbitrage related to the law of one price. This law asserts that the price of a globally traded commodity should remain the same anywhere around the world as long as the price has been expressed in common currency. This is due to the fact that people to earn riskless profits by moving commodities from areas where the price is low to areas where the price is very high. If the same commodity enters each nation’s market basket used to derive the aggregate price level, then the law of one price holds that a purchasing power parity exchange rate must hold between the two economies concerned (Lee & Yoon 2013). Proponents of purchasing power parity theory content that its validity as a long run theory does not necessarily need the law of one price to be exact.

Even if the law does not hold for each individual good, proponents of the theory contend that prices and exchange rates ought not to deviate too far from the relation determined by purchasing power parity. When commodities are more expensive in one nation than in other countries the demand for its commodities and currency declines, which pushes both the domestic price and the exchange rate back in line with purchasing power parity. Conversely, relatively cheap domestic products lead to appreciation of currency as well as price level inflation. Purchase power parity, therefore, holds that even if the law of one price is literally untrue, the resultant economic factors will eventually equalize the currency’s purchasing power in different nations (Krugman, Obstfeld, & Melitz 2012).

Opponents of law of one price posits that the presence of transaction costs such as transportation costs, tariffs, non tariff barriers, and taxes, would violate the law of one price. In addition, not all commodities are traded between countries and different countries do not attach similar weights to similar commodities in aggregate price indices. Moreover, different economies produce commodities that are differentiated instead of perfectly substitutable goods. Also, given that purchasing power parity is anchored on traded commodities, the law of one price can be effectively tested using producer price indices that contain the price of manufactured tradable goods instead of consumer price indices (Bahmani-Oskooee & Nasir 2015).

Types of Purchasing Power Parity

Notwithstanding the aforementioned objections, it is always held that the purchasing power parity theory of exchange rates holds due to international goods arbitrage. Generally, there are two means in which the purchasing power parity hypothesis might be true- absolute purchasing power parity and relative purchasing power parity (Liang 2013). Absolute purchasing power parity remains true when a unit currency’s purchasing power parity is the same in both the domestic economy and foreign economy, once the unit currency is converted into foreign currency at the current market exchange rate. Nonetheless, it is usually challenging to determine whether the same basket of commodities is available in different nations.

Hence, it is important to test relative purchasing power parity. Relative purchasing power parity posits that the percentage change in exchange rate during a given period of time offsets the variations in inflation rates between economies concerned over the same duration. Generally, if absolute purchasing power parity holds, the relative purchasing power parity must also hold (Zhang & Bian 2015). However, absolute purchasing power parity must not hold if the relative purchasing power parity holds because it is common for common variances in nominal exchange rates to happen at different purchasing power levels for the two economies (Findreng 2014). Mathematically, relative purchasing power parity between the United States and India is expressed as;

(E$/rupee, t – E$/rupee, t-1)/E$/rupee, t-1 = πe us-πe India

Where πe denotes the rate of inflation, πe = (pt-pt-1)/pt-1

Long Run Exchange Rate

The theory of purchasing power parity, when combined with money demand and supply relationship, leads to a significant theory of the interaction between exchange rates and monetary factors. Since the factors that do not affect money supply and money demand do not impact this theory, it is usually referred to as the monetary approach to exchange rate. This approach helps in understanding the long run theory of exchange rates (Al-Gasaymeh & Kasem 2016). The monetary approach to exchange rates is a long run rather than a short run theory due to the fact that it does not accommodate price rigidities, which help in understanding short run macro-economic developments. On the contrary, the monetary approach to exchange rate proceeds as though prices can adjust immediately to maintain purchasing power parity and full employment (Abbas Ali, Johari & Haji Alias 2014).

To derive the monetary approach to exchange rate predictions for dollar/rupee exchange rate, it is important to assume that in the long term, foreign market determines the rate so that purchasing power parity holds.

Rupee (dollar/rupee) = Price (USA)/ Price (India)--------------(i)

It is assumed that the above equation should hold if there are no market rigidities to prevent immediate adjustment of exchange rates and other prices to levels that are consistent with full employment.

In the United States;

P (US) = Ms US/L(R$, YUS) ------------------- (ii)

While in India;

P (India) = Ms India/L(R rupee,Y rupee)-----------------(iii)

Where;\\

Ms refers to a nation’s money supply

L(R,Y) refers to a country’s aggregate real money demand, which falls with an increase in interest rates and rises with an increase in real output.

Equations (ii) and (iii) demonstrate how the monetary approach to exchange rate derives its name. The statement of purchasing power parity in equation (i) shows that the dollar price of rupee is the dollar price of the United States’ output divided by rupee price of India output. The two price levels are, therefore, determined by the supply and demand of each country’s currency. The United States’ level of price is money supply in the United divided by real money demand in the United States. Similarly, the price level in India is the Indian money supply divided by India’s real money demand. Hence, the monetary approach to exchange rate predicts that real exchange rate- the relative price of dollar and rupee- is determined in the long run by not only the relative supplies of those currencies but their relative real demand as well.

Ongoing Inflation, Interest Parity, and Purchasing Power Parity

Although a permanent increase in a country’s level of monetary supply leads to proportional increase in its price levels, it does not pose any long run effects on interest rates and real output. Whereas a conceptual examination of a short run money supply change is important in determining the long run impacts of money, it is an unrealistic description of monetary policies. The reasoning is that continuing growth in money supply will need a continuing increase in price level or ongoing inflation. Other factors remaining constant, constant growth of money supply at a given rate leads to ongoing inflation of price levels at the same rate. Nonetheless, changes in the long run rate of inflation do not affect the long run relative price of commodities or full employment output level (Saadon & Sussman 2018).

The interest rate, nonetheless, is independent of long run growth rate of money supply. Whereas the long run rate is independent of the absolute level of money supply continuous growth in money supply will affect interest rate (Taylor & Sarno 2004). The interest parity condition holds that if people expect the relative purchasing power parity to be true, the difference between interest rates provided by rupee and dollar deposits must equal the difference between expected interest rates in India and the United States. The interest parity condition between the United States dollar and Indian rupee is expressed as;

R$ = R (rupee) +(E$/rupee- E$/rupee)/E$/rupee

(E$/rupee- E$/rupee)/E$/rupee=πe us-πe India

Thus,

R$-Rrupee= πe us-πe India

If currency depreciation can offset the difference in international inflation, so that πe us-πe India is the expected dollar depreciation, the difference in interest rate is equal to the expected difference in inflation.

Strengths and Weaknesses of Purchasing Power Parity

The primary strength of purchasing power parity is that it always remains stable over a long period of time. The relative purchasing power parity, in particular, proves that exchange rate should equal purchasing power parity in the long run. This can be attributed to a decline in rate of inflation between two countries. Nonetheless, conditions relating to prices and tariffs tend to change all the time hindering people’s ability to arrive at a stable conclusion regarding exchange rates. The purchasing power parity can only apply to a static world, but the world is dynamic. This is due to the fact that with time the exchange rate will rise will price level continue decline, leading to a situation where exchange rate is greater than price levels. Rose, Marquis and Lu (2012) indicate that internal prices and production costs are always changing. Hence, a new equilibrium between two different currencies changes on daily basis. Differences in two nation’s economic performance, especially in relation to transport and tariffs, can deviate normal exchange rates to certain levels from a currency’s intrinsic purchasing power. The exchange rate value of a country’s currency will rise while its price levels will remain constant if it decides to raise its tariffs.

Can u add more strength of PPP theory and more weaknesses of the theory as is an important part and has to be critically explained <<<<

Empirical Analysis of Purchasing Power Parity Theory

Overall, the absolute and relative purchasing power parity theories do not effectively explain the relationship between actual data on exchange rates and price levels. Relative purchasing power parity, which is always considered a reasonable estimation to exchange rate data well for a given duration. An analysis of figure 1 demonstrates strengths of relative purchasing power parity by plotting the United States dollar against Indian rupee exchange rates, Erupee/$, and the ratio of India’s and the United States price levels, Pindia/Pus, between 2008 and 2018. Price levels are illustrated by indexes reported by both the Indian and the United States governments.

Relative Purchasing Power Parity

Relative purchase power parity predicts that Erupee/$ and the ratio of India’s and United States’ price levels will move proportionately, which is not the case. From 2008 to 2018, the Indian rupee gained significant strength against the United States dollar. In 2018, the exchange rate was 70.83, which was equal to the purchasing power price. This validates the relative purchasing power parity assertion that exchange rates and price levels in two economies should equal out after a given period of time. As the rate of inflation continued to decrease from 1.74 on January 1, 2008 to December 1, 2018, relative purchasing power parity also decreased from 133.68 to 70.83. Nonetheless, the relative purchasing power parity can only apply partially even if the long run understanding of purchasing power parity and exchange rate is taken into consideration.

More explanation needed about the graph 1 (exchange rate) add more information ) what happened ? what is the history behind that.. more critical evaluation

Figure 1: the Indian rupee/United States dollar exchange rate and India-U.S price levels between 2008 and 2018

1-You should add the deviation graph as well and explain it ?

2-what happened? 3-what is the history behind this increase during the last 10 year ? 4-and explain in details this graph what the deviation represent ? and relevant information related to this graph .. what does it show ? what are those number related to ppp ???

After you finish the relative theory part you have to say if the data we had in the real world is the same as the relative theory explains … even if is not the same its still fine but we have so say that ..

Absolute Purchasing Power Parity

To test the effectiveness of absolute purchasing power parity theory, it is important to compare international prices of a broad basket of commodities by making necessary adjustments for inter-country quality variations among the identified goods and services. These comparisons normally hold that absolute purchasing power parity is ineffective. The prices of identical goods, when converted into one currency, tend to vary across different economies. According to Çağlayan and Filiztekin (2012), even the law of one price is ineffective in explaining the relationship between purchasing power parity and exchange rate. For instance, manufactured commodities that tend to be the same in different countries normally sell at different prices. Since the assertion that leads to absolute purchase power parity is anchored on the law of one price, there is no doubt that purchasing power parity does not support the data. To understand the impact of absolute purchasing power parity, there is need to prices of traded and non-traded goods in different countries.

Traded Goods

This part is not ok as the product I asked for traded goods is Vans shoes … and if you cant find Vans shoes data you can do Nike is still ok but has to be shoes company….

-in this part you are comparing the prices in the different country by doing the Big mac index the table you have done is not the same I sent you … you have to follow the table below and compare them in this way … and explain the numbers ???

-you should mention a small sentence of why we have chosen this product and these countries ?

-since the price of the product compared to the countries are in different currencies you should convert all the prices to US dollar in order to compare them .

-you should include the excel of the Big Mac index for the calculations you have to show me how u did the calculations and

This is the table local price of the product , exchange rate , dollar price , ppp, and the value the calculation has to be done in excel and here only the table …. Like this

The formulas to do this calculation are below :

DP=LOCAL PRICE/ EXCHANGE RATE

PPP= FOREIGN PRICE/ LOCAL PRICE

VALUE= (PPP/ER)-1

And you should find the local price and the foreign price changed to dollar . and the exchange rate

-what make the prices different from one country to other , transport people in one country might buy it more luxury , tax etc explain those things in details …….

Trade restrictions and transport costs make it expensive to ship commodities between markets that are located in different nations, which can hinder the law of one price underlying purchasing power parity. In 2013, a Ford Focus was selling at $21,850.90 in the United States, £15,246 in the United Kingdom, £15,384 in Germany (Boyce, 2013) and 120,000 rupee in India. However, when converted to the United States, the vehicle cost $23,658.74, $23,872.89, and $22,301.56 in the United Kingdom, Germany, and India respectively. The purchasing power price, on the other hand, stood at 21850.90 in the United Kingdom, 21850.90 in Germany, and 21850.90 in India. This invalidates the absolute purchasing power parity assertion that the price of the same good in different economies ought to be equal when measured using a common currency. The variations in the price of Ford Focus can be attributed to various factors such as transportation cost, tax differences, and government interventions.

 

Ford Focus

Official Rate

Implied

Actual

Under(-)/

PPP

PPP

 

Local Price

Dollar Price

Dollar PPP

Exch.Rate

Overvaluation

Exchange Rate

Mac Price

United States

$21,850.90

1.00

 

 

 

 

 

United Kingdom

$23,658.74

1.55

1.08

1.00

0.08

1.08

21850.90

India

$22,301.56

53.81

0.98

1.51

-0.35

0.98

22761.51

Germany

$23,872.89

1.55

1.09

12.96

-0.92

1.09

21850.90

Table 1: the Big Mac currency table for tradable goods

Non-Tradables

Same as the tradable goes for non tradable the table the calculation same as the one I have posted the explanations the reason you chose those countries for this product what makes the price different what are the prices why are more or less expensive etc….. and everything related to big mac index explanation

Just to let you know that normally the PPP theory should not really work for service goods like McDonalds or Starbucks (as it is not really possible to buy a cheap BigMac from Beijing) .. so u can either change the drink to fanta or pepsi or anything else or use Starbucks but mention any wrongs you see in the data and explain it in details.

After the theory has been tested is the theory of absolute ppp explain the real words ? how? and why ?yes or no ?

The cost of transportation can be so huge relative to cost of production that they cannot be traded across different countries at a profitable. For instance, an American desiring a cup of Indian produced Starbuck coffee may have to move to India or import the product to the United States. In both cases, the transport cost is greater than the price paid for the product being bought. Indian produced coffee are consumed by Indian residents while American produced coffee are consumed by American residents (see table 2). Ryu and Ko (2011) indicate that the existence of countries of nontradable commodities, whose prices are not related internationally, leads to systematic deviations from both absolute and relative purchasing power parity. Most importantly, since the price of nontradable goods is dependent on its domestic supply and demand forces, shifts in demand and supply curves may result in changes of domestic price of a broad basket of commodity relative to foreign price of a similar basket of commodity.

In 2018, the price of Starbucks coffee was $2.75 in the United States, $2.88 in the United Kingdom, $1.67 in India, and $6 in Germany. The differences in price levels for Starbucks coffee invalidates absolute power purchasing parity assertion that the same good in different economies ought to be equal if measured using a common currency. The differences in price of Starbuck’s coffee in these countries can be attributed to several factors affecting the demand for and supply of coffee.

 

Starbucks Coffee

Official Rate

Implied

Actual

Under(-)/

PPP

PPP

 

Local Price

Dollar Price

Dollar PPP

Exch.Rate

Overvaluation

Exchange Rate

Mac Price

United States

$2.75

1.00

1

 

 

 

 

United Kingdom

$2.88

1.55

1.05

1.00

0.05

1.05

2.75

India

$1.67

53.81

1.64

1.51

0.09

1.64

1.02

Germany

$6.00

1.55

2.18

12.96

-0.83

2.18

2.75

Table 2: the Big Mac currency table for non-tradable goods

Factors Explaining the Problem with Purchasing Power Parity

There are several factors explaining the negative empirical outcome described above. First, Lee (2010) indicates that contrary to the law of one price assumptions, other factors such as trade barriers and transportation costs exist in trade. These factors may be high enough to hinder trading of goods and services between two countries. Monopolistic practices can also interact with trade barriers to weaken the link between prices of similar commodities sold in different economies. Furthermore, since the inflation data reported between India and the United States are based on different baskets of commodities, exchange rate changes cannot offset official inflation measures, even in the absence of trade barriers and tradable products.

The primary lesson learned is that transport costs can affect the close link between the prices of commodities as explained by the law of one price and exchange rates.Overall, the greater the cost of transportation the greater the range of exchange rate, given the prices of commodities in different countries. Trade barriers such as tariffs and quotas have same effect on exchange rate since a fee paid for customs duty affects an importer’s profit just as shipping fee.

Deviations from Free Competition

Simultaneous occurrence of imperfectly competitive market structures and trade hindrances can weaken linkages between price levels of different countries. An extreme scenario happens when a single organization decides to charge different prices for a given commodity in different markets. This pricing to market mechanism may result in different demand levels in different nations. For instances, economies characterized with inelastic demand tend to charge higher markup prices over a monopolistic seller’s cost of production.Bastos, Ferreira and Arruda (2018) in an analysis of company level export data found strong evidence of pervasive pricing technique to manufacturing trade markets. In 2013, for instance, Ford Focus cost £15,384in Germany and £16,857 in France irrespective of the fact that the two countries shared the same currency and despite the move to remove trade barriers in Europe (Boyce, 2013). The combination of market segmentation and product differentiation violates the law of one price as well as the absolute purchasing power parity. Shifts in demand as well as market structures can violate relative purchasing power parity.

Since our product are the one above don’t mention any other examples like ford or others focus on the products u chosen

Price Measurement Levels and Consumption Patterns

Different governments across the world have different measures of price levels. One of the primary reasons for the difference in measures of price levels is that residents of different countries always spend their incomes differently. Ghosh (2018) asserts that people tend to consume higher proportions of domestic products, both tradable goods and non-tradable, than foreign made products. An average Indian is, therefore, more likely to consume more Indian produced Starbucks coffee than her American counterpart while an American resident is more likely to consume American produced Starbucks coffee than an Indian. As a result it is likely that the Indian government is likely to have relatively high weight on Indian produced coffee when constructing a commodity basket for measuring purchasing power. Since relative purchasing power parity makes predictions about changes in commodity prices instead of price levels, it makes sense to define the level of prices in the economies being compared. If, for instance all United States prices increase by 20 percent, relative purchasing power parity will be satisfied for domestic and foreign price level indexes. This can happen if there are no changes in prices abroad. However, any change in relative prices of commodities can invalidate relative purchasing power parity.

Purchasing Power Parity in the Short Run and Long Run

The aforementioned factors associated with purchasing power parity’s poor empirical test performance can lead to divergence of national prices in the long run, after all prices have adjusted to their clearing levels. But many prices may take time to adjust fully and departures from purchasing power parity can be greater in the short run rather than in the long run (AbuDalu & Ahmed 2013). A depreciation of the dollar against foreign currencies, for instance, makes personal computers in the United States less costly relative to similar product produced in other countries. As users in India shift their demand for Ford Focus, the price of the American produced car will rise to reduce the departure from the law of one price resulting from depreciation of dollar. It will take some time for the price increase process to increase, and prices for the United States and foreign vans may vary while markets try to adjust to changes in exchange rates. as I said don’t add any new product our products are the one above chosen

Short run departures from purchasing power parity tend to disappear over time, with nearly 50 percent of the effect of temporary deviations from purchasing power parity remaining in the long run a reference for this point ?. Even when such temporary purchasing power parity departures are not taken into consideration, the cumulative impacts of some long run trends tend to cause predictable deviations from purchasing power parity for many economies. Choji and Sek (2017) associate this trend with thepositive correlation between price levels and real income per capita. In other words, a pound, when converted into local currency such as Indian rupee at the current market exchange rate performs better in poor nations than in rich ones.

Conclusion

Purchasing power parity theory, especially the absolute one, holds that exchange rate between different currencies is the same as their price ratios, as measured by reference commodity basket prices. However, an analysis of tradable and non-tradable goods invalidate the assertion that the same good should cost the same in different countries if measured using a common currency. This is attributed to various factors such as demand and supply, government policies, and transportation cost. Absolute purchasing power parity implies another version of purchasing power parity theory, the relative purchasing power parity, which asserts that percentage changes in exchange rate is the same as the differences in inflation rates. Overall, the relative purchasing power parity validates the notion that exchange rate should equal price level after a given period of time. Nonetheless, the theory can hold for only a given duration because with time the exchange rate should be greater than the purchasing power parity.

Reference List

Abbas Ali, D, Johari, F, & Haji Alias, M, 2014. ‘The effect of exchange rate movements on trade balance: A chronological theoretical review,’ Economics Research International, vol. 2014, pp. 1-8

AbuDalu, A & Ahmed, EM, 2013, ‘The long and short run forcing variables of purchasing power parity of ASEAN-5,’ E3 Journal of Business Management and Economics, vol. 4, no.3, pp.66-81.

Al-Gasaymeh, A & Kasem, J, 2016, ‘Long-run purchasing power parity and exchange rates: Evidence from the Middle East,’ The International Journal of Business and Finance Research, vol. 10, no. 2, pp.41-53.

Bahmani-Oskooee, M & Nasir, ABM, 2015, ‘Purchasing power parity and the law of one price: Evidence from commodity prices in Asian countries,’ Global Economy Journal, vol. 15, no. 2, pp.231-240.

Bastos, FDS, Ferreira, RT& Arruda, EF, 2018. ‘Speed of reversion of deviations of the purchasing power parity for Brazilian cities,’ Revista Brasileira de Economia, vol. 72, no.1, pp.26-40.

Boyce, L, 2013, ‘The Ford Focus index: Buying and running a car is cheaper in Britain than most other European countries,’ This is Money, 15 February, viewed 2 January 2020, https://www.thisismoney.co.uk/money/cars/article-2278601/Buying-running-Ford-Focus- CHEAPER-Britain-European-countries.html

Çağlayan, M & Filiztekin, 2012,‘The law of one price and the role of market structure,’ Munich Personal RePEc Archive, no. 36975, 1-38.

Choji, NM & Sek, SK, 2017, Testing for the validity of purchasing power parity theory both in the long-run and the short-run for ASEAN-5. In AIP Conference Proceedings vol. 1905, no. 1 https://doi.org/10.1063/1.5012234

Economist, 2019, ‘Burgernomics: The Big Mac index’, Economist, 10 July, viewed 2 January 2020, https://www.economist.com/news/2019/07/10/the-big-mac-index

Findreng, JH, 2014. ‘Relative purchasing power parity and the European monetary union: Evidence from eastern Europe,’ Economics & Sociology, vol. 7, no 1, pp. 22-37.

Ghosh, J, 2018, ‘A note on estimating income inequality across countries using PPP exchange rates,’ The Economic and Labour Relations Review, vol. 29, no.1, pp.24-37.

Krugman, PR, Obstfeld, M, & Melitz, MJ, 2012. International economics: Theory and policy, 9th ed, Pearson Education, Boston, MA.

Lee, C, 2010, ‘Purchasing power parity and free trade area,’ Munich Personal RePEc Archive, no. 40431, 1-10.

Lee, HT, & Yoon, G, 2013, ‘Does purchasing power parity hold sometimes? Regime switching in real exchange rates,’ Applied Economics, vol. 45, no.16, pp.2279-2294.

Liang, BC. 2013. The pragmatic MBA for scientific and technical executives, Academic Press, Cambridge, MA.

Paul, MT, Kimata, JD, Khan, MGM, & Campus, L 2017, ‘Purchasing power parity theory and applications for Solomon Islands,’ Journal of Economics and Public Finance, vol. 3, no. 4, pp. 507-530

Pilbeam, K, 2013. International finance, 4th ed, Red Globe Press, New York, NY.

Rose, PS, Marquis, MH & Lu, J, 2012. Money and capital markets 10th ed, McGraw- Hill, New York, NY.

Ryu, D & Ko, H, 2011, ‘Decomposition into tradables and nontradables and the purchasing power parity (ppp) hypothesis of the real won-dollar exchange rate. East Asian Economic Review, vol. 15, no.3, pp.129-161.

Saadon, Y & Sussman, N, 2018. ‘Nominal exchange rate dynamics and monetary policy: Uncovered interest rate parity and purchasing power parity revisited,’ CEPR Discussion Paper No. DP13235 , viewed 2 January 2020, https://voxeu.org/article/uncovered-interest- rate-parity-and-purchasing-power-parity-revisited

Taylor, MP & Sarno, 2004, ‘International real interest rate differentials, purchasing power parity and the behaviour of real exchange rates: The resolution of a conundrum,’ International Journal of Finance & Economics, vol. 9 no.1, pp.15-23.

Zhang, Z & Bian, Z, 2015, ‘Absolute purchasing power parity in industrial countries,’ Munich Personal RePEc Archive, no. 72788, pp. 1-17.

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Exchange Rate

US/INDIA Exchange Rate 39448 39479 39508 39539 39569 39600 39630 39661 39692 39722 39753 39783 39814 39845 39873 39904 39934 39965 39995 40026 40057 40087 40118 40148 40179 40210 40238 40269 40299 40330 40360 40391 40422 40452 40483 40513 40544 40575 40603 40634 40664 40695 40725 40756 40787 40817 40848 40878 40909 40940 40969 41000 41030 41061 41091 41122 41153 41183 41214 41244 41275 41306 41334 41365 41395 41426 41456 41487 41518 41548 41579 41609 41640 41671 41699 41730 41760 41791 41821 41852 41883 41913 41944 41974 42005 42036 42064 42095 42125 42156 42186 42217 42248 42278 42309 42339 42370 42401 42430 42461 42491 42522 42552 42583 42614 42644 42675 42705 42736 42767 42795 42826 42856 42887 42917 42948 42979 43009 43040 43070 43101 43132 43160 43191 43221 43252 43282 43313 43344 43374 43405 43435 39.267600000000002 39.673499999999997 40.145200000000003 39.966799999999999 42.001899999999999 42.763300000000001 42.7027 42.905700000000003 45.53 48.615499999999997 48.851700000000001 48.513199999999998 48.6995 49.248399999999997 51.129100000000001 49.965499999999999 48.51 47.6736 48.362400000000001 48.242600000000003 48.292400000000001 46.6524 46.530500000000004 46.527299999999997 45.894399999999997 46.273200000000003 45.450899999999997 44.444000000000003 45.768999999999998 46.4983 46.761699999999998 46.460500000000003 45.872900000000001 44.353999999999999 44.9315 45.1 45.375 45.3795 44.914299999999997 44.301000000000002 44.9024 44.810899999999997 44.396000000000001 45.313499999999998 47.6905 49.201999999999998 50.6785 52.382399999999997 51.0015 49.181199999999997 50.363500000000002 51.69 54.331400000000002 55.942399999999999 55.424799999999998 55.493499999999997 54.35 53.099499999999999 54.784500000000001 54.646999999999998 54.228999999999999 53.807899999999997 54.422899999999998 54.323599999999999 54.984499999999997 58.383499999999998 59.760899999999999 62.810899999999997 63.648000000000003 61.605899999999998 62.517899999999997 61.811 62.105699999999999 62.164200000000001 60.947600000000001 60.346400000000003 59.284300000000002 59.736699999999999 60.095599999999997 60.873800000000003 60.897599999999997 61.366799999999998 61.6828 62.707099999999997 62.13 61.990499999999997 62.480499999999999 62.641399999999997 63.715000000000003 63.780900000000003 63.604500000000002 65.097099999999998 66.166700000000006 65.026200000000003 66.099999999999994 66.502300000000005 67.333200000000005 68.239500000000007 66.890900000000002 66.421899999999994 66.889499999999998 67.265500000000003 67.158000000000001 66.903499999999994 66.713800000000006 66.741500000000002 67.639499999999998 67.805199999999999 68.047399999999996 66.9726 65.800899999999999 64.536000000000001 64.419499999999999 64.4482 64.424000000000007 63.968299999999999 64.477500000000006 65.035700000000006 64.843500000000006 64.244500000000002 63.645200000000003 64.430000000000007 65.045500000000004 65.672899999999998 67.510000000000005 67.790000000000006 68.686700000000002 69.631699999999995 72.277900000000002 73.560900000000004 71.738 70.833100000000002 PPP 39448 39479 39508 39539 39569 39600 39630 39661 39692 39722 39753 39783 39814 39845 39873 39904 39934 39965 39995 40026 40057 40087 40118 40148 40179 40210 40238 40269 40299 40330 40360 40391 40422 40452 40483 40513 40544 40575 40603 40634 40664 40695 40725 40756 40787 40817 40848 40878 40909 40940 40969 41000 41030 41061 41091 41122 41153 41183 41214 41244 41275 41306 41334 41365 41395 41426 41456 41487 41518 41548 41579 41609 41640 41671 41699 41730 41760 41791 41821 41852 41883 41913 41944 41974 42005 42036 42064 42095 42125 42156 42186 42217 42248 42278 42309 42339 42370 42401 42430 42461 42491 42522 42552 42583 42614 42644 42675 42705 42736 42767 42795 42826 42856 42887 42917 42948 42979 43009 43040 43070 43101 43132 43160 43191 43221 43252 43282 43313 43344 43374 43405 43435 133.68058809022469 133.07570920747085 132.26968687416928 132.1075842764146 132.26162958187123 132.64018369193062 130.53940579129113 128.22499307969159 127.17061680033177 124.18486152932307 121.8063618750559 121.36662754767708 121.07125180833198 121.67333103614801 121.96920997096042 120.64337417043077 120.1906136290405 119.63842317476546 114.22284429066016 113.06570765639107 112.44233955783744 111.18638281254242 109.27819900401148 108.44026069771512 106.91298871754447 108.19774554385002 108.64203616507082 108.83073487835343 107.64864552288044 106.30741891546005 103.94041942877215 104.08392625296021 103.56266293080233 102.54585529723373 102.0253150706708 100.54333186550693 99.410185818252344 101.52042044093399 102.51035337322112 102.61578166950653 102.54717664305045 101.35335885230282 99.34071359182262 99.101176840964214 97.740211651684518 97.045985399304953 96.476864268502581 97.215947198228818 97.150565895095596 97.087973964373106 96.851928062639246 95.249017753968516 94.675413710578795 93.627576382928865 91.711304549027858 91.359807489552594 91.340648881237257 90.463602324444963 89.621973447965104 88.972485028461975 88.428041706772262 88.352698051498322 88.188234006243249 87.316934549704811 86.70509259436794 85.784417174880844 84.357480431745856 83.746222895156549 83.491336009822561 82.239687454050397 81.396231726751182 82.751410123794486 83.760187939572688 83.716690482223527 83.903294810884233 83.136350850550059 82.742888165566541 82.22300685447442 80.233997173163687 79.78336449156356 79.843406964378701 79.642818144582776 79.21279328341663 78.763648752135836 78.084361657622296 78.733459799323853 78.89024030189988 78.433031238321234 78.221715445090993 77.593466336789945 77.008564813357339 76.608213426826879 75.913848176424594 75.033468822885098 74.597781977827083 74.6192417247576 74.742594958091885 75.364444274755627 75.406542076704241 74.925333202315244 74.134233216320567 73.840693954970163 72.931339536644614 73.52348965795511 73.966305670782219 73.792125487453688 73.94332791788959 74.505476832034091 75.213176938941047 75.44980642259641 75.236545930642393 74.914827310180414 74.709150523606922 74.242799159694158 72.88997075122451 73.108236291576631 73.495337522760835 72.937046452544621 72.685560829459376 73.150825756242099 73.03857357882687 73.625424701984031 73.791901056981672 73.827990236218795 73.878512102913717 73.487699871188738 71.051041059892256 71.090512920674868 71.173121886455434 71.062778990488994 70.824764976984767 70.833100000000002

Deviation 39448 39479 39508 39539 39569 39600 39630 39661 39692 39722 39753 39783 39814 39845 39873 39904 39934 39965 39995 40026 40057 40087 40118 40148 40179 40210 40238 40269 40299 40330 40360 40391 40422 40452 40483 40513 40544 40575 40603 40634 40664 40695 40725 40756 40787 40817 40848 40878 40909 40940 40969 41000 41030 41061 41091 41122 41153 41183 41214 41244 41275 41306 41334 41365 41395 41426 41456 41487 41518 41548 41579 41609 41640 41671 41699 41730 41760 41791 41821 41852 41883 41913 41944 41974 42005 42036 42064 42095 42125 42156 42186 42217 42248 42278 42309 42339 42370 42401 42430 42461 42491 42522 42552 42583 42614 42644 42675 42705 42736 42767 42795 42826 42856 42887 42917 42948 42979 43009 43040 43070 43101 43132 43160 43191 43221 43252 43282 43313 43344 43374 43405 43435 -94.412988090224687 -93.402209207470861 -92.124486874169278 -92.140784276414593 -90.259729581871227 -89.876883691930644 -87.836705791291138 -85.31929307969159 -81.64061680033177 -75.569361529323075 -72.954661875055905 -72.853427547677086 -72.371751808331979 -72.424931036148024 -70.840109970960413 -70.677874170430783 -71.680613629040494 -71.964823174765456 -65.860444290660155 -64.823107656391073 -64.149939557837442 -64.533982812542405 -62.747699004011466 -61.912960697715121 -61.018588717544468 -61.924545543850016 -63.191136165070823 -64.386734878353437 -61.879645522880431 -59.809118915460047 -57.178719428772162 -57.623426252960208 -57.689762930802331 -58.19185529723373 -57.093815070670786 -55.443331865506927 -54.035185818252344 -56.140920440933975 -57.596053373221125 -58.31478166950653 -57.644776643050449 -56.542458852302822 -54.944713591822619 -53.787676840964217 -50.049711651684518 -47.843985399304955 -45.798364268502581 -44.833547198228821 -46.149065895095596 -47.906773964373095 -46.488428062639258 -43.559017753968519 -40.344013710578793 -37.685176382928866 -36.286504549027846 -35.866307489552597 -36.99064888123727 -37.364102324444964 -34.837473447965102 -34.325485028461976 -34.199041706772263 -34.544798051498326 -33.765334006243251 -32.993334549704812 -31.720592594367943 -27.400917174880846 -24.596580431745856 -20.935322895156553 -19.843336009822558 -20.633787454050399 -18.878331726751185 -20.940410123794486 -21.654487939572704 -21.55249048222354 -22.955694810884218 -22.789950850550056 -23.458588165566553 -22.486306854474421 -20.138397173163689 -18.909564491563572 -18.94580696437869 -18.276018144582793 -17.52999328341663 -16.056548752135853 -15.954361657622293 -16.742959799323856 -16.409740301899895 -15.791631238321223 -14.50671544509099 -13.812566336789942 -13.404064813357337 -11.511113426826881 -9.747148176424588 -10.007268822885109 -8.4977819778271027 -8.116941724757595 -7.4093949580918945 -7.1249442747556202 -8.5156420767042391 -8.5034332023152501 -7.2447332163205687 -6.5751939549701603 -5.7733395366446132 -6.6199896579551165 -7.2525056707822131 -7.0506254874536864 -6.303827917889592 -6.700276832034092 -7.1657769389410362 -8.4772064225964101 -9.4356459306423943 -10.378827310180426 -10.289650523606923 -9.794599159694144 -8.4659707512245035 -9.1399362915766318 -9.0178375227608285 -7.9013464525446153 -7.8420608294593706 -8.9063257562420972 -9.3933735788268677 -9.1954247019840238 -8.7464010569816679 -8.1550902362188111 -6.3685121029137122 -5.6976998711887319 -2.3643410598922543 -1.4588129206748732 1.1047781135445547 2.4981210095110242 0.91323502301523263 0