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Business Cycle Properties and Macro Forecasting of the Australian Economy
Executive Summary
Business cycle properties and the macro forecasting of the economy of Australia can be appropriately accomplished utilising the necessary parameters or economic indicators. Hence the ability to effectively use these economic indicators facilitates precise and accurate forecasting of the economy. Therefore, these economic indicators have been widely used in the process of forecasting the direction which is likely to be taken by a country’s economy.
In this report seven major economic indicators have been considered to enable forecasting of the Australian economy using judgemental approach. These economic indicators include: inflation rate; private final consumption; inventory investment; gross fixed investment, nominal exchange rate between Australia and the United States; unemployment rate as well as labour productivity. The utilisation of these economic indicators has played a significant role to facilitate forecasting of the Australian economy through their keen evaluation and detrending. Analysis Australian Economy
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Introduction
Conducting effective analysis of economic indicators of any country is one of the most appropriate ways of forecasting the future performance of such economy. This approach has often been used to predict the expected performance of the Australian economy in future for quite some time (Fisher, Otto and Voss, 1996). Hence the practice of utilising business cycle properties in the forecasting of the economy in Australia is widespread.
In particular, three approaches are essentially used in the forecasting of a country’s macroeconomics such as: judgemental forecasting, statistical forecasting, and model forecasting. However, judgemental forecasting which is going to be used in this report analysis involves gathering various kinds of data and information from official sources, to aid future macroeconomic forecasting activity on the basis of one’s informal judgement concerning the way in a country’s economy works (Evans, 2009).
Analysis Australian Economy
However, there are certain properties of business cycles which enable them to be effectively used in combination with other economic indicators in the forecasting of the economy (Evans, 2009). For instance, the business cycle properties used in facilitating the forecasting of the Australian economy include: aggregate economic activity fluctuations; business cycles are not periodic but recurrent; business cycles contraction/recession and expansion/boom meaning they have a trough and a peak both of which act as the turning points; business cycles are indicative of economic activity persistence and also business cycles have comovements of many macro variables (Edey, 5).
Thus, the significance of conducting this empirical analysis of the Australian economy is to reiterate the fact that as an economist whether in the government or private sector, often analysis of economic information, data and policies will be inevitable in order to enable the process of making informed managerial or economic decisions (Fisher, Otto and Voss, 1996).
Therefore, this report will specifically consider certain economic indicators as means of forecasting Australian economy such as inflation rate, private final consumption, inventory investment, gross fixed investment, nominal exchange rate between Australia and the United States, unemployment rate and labour productivity.
Analysis
Inflation rate
Analysis Australian Economy
Table 1: Analytical measures of consumer price inflation (CPI)
Quarterly | The rate of quarterly consumer price inflation (CPI) |
Mar 1996 | 0.4 |
Jun 1996 | 0.7 |
Sep 1996 | 0.3 |
Dec 1996 | 0.2 |
Mar 1997 | 0.2 |
Jun 1997 | -0.3 |
Sep 1997 | -0.4 |
Dec 1997 | 0.3 |
Mar 1998 | 0.3 |
Jun 1998 | 0.6 |
Sep 1998 | 0.2 |
Dec 1998 | 0.5 |
Mar 1999 | -0.1 |
Jun 1999 | 0.4 |
Sep 1999 | 0.9 |
Dec 1999 | 0.8 |
Mar 2000 | 3.8 |
Jun 2000 | 3.7 |
Sep 2000 | 0.3 |
Dec 2000 | 1.1 |
Mar 2001 | 0.8 |
Jun 2001 | 0.3 |
Sep 2001 | 0.9 |
Dec 2001 | 0.9 |
Mar 2002 | 0.7 |
Jun 2002 | 0.7 |
Sep 2002 | 1.3 |
Dec 2002 | 0.0 |
Mar 2003 | 0.6 |
Jun 2003 | 0.5 |
Sep 2003 | 0.9 |
Dec 2003 | 0.5 |
Mar 2004 | 0.9 |
Jun 2004 | 0.5 |
Sep 2004 | 0.4 |
Dec 2004 | 0.8 |
Mar 2005 | 0.7 |
Jun 2005 | 0.6 |
Sep 2005 | 0.9 |
Dec 2005 | 0.5 |
Mar 2006 | 0.9 |
Jun 2006 | 1.6 |
Sep 2006 | 0.9 |
Dec 2006 | -0.1 |
Mar 2007 | 0.1 |
Jun 2007 | 1.2 |
Sep 2007 | -0.3 |
Dec 2007 | 0.1 |
Mar 2008 | 0.5 |
Jun 2008 | 1.0 |
Sep 2008 | 0.5 |
Dec 2008 | 0.9 |
Mar 2009 | 0.6 |
Jun 2009 | 0.7 |
Sep 2009 | 0.4 |
Dec 2009 | 1.6 |
Mar 2010 | 0.9 |
Jun 2010 | 0.6 |
Sep 2010 | 0.0 |
Dec 2010 | 0.1 |
Mar 2011 | 0.5 |
Jun 2011 | 0.9 |
Sep 2011 | 0.6 |
Dec 2011 | 0.0 |
Mar 2012 | 0.1 |
Jun 2012 | 0.5 |
Sep 2012 | 0.4 |
Source: The Australian Bureau of Statistics (ABS)
Inventory investment
Inventory investment in the business cycle refers to the inventories as all materials such as finished goods that are business owned and work in progress, whether at business locations or elsewhere. The business holds these items anticipating selling a product. However, inventory investment is usually regarded as an additional contribution to GDP. Fluctuations in inventories which an often phenomenon plays a significant role in the amplification and exacerbation of the business cycle as well as continuing to significantly affect GDP growth negatively at times of economic downturn (Evans, 2009).
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Gross fixed investment
Gross fixed investment involves the entry records totalling to business spending based on fixed assets, such as machinery, factories, dwellings, equipment and raw materials inventories, which are essential in providing the basis for production in future (Evans, 2009). Therefore, gross fixed investment is measured gross asset’s depreciation including investment that is necessary as a mere replacement of scrapped or worn-out capital.
Table 2: Gross fixed investment rate and percentage
Year | Investment | Per cent Change |
1996 | 24.318 | -1.91 % |
1996 | 24.318 | 0.00 % |
1997 | 23.855 | -1.90 % |
1997 | 23.855 | 0.00 % |
1998 | 25.98 | 8.91 % |
1998 | 25.98 | 0.00 % |
1999 | 26.129 | 0.57 % |
1999 | 26.129 | 0.00 % |
2000 | 24.803 | -5.07 % |
2000 | 24.803 | 0.00 % |
2001 | 23.19 | -6.50 % |
2001 | 23.19 | 0.00 % |
2002 | 24.825 | 7.05 % |
2002 | 24.825 | 0.00 % |
2003 | 26.618 | 7.22 % |
2003 | 26.618 | 0.00 % |
2004 | 27.038 | 1.58 % |
2004 | 27.038 | 0.00 % |
2005 | 27.855 | 3.02 % |
2005 | 27.855 | 0.00 % |
2006 | 27.549 | -1.10 % |
2006 | 27.549 | 0.00 % |
2007 | 29.259 | 6.21 % |
2007 | 29.259 | 0.00 % |
2008 | 29.541 | 0.96 % |
2008 | 29.541 | 0.00 % |
2009 | 27.853 | -5.71 % |
2009 | 27.853 | 0.00 % |
2010 | 27.592 | -0.94 % |
2010 | 27.592 | 0.00 % |
Source: The Australian Bureau of Statistics (ABS)
Nominal exchange rate between Australia and the United States dollar
The nominal exchange rate is the value at which a currency of one country exchanges with that of the other country. For instance the nominal exchange rate between the Australian and United States dollar is the value at which the Australian dollar exchanges with that of the United States. The nominal exchange is an economic indicator because it implies the strength of the local currency against other global currencies.
The higher the demand of the local currency, the higher the value meaning the economy is stronger. As shown in the table below outlining the quarterly exchange rates between the Australian and United States dollar from the year 1996 to present it is evident that there is significant variation even though there is a gradual progressive decline in the value of the Australian dollar against the united stated dollar. This may imply a weakening of the Australian economy against that of the United States.
Table 3: Exchange rate between Australian dollar and the US dollar
Quarterly | Exchange rate between Australian dollar and the US dollar |
Mar 1996 | 0.7793 |
Jun 1996 | 0.7890 |
Sep 1996 | 0.7924 |
Dec 1996 | 0.7965 |
Mar 1997 | 0.7865 |
Jun 1997 | 0.7455 |
Sep 1997 | 0.7198 |
Dec 1997 | 0.6527 |
Mar 1998 | 0.6634 |
Jun 1998 | 0.6135 |
Sep 1998 | 0.5945 |
Dec 1998 | 0.6139 |
Mar 1999 | 0.6293 |
Jun 1999 | 0.6596 |
Sep 1999 | 0.6536 |
Dec 1999 | 0.6538 |
Mar 2000 | 0.6055 |
Jun 2000 | 0.5986 |
Sep 2000 | 0.5433 |
Dec 2000 | 0.5540 |
Mar 2001 | 0.4890 |
Jun 2001 | 0.5075 |
Sep 2001 | 0.4923 |
Dec 2001 | 0.5106 |
Mar 2002 | 0.5316 |
Jun 2002 | 0.5648 |
Sep 2002 | 0.5435 |
Dec 2002 | 0.5662 |
Mar 2003 | 0.6036 |
Jun 2003 | 0.6674 |
Sep 2003 | 0.6801 |
Dec 2003 | 0.7500 |
Mar 2004 | 0.7589 |
Jun 2004 | 0.6889 |
Sep 2004 | 0.7147 |
Dec 2004 | 0.7790 |
Mar 2005 | 0.7719 |
Jun 2005 | 0.7636 |
Sep 2005 | 0.7615 |
Dec 2005 | 0.7337 |
Mar 2006 | 0.7159 |
Jun 2006 | 0.7433 |
Sep 2006 | 0.7480 |
Dec 2006 | 0.7913 |
Mar 2007 | 0.8070 |
Jun 2007 | 0.8487 |
Sep 2007 | 0.8827 |
Dec 2007 | 0.8816 |
Mar 2008 | 0.9180 |
Jun 2008 | 0.9626 |
Sep 2008 | 0.7996 |
Dec 2008 | 0.6928 |
Mar 2009 | 0.6873 |
Jun 2009 | 0.8114 |
Sep 2009 | 0.8801 |
Dec 2009 | 0.8969 |
Mar 2010 | 0.9159 |
Jun 2010 | 0.8523 |
Sep 2010 | 0.9667 |
Dec 2010 | 1.0163 |
Mar 2011 | 1.0334 |
Jun 2011 | 1.0739 |
Sep 2011 | 0.9781 |
Dec 2011 | 1.0156 |
Mar 2012 | 1.0402 |
Jun 2012 | 1.0191 |
Sep 2012 | 1.0404 |
Source: Reserve Bank of Australia
Unemployment rate
The Australia’s unemployment rate which can be seasonally adjusted increased to 5.4 per cent in September, according to the Australian Bureau of Statistics (ABS) results that were released on October 11. However, there has also not been a widespread unemployment rate in Australia and as ABS reports in September there was an increase in the number of people employed from 14,500 to 11,511,900 as a result of full-time employment increase.
Moreover, there was also an increased in the unemployed people by 38,800 in September only. Therefore, the ABS monthly aggregate of the number of hours worked, it is evident that a considerable number of hours are used at work at work places in both part time and full time employment places. In addition, according to the Australian Bureau of Statistics (2012) the labour fore participation rate which can be seasonally adjusted increased to 65.2 per cent in the month of September.
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Table 4: Australia unemployment rate
Quarterly | Australia unemployment rate |
Mar 1996 | 8.2 |
Jun 1996 | 8 |
Sep 1996 | 8.3 |
Dec 1996 | 8.4 |
Mar 1997 | 8.4 |
Jun 1997 | 8.2 |
Sep 1997 | 8.1 |
Dec 1997 | 7.9 |
Mar 1998 | 7.9 |
Jun 1998 | 7.7 |
Sep 1998 | 7.3 |
Dec 1998 | 7.1 |
Mar 1999 | 6.7 |
Jun 1999 | 7 |
Sep 1999 | 6.5 |
Dec 1999 | 6.6 |
Mar 2000 | 6.2 |
Jun 2000 | 6 |
Sep 2000 | 6.3 |
Dec 2000 | 6.5 |
Mar 2001 | 6.9 |
Jun 2001 | 6.8 |
Sep 2001 | 7 |
Dec 2001 | 6.4 |
Mar 2002 | 6.5 |
Jun 2002 | 6.3 |
Sep 2002 | 6.2 |
Dec 2002 | 6.1 |
Mar 2003 | 6.1 |
Jun 2003 | 5.8 |
Sep 2003 | 5.5 |
Dec 2003 | 5.4 |
Mar 2004 | 5.5 |
Jun 2004 | 5.4 |
Sep 2004 | 5.1 |
Dec 2004 | 5.2 |
Mar 2005 | 5 |
Jun 2005 | 5.1 |
Sep 2005 | 5.1 |
Dec 2005 | 4.9 |
Mar 2006 | 4.8 |
Jun 2006 | 4.7 |
Sep 2006 | 4.6 |
Dec 2006 | 4.4 |
Mar 2007 | 4.3 |
Jun 2007 | 4.2 |
Sep 2007 | 4.2 |
Dec 2007 | 4.1 |
Mar 2008 | 4.2 |
Jun 2008 | 4.3 |
Sep 2008 | 4.6 |
Dec 2008 | 5.7 |
Mar 2009 | 5.8 |
Jun 2009 | 5.7 |
Sep 2009 | 5.3 |
Dec 2009 | 5.4 |
Mar 2010 | 5.1 |
Jun 2010 | 5.1 |
Sep 2010 | 4.9 |
Dec 2010 | 4.9 |
Mar 2011 | 4.9 |
Jun 2011 | 5.2 |
Sep 2011 | 5.1 |
Dec 2011 | 5.2 |
Mar 2012 | 5.1 |
Jun 2012 | 5.1 |
Sep 2012 | 5.4 |
Source: Reserve Bank of Australia
Labour productivity
Improved labour productivity usually leads to a strong gross domestic product (GDP) result. For instance, in the second quarter of 2011 there was a tremendous increase in the labour productivity in Australia by 1.5% leading to an adjustment of the inflation. Thus labour productivity can be described as generated output in a single hour of work which is being undertaken.
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According to Australian Bureau of Statistics (2012) from which the data used to generate graph below was obtained the month of June 2011 recorded a tremendous fell of national labour productivity which represented the second worst annual performance of the labour productivity since the year 1996. A high labour productivity implies increased production at reduced cost a phenomenon which is very appropriate for the economy growth.
Private final consumption
Private financial consumption and especially the private financial consumption expenditure have been widely used as an essential economy indicator. Thus, it can be used in forecasting where the economy is headed.
Table 4: Private consumption expenditure volume index in Australia
Period | Private consumption expenditure volume index in Australia |
2005-06 | 122.3 |
2006-07 | 127.2 |
2007-08 | 131.9 |
Seasonally adjusted | |
2006-2007DecemberMachJune | 126.9 |
128.3 | |
129.0 | |
2007-2008SeptemberDecemberMarch | 130.4 |
132.0 | |
132.7 | |
2008-2009JuneSeptemberDecember | 132.5 |
132.6 | |
132.7 |
Source: The Australian Bureau of Statistics (ABS)
Conclusion
In conclusion, the business cycle properties in addition to the judgemental forecasting approach utilised in this report can be effectively used to predict the future economy performance in a precise manner.
Bibliography
Australian Bureau of Statistics, (2012), Australian Economic Indicators. Retrieved on 15th October 2012 from: http://www.abs.gov.au/AUSSTATS/abs@.nsf/mf/1350.0?opendocument#from-banner=LN
Edey, M. “The Economy in Late 2008: Conditions and Prospects”, Australia & Japan Economic Outlook Conference 2008, Sydney – 19 November, http://www.rba.gov.au/Speeches/2008/sp_ag_191108.html
Evans, W. (2009), “We have revised our growth and rate forecast”, unpublished report by Westpac, 28 January.
Fisher, L., Otto, G. and G. Voss (1996), “Australian Business Cycle Facts”, Australian Economic Papers, 35(67), 300-320.
Reserve Bank of Australia, (2012), Statistical tables. Retrieved on 15th October 2012 from: http://www.rba.gov.au/statistics/tables/index.html#prices_inflation
Watson, M. “Macroeconomic Forecasting”, entry for The New Palgrave Dictionary, 2nd edition, edited by Lawrence Blume and Steven Durlauf.
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