Abstract:In this article we analyse the industrial impact of monetary shocks since inflation targeting has been introduced in Australia (1990). These impacts are quantified by constructing a structural vector autoregressive (SVAR) model for a small open economy. Our results show that construction and manufacturing industries exhibit a significant reduction in gross value added (GVA) after an unanticipated rise in the official cash rate. However, the finance and insurance industry, and the mining industry, seem to be un… Show more
“…Consistent with existing Australian SVAR literature (Brischetto and Voss, 1999;Berkelmans, 2005;Lawson and Rees, 2008;Vespignani, 2013), real Australian GDP ܲܦܩܣ( ି௧ ) is used as a measure of domestic output. Following Jääskelä andSmith (2011) andDungey, Fry-Mckibbin andLinehan (2014), non-farm GDP is used, as farm GDP can suffer from extreme short-term volatility due to weather effects.…”
Section: Domestic Variablesmentioning
confidence: 51%
“…In order to analyse industry specific responses, the variable ܲܦܩܣ ି௧ is defined as Australian GDP minus the GVA of industry i. This method follows Lawson and Rees (2008) and Vespignani (2013) and ensures that ܲܦܩܣ ି௧ and ܦܰܫ ௧ sum to total Australian nonfarm GDP when analysing each individual industry. ܦܰܫ ௧ is the real GVA of industry i.…”
Section: Domestic Variablesmentioning
confidence: 99%
“…The second group of variables represents the Australian economy and builds on the models of Dungey and Pagan (2000), Lawson and Rees (2008), Vespignani (2013) and Dungey, Fry-Mckibbin and Linehan (2014).…”
Section: Domestic Variablesmentioning
confidence: 99%
“…These foreign variables are specified as strictly exogenous, which follows Jacobs and Rayner (2012) and Vespignani (2013). ܦܰܫ ௧ is contemporaneously affected by commodity prices and Australian GDP.…”
Section: Identification Restrictionsmentioning
confidence: 99%
“…4 The start date coincides with the start of inflation targeting by the Reserve Bank of Australia. Dungey and Pagan (2000), Jääskelä and Smith (2011) and Dungey, Fry-Mckibbin and Linehan (2014), while also integrating the methodology of analysing specific industries, as in Lawson and Rees (2008) and Vespignani (2013).…”
It is found that commodity price shocks largely affect the mining, construction and manufacturing industries in Australia. However, the financial and insurance sector is found to be relatively unaffected. Mining industry profits and nominal output substantially increase in response to commodity price shocks. Construction output is also found to increase significantly, especially in response to a bulk commodities shock, as a result of increased demand for resource related construction. Increased demand for construction has a positive spillover effect to parts of the manufacturing industry that supply the construction sector with intermediate inputs, such as the non-metallic mineral sub industry. In contrast, other manufacturing sub industries with only tenuous links to the resources sector such as textiles, clothing and other manufacturing, are relatively unresponsive to commodity price shocks.
“…Consistent with existing Australian SVAR literature (Brischetto and Voss, 1999;Berkelmans, 2005;Lawson and Rees, 2008;Vespignani, 2013), real Australian GDP ܲܦܩܣ( ି௧ ) is used as a measure of domestic output. Following Jääskelä andSmith (2011) andDungey, Fry-Mckibbin andLinehan (2014), non-farm GDP is used, as farm GDP can suffer from extreme short-term volatility due to weather effects.…”
Section: Domestic Variablesmentioning
confidence: 51%
“…In order to analyse industry specific responses, the variable ܲܦܩܣ ି௧ is defined as Australian GDP minus the GVA of industry i. This method follows Lawson and Rees (2008) and Vespignani (2013) and ensures that ܲܦܩܣ ି௧ and ܦܰܫ ௧ sum to total Australian nonfarm GDP when analysing each individual industry. ܦܰܫ ௧ is the real GVA of industry i.…”
Section: Domestic Variablesmentioning
confidence: 99%
“…The second group of variables represents the Australian economy and builds on the models of Dungey and Pagan (2000), Lawson and Rees (2008), Vespignani (2013) and Dungey, Fry-Mckibbin and Linehan (2014).…”
Section: Domestic Variablesmentioning
confidence: 99%
“…These foreign variables are specified as strictly exogenous, which follows Jacobs and Rayner (2012) and Vespignani (2013). ܦܰܫ ௧ is contemporaneously affected by commodity prices and Australian GDP.…”
Section: Identification Restrictionsmentioning
confidence: 99%
“…4 The start date coincides with the start of inflation targeting by the Reserve Bank of Australia. Dungey and Pagan (2000), Jääskelä and Smith (2011) and Dungey, Fry-Mckibbin and Linehan (2014), while also integrating the methodology of analysing specific industries, as in Lawson and Rees (2008) and Vespignani (2013).…”
It is found that commodity price shocks largely affect the mining, construction and manufacturing industries in Australia. However, the financial and insurance sector is found to be relatively unaffected. Mining industry profits and nominal output substantially increase in response to commodity price shocks. Construction output is also found to increase significantly, especially in response to a bulk commodities shock, as a result of increased demand for resource related construction. Increased demand for construction has a positive spillover effect to parts of the manufacturing industry that supply the construction sector with intermediate inputs, such as the non-metallic mineral sub industry. In contrast, other manufacturing sub industries with only tenuous links to the resources sector such as textiles, clothing and other manufacturing, are relatively unresponsive to commodity price shocks.
It is found that commodity price shocks largely affect the mining, construction and manufacturing industries in Australia. However, the financial and insurance sector is found to be relatively unaffected. Mining industry profits and nominal output substantially increase in response to commodity price shocks. Construction output is also found to increase significantly, especially in response to a bulk commodities shock, as a result of increased demand for resource related construction. Increased demand for construction has a positive spillover effect to parts of the manufacturing industry that supply the construction sector with intermediate inputs, such as the non-metallic mineral sub industry. In contrast, other manufacturing sub industries with only tenuous links to the resources sector such as textiles, clothing and other manufacturing, are relatively unresponsive to commodity price shocks.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.