RDP 2003-10: Productivity and Inflation 3. Previous Research
September 2003
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Early research into the inflation-productivity nexus was stimulated by the experience of high inflation of the 1970s and the subsequent fall in productivity growth. Most of the literature has debated the statistical question of whether the data support any relationship, and if so, the causal direction. Minimal work explores the theoretical side, or how inflation may be transmitted into slower productivity growth and vice versa. By country, a range of literature examines the relationship in the G7 economies, but we are aware of no comprehensive and conclusive recent Australian study of the inflation-productivity relationship. Further, all these studies only observe the relationship at the aggregate level without gaining from potential industry-specific insights. Notwithstanding this, we glean some useful points from what's gone before. (Table 2 summarises the literature's findings.)
Paper |
Sample |
Productivity measure |
Significant relationship |
Causal direction |
|
---|---|---|---|---|---|
Inflation productivity growth |
Productivity growth inflation |
||||
Jarrett and Selody(1982) | Canada aggregate: 1963:Q2–1979:Q4 |
Labour (hours) | Yes | Yes | Yes |
Clark (1982) | US aggregate: 1947:Q1–1981:Q2 |
Labour | Yes | Yes | No |
Ram (1984) | US aggregate: 1953:Q1–1982:Q4 |
Labour (hours) | Yes | Yes | No |
Buck and Fitzroy (1988) | West Germany (40 industries): 1950–1977 (annual) |
Multifactor | Yes | Yes | No |
Saunders and Biswas (1990) | UK aggregate: 1977:Q3–1985:Q2 |
Labour (hours) | Yes | Yes | No |
Sbordone and Kuttner (1994) | US: 1947:Q1–1994:Q2 |
Non-farm business labour |
Yes | Weakly, yes | No |
Smyth (1995a) | West Germany aggregate: 1951–1991 |
Multifactor | Yes | Not tested | Not tested |
Smyth (1995b) | US: 1955–1990 Private business Private non-farm business Manufacturing |
Multifactor | Yes Yes Yes |
Not tested | Not tested |
Cameron, Hum and Simpson (1996) | US, UK, Canada: 1953–1991 West Germany: 1960–1991 |
Labour (employment) |
May affect growth, not level of productivity |
No | No |
Chowdhury and Mallik (1998) | Australia: 1958–1996 and 1968:Q1–1997:Q3 New Zealand: 1968–1996 |
Labour (employment) |
No clear findings for levels or growth |
Not tested | Not tested |
Freeman and Yerger (2000) | 12 OECD economies(a): 1961–1994 (annual) |
Manufacturing labour (hours) |
Only in a minority of countries |
Only in a minority of countries |
No |
Tsionas (2001) | European economies(b): 1960–1997 |
Multifactor | No long-run relationship | Belgium, Finland, France, Germany, Greece, Ireland, UK |
Belgium, France, Germany, Greece, UK |
Tsionas (2003) | 15 European economies: 1960–1997 |
Country-specific productivity index (Baltagi, Griffin and Rich 1995) |
In some countries | Belgium, Finland, France, Germany, Greece, Ireland, UK |
Belgium, France, Germany, Greece, UK |
Notes: (a) Economies studied were Belgium, Canada, Denmark, France, Germany,
Italy, Japan, Netherlands, Norway, Sweden, UK, and US. |
The early view was a little circumspect about the nature of any relationship between productivity growth and inflation. Nonetheless, both Keynesian and neoclassical theory (e.g., Lucas's (1973) simple model of an output-inflation trade-off) suggest a negative relationship. Into this context, the earliest papers sought to reconcile the observed North American acceleration in inflation and following decline in productivity growth. Jarret and Selody (1982) proposed two rationales for this occurrence: that the tax system's lack of neutrality during periods of inflation increases the private sector's tax burden,[5] and that inflation's increasing variance with higher levels of inflation would cause sub-optimal resource allocations and increase the probability of ‘entrepreneurial error’, hence reducing investment. Using 1963–1979 Canadian data, Jarret and Selody found a bi-directional relationship, with the rise in inflation explaining nearly the entire slowdown in productivity growth. US data over the period 1948–1981 demonstrate a similar correlation, with causation running one-way from higher inflation to slower productivity growth (Clark 1982).[6] Methodologically, these studies apply Granger-type causality tests to OLS (Clark 1982; Ram 1984) or Full Information Maximum Likelihood (Jarret and Selody 1982) estimations.
A second group of papers took up the debate in the mid 1990s. These had the advantage of being able to observe the productivity growth-inflation relationship after the 1980s' disinflation, and also draw on the experience of a wider range of G7 economies. They are more equivocal about the existence of any relationship.
A further group of papers is sceptical of any inflation-productivity growth relationship. These papers take two tacks. One approach is to argue that the results show that the business cycle drives simultaneous variations in both productivity growth and inflation, not a long-run relationship.[7] The stylised facts have productivity growth peaking ahead of the business cycle, with inflation then accelerating. In response, the monetary authorities increase interest rates, thus slowing output growth hence productivity growth through the effects of labour hoarding. Inflation's slow-down lags that of the real economy. Thus, an appropriate model of the productivity growth-inflation relationship must absorb the business cycle through variables such as real interest rates, the output gap, or variations in GDP growth.
The other critique argues the statistical point that productivity growth and inflation have different orders of integration.[8] These studies claim inflation is non-stationary while productivity growth is stationary, and therefore there cannot be a long-run relationship. Statistically speaking, this seems a not unreasonable complaint. Nonetheless, there is much debate about whether inflation is better characterised as an I(1) process or as stationary around a broken trend. For example, Hendry (2001) finds that UK inflation is best characterised as I(0) but non-stationary due to regime breaks over a very long sample. If this is the case, the observation that one cannot reject that inflation is I(1) over a particular sample does not necessarily lead to the conclusion that it could not possibly be related to productivity growth.[9]
In summary, we take several points from the literature. Methodologically, the literature is uniform in its approach. Almost all the papers run Granger causality tests, or a close relative, VAR models. Second, there does appear to be a relationship between productivity growth and inflation, and, where it is determinable, the causality appears to flow from inflation to productivity growth. Third, two pitfalls are to be avoided: ignoring the macroeconomic context of the inflation-productivity growth relationship; and ignoring the statistical issues of correlating series with potentially different orders of integration. A final point is that we could find no comprehensive and satisfactory Australian study of the inflation-productivity growth relationship. Our study addresses this gap.
Footnotes
See, e.g., Feldstein (1982a, 1982b). [5]
Ram (1984) reaches the same conclusion, using a CPI-based measure of inflation. [6]
E.g., Sbordone and Kuttner (1994); Freeman and Yerger (2000). [7]
E.g., Sbordone and Kuttner (1994); Cameron et al (1996); Freeman and Yerger (2000); Tsionas (2003). [8]
Hall (1999) argues emphatically that inflation should be treated as mean-reverting, even if it may statistically appear otherwise. [9]