<p class="MsoBlockText" style="margin: 0in 31.5pt 0pt;"><span style="font-style: normal; font-size: 10pt; mso-bidi-font-style: italic;"><span style="font-family: Times New Roman;">The period of 1963-1988 witnessed a tremendous decline in U.S. steel employment while the real wage rate increased slightly in the industry.<span style="mso-spacerun: yes;"> </span>There is a popular notion that the nominal wage rate is the major factor in explaining the declining steel employment.<span style="mso-spacerun: yes;"> </span>This study examines the decline in a system of input demand equations based on time series data.<span style="mso-spacerun: yes;"> </span>The study identifies a heavy cap-italization in the industry as the driving factor for the steel employment decline.<span style="mso-spacerun: yes;"> </span>This result supports the claim that the high wage rate in the industry is backed up by high productivity and therefore is not responsible for the steel employment decline.<span style="mso-spacerun: yes;"> </span>Also, the study finds a lot of input substitutions.<span style="mso-spacerun: yes;"> </span>The study finds diseconomies of scale in the industry, which may explain the decline of the industry.</span></span></p>
This study examines the relationship between the real wage rate and productivity in the U.S. steel industry in the critical period of 1963-1988. This period witnessed a declining steel output and employment, increasing productivity, and a slight increasing real wage rate. The severity of the decline was felt in the 1980s. The popular explanation focuses on the nominal wage rate relative to productivity (non-nominal value). The study is based on high-frequency monthly data set on output, employment, productivity, wage rate, factor prices, and national unemployment rate. First, OLS and Instrumental Variable (IV) estimates show that productivity is the key variable for explaining the real wage rate. Second, like in the literature, the study finds that heavy and autonomous capitalization has an impact on the rising productivity. Third, the study identifies an inter-temporal high real wage rate as the driving factor for explaining the short run real wage rate. These results are somewhat sensitive across specifications. Also control factors are constructed for the steel import protection and non-protection regimes. Some econometric modeling issues are addressed. Recognizing that productivity is stochastic and is potentially an endogenous variable, it is instrumented with a set of productivity-related variables including controls for various steel protection and non-protection regimes. Third, the wage in the industry is modeled as a function of exogenous productivity, price of steel products, national unemployment rate, and real interest rate. Serial correlation characterizes the data, and this is corrected with inter-temporal effect of the real wage rate, and with a differencing model. The main results of the study are threefold. I. INTRODUCTIONhis study covers a critical period in the history of U.S. steel industry. The period witnessed declining steel output and employment, increasing productivity, a slight increasing real wage rate, multiple steel protection and non-protection regimes, and overcapitalization. The protection regimes are intended to restrict steel imports, thereby boosting output and employment that are used for constructing the productivity. Without using estimation procedures, Barnett & Schorsch, 1983, for example, explains the industry's nominal wage rate by productivity (output per worker). Nominal wage rate could be rising without being influenced by productivity (non-nominal values).Heavy and autonomous capitalization in the industry is noted to have impact on productivity. Investments leading to capital expansion in the 1950s led to a heavy capitalization, and technology was not upgraded (Barnett & Schorsch 1983, pp. 13, 27). As foreign competitors increased their use of modern technologies (especially the Japanese investments in continuous casting technology in the 1980s), the U.S steel industry was challenged to invest in similar technologies (Hogan, 1983, pp. 6-7, 77, 80, 108-109). With these technical changes U.S. steel used a lot of capital and technology, which boosted product...
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This study examines the relationship between the real wage rate and productivity in the U.S. steel industry in the critical period of 1963-1988. This period witnessed a declining steel output and employment, increasing productivity, and a slight increasing real wage rate. The severity of the decline was felt in the 1980s. The popular explanation focuses on the nominal wage rate relative to productivity (non-nominal value). The study is based on high-frequency monthly data set on output, employment, productivity, wage rate, factor prices, and national unemployment rate. Also control factors are constructed for the steel import protection and non-protection regimes. Some econometric modeling issues are addressed. Recognizing that productivity is stochastic and is potentially an endogenous variable, it is instrumented with a set of productivity-related variables including controls for various steel protection and non-protection regimes. Third, the wage in the industry is modeled as a function of exogenous productivity, price of steel products, national unemployment rate, and real interest rate. Serial correlation characterizes the data, and this is corrected with inter-temporal effect of the real wage rate, and with a differencing model. The main results of the study are threefold.First, OLS and Instrumental Variable (IV) estimates show that productivity is the key variable for explaining the real wage rate. Second, like in the literature, the study finds that heavy and autonomous capitalization has an impact on the rising productivity. Third, the study identifies an inter-temporal high real wage rate as the driving factor for explaining the short run real wage rate.These results are somewhat sensitive across specifications.
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