An Analysis of the Price-Inventory Nexus with Empirical Application to the Canadian Manufacturing Sector

1969 ◽  
Vol 10 (3) ◽  
pp. 315 ◽  
Author(s):  
Thomas J. Courchene
Keyword(s):  
Manufacturing Sector ◽  
Empirical Application ◽  
Canadian Manufacturing

scholarly journals Technical Efficiency and Technical Change in Canadian Manufacturing Industries

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Samuel Gamtessa
Keyword(s):  
Technical Efficiency ◽  
Technical Change ◽  
Fixed Effects ◽  
Manufacturing Sector ◽  
Stochastic Frontier ◽  
Manufacturing Industries ◽  
Omitted Variables ◽  
Dynamic Panel ◽  
Data Set ◽  
Canadian Manufacturing

This study applies the “true fixed effects” panel stochastic frontier methodology to the Canadian KLEMS data set to estimate technical change and technical efficiency in the Canadian manufacturing sector. To account for the endogeneity of capital inputs as well as the possible problems related to omitted variables, a two-stage residual inclusion method is pursued. The first stage is estimated using the dynamic panel GMM method. The results show that Canadian manufacturing industries experienced significant declines in technical efficiencies during the last ten years. This suggests that the observed slowdown in TFP growth during the recent past is partly due to declining technical efficiency.

Globalization and Wage Inequality in the Canadian Manufacturing Sector: A Time Series Analysis

2006 ◽  
Vol 6 (2) ◽  
pp. 1850085 ◽  
Author(s):  
Gilles Grenier ◽  
Akbar Tavakoli
Keyword(s):  
Time Series ◽  
Wage Inequality ◽  
Wage Gap ◽  
Manufacturing Sector ◽  
Harmful Effect ◽  
Union Density ◽  
Skilled Workers ◽  
Capital Labor Ratio ◽  
Investment Capital ◽  
Canadian Manufacturing

The deteriorating economic position of low-skilled workers relative to high-skilled workers appears to be one harmful effect of the economic globalization that took place during the 1980s and 1990s. In the present paper, we perform a time series investigation for Canada using as the dependent variable the relative wages of production and non-production workers in the manufacturing sector between 1970 and 2001. The independent variables include R&D, union density, immigration, imports from non-OECD countries, foreign direct investment, capital labor ratio, and number of workers in each group. The results show that the R&D expenditures and union density are two important variables in the explanation of the widening wage gap. The effects of immigration, imports, and FDI on wage inequality are found to be moderate.

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