Table A1
Inter-industry effects for stochastic and gainers-versus-losers counterfactuals
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| IndustryNote 1 | Inter-industry structural adjustment | |||||
|---|---|---|---|---|---|---|
| 1990s | 2000s | |||||
| Stochastic | Gainers versus losers | Difference | Stochastic | Gainers versus losers | Difference | |
| percentage points | ||||||
| Agriculture, forestry, fishing and hunting | 0.13 | 0.04 | 0.10 | 0.13 | 0.20 | -0.07 |
| Mining and oil and gas extraction | 0.02 | -0.02 | 0.04 | -0.05 | -0.05 | 0.00 |
| Utilities | 0.01 | -0.05 | 0.06 | -0.01 | 0.10 | -0.11 |
| Construction | 0.18 | 0.11 | 0.07 | -0.27 | -0.17 | -0.10 |
| Manufacturing | 0.27 | 0.27 | 0.00 | 0.40 | 0.53 | -0.13 |
| Wholesale trade | -0.07 | -0.12 | 0.05 | 0.03 | 0.15 | -0.13 |
| Retail trade | 0.04 | -0.01 | 0.05 | -0.03 | 0.09 | -0.12 |
| Transport and warehousing | -0.04 | -0.10 | 0.05 | 0.00 | 0.10 | -0.09 |
| Information and cultural industries | -0.04 | -0.11 | 0.07 | 0.00 | 0.12 | -0.12 |
| Finance, insurance, real estate and renting and leasing | 0.01 | -0.04 | 0.04 | -0.06 | 0.01 | -0.07 |
| Professional, scientific and technical services | -0.20 | -0.24 | 0.04 | -0.07 | 0.02 | -0.09 |
| Administrative and support, waste management and remediation services | -0.13 | -0.16 | 0.02 | -0.07 | 0.04 | -0.11 |
| Arts, entertainment and recreation | -0.04 | -0.09 | 0.04 | -0.01 | 0.11 | -0.11 |
| Accommodation and food services | -0.05 | -0.09 | 0.04 | 0.02 | 0.09 | -0.07 |
| Other private services | -0.11 | -0.11 | 0.00 | -0.02 | 0.10 | -0.12 |
Source: Statistics Canada, authors' calculations based on data from CANSIM table 383-0021. |
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