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Table 9 Production functions – first differences estimates dependent variable: change in log output per worker

From: Do high-skill immigrants raise productivity? Evidence from Israeli manufacturing firms, 1990-1999

 

Sample: all available firms

Sample: balanced sample

 

1990-1993

1993-1997

Pooled

1990-1993

1993-1997

Pooled

Share Immigrants

-0.048 (0.059)

-0.094** (0.042)

-0.073** (0.030)

0.065 (0.067)

-0.056 (0.042)

-0.029 (0.036)

Log capital per worker

0.188** (0.044)

0.068 (0.044)

0.121** (0.028)

0.168** (0.048)

0.049 (0.041)

0.071** (0.034)

Log materials per worker

0.584** (0.031)

0.490** (0.056)

0.567** (0.030)

0.651** (0.044)

0.449** (0.055)

0.493** (0.050)

Log employment

0.085* (0.044)

-0.029 (0.045)

0.032 (0.028)

0.029 (0.039)

-0.089** (0.038)

-0.052 (0.035)

Log R&D expenditures

0.006 (0.013)

0.001 (0.023)

-0.009 (0.011)

0.007 (0.015)

0.006 (0.022)

-0.009 (0.012)

1 if no R&D expenditures

-0.028 (0.059)

-0.030 (0.152)

-0.088 (0.060)

0.012 (0.079)

-0.005 (0.153)

-0.063 (0.073)

Region dummies

Yes

Yes

Yes

Yes

Yes

Yes

3-digit industry dummies

Yes

Yes

Yes

Yes

Yes

Yes

N

1700

661

2361

611

611

1222

R2

0.766

0.864

0.780

0.812

0.832

0.773

Implied production function parameters

α

0.188** (0.044)

0.068 (0.044)

0.121** (0.028)

0.168** (0.048)

0.049 (0.041)

0.071** (0.034)

β

0.584** (0.031)

0.490** (0.056)

0.567** (0.030)

0.651** (0.044)

0.449** (0.055)

0.493** (0.050)

γ

0.312** (0.027)

0.413** (0.039)

0.344** (0.024)

0.210** (0.045)

0.413** (0.034)

0.385** (0.035)

μ

-0.154 (0.189)

-0.227** (0.095)

-0.211** (0.086)

0.310 (0.349)

-0.136 (0.100)

-0.076 (0.092)

  1. Note: All the explanatory variables are expressed in first differences. Entries in the table represent weighted least squares coefficients, where the weights are the CBS sampling weights. Robust standard errors in parentheses.
  2. *: Statistically significant at the 10% level.
  3. **: Statistically significant at the 5% level.