Spatial patterns in intermunicipal Danish commuting



Tables and figures

OUTCOM

INCOM

NETCOM

CONSTANT

-264.62

-24.41

-182.63

(-7.88)

(-6.10)

(-23.39)

PSH1766

6.29

(17.49)

WORKPL

-2.33

0.255

2.82

(-22.99)

(5.17)

(30.19)

IPHOUS

18.78

(2.33)

UNEMP

-3.39

(-6.46)

UNEMP1

?

3.89

(6.32)

POPDEN

0.0042

?

(5.23)

TAXBAS

0.0005

?

(12.42)

R2

0.81

0.57

0.77

R2(adj.)

0.80

0.57

0.77

F

283.6

120.9

455.8

prob(F)

0.0001

0.0001

0.0001

LM-E

48.49

57.77

35.45

prob(.)

<0.0001

<0.0001

<0.0001

LM-L

4.15

99.25

11.37

prob(.)

0.042

<0.0001

0.0007

LM-EL

53.28

100.27

35.45

prob(.)

<0.0001

<0.0001

<0.0001

Table 1. Causal models for commuting.

Numbers in parentheses are t-values.

Question marks indicate absense of variables expected to be significant.



More intriguing information

1. The Mathematical Components of Engineering
2. Placenta ingestion by rats enhances y- and n-opioid antinociception, but suppresses A-opioid antinociception
3. Tax systems and tax reforms in Europe: Rationale and open issue for more radical reforms
4. The name is absent
5. Does Market Concentration Promote or Reduce New Product Introductions? Evidence from US Food Industry
6. The name is absent
7. Regional dynamics in mountain areas and the need for integrated policies
8. The name is absent
9. The name is absent
10. Credit Markets and the Propagation of Monetary Policy Shocks