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Table 5 Robustness of Model 3 for livestock insurance

From: Intensity of crop and livestock insurance adoption: lessons from Mexico

Dependent variable:

ILIA

Poisson

Quasi-Poisson

Negative Binomial

Poisson

Quasi-Poisson

Combined

Combined

Combined

Index

Index

POP

0.061

0.061

0.105\(^{*}\)

0.217\(^{***}\)

0.217\(^{***}\)

(0.042)

(0.109)

(0.057)

(0.040)

(0.035)

BPUP

0.025\(^{***}\)

0.025\(^{*}\)

0.030\(^{***}\)

0.006

0.006

(0.005)

(0.013)

(0.010)

(0.005)

(0.005)

LSP

−0.00005\(^{**}\)

−0.00005

−0.00001

0.00000

0.00000

(0.00002)

(0.00005)

(0.00005)

(0.00003)

(0.00002)

MI

0.084

0.084

0.013

0.029

0.029

(0.080)

(0.205)

(0.166)

(0.099)

(0.088)

RSA

−0.001

−0.001

−0.002

−0.0005

−0.0005

(0.001)

(0.002)

(0.002)

(0.001)

(0.001)

Constant

0.216

0.454

1.907\(^{***}\)

(0.877)

(0.781)

(0.247)

Fixed effects

State and Year

State and Year

State and Year

State and Year

State and Year

Observations

88

88

88

84

84

AIC

720

NA

504.98

367.18

NA

  1. Model: Results of indemnity are excluded because of a small sample size of 11. The Negative Binomial results for index fail to converge and hence are not presented here
  2. Note: Standard errors are in parentheses. \(^{*}\)p<0.1; \(^{**}\)p<0.05; \(^{***}\)p<0.01
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