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Table 3 Language and preference for self-employment

From: Economic behavior of indigenous peoples: the Mexican case

  Self-employed with no hired workers Self-employed with hired workers
Total Secondary sector Total
Total sample Rural sample, 6 States Total sample Rural sample, 6 States Total sample
Observed mean 0.223 0.425 0.132 0.433 0.029
Results of Logit regressionsa
 Estimated meanb 0.200 0.370 0.100 0.547 0.017
 Personal information
  Age 0.006* 0.008* 0.006* 0.127* 0.001*
  Age2 0.000* 0.000* 0.000* 0.009* 0.000*
  Married 0.025* 0.032* 0.019* 0.023* 0.005*
  Unmarried −0.045* −0.068* −0.030* −0.052* −0.008
  Number of children 0.001* 0.004* 0.001* 0.005* 0.000*
  Literacy 0.038* 0.056* 0.038* 0.127* −0.009*
  No education 0.176* 0.453* 0.006* 0.234* −0.013*
  Pre-school 0.142* 0.472* 0.023* 0.245* −0.021*
  Elementary school 0.163* 0.479* −0.005* 0.265* −0.009*
  Middle school 0.128* 0.402* −0.023* 0.134* −0.006*
  High school 0.083* 0.268* 0.001 0.043 0.002*
  Teaching degreec −0.173* −0.233* −0.049* 0.147 −0.014*
 Ethnic status 0.083* 0.043* 0.144* 0.217* −0.006*
 Environment
  Semirural communities 0.004* −0.015* 0.003*
  Small cities −0.016* −0.043* 0.005*
  Medium and large cities −0.043* −0.098* 0.001*
 Economic Sector
  Second sector −0.103* 0.184* −0.001*
  First sector −0.127* −0.032* 0.000
 Number of observations 3,662,999 886,966 477,242 70,786 3,662,999
 R2 (Nagelkerke) 0.12 0.25 0.24 0.22 0.04
  1. Source: The table was created with data from INEGI 2010
  2. * Indicates that the parameter is 95 % significant
  3. aThe values are the marginal effects with respect to estimated mean or response probability when the characteristic applies
  4. bThe estimated mean or probability of the answer is the calculation of the mean using the estimated parameters from the Logit regression (see Scott Long 1997 and Wooldrige 2002), in which \( \mu = \left( {{\raise0.7ex\hbox{${e^{{g(\bar{x})}} }$} \!\mathord{\left/ {\vphantom {{e^{{g(\bar{x})}} } {1 + e^{{g(\bar{x})}} }}}\right.\kern-0pt} \!\lower0.7ex\hbox{${1 + e^{{g(\bar{x})}} }$}}} \right) \), with \( g\left( {\bar{x}} \right) = \mathop \sum \limits_{i} \widehat{\beta }_{i} \bar{x}_{i} \)
  5. cIn Mexico, to be able to teach in a public school, a specific post-secondary teaching is required. This degree is in lieu of an undergraduate degree