determinants of crime in New York City. He used data on 42 police precincts over a 22 year period. He uses Ordinary least Squares to estimate the following: where: crime: crime per capita; unrtm is the unemployment rate of males, proyouth is the proportion of youth, pp is the probability of punishment measured as a fraction of convictions to number of reported crimes. and y are precinct and year fixed effects respectively. The entity fixed effects are dummy variables that equal 1 for precinct i and zero otherwise. For example 1=1 for precinct 1 and zero otherwise. (d) Although the test rejects the hypothesis of eliminating the fixed effects from the regression, you want to analyze what happens to the coefficients and their standard errors when the equation is re-estimated without the fixed effects. In the resulting regression, and do not change by much, although their standard errors double. However, is now 1.34 with a standard error of 0.234 . Why do you think that is