In: Statistics and Probability
Assume that the following pattern holds true through future generations in a certain country: 60% of the daughters of working women also work and 20% of the daughters of non–working women work. Find the transition matrix of the Markov chain modeling working/non–working states across generations.
Assume two states in our model - working (State 1) and non-working (State 2). So our transition matrix is going to be a 2 by 2 square matrix.
Where
represents the probability that State 1 remains State 1 in the
next generation, in other words, probability that daughter of a
working woman is working. So as given in the question, it is 60%,
i.e., a probability of 0.6.
represents the probability that State 1 converts to State 2 in the
next generation, in other words, probability that daughter of a
working woman is not working. It is nothing but the subtraction of
the daughters who are working from the total number of daughters
whose mothers work. Hence,
represents the probability that State 2 converts to State 1 in the
next generation, in other words, probability that daughter of a
non-working woman starts working. So as given in the question, it
is 20%, i.e., a probability of 0.2.
represents the probability that State 2 remains State 2 in the next
generation, in other words, probability that daughter of a
non-working woman is still not working. It is nothing but the
subtraction of the daughters who are working from the total number
of daughters whose mothers don't work. Hence,
So the transition matrix of the Markov chain modeling the working and non-working states across generations can be obtained by substituting the above calculated values in the matrix.