Should the following function have a beta argument (or a **kwargs) that is passed to self.fl_costs?
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def loglike(self, params): |
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""" |
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The log-likelihood of the Dynamic model is estimated in several steps. |
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1°) The currenter parameters are supplied to the contraction mapping |
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function |
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2°) The function returns a matrix of decision probabilities for each |
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state. |
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3°) This matrix is used to compute the loglikelihood of the |
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observations |
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4°) The log-likelihood are then summed accross individuals, and |
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returned |
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""" |
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util = self.fl_costs(params, suppr_output=True) |
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pchoice = self.choice_prob(util) |
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logprob = np.log(np.dot(pchoice.T, self.state_mat)) |
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return -np.sum(self.dec_mat*logprob) |
