transcripty package

Subpackages

• transcripty.data package
  • Submodules
  • transcripty.data.calibration module
  • transcripty.data.targets module
  • Module contents
• transcripty.probabilitymodels package
  • Submodules
  • transcripty.probabilitymodels.common_probability module
  • transcripty.probabilitymodels.heterogeneous_probability module
  • Module contents

Submodules

transcripty.model module

class transcripty.model.CreditAccumulationModel(Tc, ncoursesattempted, ncreditspercourse, ncreditsgrad, sigma)

Bases: object

This is a parent class which implements a general credit accumulation method and implements a simulate method that could be used across various binomial credit accumulation models.

Parameters

• Tcoll (int) – The number of years an individual can stay enrolled in college

• ncoursesattempted (int) – The number of courses an individual attempts per year

• ncreditspercourse (int) – The number of credits each course is worth

• ncreditsgrad (int) – The number of credits required to graduate

• sigma (float64) – The standard deviation of the GPA shock. The higher the sigma, the less correlated ability and GPA are.

See Parameters

simulate(N)

Simulates model outcomes, including ability level, GPA, and credit accumulation process, for N individuals.

Parameters

N (Int) – The number of individuals that we provide a simulation for

Returns

• a_i (np.array((N,), float64)) – The ith element is individual i’s ability level

• gpa_i (np.array((N,), float64)) – The ith element is individual i’s GPA

• credits (np.array((N, T_c), int)) – The [i, j] element is the number of credits accumulated by agent i in period j

transcripty.version module

This is a VERSION file and should NOT be manually altered

Module contents