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Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? Ronald L. Oaxaca University of Arizona July 6, 2015 Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6,


  1. Human Capital as an Explanation for Gender Wage Gaps A more flexible (and more useful) approach is to accept that both human capital and labor market discrimination contribute to wage gaps. Human capital can be defined as one’s stock of marketable skills. Human capital investment is of two types: Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 5 / 37

  2. Human Capital as an Explanation for Gender Wage Gaps A more flexible (and more useful) approach is to accept that both human capital and labor market discrimination contribute to wage gaps. Human capital can be defined as one’s stock of marketable skills. Human capital investment is of two types: Investments that increase one’s human capital stock, e.g. schooling, 1 on-the-job-training. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 5 / 37

  3. Human Capital as an Explanation for Gender Wage Gaps A more flexible (and more useful) approach is to accept that both human capital and labor market discrimination contribute to wage gaps. Human capital can be defined as one’s stock of marketable skills. Human capital investment is of two types: Investments that increase one’s human capital stock, e.g. schooling, 1 on-the-job-training. Investments that increase the value of one’s human capital stock, e.g. 2 job mobility, migration. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 5 / 37

  4. Human Capital as an Explanation for Gender Wage Gaps A more flexible (and more useful) approach is to accept that both human capital and labor market discrimination contribute to wage gaps. Human capital can be defined as one’s stock of marketable skills. Human capital investment is of two types: Investments that increase one’s human capital stock, e.g. schooling, 1 on-the-job-training. Investments that increase the value of one’s human capital stock, e.g. 2 job mobility, migration. Measurement of human capital is easier said than done. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 5 / 37

  5. Human Capital as an Explanation for Gender Wage Gaps Defining discrimination is also a challenge. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 6 / 37

  6. Human Capital as an Explanation for Gender Wage Gaps Defining discrimination is also a challenge. The New Oxford American Dictionary defines ‘discrimination’ as “The 1 unjust or prejudicial treatment of di ff erent categories of people or things especially on grounds of age, race, or sex”. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 6 / 37

  7. Human Capital as an Explanation for Gender Wage Gaps Defining discrimination is also a challenge. The New Oxford American Dictionary defines ‘discrimination’ as “The 1 unjust or prejudicial treatment of di ff erent categories of people or things especially on grounds of age, race, or sex”. The problem is what is meant by unjust or prejudicial treatment. 2 Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 6 / 37

  8. Human Capital as an Explanation for Gender Wage Gaps Defining discrimination is also a challenge. The New Oxford American Dictionary defines ‘discrimination’ as “The 1 unjust or prejudicial treatment of di ff erent categories of people or things especially on grounds of age, race, or sex”. The problem is what is meant by unjust or prejudicial treatment. 2 Major economic theories of discrimination Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 6 / 37

  9. Human Capital as an Explanation for Gender Wage Gaps Defining discrimination is also a challenge. The New Oxford American Dictionary defines ‘discrimination’ as “The 1 unjust or prejudicial treatment of di ff erent categories of people or things especially on grounds of age, race, or sex”. The problem is what is meant by unjust or prejudicial treatment. 2 Major economic theories of discrimination Becker taste driven definitions Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 6 / 37

  10. Human Capital as an Explanation for Gender Wage Gaps Defining discrimination is also a challenge. The New Oxford American Dictionary defines ‘discrimination’ as “The 1 unjust or prejudicial treatment of di ff erent categories of people or things especially on grounds of age, race, or sex”. The problem is what is meant by unjust or prejudicial treatment. 2 Major economic theories of discrimination Becker taste driven definitions Statistical discrimination Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 6 / 37

  11. Human Capital as an Explanation for Gender Wage Gaps Defining discrimination is also a challenge. The New Oxford American Dictionary defines ‘discrimination’ as “The 1 unjust or prejudicial treatment of di ff erent categories of people or things especially on grounds of age, race, or sex”. The problem is what is meant by unjust or prejudicial treatment. 2 Major economic theories of discrimination Becker taste driven definitions Statistical discrimination Monopsony power Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 6 / 37

  12. Identification in the Simple Schooling Model Reagan et. al (2007) Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 7 / 37

  13. Identification in the Simple Schooling Model Reagan et. al (2007) Z ∞ Ye � it dt subject to Y = F ( S , A ) , = MaxV S S where V is the present value of lifetime earnings, i is a fixed discounting rate of interest, t is the index of integration, A is ability, and F ( S , A ) is the production function of earnings. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 7 / 37

  14. Identification in the Simple Schooling Model Reagan et. al (2007) Z ∞ Ye � it dt subject to Y = F ( S , A ) , = MaxV S S where V is the present value of lifetime earnings, i is a fixed discounting rate of interest, t is the index of integration, A is ability, and F ( S , A ) is the production function of earnings. The production function satisfies the following properties: F S , F A > 0, F SS < 0, and F SA = F AS > 0. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 7 / 37

  15. Identification in the Simple Schooling Model Reagan et. al (2007) Z ∞ Ye � it dt subject to Y = F ( S , A ) , = MaxV S S where V is the present value of lifetime earnings, i is a fixed discounting rate of interest, t is the index of integration, A is ability, and F ( S , A ) is the production function of earnings. The production function satisfies the following properties: F S , F A > 0, F SS < 0, and F SA = F AS > 0. The model can be equivalently expressed in logs: ` n ( Y ) = ` nF ( S , A ) . ` n ( V ) = ` n ( Y ) � iS � ` n ( i ) . Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 7 / 37

  16. Identification in the Simple Schooling Model Reagan et. al (2007) Z ∞ Ye � it dt subject to Y = F ( S , A ) , = MaxV S S where V is the present value of lifetime earnings, i is a fixed discounting rate of interest, t is the index of integration, A is ability, and F ( S , A ) is the production function of earnings. The production function satisfies the following properties: F S , F A > 0, F SS < 0, and F SA = F AS > 0. The model can be equivalently expressed in logs: ` n ( Y ) = ` nF ( S , A ) . ` n ( V ) = ` n ( Y ) � iS � ` n ( i ) . Let the marginal rate of return to schooling, r , be defined as r = ∂ ` nF ( S , A ) . ∂ S Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 7 / 37

  17. Identification in the Simple Schooling Model Taking derivatives with respect to S yields the first order condition: r = i Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 8 / 37

  18. Identification in the Simple Schooling Model Taking derivatives with respect to S yields the first order condition: r = i An individual’s discounting rate of interest, i , is uniquely fixed and does not vary with the level of schooling. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 8 / 37

  19. Identification in the Simple Schooling Model Taking derivatives with respect to S yields the first order condition: r = i An individual’s discounting rate of interest, i , is uniquely fixed and does not vary with the level of schooling. However, since i can also be interpreted as the marginal opportunity cost of an additional year of school, i can vary across individuals. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 8 / 37

  20. Identification in the Simple Schooling Model The optimal schooling model can be cast in terms of demand and supply. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 9 / 37

  21. Identification in the Simple Schooling Model The optimal schooling model can be cast in terms of demand and supply. The marginal rate of return to schooling yields an individual’s inverse 1 demand function for schooling, r = r ( S , A ) , which is equivalently expressed as, S d = S d ( i , A ) , where S d is the level of schooling demanded at each discounting rate of interest for an individual with a given (fixed) ability level A . Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 9 / 37

  22. Identification in the Simple Schooling Model The optimal schooling model can be cast in terms of demand and supply. The marginal rate of return to schooling yields an individual’s inverse 1 demand function for schooling, r = r ( S , A ) , which is equivalently expressed as, S d = S d ( i , A ) , where S d is the level of schooling demanded at each discounting rate of interest for an individual with a given (fixed) ability level A . An individual’s supply function for schooling investment can be derived 2 from simple manipulation of the present value function: ` n ( Y ) = ` n ( iV ) + iS . Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 9 / 37

  23. Identification in the Simple Schooling Model The optimal schooling model can be cast in terms of demand and supply. The marginal rate of return to schooling yields an individual’s inverse 1 demand function for schooling, r = r ( S , A ) , which is equivalently expressed as, S d = S d ( i , A ) , where S d is the level of schooling demanded at each discounting rate of interest for an individual with a given (fixed) ability level A . An individual’s supply function for schooling investment can be derived 2 from simple manipulation of the present value function: ` n ( Y ) = ` n ( iV ) + iS . Di ff erentiating the log present value function with respect to S , for a 3 given V , yields i which indexes an individual’s supply curve thereby establishing the relationship between the supply of schooling and the discounting rate of interest. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 9 / 37

  24. Identification in the Simple Schooling Model The individual’s years of schooling optimization problem is represented in the following figure. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 10 / 37

  25. Identification in the Simple Schooling Model A labor market with equal opportunity but unequal ability is represented in the following figure. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 11 / 37

  26. Identification in the Simple Schooling Model A labor market with equal abilities but unequal opportunity is represented in the following figure. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 12 / 37

  27. Identification in the Simple Schooling Model A labor market with unequal opportunity and unequal abilities is represented in the next figure. This figure illustrates why a regression of the form ` n ( Y i ) = β 0 + β 1 S i + ε i is not identified and why β 1 does not identify r , the marginal rate of return to schooling. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 13 / 37

  28. • ,.(,) n. s Figure 2

  29. Identification in the Simple Schooling Model Reagan et. al (2007) treats each individual’s discounting rate of interest as a function of family background, e.g. family wealth, number of siblings, and parental education. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 14 / 37

  30. Identification in the Simple Schooling Model Reagan et. al (2007) treats each individual’s discounting rate of interest as a function of family background, e.g. family wealth, number of siblings, and parental education. Alternative identification strategies are used to estimate the model for white males in the U.S. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 14 / 37

  31. Identification in the Simple Schooling Model Reagan et. al (2007) treats each individual’s discounting rate of interest as a function of family background, e.g. family wealth, number of siblings, and parental education. Alternative identification strategies are used to estimate the model for white males in the U.S. Even in this simple model, one can see that gender di ff erences in schooling result from di ff erences in constraints and voluntary choices. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 14 / 37

  32. Human Capital and Wage Decompositions Standard log wage model ` n ( w mi ) = X 0 mi β m + ε mi , i = 1, ... N m ` n ( w fi ) = X 0 fi β f + ε fi , i = 1, ... N f , Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 15 / 37

  33. Human Capital and Wage Decompositions Standard log wage model ` n ( w mi ) = X 0 mi β m + ε mi , i = 1, ... N m ` n ( w fi ) = X 0 fi β f + ε fi , i = 1, ... N f , Wage decomposition assumptions Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 15 / 37

  34. Human Capital and Wage Decompositions Standard log wage model ` n ( w mi ) = X 0 mi β m + ε mi , i = 1, ... N m ` n ( w fi ) = X 0 fi β f + ε fi , i = 1, ... N f , Wage decomposition assumptions In the absence of discrimination β m = β f = β ⇤ Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 15 / 37

  35. Human Capital and Wage Decompositions Standard log wage model ` n ( w mi ) = X 0 mi β m + ε mi , i = 1, ... N m ` n ( w fi ) = X 0 fi β f + ε fi , i = 1, ... N f , Wage decomposition assumptions In the absence of discrimination β m = β f = β ⇤ Endowments ( X ) are voluntary labor supply side outcomes, though it is generally recognized that pre-labor market discrimination can generate gender di ff erences in X . Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 15 / 37

  36. Human Capital and Wage Decompositions Standard Wage Decomposition - Blinder (1973), Oaxaca (1973) � ¯ � ˆ � ˆ � Y m � ¯ ¯ m � ¯ β m + ¯ β m � ˆ X 0 X 0 X 0 Y f = β f . f f Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 16 / 37

  37. Human Capital and Wage Decompositions Standard Wage Decomposition - Blinder (1973), Oaxaca (1973) � ¯ � ˆ � ˆ � Y m � ¯ ¯ m � ¯ β m + ¯ β m � ˆ X 0 X 0 X 0 Y f = β f . f f Y m � ¯ ¯ Y f is the unadjusted gender wage gap (in logs) Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 16 / 37

  38. Human Capital and Wage Decompositions Standard Wage Decomposition - Blinder (1973), Oaxaca (1973) � ¯ � ˆ � ˆ � Y m � ¯ ¯ m � ¯ β m + ¯ β m � ˆ X 0 X 0 X 0 Y f = β f . f f Y m � ¯ ¯ Y f is the unadjusted gender wage gap (in logs) ( ¯ m � ¯ f ) ˆ X 0 X 0 β m is the endowment e ff ect or “explained” gap (human capital?). May reflect pre-labor market discrimination. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 16 / 37

  39. Human Capital and Wage Decompositions Standard Wage Decomposition - Blinder (1973), Oaxaca (1973) � ¯ � ˆ � ˆ � Y m � ¯ ¯ m � ¯ β m + ¯ β m � ˆ X 0 X 0 X 0 Y f = β f . f f Y m � ¯ ¯ Y f is the unadjusted gender wage gap (in logs) ( ¯ m � ¯ f ) ˆ X 0 X 0 β m is the endowment e ff ect or “explained” gap (human capital?). May reflect pre-labor market discrimination. � ˆ � β m � ˆ ¯ X 0 β f can be taken to be an estimate of discrimination but is f sometimes referred to as the “unexplained” gap. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 16 / 37

  40. Human Capital and Wage Decompositions � ˆ � Why is ¯ β m � ˆ X 0 β f sometimes referred to as the “unexplained” f gap? Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 17 / 37

  41. Human Capital and Wage Decompositions � ˆ � Why is ¯ β m � ˆ X 0 β f sometimes referred to as the “unexplained” f gap? Fear of left out variables (what’s the error term for?) Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 17 / 37

  42. Human Capital and Wage Decompositions � ˆ � Why is ¯ β m � ˆ X 0 β f sometimes referred to as the “unexplained” f gap? Fear of left out variables (what’s the error term for?) Omitted variables could be correlated with the included X variables (the bias could go in either direction). Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 17 / 37

  43. Human Capital and Wage Decompositions � ˆ � Why is ¯ β m � ˆ X 0 β f sometimes referred to as the “unexplained” f gap? Fear of left out variables (what’s the error term for?) Omitted variables could be correlated with the included X variables (the bias could go in either direction). The same methodology is used to estimate union/nonunion wage di ff erentials, public/private sector wage di ff erentials, manufacturing/nonmanufacturing di ff erentials, etc. – why are not these also labeled “unexplained”? Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 17 / 37

  44. Human Capital and Wage Decompositions � ˆ � Why is ¯ β m � ˆ X 0 β f sometimes referred to as the “unexplained” f gap? Fear of left out variables (what’s the error term for?) Omitted variables could be correlated with the included X variables (the bias could go in either direction). The same methodology is used to estimate union/nonunion wage di ff erentials, public/private sector wage di ff erentials, manufacturing/nonmanufacturing di ff erentials, etc. – why are not these also labeled “unexplained”? Standard wage specifications are used, so why are these equations suddenly misspecified when it is learned that they will be used to estimate discrimination against women? Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 17 / 37

  45. Human Capital and Wage Decompositions Generalized wage decomposition: Neumark (1988) and Oaxaca and Ransom (1988, 1994) Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 18 / 37

  46. Human Capital and Wage Decompositions Generalized wage decomposition: Neumark (1988) and Oaxaca and Ransom (1988, 1994) Identification of favoritism toward men and pure discrimination against women � ¯ � ˆ � ˆ β ⇤ � + ¯ � ˆ � β ⇤ + ¯ β m � ˆ β ⇤ � ˆ Y m � ¯ ¯ m � ¯ Y f = X 0 X 0 X 0 X 0 β f , f m f Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 18 / 37

  47. Human Capital and Wage Decompositions Generalized wage decomposition: Neumark (1988) and Oaxaca and Ransom (1988, 1994) Identification of favoritism toward men and pure discrimination against women � ¯ � ˆ � ˆ β ⇤ � + ¯ � ˆ � β ⇤ + ¯ β m � ˆ β ⇤ � ˆ Y m � ¯ ¯ m � ¯ Y f = X 0 X 0 X 0 X 0 β f , f m f β ⇤ is an estimate of a nondiscriminatory standard obtained from ˆ estimating a pooled wage regression for the combined sample of males and females. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 18 / 37

  48. Human Capital and Wage Decompositions Generalized wage decomposition: Neumark (1988) and Oaxaca and Ransom (1988, 1994) Identification of favoritism toward men and pure discrimination against women � ¯ � ˆ � ˆ β ⇤ � + ¯ � ˆ � β ⇤ + ¯ β m � ˆ β ⇤ � ˆ Y m � ¯ ¯ m � ¯ Y f = X 0 X 0 X 0 X 0 β f , f m f β ⇤ is an estimate of a nondiscriminatory standard obtained from ˆ estimating a pooled wage regression for the combined sample of males and females. β ⇤ is the endowment e ff ect or “explained” gap (human ( ¯ m � ¯ f ) ˆ X 0 X 0 capital?). Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 18 / 37

  49. Human Capital and Wage Decompositions Generalized wage decomposition: Neumark (1988) and Oaxaca and Ransom (1988, 1994) Identification of favoritism toward men and pure discrimination against women � ¯ � ˆ � ˆ β ⇤ � + ¯ � ˆ � β ⇤ + ¯ β m � ˆ β ⇤ � ˆ Y m � ¯ ¯ m � ¯ Y f = X 0 X 0 X 0 X 0 β f , f m f β ⇤ is an estimate of a nondiscriminatory standard obtained from ˆ estimating a pooled wage regression for the combined sample of males and females. β ⇤ is the endowment e ff ect or “explained” gap (human ( ¯ m � ¯ f ) ˆ X 0 X 0 capital?). � ˆ β ⇤ � β m � ˆ ¯ X 0 is an estimate of favoritism toward males. m Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 18 / 37

  50. Human Capital and Wage Decompositions Generalized wage decomposition: Neumark (1988) and Oaxaca and Ransom (1988, 1994) Identification of favoritism toward men and pure discrimination against women � ¯ � ˆ � ˆ β ⇤ � + ¯ � ˆ � β ⇤ + ¯ β m � ˆ β ⇤ � ˆ Y m � ¯ ¯ m � ¯ Y f = X 0 X 0 X 0 X 0 β f , f m f β ⇤ is an estimate of a nondiscriminatory standard obtained from ˆ estimating a pooled wage regression for the combined sample of males and females. β ⇤ is the endowment e ff ect or “explained” gap (human ( ¯ m � ¯ f ) ˆ X 0 X 0 capital?). � ˆ β ⇤ � β m � ˆ ¯ X 0 is an estimate of favoritism toward males. m � ˆ � ¯ β ⇤ � ˆ X 0 β f is an estimate of pure discrimination against women. f Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 18 / 37

  51. Human Capital and Wage Decompositions Generalized wage decomposition: Neumark (1988) and Oaxaca and Ransom (1988, 1994) Identification of favoritism toward men and pure discrimination against women � ¯ � ˆ � ˆ β ⇤ � + ¯ � ˆ � β ⇤ + ¯ β m � ˆ β ⇤ � ˆ Y m � ¯ ¯ m � ¯ Y f = X 0 X 0 X 0 X 0 β f , f m f β ⇤ is an estimate of a nondiscriminatory standard obtained from ˆ estimating a pooled wage regression for the combined sample of males and females. β ⇤ is the endowment e ff ect or “explained” gap (human ( ¯ m � ¯ f ) ˆ X 0 X 0 capital?). � ˆ β ⇤ � β m � ˆ ¯ X 0 is an estimate of favoritism toward males. m � ˆ � ¯ β ⇤ � ˆ X 0 β f is an estimate of pure discrimination against women. f � ˆ β ⇤ � + ¯ � ˆ � β m � ˆ β ⇤ � ˆ ¯ X 0 X 0 β f is an estimate of overall m f discrimination against women. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 18 / 37

  52. Human Capital and Wage Decompositions Gender wage decompositions have become increasingly sophisticated. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 19 / 37

  53. Human Capital and Wage Decompositions Gender wage decompositions have become increasingly sophisticated. Even when decompositions do a good job of identifying the extent of gender discrimination in the labor market, they rarely identify the source of the discrimination. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 19 / 37

  54. Human Capital and Wage Decompositions Gender wage decompositions have become increasingly sophisticated. Even when decompositions do a good job of identifying the extent of gender discrimination in the labor market, they rarely identify the source of the discrimination. All of the major economic theories of labor market discrimination can be expressed in terms of the decomposition framework. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 19 / 37

  55. Human Capital and Wage Decompositions Gender wage decompositions have become increasingly sophisticated. Even when decompositions do a good job of identifying the extent of gender discrimination in the labor market, they rarely identify the source of the discrimination. All of the major economic theories of labor market discrimination can be expressed in terms of the decomposition framework. Technically, wage discrimination is a fairly narrow definition of discrimination. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 19 / 37

  56. Human Capital and Wage Decompositions Gender wage decompositions have become increasingly sophisticated. Even when decompositions do a good job of identifying the extent of gender discrimination in the labor market, they rarely identify the source of the discrimination. All of the major economic theories of labor market discrimination can be expressed in terms of the decomposition framework. Technically, wage discrimination is a fairly narrow definition of discrimination. It would seem that within a firm, it would be rare for men and women within the same job title to be paid di ff erently apart from seniority. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 19 / 37

  57. Human Capital and Wage Decompositions Gender wage decompositions have become increasingly sophisticated. Even when decompositions do a good job of identifying the extent of gender discrimination in the labor market, they rarely identify the source of the discrimination. All of the major economic theories of labor market discrimination can be expressed in terms of the decomposition framework. Technically, wage discrimination is a fairly narrow definition of discrimination. It would seem that within a firm, it would be rare for men and women within the same job title to be paid di ff erently apart from seniority. In the broader labor market what might statistically appear to be pure wage discrimination probably reflects the incidence of women being employed in lower wage firms. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 19 / 37

  58. Human Capital and Wage Decompositions Gender wage decompositions have become increasingly sophisticated. Even when decompositions do a good job of identifying the extent of gender discrimination in the labor market, they rarely identify the source of the discrimination. All of the major economic theories of labor market discrimination can be expressed in terms of the decomposition framework. Technically, wage discrimination is a fairly narrow definition of discrimination. It would seem that within a firm, it would be rare for men and women within the same job title to be paid di ff erently apart from seniority. In the broader labor market what might statistically appear to be pure wage discrimination probably reflects the incidence of women being employed in lower wage firms. Much of the gender disparity in wages is associated with gender disparity in job titles/occupational categories. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 19 / 37

  59. Human Capital and Wage Decompositions One could question the assumption that in the absence of discrimination β m = β f = β ⇤ . Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 20 / 37

  60. Human Capital and Wage Decompositions One could question the assumption that in the absence of discrimination β m = β f = β ⇤ . Consider the Mincer-type, post-schooling investment model: Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 20 / 37

  61. Human Capital and Wage Decompositions One could question the assumption that in the absence of discrimination β m = β f = β ⇤ . Consider the Mincer-type, post-schooling investment model: t � 1 ∑ ` n ( E t ) = ` n ( E 0 ) + ˜ r k τ � δ t τ = 0 where E t is earnings capacity in period t , E 0 is earnings capacity in the initial period of work following the completion of schooling, ˜ r is the rate of return to post-schooling investments (OJT), k τ is the fraction of time or time-equivalent invested in OJT in each period prior to t , and δ is the depreciation rate on post schooling human capital. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 20 / 37

  62. Human Capital and Wage Decompositions In the Mincer framework E 0 includes the earnings e ff ect of schooling: Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 21 / 37

  63. Human Capital and Wage Decompositions In the Mincer framework E 0 includes the earnings e ff ect of schooling: ` n ( E 0 ) = ` n ( Y 0 ) + ¯ rS where Y 0 represents pre-labor market earnings capacity not associated with schooling ( S ), e.g. ability, family back ground, minimum wage laws, etc., and ¯ r is an average of the marginal rates of return to each year of schooling (could include depreciation). Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 21 / 37

  64. Human Capital and Wage Decompositions In the Mincer framework E 0 includes the earnings e ff ect of schooling: ` n ( E 0 ) = ` n ( Y 0 ) + ¯ rS where Y 0 represents pre-labor market earnings capacity not associated with schooling ( S ), e.g. ability, family back ground, minimum wage laws, etc., and ¯ r is an average of the marginal rates of return to each year of schooling (could include depreciation). Generally, earnings capacity is not observed. What is observed is earnings net of current human capital investment ( Y t ): Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 21 / 37

  65. Human Capital and Wage Decompositions In the Mincer framework E 0 includes the earnings e ff ect of schooling: ` n ( E 0 ) = ` n ( Y 0 ) + ¯ rS where Y 0 represents pre-labor market earnings capacity not associated with schooling ( S ), e.g. ability, family back ground, minimum wage laws, etc., and ¯ r is an average of the marginal rates of return to each year of schooling (could include depreciation). Generally, earnings capacity is not observed. What is observed is earnings net of current human capital investment ( Y t ): ` n ( Y t ) = ` n ( E t ) � k t t � 1 ∑ = ` n ( Y 0 ) + ¯ rS + ˜ r k τ � δ t � k t (1) τ = 0 Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 21 / 37

  66. Human Capital and Wage Decompositions Following Mincer, we could assume a simple linearly declining investment schedule for k t : Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 22 / 37

  67. Human Capital and Wage Decompositions Following Mincer, we could assume a simple linearly declining investment schedule for k t : ⇣ ⌘ 1 � t k t = k 0 (2) T Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 22 / 37

  68. Human Capital and Wage Decompositions Following Mincer, we could assume a simple linearly declining investment schedule for k t : ⇣ ⌘ 1 � t k t = k 0 (2) T where k 0 is the fraction of time (or time equivalent) invested in OJT during the first year of post-schooling work experience, and T is the time horizon for post-schooling investment (retirement year). Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 22 / 37

  69. Human Capital and Wage Decompositions Following Mincer, we could assume a simple linearly declining investment schedule for k t : ⇣ ⌘ 1 � t k t = k 0 (2) T where k 0 is the fraction of time (or time equivalent) invested in OJT during the first year of post-schooling work experience, and T is the time horizon for post-schooling investment (retirement year). Clearly, k T = 0. Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 22 / 37

  70. Human Capital and Wage Decompositions Following Mincer, we could assume a simple linearly declining investment schedule for k t : ⇣ ⌘ 1 � t k t = k 0 (2) T where k 0 is the fraction of time (or time equivalent) invested in OJT during the first year of post-schooling work experience, and T is the time horizon for post-schooling investment (retirement year). Clearly, k T = 0. The cumulative post-schooling investment is given by Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 22 / 37

  71. Human Capital and Wage Decompositions Following Mincer, we could assume a simple linearly declining investment schedule for k t : ⇣ ⌘ 1 � t k t = k 0 (2) T where k 0 is the fraction of time (or time equivalent) invested in OJT during the first year of post-schooling work experience, and T is the time horizon for post-schooling investment (retirement year). Clearly, k T = 0. The cumulative post-schooling investment is given by ⇣ ⌘ t � 1 t � 1 1 � τ ∑ ∑ k τ = k 0 T τ = 0 τ = 0 ⇡ k 0 t � k 0 t 2 2 T Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 22 / 37

  72. Human Capital and Wage Decompositions The accumulated value of post-schooling investments is given by Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 23 / 37

  73. Human Capital and Wage Decompositions The accumulated value of post-schooling investments is given by t � 1 rk 0 t 2 rk 0 t � ˜ ∑ ˜ k τ = ˜ (3) r 2 T τ = 0 Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 23 / 37

  74. Human Capital and Wage Decompositions The accumulated value of post-schooling investments is given by t � 1 rk 0 t 2 rk 0 t � ˜ ∑ ˜ k τ = ˜ (3) r 2 T τ = 0 Upon substitution of (2) and ( 3) into (1) and collecting terms, we obtain Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 23 / 37

  75. Human Capital and Wage Decompositions The accumulated value of post-schooling investments is given by t � 1 rk 0 t 2 rk 0 t � ˜ ∑ ˜ k τ = ˜ (3) r 2 T τ = 0 Upon substitution of (2) and ( 3) into (1) and collecting terms, we obtain ✓ ◆ rk 0 t 2 rk 0 + k 0 t � ˜ ` n ( Y t ) = [ ` n ( Y 0 ) � k 0 ] + ¯ rS + ˜ T � δ (4) 2 T Ronald L. Oaxaca (University of Arizona) Human Capital and Gender Wage Gaps: What is the Explained Di ff erence? July 6, 2015 23 / 37

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