The Experts below are selected from a list of 1545 Experts worldwide ranked by ideXlab platform

Francis Vella - One of the best experts on this subject based on the ideXlab platform.

  • nonparametric estimation of triangular simultaneous equations models
    Econometrica, 1999
    Co-Authors: Whitney K Newey, James L Powell, Francis Vella
    Abstract:

    This paper presents a simple two-step nonparametric estimator for a triangular simultaneous equation model. Our approach employs series approximations that exploit the additive structure of the model. The first step comprises the nonparametric estimation of the reduced form and the corresponding residuals. The second step is the estimation of the primary equation via nonparametric regression with the reduced form residuals included as a regressor. We derive consistency and asymptotic normality results for our estimator, including optimal convergence Rates. Finally we present an empirical example, based on the relationship between the Hourly Wage Rate and annual hours worked, which illustRates the utility of our approach.

  • nonparametric estimation of triangular simultaneous equations models
    Research Papers in Economics, 1998
    Co-Authors: Whitney K Newey, James L Powell, Francis Vella
    Abstract:

    This paper presents a simple two-step nonparametric estimator for a triangular simultaneous equation model. The authors use series approximations that exploit the additive structure of the model. The first step comprises the nonparametric estimation of the reduced form and the corresponding residuals. The second step is the estimation of the primary equation via nonparametric regression with the reduced form residuals included as a regressor. The authors derive consistency and asymptotic normality results for their estimator, including optimal convergence Rates. An empirical example, on the relationship between the Hourly Wage Rate and hours worked, illustRates the utility of the authors' approach. (This abstract was borrowed from another version of this item.)

Whitney K Newey - One of the best experts on this subject based on the ideXlab platform.

  • nonparametric estimation of triangular simultaneous equations models
    Econometrica, 1999
    Co-Authors: Whitney K Newey, James L Powell, Francis Vella
    Abstract:

    This paper presents a simple two-step nonparametric estimator for a triangular simultaneous equation model. Our approach employs series approximations that exploit the additive structure of the model. The first step comprises the nonparametric estimation of the reduced form and the corresponding residuals. The second step is the estimation of the primary equation via nonparametric regression with the reduced form residuals included as a regressor. We derive consistency and asymptotic normality results for our estimator, including optimal convergence Rates. Finally we present an empirical example, based on the relationship between the Hourly Wage Rate and annual hours worked, which illustRates the utility of our approach.

  • nonparametric estimation of triangular simultaneous equations models
    Research Papers in Economics, 1998
    Co-Authors: Whitney K Newey, James L Powell, Francis Vella
    Abstract:

    This paper presents a simple two-step nonparametric estimator for a triangular simultaneous equation model. The authors use series approximations that exploit the additive structure of the model. The first step comprises the nonparametric estimation of the reduced form and the corresponding residuals. The second step is the estimation of the primary equation via nonparametric regression with the reduced form residuals included as a regressor. The authors derive consistency and asymptotic normality results for their estimator, including optimal convergence Rates. An empirical example, on the relationship between the Hourly Wage Rate and hours worked, illustRates the utility of the authors' approach. (This abstract was borrowed from another version of this item.)

Hakan Selin - One of the best experts on this subject based on the ideXlab platform.

  • Hourly Wage Rate and taxable labor income responsiveness to changes in marginal tax Rates
    Journal of Public Economics, 2010
    Co-Authors: Soren Blomquist, Hakan Selin
    Abstract:

    Recently, a voluminous literature estimating the taxable income elasticity has emerged as an important field in empirical public economics. However, to a large extent it is still unknown how the Hourly Wage Rate, an important component of taxable income, reacts to changes in marginal tax Rates. In this study we use a rich panel data set and a sequence of tax reforms that took place in Sweden during the 1980’s to estimate the elasticity of the Hourly Wage Rate with respect to the net-of-tax Rate. While carefully accounting for the endogeneity of marginal tax Rates as well as other factors that determine Wage Rates we do find a statistically significant response both among married men and married women. The Hourly Wage Rate elasticity with respect to the net-of-tax Rate is estimated to 0.14-0.16 for males and 0.41-0.57 for females. In addition, we obtain uncompensated taxable labor income elasticities of around 0.21 for men and 0.96-1.44 for women. In contrast to earlier studies, we also find significant income effects for males. Accordingly, for males the compensated taxable labor income elasticity is about 4 percentage points higher than the uncompensated one.

James L Powell - One of the best experts on this subject based on the ideXlab platform.

  • nonparametric estimation of triangular simultaneous equations models
    Econometrica, 1999
    Co-Authors: Whitney K Newey, James L Powell, Francis Vella
    Abstract:

    This paper presents a simple two-step nonparametric estimator for a triangular simultaneous equation model. Our approach employs series approximations that exploit the additive structure of the model. The first step comprises the nonparametric estimation of the reduced form and the corresponding residuals. The second step is the estimation of the primary equation via nonparametric regression with the reduced form residuals included as a regressor. We derive consistency and asymptotic normality results for our estimator, including optimal convergence Rates. Finally we present an empirical example, based on the relationship between the Hourly Wage Rate and annual hours worked, which illustRates the utility of our approach.

  • nonparametric estimation of triangular simultaneous equations models
    Research Papers in Economics, 1998
    Co-Authors: Whitney K Newey, James L Powell, Francis Vella
    Abstract:

    This paper presents a simple two-step nonparametric estimator for a triangular simultaneous equation model. The authors use series approximations that exploit the additive structure of the model. The first step comprises the nonparametric estimation of the reduced form and the corresponding residuals. The second step is the estimation of the primary equation via nonparametric regression with the reduced form residuals included as a regressor. The authors derive consistency and asymptotic normality results for their estimator, including optimal convergence Rates. An empirical example, on the relationship between the Hourly Wage Rate and hours worked, illustRates the utility of the authors' approach. (This abstract was borrowed from another version of this item.)

Francisco L Riverabatiz - One of the best experts on this subject based on the ideXlab platform.

  • undocumented workers in the labor market an analysis of the earnings of legal and illegal mexican immigrants in the united states
    Social Science Research Network, 1999
    Co-Authors: Francisco L Riverabatiz
    Abstract:

    This paper studies the differences in earnings between Mexican legal and illegal immigrants in the United States. The analysis includes a cross-sectional examination of the Wage differences between legal and undocumented workers as well as a longitudinal analysis examining the impact of legalization on the earnings of previously undocumented workers. It is shown that the average Hourly Wage Rate of male Mexican legal immigrants in the United States was 41.8% higher than that of undocumented workers while female legal immigrants earned 40.8% more. Though illegal immigrants have lower education and English proficiency, and a shorter period of residence in the United States, than legal immigrants, it is shown that differences in the observed characteristics of legal and illegal immigrants explain only 48% of the log-Wage gap between male legal and illegal workers and 43% of the gap for women. An analysis of undocumented immigrants legalized after the 1986 U.S. immigration policy reform shows significant Wage growth in the four years following legalization. These gains are due mostly to the change in legal status itself, not to changes in the characteristics of immigrants over time.