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Jay Stewart#U. S. Bureau of Labor Statistics:Tobit or Not Tobit? - neues Buch
ISBN: 9781288619276
Tobit or Not Tobit? Time-use surveys collect very detailed information about individuals' activities over a short period of time, typically one day. As a result, a large fraction of obser… Mehr…
Tobit or Not Tobit? Time-use surveys collect very detailed information about individuals' activities over a short period of time, typically one day. As a result, a large fraction of observations have values of zero for the time spent in many activities, even for individuals who do the activity on a regular basis. For example, it is safe to assume that all parents do at least some childcare, but a relatively large fraction report no time spent in childcare on their diary day. Because of the large number of zeros Tobit would seem to be the natural approach. However, it is important to recognize that the zeros in time-use data arise from a mismatch between the reference period of the data (the diary day) and the period of interest, which is typically much longer. Thus it is not clear that Tobit is appropriate. In this study, I examine the bias associated with alternative estimation procedures for estimating the marginal effects of covariates on time use. I begin by adapting the infrequency of purchase model, which is typically used to analyze expenditures, to time-diary data and showing that OLS estimates are unbiased. Next, using simulated data, I examine the bias associated with three procedures that are commonly used to analyze time-diary data-Tobit, the Cragg (1971) two-part model, and OLS-under a number of alternative assumptions about the data-generating process. I find that the estimated marginal effects from Tobits are biased and that the extent of the bias varies with the fraction of zero-value observations. The two-part model performs significantly better, but generates biased estimated in certain circumstances. Only OLS generates unbiased estimates in all of the simulations considered here. Bücher / Fremdsprachige Bücher / Englische Bücher 978-1-288-61927-6, BiblioGov<
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Jay Stewart#U. S. Bureau of Labor Statistics:
Tobit or Not Tobit?
- neues BuchISBN: 9781288619276
Time-use surveys collect very detailed information about individuals´ activities over a short period of time, typically one day. As a result, a large fraction of observations have values … Mehr…
Time-use surveys collect very detailed information about individuals´ activities over a short period of time, typically one day. As a result, a large fraction of observations have values of zero for the time spent in many activities, even for individuals who do the activity on a regular basis. For example, it is safe to assume that all parents do at least some childcare, but a relatively large fraction report no time spent in childcare on their diary day. Because of the large number of zeros Tobit would seem to be the natural approach. However, it is important to recognize that the zeros in time-use data arise from a mismatch between the reference period of the data (the diary day) and the period of interest, which is typically much longer. Thus it is not clear that Tobit is appropriate. In this study, I examine the bias associated with alternative estimation procedures for estimating the marginal effects of covariates on time use. I begin by adapting the infrequency of purchase model, which is typically used to analyze expenditures, to time-diary data and showing that OLS estimates are unbiased. Next, using simulated data, I examine the bias associated with three procedures that are commonly used to analyze time-diary data-Tobit, the Cragg (1971) two-part model, and OLS-under a number of alternative assumptions about the data-generating process. I find that the estimated marginal effects from Tobits are biased and that the extent of the bias varies with the fraction of zero-value observations. The two-part model performs significantly better, but generates biased estimated in certain circumstances. Only OLS generates unbiased estimates in all of the simulations considered here. Tobit or Not Tobit? Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, BiblioGov<
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3
U. S. Bureau of Labor Statistics Stewart, Jay:Tobit or Not Tobit?
- Taschenbuch [ED: Taschenbuch], [PU: BiblioGov], Time-use surveys collect very detailed information about individuals' activities over a short period of time, typically one day. As a result, a large f… Mehr…
[ED: Taschenbuch], [PU: BiblioGov], Time-use surveys collect very detailed information about individuals' activities over a short period of time, typically one day. As a result, a large fraction of observations have values of zero for the time spent in many activities, even for individuals who do the activity on a regular basis. For example, it is safe to assume that all parents do at least some childcare, but a relatively large fraction report no time spent in childcare on their diary day. Because of the large number of zeros Tobit would seem to be the natural approach. However, it is important to recognize that the zeros in time-use data arise from a mismatch between the reference period of the data (the diary day) and the period of interest, which is typically much longer. Thus it is not clear that Tobit is appropriate. In this study, I examine the bias associated with alternative estimation procedures for estimating the marginal effects of covariates on time use. I begin by adapting the infrequency of purchase model, which is typically used to analyze expenditures, to time-diary data and showing that OLS estimates are unbiased. Next, using simulated data, I examine the bias associated with three procedures that are commonly used to analyze time-diary data-Tobit, the Cragg (1971) two-part model, and OLS-under a number of alternative assumptions about the data-generating process. I find that the estimated marginal effects from Tobits are biased and that the extent of the bias varies with the fraction of zero-value observations. The two-part model performs significantly better, but generates biased estimated in certain circumstances. Only OLS generates unbiased estimates in all of the simulations considered here.
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U.s. Bureau Of Labor Statistics, Jay Stewart:Tobit Or Not Tobit?
- neues Buch ISBN: 9781288619276
Tobit Or Not Tobit? U.s. Bureau Of Labor Statistics, Jay Stewart, Books, Social and Cultural Studies, Tobit Or Not Tobit? Books>Social and Cultural Studies
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