Arbeitspapier
Estimating and predicting household expenditures and income distributions
A reliable prediction of unconditional welfare distributions, like income or consumption, is essential for welfare analysis, and in particular for inequality, poverty or development studies. Where observations of expenditures or income are missing, the mean prediction based on available covariates is not just a poor estimator of the unconditional distribution; it fails to predict the required information about tails and quantiles. A new estimation method is introduced which can be combined with any mean prediction model. It is used to calculate the income distribution of a survey based on subsample information, to estimate the unconditional income distribution for the non-responding households, and to predict the household expenditures of a future panel wave. It allows for imputing welfare distributions for a census from a survey or for synthetic populations under specific scenarios. Further inference is straight-forward, including prediction of Lorenz curves, indexes like the Gini, or distribution quantiles, including confidence intervals.
- Sprache
-
Englisch
- Erschienen in
-
Series: MAGKS Joint Discussion Paper Series in Economics ; No. 47-2011
- Klassifikation
-
Wirtschaft
- Thema
-
household expenditures
income distribution
poverty mapping
project evaluation
data matching
Verbraucherausgaben
Einkommensverteilung
Schätztheorie
Prognoseverfahren
Theorie
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Dai, Jing
Sperlich, Stefan
Zucchini, Walter
- Ereignis
-
Veröffentlichung
- (wer)
-
Philipps-University Marburg, Faculty of Business Administration and Economics
- (wo)
-
Marburg
- (wann)
-
2011
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Dai, Jing
- Sperlich, Stefan
- Zucchini, Walter
- Philipps-University Marburg, Faculty of Business Administration and Economics
Entstanden
- 2011
Ähnliche Objekte (12)
Estimating and Predicting Household Expenditures and Income Distributions
Two approaches to estimating public expenditures
Three Essays on Estimating, Filtering, and Predicting Financial Volatility
Modeling and predicting market risk with Laplace-Gaussian mixture distributions
Modeling and predicting market risk with Laplace-Gaussian mixture distributions
Estimating and predicting pore-pressure influence on deep-seated landslides
Estimating long-run equilibrium relationship between government expenditures and revenues in Romania
Estimating tail dependence of elliptical distributions
Modeling and predicting time series of social activities with fat-tailed distributions
Estimating underreporting of consumer expenditures using Markov latent class analysis
Estimating encounter location distributions from animal tracking data
On the Numerics of Estimating Generalized HyperbolicDistributions
Estimating and Predicting Household Expenditures and Income Distributions
Two approaches to estimating public expenditures
Three Essays on Estimating, Filtering, and Predicting Financial Volatility
Modeling and predicting market risk with Laplace-Gaussian mixture distributions
Modeling and predicting market risk with Laplace-Gaussian mixture distributions
Estimating and predicting pore-pressure influence on deep-seated landslides
Estimating long-run equilibrium relationship between government expenditures and revenues in Romania
Estimating tail dependence of elliptical distributions
Modeling and predicting time series of social activities with fat-tailed distributions
Estimating underreporting of consumer expenditures using Markov latent class analysis
Estimating encounter location distributions from animal tracking data
On the Numerics of Estimating Generalized HyperbolicDistributions
Estimating and Predicting Household Expenditures and Income Distributions
Two approaches to estimating public expenditures
Three Essays on Estimating, Filtering, and Predicting Financial Volatility
Modeling and predicting market risk with Laplace-Gaussian mixture distributions
Modeling and predicting market risk with Laplace-Gaussian mixture distributions
Estimating and predicting pore-pressure influence on deep-seated landslides
Estimating long-run equilibrium relationship between government expenditures and revenues in Romania
Estimating tail dependence of elliptical distributions
Modeling and predicting time series of social activities with fat-tailed distributions
Estimating underreporting of consumer expenditures using Markov latent class analysis
Estimating encounter location distributions from animal tracking data