| 000 | 02741nam a2200409Ka 4500 | ||
|---|---|---|---|
| 001 | bslw06309190 | ||
| 003 | UtOrBLW | ||
| 005 | 20210303085432.0 | ||
| 006 | m d | ||
| 007 | cr un||||||||| | ||
| 008 | 101115s1999 enk o 000 0 eng d | ||
| 020 |
_a9781849508230 (electronic bk.) : _c£63.95 ; €92.95 ; $113.95 |
||
| 040 |
_aUtOrBLW _cUtOrBLW |
||
| 050 | 4 |
_aHB139 _b.M47 1999 |
|
| 072 | 7 |
_aKCH _2bicssc |
|
| 072 | 7 |
_aECO _2bicssc |
|
| 072 | 7 |
_aSCI034000 _2bisacsh |
|
| 072 | 7 |
_aBUS021000 _2bisacsh |
|
| 080 | _a330.43 | ||
| 082 | 0 | 4 |
_a330.015195 _222 |
| 245 | 0 | 0 |
_aMessy data _h[electronic resource] : _bmissing observations, outliers, and mixed-frequency data / _cedited by R. Carter Hill. |
| 260 |
_aBingley, U.K. : _bEmerald, _c1999. |
||
| 300 | _a1 online resource (xii, 305 p.). | ||
| 490 | 1 |
_aAdvances in econometrics, _x0731-9053 ; _vv. 13 |
|
| 505 | 0 | _aTesting for random individual and time effects using unbalanced panel data / Qi Li -- Messy time series : a unified approach / Jeremy Penzer -- Simulation of multinomial probit probabilities and imputation of missing data / Steven Stern -- Temporal disaggregation, missing observations, outliers, and forecasting : a unifying non-model-based procedure / Massimiliano Marcellino -- Testing for unit roots in economic time series with missing observations / David E.A. Giles -- A statistical approach for disaggregating mixed-frequency economic / Zhao-Guo Chen -- Influential data diagnostics for transition data / Larry W. Taylor -- The effects of different types of outliers on unit root tests / G.S. Maddala -- An extended yule-walker method for estimating a vector autoregressive model with mixed-frequencey data / Peter A. Zadrozny -- Missing data from infrequency of purchase : Bayesian estimation of a linear expenditure system / Ma. Rebecca Valenzuela -- Introduction / Carter Hill. | |
| 520 | _aOften applied econometricians are faced with working with data that is less than ideal. The data may be observed with gaps in it, a model may suggest variables that are observed at different frequencies, and sometimes econometric results are very fragile to the inclusion or omission of just a few observations in the sample. Papers in this volume discuss new econometric techniques for addressing these problems. | ||
| 588 | 0 | _aPrint version record | |
| 650 | 7 |
_aScience _xHistory. _2bisacsh |
|
| 650 | 7 |
_aBusiness & Economics _xEconometrics. _2bisacsh |
|
| 650 | 7 |
_aEconometrics. _2bicssc |
|
| 650 | 0 | _aEconometrics. | |
| 700 | 1 | _aHill, R. Carter. | |
| 776 | 1 | _z9780762303038 | |
| 830 | 0 |
_aAdvances in econometrics ; _vv. 13. |
|
| 856 | 4 | 0 | _uhttps://www.emerald.com/insight/publication/doi/10.1108/S0731-9053(1999)13 |
| 913 | _1BMEbacklist | ||
| 999 |
_c32189 _d32189 |
||