| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046008094 | |
| 005 | 20191202144822 | |
| 008 | 191129s2016 scua b 001 0 eng d | |
| 020 | ▼a 9781523285136 | |
| 020 | ▼a 1523285133 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 4 | ▼a 330.015195 ▼2 23 |
| 084 | ▼a 330.015195 ▼2 DDCK | |
| 090 | ▼a 330.015195 ▼b H473u | |
| 100 | 1 | ▼a Heiss, Florian, ▼d 1973-. |
| 245 | 1 0 | ▼a Using R for introductory econometrics / ▼c Florian Heiss. |
| 260 | ▼a [North Charleston, SC : ▼b CreateSpace], ▼c c2016. | |
| 300 | ▼a 344 p. : ▼b ill. ; ▼c 26 cm. | |
| 504 | ▼a Includes bibliographical references (p. [335]-336) and index. | |
| 945 | ▼a KLPA |
Holdings Information
| No. | Location | Call Number | Accession No. | Availability | Due Date | Make a Reservation | Service |
|---|---|---|---|---|---|---|---|
| No. 1 | Location Science & Engineering Library/Sci-Info(Stacks2)/ | Call Number 330.015195 H473u | Accession No. 121251279 | Availability In loan | Due Date 2023-04-08 | Make a Reservation Available for Reserve(2persons reqested this item) | Service |
Contents information
Table of Contents
Introduction -- I. Regression analysis with cross-sectional data. The simple regression model -- Multiple regression analysis: estimation -- Multiple regression analysis: inference -- Multiple regression analysis: OLS asymptotics -- Multiple regression analysis: further issues -- Multiple regression analysis with qualitative regressors -- Heteroscedasticity -- More on specification and data issues -- II. Regression analysis with time series data. Basic regression analysis with time series data -- Further issues in using OLS with time series data -- Serial correlation and heteroscedasticity in time series regressions -- III. Advanced topics. Pooling cross-sections across time: simple panel data methods -- Advanced panel data methods -- Instrumental variables estimation and two stage least squares -- Simultaneous equations models -- Limited dependent variable models and sample selection corrections -- Advanced time series topics -- Carrying out an empirical project -- IV. Appendices. R scripts.
