Applied Time Series Analysis for the Social Scienc es ? Specification, Estimation, and Inference
Specification, Estimation, and Inference
Series: Wiley Series in Probability and Statistics;
- Publisher's listprice GBP 50.00
-
23 887 Ft (22 750 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 2 389 Ft off)
- Discounted price 21 499 Ft (20 475 Ft + 5% VAT)
Subcribe now and take benefit of a favourable price.
Subscribe
23 887 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Wiley?Blackwell
- Date of Publication 11 December 2025
- ISBN 9780470749937
- Binding Hardback
- No. of pages175 pages
- Size 229x152 mm
- Language English 700
Categories
Short description:
Filling the need for a comprehensive guide on the subject,
Applied Time Series Analysis for the Social Sciences presents time series analysis in an accessible format designed to appeal to students and professional researchers with little mathematical and statistical background.
Long description:
Explore this indispensable and comprehensive guide to time series analysis for students and practitioners in a wide variety of disciplines
Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference delivers an accessible guide to time series analysis that includes both theory and practice. The coverage spans developments from ARIMA intervention models and generalized least squares to the London School of Economics (LSE) approach and vector autoregression. Designed to break difficult concepts into manageable pieces while offering plenty of examples and exercises, the author demonstrates the use of lag operator algebra throughout to provide a better understanding of dynamic specification and the connections between model specifications that appear to be more different than they are.
The book is ideal for those with minimal mathematical experience, intended to follow a course in multiple regression, and includes exercises designed to build general skills such as mathematical expectation calculations to derive means and variances. Readers will also benefit from the inclusion of:
* A focus on social science applications and a mix of theory and detailed examples provided throughout
* An accompanying website with data sets and examples in Stata, SAS and R
* A simplified unit root testing strategy based on recent developments
* An examination of various uses and interpretations of lagged dependent variables and the common pitfalls students and researchers face in this area
* An introduction to LSE methodology such as the COMFAC critique, general-to-specific modeling, and the use of forecasting to evaluate and test models
Perfect for students and professional researchers in the political sciences, public policy, sociology, and economics, Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference will also earn a place in the libraries of post graduate students and researchers in public health, public administration and policy, and education.
