Pooled cross-sectional and time series data: a survey of cur- rent statistical methodology. Am Stat. 1983;37(2):111-22. https://doi.org/ 10.1080/00031305.1983.10482722.Dielman, T. E. (1983). Pooled cross-sectional and time-series data: A survey of current statistical methodology. ...
3.PooledData -CombinationofTimeSeriesandCross-sectionalData -Moredifficulttouse -Oftenrequiredduetodatarestrictions GeneralEquations NominalValue= (PriceIndex/100)XRealvalue Or Realvalue= Nominalvalue/(PriceIndex/100) 1.2.2LaspeyresPriceIndex -usesbaseyearquantitiesasweights ...
Econometric Analysis of Cross Section and Panel Data Wooldridge Analysis of Time Series Data Using R Structural equation modeling with time series data Surrogate Test for Pseudoperiodic Time Series Data ansys workbench材料库(Engineering Data) Wooldridge J6; (2002) Econometric Analysis of Cross Section...
Cross-sectional time-series regression Stata fits fixed-effects (within), between-effects, and random-effects (mixed) models on balanced and unbalanced data. We use the notation y[i,t] = X[i,t]*b + u[i] + v[i,t] That is, u[i] is the fixed or random effect and v[i,t] is...
One way is to look at the times at which data were collected. Another is to look at how many variables were studied. Together, these allow a study to be called cross-sectional or longitudinal, and, within longitudinal, to be classified as repeated measures or time series. These three ...
Our approach allows us to estimate time-varying efficiency levels for individual firms without invoking strong distributional assumptions for technical inefficiency or random noise. We do so by including in the production function a flexible function of time whose parameterization depends on the firm. ...
I have run across a very interesting paper that purports to model time series cross sectional data as a multi-level SEM. What makes this stand out is that the data for each time period is cross sectional. That is, a unique sample of respondents is collected for each time period without ...
Repeated measurements of the same countries, people, or groups over time are vital to many fields of political science. These measurements, sometimes called time-series cross-sectional (TSCS) data, allow researchers to estimate a broad set of causal quantities, including contemporaneous and lagged tr...
Subject st: The mlogit with time-series and cross-sectional data. Date Thu, 26 Dec 2002 18:02:51 -0800 (PST)Dear all, I am just wondering whether any one has had any experience and/or suggestions with the multinomial logit estimation with time-series cross-sectional data. Any references ...
The aim within this paper is to analyze the difference between momentum and contrarian portfolios constructed under the cross-sectional and time-series analysis, within the commodity futures markets. The returns indicate that the contrarian portfolios are the most profitable, as well as it's observed...