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its estimation using panel data. We suggest to employ K-mean clustering to group countries according to the gravity … separately, the estimated coefficients and their standard errors vary sufficiently. Moreover, we show that the pooled estimation …
Persistent link: https://www.econbiz.de/10010461219
We investigate if pluralistic consumption styles (like frugality, or indulgence in luxuryʺ) can be identified and are correlated with different terminal values and if values and consumption styles prove to be stable or can be changed by drastic events. The results of two polls (before and after...
Persistent link: https://www.econbiz.de/10003088938
A new algorithm for clustering life course trajectories is presented and tested with large register data. Life courses are represented as sequences on a monthly timescale for the working-life with an age span from 16–65. A meaningful clustering result for this kind of data provides interesting...
Persistent link: https://www.econbiz.de/10008901833
A new algorithm for clustering life course trajectories is presented and tested with large register data. Life courses are represented as sequences on a monthly timescale for the working-life with an age span from 16-65. A meaningful clustering result for this kind of data provides interesting...
Persistent link: https://www.econbiz.de/10013129988
Aim/purpose - The paper aims to present a preliminary consumer typology based on the declared nutritional behaviors and selected lifestyle elements of Polish and Slovak consumers. Design/methodology/approach - The research was conducted in the first half of 2019, among non-randomly selected...
Persistent link: https://www.econbiz.de/10014325240
Persistent link: https://www.econbiz.de/10014534134
offers limited scope for estimation and inference of heterogeneous response parameters, and consequently, for downstream …
Persistent link: https://www.econbiz.de/10013028564
This paper studies the importance of accounting for term structure maturity clusters while estimating latent factors, for the purpose of forecasting yield curves. The maturity clusters are identified using a hierarchical clustering algorithm. We then propose a new block dynamic Nelson-Siegel...
Persistent link: https://www.econbiz.de/10013152486
Inference for estimates of treatment effects with clustered data requires great care when treatment is assigned at the group level. This is true for both pure treatment models and difference-in-differences regressions. Even when the number of clusters is quite large, cluster-robust standard...
Persistent link: https://www.econbiz.de/10011722291