The name is absent



88

5.3 Application: Revisiting the impact of the GLB

Act

In this Section, we revisit the application in Chapter 4. We use the same data set
but focus on identifying and locating a change-point. Section 5.3.1 explains the basic
setups for this application. Results are shown in Section 5.3.2. Conclusions are
included in Section 5.3.3.

5.3.1 Basic setups

Please note that the data structure and covariates used in Section 5.3 are the same
as in Chapter 4.

In order to estimate λs, we let θmin = Jan. 1994 and θmax = Dec. 2005, which
is the range of the time horizon considered. In order to locate the potential change-
point
θ, we tested December 1999. The reason is that from the cumulative hazard
curve in Figure 4.11, it seems that there might be a change-point of the cumulative
hazard function around December 1999. Since the true value of
τ is unknown, we did
a sensitivity analysis for
τ = 0.5 and τ = —0.5, respectively.

5.3.2 Results of the tests

Test 7 with θ = December 99; τ =0.5

Table 5.1 shows the parameter estimates for both βs and λs. Note that the values



More intriguing information

1. EDUCATIONAL ACTIVITIES IN TENNESSEE ON WATER USE AND CONTROL - AGRICULTURAL PHASES
2. Tourism in Rural Areas and Regional Development Planning
3. The Value of Cultural Heritage Sites in Armenia: Evidence From a Travel Cost Method Study
4. American trade policy towards Sub Saharan Africa –- a meta analysis of AGOA
5. The name is absent
6. Opciones de política económica en el Perú 2011-2015
7. The name is absent
8. Who runs the IFIs?
9. CAPACITAÇÃO GERENCIAL DE AGRICULTORES FAMILIARES: UMA PROPOSTA METODOLÓGICA DE EXTENSÃO RURAL
10. A Computational Model of Children's Semantic Memory