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A researcher interested in examining the relationship between wage and unemployment experience, uses panel data from the UK over the years 2011- 2015, and

A researcher interested in examining the relationship between wage and unemployment experience, uses panelVARIABLES age age/100 unwks Constant Individual time averages mean(age) Table 1 [1] WG 0.130*** (0.007)

A researcher interested in examining the relationship between wage and unemployment experience, uses panel data from the UK over the years 2011- 2015, and estimates the following relationship: lwageit = x + a + Eit i = 1,.., N and t = 1,..,5 (where, lwage=the logarithm of weekly wage; x contains the variables of interest: unwks- the number of weeks unemployed in the previous year), and two control variables: age and age/100= age* age/100. The results from the estimation of model in equation (1), using two different linear panel data estimators are provided in Columns [1]-[3] of Table 1. Total number of individuals in the sample N = 1,200. (1) VARIABLES age age/100 unwks Constant Individual time averages mean(age) Table 1 [1] WG 0.130*** (0.007) -0.134*** (0.009) -0.004*** (0.001) 4.266*** (0.146) [2] GLS1 0.115*** (0.005) -0.147*** (0.007) -0.005*** (0.001) 4.514*** (0.104) [3] GLS2 0.130** (0.007) -0.134*** (0.009) -0.004*** (0.001) 4.603*** (0.144) GLS1 -0.000 (0.010) -0.020 Mean(age/100) (0.013) mean(unwks) -0.053*** (0.010) Notes: (i) Standard errors in parenthesis with robust standard errors in Column [1]; (ii) *** p

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a The estimators used in the analysis are withingroup WG generalized least squares GLS1 and GLS with additional time averages of timevarying variables GLS2 Lets compare and contrast these estimators a... blur-text-image

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