Learning-by-Exporting? Firm-Level Evidence for UK Manufacturing and Services Sectors

Table 4: Long-run ‘learning-by-exporting’ effect for certain UK industries, 1996-2004

	______AGF	FBT	TCL	WPP	CRR	MET	ENG	OMF
IV model (GMM)
EXP_entry _t+1	0.061	-0.013	0.066	0.678^*	0.242	-0.004	0.112	-0.094
EXP_entry t	-0.012	_sksk 0.117^**	0.173	-0.228	0.030	-0.043	0.278^***	0.272^***
EXP_entry t-1	-0.066	-0.019	-0.094	-0.238^**	0.068	-0.052	_ _ _sksk -0.215^**	_ _ _ * -0.084^*
EXP_exit t+1	0.084	-0.126^*	-0.284^*	0.107	-0.186^*	-0.264^***	0.098	-0.068
EXP_exit t	0.133	-0.054	-0.072	0.118	_ _ .sksksk -0.692^***	0.120	-0.091	0.094
EXP_exit t-1	-0.447	-0.049	0.157	-0.236	0.399^*	_ _ _sksksk 0.237^***	-0.114^*	0.055
EXP_both t+1	0.689^***	-0.021	-0.086	0.076	-0.025	-0.072	-0.048	-0.045
EXP_both t	0.042	0.211^**	-0.153	-0.013	-0.004	0.071	0.036	0.042
EXP_both t-1	0.260	sk -0.104^*	0.110	0.057	-0.017	-0.008	0.009	-0.055
No. of Obs.	1702	3065	2223	6903	4629	7075	9596	3731
No. of groups	508	741	530	1798	1107	1719	2252	948
Control function
EXP_entry t+1	0.074	-0.014	0.013	0.743^**	0.256	-0.013	0.094	-0.102
EXP_entry t	-0.061	0.271^**	0.298	0.390	-0.041	0.039	0.410^*	0.353
EXP_entry t-1	-0.043	-0.013	-0.157	-0.329^***	0.056	-0.065	-0.200^*	-0.063
EXP_exit t+1	0.086	-0.108^*	-0.272	0.127	sksk -0.181^**	_ .sksksk -0.198^***	0.043	-0.068
EXP_exit t	0.117	-0.257	-0.029	-0.433	-0.476	-0.001	-0.281	-0.066
EXP_exit t-1	-0.383	-0.015	0.174	-0.272^**	0.295	_sksksk 0.215^***	_ _ * -0.102^*	0.070
EXP_both _t+1	0.693^***	-0.054	-0.115	0.056	0.006	-0.053	-0.051	-0.051
EXP_both t	0.018	0.369^**	-0.117	0.463^**	-0.065	0.118	0.222	0.092
EXP_both t-1	0.283	-0.158^*	0.103	0.035	0.001	-0.010	0.025	-0.045
λ1	0.009	-0.014	0.009	_ _ _ sksksk -0.201^***	0.109	-0.040	0.012	0.017
λ0	0.058	-0.240^***	-0.014	0.352	0.015	0.007	-0.122^*	-0.121
No. of Obs.	1702	3065	2223	6903	4629	7075	9596	3731
No. of groups	508	741	530	1798	1107	1719	2252	948
Matched sample
EXP_entry t+1	0.048	0.020	-0.043	__.sksk 0.533^**	* 0.241^*	0.008	0.115	-0.063
EXP_entry t	0.009	0.093^**	- _ - * 0.340^*	-0.113	-0.001	-0.065	_ _ .sksksk 0.276^***	0.278^***
EXP_entry t-1	0.025	0.001	-0.031	-0.246^***	0.082	-0.022	-0.201^*	-0.136^*
EXP_exit t+1	0.036	-0.092^*	-0.349^*	0.097	-0.192^*	-0.281^***	0.092	-0.067
EXP_exit _t	-0.006	-0.077	0.039	0.120	___.sksksk -0.729^***	__ .sk 0.176^*	-0.075	0.108
EXP_exit t-1	-0.415	-0.042	0.200	-0.254^*	0.436^*	.sksksk 0.212^***	-0.106^*	0.052
EXP_both t+1	0.694	-0.040	-0.091	0.086	-0.006	-0.072	-0.039	-0.058
EXP_both t	0.026	_ _sksk 0.185^**	-0.057	-0.002	0.001	0.070	0.035	0.038
EXP_both t-1	_ _ -SkSkSk 0.309^***	-0.063	0.205	0.064	-0.012	-0.010	-0.006	-0.088
No. of Obs.	682	2564	2100	5178	4525	6386	3731	3443
No. of groups_________	261	685	509	1526	1089	1610	948	890

Notes: Refer to Table 2 for details of industry group codes. The 2-step GMM system estimator in STATA 9 is used
using FAME data in conjunction with weights; the instrument set includes lagged values of the RHS variables
in the model as well as ln Age_it and Intang_it . Standard errors are obtained using the ‘delta’ method. See

Table 3 for details of estimation of other variables. ^***/**/* significant at the 1%/5%/10% level.

More intriguing information

1. The name is absent
2. The Shepherd Sinfonia
3. DETERMINANTS OF FOOD AWAY FROM HOME AMONG AFRICAN-AMERICANS
4. Beyond Networks? A brief response to ‘Which networks matter in education governance?’
5. Population ageing, taxation, pensions and health costs, CHERE Working Paper 2007/10
6. Innovation Trajectories in Honduras’ Coffee Value Chain. Public and Private Influence on the Use of New Knowledge and Technology among Coffee Growers
7. Does adult education at upper secondary level influence annual wage earnings?
8. Endogenous Determination of FDI Growth and Economic Growth:The OECD Case
9. sycnoιogιcaι spaces
10. The Dynamic Cost of the Draft