Census Ministry of Public Administration Financial burden C Debt costs divided

Census ministry of public administration financial

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Census, Ministry of Public Administration. Financial burden C Debt costs divided by current income. We consider the mean in the two years before 2006. If it contracted out it is the mean within the two years before the election. In the contrary case, it is the mean within all the period. Budget of Local Corporation, Ministry of Economics.
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22 Consortium D 1: If the municipality belongs to a consortium whose regulations allow them to manage to water services. 0: If the municipality does not belong to any consortium. Value in 2006. In case of contracting out equals 1 if the municipality belong to a consortium the year before and 0 if not In the contrary case, 1 if the municipality belong to a consortium in the middle of the period and 0 if not. Ministry of Public Administration. Urban Agglomeration D 0: If the municipality does not belong to an urban agglomeration 1: If the municipality belongs to an urban agglomeration 0: If the municipality does not belong to an urban agglomeration 1: If the municipality belongs to an urban agglomeration Andalusian Regional Government . Coast D 1: If the municipality is on the coast. 0: If it is not on the coast. 1: If the municipality has a coastline 0: If the municipality does not have a coastline Municipal census, National Institute of Statistics Guadalquivir D 1: If the municipality belongs to the Guadalquivir Basin 0: if not. 1: If the municipality belongs to the Guadalquivir Basin. 0: If not. Hydrographic Confederation of the River Guadalquivir Guadiana D 1: If the municipality belongs to the Guadiana Basin 0: if not. 1: If the municipality belongs to the Guadiana Basin. 0: If not. Hydrographic Confederation of the River Guadiana South D 1: If the municipality belongs to the South Basin 0: if not. 1: If the municipality belongs to the South Basin. 0: If not . Hydrographic Confederation of the South C stands for continuous specification of each covariate, and D stands for discrete specification.
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23 Table 2.- Descriptive statistics Variables Method 1 Method 2 contracting-out 40.9% 40.9% population 8.4 7.4 population squared 819.7 661.5 ideology 19.8% 14.2% power switching 12.6% 45.6% financial burden 1.9 3.7 consortium 37.2% 28.8% urban agglomeration 22.2% 22.2% Coast 8.1% 8.1% Guadalquivir 55.2% 55.2% Guadiana 9.0% 9.0% South 34.7% 34.7% We include the frequency for the qualitative variables and the mean for the quantitative ones.
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24 Table 3.- Binary probit estimation Variables Type 1 Type 2 Constant -1.112756*** (0.1412592) -2.781134*** (0.2414836) Population 0.0312567*** (0.0061652) 0.0197403* (0.010401) population squared -0.0000529*** (0.0000125) -0.0000296 (0.0000239) ideology -0.1418249 (0.1515886) -0.7531412*** (0.2276333) power switching 0.1758824 (0.166414) 2.757034*** (0.1630153) financial burden 0.0443905 (0.0327701) 0.1149666*** (0.0298364) Consortium 0.5712721*** (0.1139623) 0.5342746*** (0.1658539) urban agglomeration 0.4622894*** (0.1389085) 0.5127475*** (0.1961989) Coast 0.231196 (0.2429364) 0.1178598 (0.3149916) Guadalquivir 0.4962663*** (0.1317315) 0.4954657*** (0.1767412) Guadiana -0.0023607 (0.206226) -0.134087 (0.276896)
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25 Log-likelihood -387.30554 -176.93224 Pseudo R 2 0.1519 0.6456 Estimated coefficients are presented, and standard errors between brackets. South is the omitted variable to avoid perfect multicollineality.
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