Table 1.

Variable Descriptions and Descriptive Statistics

Variable labelShort descriptionNMinMaxMeanStd. dev.
Dependent variables
 Past neg. SWB dynamicSWB deteriorated over last 12 months21,839010.212
 Future neg. SWB dynamicSWB will deteriorate over next 12 months17,892010.105
 Shock expectationsFlood shock expected to occur within the next five years17,892010.271
 Redistribution preferencesSupport for more government redistribution2,879010.627
Control variables
 Rel. HH income p.c.HH income per nucleus HH member relative to in-sample province median21,8390.000205.9211.5873.168
 HH income fluctuationFluctuation of HH income (1: not at all 38.9%, 2: a bit 49.6%, 3: a lot 11.6%)21,83913
 GenderRespondent’s gender (0: male, 1: female)21,839010.520
 AgeRespondent’s age21,8391510552.08513.551
 Health dynamicsHealth status compared to one year before (1: worse 32.7%, 2: same 56.7%, 3: better 11.1%)21,83913
 Marital statusRelationship indicator (1: unmarried 5.4%, 2: married 84.8%, 3: widowed 11.8%)21,83913
 Educational attainmentHighest completed educational attainment (0: no schooling 47.3%, 1: primary 27.8%, 2: lower secondary 16.1%, 3: upper secondary (or higher) 8.9%21,83903
 Main occupational statusMain occupational status in the last year (0: no occupation 4.9%, 1: only non-farming occ. 17.8%, 2: farming main occ. 68.8%, 3: farming sec. occ. 9.5%)21,83903
Shock experience variables
 Flood or heavy rain shockFlood or heavy rain shock experience in last 12 months21,839010.089
 Flood or heavy rain shock severitySeverity of severe flood or heavy rain shock experience in last 12 months (0: none 91.1%, 1: moderate 4.1%, high 4.9%)21,83902
 Drought shockDrought shock experience in last 12 months20,769010.129
 Storm shockStorm shock experience in last 12 months20,769010.041
 Ice or snow rain shockIce or snow rain shock experience in last 12 months20,769010.016
Sensitivity analyses
 Network (r = 5, 000, m = 12)Distance weighted share of village HH with flood or heavy rain shock experience in past 12 months20,769010.0890.167
 Village agg. (savings)Share of households in village with access to savings20,769010.5990.304
 Village agg. (transfers)Share of households in village receiving public transfers20,769010.4880.350
 Village agg. (no occ.)Share of households in village without occupation20,76900.5710.0510.082
 Village agg. (non-farm occ.)Share of households in village with non-farm occupation20,769010.1900.179
 Flood history (r = 5, 000)HH specific average maximum yearly TSE exposure in r20,7690195.33320.18337.049
 Cultivation plots (r = 5, 000)Number of cultivation plots in r20,7690283.2091.919
 Rice cultivation (r = 5, 000, m = 12)Rice was cultivated within r and in growth season during m15,139010.893
 Mental issuesSerious incidence of mental disease or depression (0: no, 1: yes)19,723010.003
 HeadacheSerious incidence of headache in the last year (0: no, 1: yes)19,723010.013
Variable labelShort descriptionNMinMaxMeanStd. dev.
Dependent variables
 Past neg. SWB dynamicSWB deteriorated over last 12 months21,839010.212
 Future neg. SWB dynamicSWB will deteriorate over next 12 months17,892010.105
 Shock expectationsFlood shock expected to occur within the next five years17,892010.271
 Redistribution preferencesSupport for more government redistribution2,879010.627
Control variables
 Rel. HH income p.c.HH income per nucleus HH member relative to in-sample province median21,8390.000205.9211.5873.168
 HH income fluctuationFluctuation of HH income (1: not at all 38.9%, 2: a bit 49.6%, 3: a lot 11.6%)21,83913
 GenderRespondent’s gender (0: male, 1: female)21,839010.520
 AgeRespondent’s age21,8391510552.08513.551
 Health dynamicsHealth status compared to one year before (1: worse 32.7%, 2: same 56.7%, 3: better 11.1%)21,83913
 Marital statusRelationship indicator (1: unmarried 5.4%, 2: married 84.8%, 3: widowed 11.8%)21,83913
 Educational attainmentHighest completed educational attainment (0: no schooling 47.3%, 1: primary 27.8%, 2: lower secondary 16.1%, 3: upper secondary (or higher) 8.9%21,83903
 Main occupational statusMain occupational status in the last year (0: no occupation 4.9%, 1: only non-farming occ. 17.8%, 2: farming main occ. 68.8%, 3: farming sec. occ. 9.5%)21,83903
Shock experience variables
 Flood or heavy rain shockFlood or heavy rain shock experience in last 12 months21,839010.089
 Flood or heavy rain shock severitySeverity of severe flood or heavy rain shock experience in last 12 months (0: none 91.1%, 1: moderate 4.1%, high 4.9%)21,83902
 Drought shockDrought shock experience in last 12 months20,769010.129
 Storm shockStorm shock experience in last 12 months20,769010.041
 Ice or snow rain shockIce or snow rain shock experience in last 12 months20,769010.016
Sensitivity analyses
 Network (r = 5, 000, m = 12)Distance weighted share of village HH with flood or heavy rain shock experience in past 12 months20,769010.0890.167
 Village agg. (savings)Share of households in village with access to savings20,769010.5990.304
 Village agg. (transfers)Share of households in village receiving public transfers20,769010.4880.350
 Village agg. (no occ.)Share of households in village without occupation20,76900.5710.0510.082
 Village agg. (non-farm occ.)Share of households in village with non-farm occupation20,769010.1900.179
 Flood history (r = 5, 000)HH specific average maximum yearly TSE exposure in r20,7690195.33320.18337.049
 Cultivation plots (r = 5, 000)Number of cultivation plots in r20,7690283.2091.919
 Rice cultivation (r = 5, 000, m = 12)Rice was cultivated within r and in growth season during m15,139010.893
 Mental issuesSerious incidence of mental disease or depression (0: no, 1: yes)19,723010.003
 HeadacheSerious incidence of headache in the last year (0: no, 1: yes)19,723010.013

Source: Authors’ own calculations based on TVSEP flood data from 2007 to 2017 and MODIS flood data for respective years.

Note: Descriptive statistics for explanatory variables are conditioned on the sample used in the main analysis (21,839 observations). Variables from the sensitivity analyses refer to the corresponding sample of each analysis. The same holds for variables used in the analysis of further implications of TSE. In the case of categorical variables, no means or standard deviations are reported. For binary indicators, the means indicate the share of responses coded as 1.

Table 1.

Variable Descriptions and Descriptive Statistics

Variable labelShort descriptionNMinMaxMeanStd. dev.
Dependent variables
 Past neg. SWB dynamicSWB deteriorated over last 12 months21,839010.212
 Future neg. SWB dynamicSWB will deteriorate over next 12 months17,892010.105
 Shock expectationsFlood shock expected to occur within the next five years17,892010.271
 Redistribution preferencesSupport for more government redistribution2,879010.627
Control variables
 Rel. HH income p.c.HH income per nucleus HH member relative to in-sample province median21,8390.000205.9211.5873.168
 HH income fluctuationFluctuation of HH income (1: not at all 38.9%, 2: a bit 49.6%, 3: a lot 11.6%)21,83913
 GenderRespondent’s gender (0: male, 1: female)21,839010.520
 AgeRespondent’s age21,8391510552.08513.551
 Health dynamicsHealth status compared to one year before (1: worse 32.7%, 2: same 56.7%, 3: better 11.1%)21,83913
 Marital statusRelationship indicator (1: unmarried 5.4%, 2: married 84.8%, 3: widowed 11.8%)21,83913
 Educational attainmentHighest completed educational attainment (0: no schooling 47.3%, 1: primary 27.8%, 2: lower secondary 16.1%, 3: upper secondary (or higher) 8.9%21,83903
 Main occupational statusMain occupational status in the last year (0: no occupation 4.9%, 1: only non-farming occ. 17.8%, 2: farming main occ. 68.8%, 3: farming sec. occ. 9.5%)21,83903
Shock experience variables
 Flood or heavy rain shockFlood or heavy rain shock experience in last 12 months21,839010.089
 Flood or heavy rain shock severitySeverity of severe flood or heavy rain shock experience in last 12 months (0: none 91.1%, 1: moderate 4.1%, high 4.9%)21,83902
 Drought shockDrought shock experience in last 12 months20,769010.129
 Storm shockStorm shock experience in last 12 months20,769010.041
 Ice or snow rain shockIce or snow rain shock experience in last 12 months20,769010.016
Sensitivity analyses
 Network (r = 5, 000, m = 12)Distance weighted share of village HH with flood or heavy rain shock experience in past 12 months20,769010.0890.167
 Village agg. (savings)Share of households in village with access to savings20,769010.5990.304
 Village agg. (transfers)Share of households in village receiving public transfers20,769010.4880.350
 Village agg. (no occ.)Share of households in village without occupation20,76900.5710.0510.082
 Village agg. (non-farm occ.)Share of households in village with non-farm occupation20,769010.1900.179
 Flood history (r = 5, 000)HH specific average maximum yearly TSE exposure in r20,7690195.33320.18337.049
 Cultivation plots (r = 5, 000)Number of cultivation plots in r20,7690283.2091.919
 Rice cultivation (r = 5, 000, m = 12)Rice was cultivated within r and in growth season during m15,139010.893
 Mental issuesSerious incidence of mental disease or depression (0: no, 1: yes)19,723010.003
 HeadacheSerious incidence of headache in the last year (0: no, 1: yes)19,723010.013
Variable labelShort descriptionNMinMaxMeanStd. dev.
Dependent variables
 Past neg. SWB dynamicSWB deteriorated over last 12 months21,839010.212
 Future neg. SWB dynamicSWB will deteriorate over next 12 months17,892010.105
 Shock expectationsFlood shock expected to occur within the next five years17,892010.271
 Redistribution preferencesSupport for more government redistribution2,879010.627
Control variables
 Rel. HH income p.c.HH income per nucleus HH member relative to in-sample province median21,8390.000205.9211.5873.168
 HH income fluctuationFluctuation of HH income (1: not at all 38.9%, 2: a bit 49.6%, 3: a lot 11.6%)21,83913
 GenderRespondent’s gender (0: male, 1: female)21,839010.520
 AgeRespondent’s age21,8391510552.08513.551
 Health dynamicsHealth status compared to one year before (1: worse 32.7%, 2: same 56.7%, 3: better 11.1%)21,83913
 Marital statusRelationship indicator (1: unmarried 5.4%, 2: married 84.8%, 3: widowed 11.8%)21,83913
 Educational attainmentHighest completed educational attainment (0: no schooling 47.3%, 1: primary 27.8%, 2: lower secondary 16.1%, 3: upper secondary (or higher) 8.9%21,83903
 Main occupational statusMain occupational status in the last year (0: no occupation 4.9%, 1: only non-farming occ. 17.8%, 2: farming main occ. 68.8%, 3: farming sec. occ. 9.5%)21,83903
Shock experience variables
 Flood or heavy rain shockFlood or heavy rain shock experience in last 12 months21,839010.089
 Flood or heavy rain shock severitySeverity of severe flood or heavy rain shock experience in last 12 months (0: none 91.1%, 1: moderate 4.1%, high 4.9%)21,83902
 Drought shockDrought shock experience in last 12 months20,769010.129
 Storm shockStorm shock experience in last 12 months20,769010.041
 Ice or snow rain shockIce or snow rain shock experience in last 12 months20,769010.016
Sensitivity analyses
 Network (r = 5, 000, m = 12)Distance weighted share of village HH with flood or heavy rain shock experience in past 12 months20,769010.0890.167
 Village agg. (savings)Share of households in village with access to savings20,769010.5990.304
 Village agg. (transfers)Share of households in village receiving public transfers20,769010.4880.350
 Village agg. (no occ.)Share of households in village without occupation20,76900.5710.0510.082
 Village agg. (non-farm occ.)Share of households in village with non-farm occupation20,769010.1900.179
 Flood history (r = 5, 000)HH specific average maximum yearly TSE exposure in r20,7690195.33320.18337.049
 Cultivation plots (r = 5, 000)Number of cultivation plots in r20,7690283.2091.919
 Rice cultivation (r = 5, 000, m = 12)Rice was cultivated within r and in growth season during m15,139010.893
 Mental issuesSerious incidence of mental disease or depression (0: no, 1: yes)19,723010.003
 HeadacheSerious incidence of headache in the last year (0: no, 1: yes)19,723010.013

Source: Authors’ own calculations based on TVSEP flood data from 2007 to 2017 and MODIS flood data for respective years.

Note: Descriptive statistics for explanatory variables are conditioned on the sample used in the main analysis (21,839 observations). Variables from the sensitivity analyses refer to the corresponding sample of each analysis. The same holds for variables used in the analysis of further implications of TSE. In the case of categorical variables, no means or standard deviations are reported. For binary indicators, the means indicate the share of responses coded as 1.

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