Thomas B. Fomby, Yuki Ikeda, and Norman V. Loayza, "The Growth Aftermath of Natural Disasters", Journal of Applied Econometrics, Vol. 28, No. 3, 2013, pp. 412-434. I. The sources from which the data were taken The data on natural disasters were obtained from the Emergency Disasters Database (EM-DAT), maintained by the Centre for Research on the Epidemiology of Disasters (CRED), and the data on macroeconomic variables were taken from the World Development Indicators (WDI) of the World Bank. II. The number of observations We use annual panel data for 84 countries over the period 1960-2007. The panel is unbalanced. We split the panel into two groups: developing countries and developed countries, classifying 60 countries into the first group and the other 24 counties into the second group. Table A-I in the Supplement of the paper (available online at the JAE homepage) gives the list of countries of these groups. In our data for developing countries, we have 2097 observations with the growth rate of real GDP per capita, 1878 observations with the growth rate of real agricultural value added per capita, and 1863 observations with the growth rate of real non-agricultural value added per capita. As for developed countries, we have 853 observations with the growth rate of real GDP per capita, 740 observations with the growth rate of real agricultural value added per capita, and 740 observations with the growth rate of real non-agricultural value added per capita. The size of the dataset in dta format for STATA, fil-data.dta, is 2.25 MB, and the size of the dataset in txt format, fil-data.txt, is 2.16 MB. The list of the variables in the dataset is the following. III. The list of variables [Varible name] [Description] year Year ccode Country code cname Country name pop Population rgdp Real GDP (constant LCU) lrgdp Log of real GDP per capita growth Growth rate of real GDP per capita agrgdpcondoll Agriculture, value added (constant 2000 US$) agrpcgdp Agriculture, per capita Value Added (constant 2000 US$) agrgrowth Growth rate of agricultural value added per capita indgdpcondoll Industry, value added (constant 2000 US$) servgdpcondoll Services, etc., value added (constant 2000 US$) indpcgdp Industry, per capita Value Added (constant 2000 US$) servpcgdp Services, per capita Value Added (constant 2000 US$) noagrowth Growth rate of non-agricultural value added per capita tot Terms of trade ltot Terms of trade (in logs) totgr Terms of trade growth capform Gross fixed capital formation/GDP (in logs) g_capform Growth rate of gross fixed capital formation/GDP lcpi Consumer price index (in logs) i_cpi 1 + growth rate of CPI (in logs) openness (Exports+imports)/GDP (in logs) g_openness Growth rate of (Exports+imports)/GDP govcon General government final consumption expenditure/GDP (in logs) g_govcon Growth rate of general government final consumption expenditure/GDP privcred Domestic credit to private sector/GDP (in logs) g_privcred Growth rate of domestic credit to private sector/GDP lwldgdp World real GDP per capita (in logs) world_growth Growth rate of World real GDP per capita drought Drought, \sum_i 1(intensity > 0.0001){intensity_i} earthquake Earthquake, sum_i 1(intensity > 0.0001){intensity_i} flood Flood, sum_i 1(intensity > 0.0001){intensity_i} storm Storm, sum_i 1(intensity > 0.0001){intensity_i} drought2 Drought2, sum_i 1(intensity2 > 0.0001){intensity2_i} earthquake2 Earthquake2, sum_i 1(intensity2 > 0.0001){intensity2_i} flood2 Flood2, sum_i 1(intensity2 > 0.0001){intensity2_i} storm2 Storm2, sum_i 1(intensity2 > 0.0001){intensity2_i} droughtsev Severe drought, sum_i 1(intensity > 0.01){intensity_i} erqsev Severe earthquake, sum_i 1(intensity > 0.01){intensity_i} floodsev Severe flood, sum_i 1(intensity > 0.01){intensity_i} stormsev Severe storm, sum_i 1(intensity > 0.01){intensity_i} droughtcont Drought (continuous), ln(\sum_i intensity_i) erqcont Earthquake (continuous), ln(\sum_i intensity_i) floodcont Flood (continuous), ln(\sum_i intensity_i) stormcont Storm (continuous), ln(\sum_i intensity_i) droughtfatal Drought fatalities, ln(\sum_i intensity_i) erqfatal Earthquake fatalities, ln(\sum_i intensity_i) floodfatal Flood fatalities, ln(\sum_i intensity_i) stormfatal Storm fatalities, ln(\sum_i intensity_i) IV. Data organization in the data files [1] STATA files The main Stata data file, fil-data.dta, is zipped in stata-data-file.zip. The same data is also stored in the ASCII file fil-data.txt, which is zipped in stata-text-files.zip, along with the following files: - data_prep.do (the main do file) - ArabOECD.do - cnt95.do - continuous.do - developing.do - lag.do - replace_outliers.do All do files except the main do file, data_prep.do, are sub-files used in it. Unix/Linux users should use "unzip -a" for stata-text-files.zip but *not* for stata-data-file.zip. [2] Spreadsheets All spreadsheets are stored in the file spreadsheets-xls.zip. There are also ASCII text versions in spreadsheets-text.zip. Unix/Linux users should use "unzip -a" for spreadsheets-text.zip but not for spreadsheets-xls.zip. - dev_grow.xls / dev_grow.txt - dev_agr.xls / dev_agr.txt - dev_non.xls / dev_non.txt - rich_grow.xls / rich_grow.txt - rich_agr.xls / rich_agr.txt - rich_non.xls / rich_non.txt [3] MATLAB files All m files for MATLAB are stored in the file matlab-files.zip. These are ASCII files in DOS format, so Unix/Linux users should use "unzip -a". There are seven Matlab files: - apply_BSBC.m (the main m file for the BSBC estimator) [Table III, IV in the paper and Table B-II, III, IV in the supplement] - apply_severe_BSBC.m (the main m file for the BSBC estimator) [Table V in the paper] - apply_LSDV.m (the main m file for the BSBC estimator) [Table B-I in the supplement] - apply_severe_LSDV.m (the main m file for the BSBC estimator) - btst.m - meanpsi.m - psimat.m The last 3 files are sub-files used in the first 4 files. Yuki Ikeda yi22 [AT] georgetown.edu