Man pages for PIP-Technical-Team/wbpip
What the Package Does (One Line, Title Case)
| check_curve_validity_dist_lb | check_curve_validity_dist_lb Check validity of Lorenz beta... |
| check_curve_validity_lb | Check validity of Lorenz beta fit |
| check_curve_validity_lq | Check validity of Lorenz Quadratic fit |
| check_NA_Inf_values | Check for NA values in vector |
| check_neg_values | Check for negative values in vector |
| compute_pip_stats | Compute default PIP statistics (microdata) |
| compute_spl | Compute SPL |
| create_functional_form_lb | create_functional_form_lb |
| create_functional_form_lq | Prepares data for Lorenz Quadratic regression |
| deflate_welfare_mean | Deflate welfare mean |
| derive_lb | Returns the first derivative of the beta Lorenz- Vectorized |
| derive_lq | Returns the first derivative of the quadratic Lorenz |
| fill_gaps | Fill gaps |
| gd_clean_data | Clean data (grouped) |
| gd_compute_dist_fit_lb | Computes the sum of squares of error Measures the fit of the... |
| gd_compute_dist_fit_lq | Computes the sum of squares of error |
| gd_compute_dist_stats | Computes distributional statistics (grouped) |
| gd_compute_dist_stats_lb | Computes distributional stats from Lorenz beta fit |
| gd_compute_dist_stats_lq | Computes distributional stats from Lorenz Quadratic fit |
| gd_compute_fit_lb | Computes the sum of squares of error Measures the fit of the... |
| gd_compute_fit_lq | Computes the sum of squares of error |
| gd_compute_gini_lb | Compute gini index from Lorenz beta fit |
| gd_compute_gini_lq | Compute gini index from Lorenz Quadratic fit |
| gd_compute_headcount_lb | Compute the headcount statistic from Lorenz Beta fit |
| gd_compute_headcount_lq | Compute poverty for Quadratic Lorenz |
| gd_compute_mld_lb | Computes MLD from Lorenz beta fit |
| gd_compute_mld_lq | Computes MLD from Lorenz Quadratic fit |
| gd_compute_pip_stats | Computes poverty and inequality statistics (grouped) |
| gd_compute_pip_stats_lb | Computes poverty statistics (Lorenz beta) |
| gd_compute_pip_stats_lq | Computes poverty statistics (Lorenz quadratic) |
| gd_compute_polarization_lb | Computes polarization index from parametric Lorenz fit |
| gd_compute_polarization_lq | Computes polarization index from parametric Lorenz fit |
| gd_compute_poverty_stats | Computes poverty statistics (grouped) |
| gd_compute_poverty_stats_lb | Computes poverty stats from Lorenz beta fit |
| gd_compute_poverty_stats_lq | Computes poverty stats from Lorenz Quadratic fit |
| gd_compute_pov_gap_lb | Compute poverty gap for Lorenz Beta fit |
| gd_compute_pov_gap_lq | Compute poverty gap using Lorenz quadratic fit |
| gd_compute_pov_severity_lb | Compute poverty severity for Lorenz Beta fit |
| gd_compute_pov_severity_lq | Compute poverty severity for Lorenz Quadratic fit |
| gd_compute_quantile_lb | Compute quantiles from Lorenz Quandratic fit |
| gd_compute_quantile_lq | Compute quantiles from Lorenz Quandratic fit |
| gd_compute_watts_lb | Computes Watts Index from beta Lorenz fit |
| gd_compute_watts_lq | Computes Watts Index from Quadratic Lorenz fit |
| gd_estimate_distribution | Estimate distribution (grouped data) |
| gd_estimate_dist_stats_lb | Estimates distributional stats from beta Lorenz fit |
| gd_estimate_dist_stats_lq | gd_estimate_dist_stats_lq Estimates distributional stats from... |
| gd_estimate_lb | Estimates poverty and inequality stats from beta Lorenz fit |
| gd_estimate_lq | Estimates poverty and inequality stats from Quadratic Lorenz... |
| gd_estimate_poverty_stats_lb | Estimates poverty stats from beta Lorenz fit |
| gd_estimate_poverty_stats_lq | gd_estimate_poverty_stats_lq Estimates poverty stats from... |
| gd_GHI_2009_income | GHI 2009 Income (group data) |
| gd_lq_key_values | Calculates the key values in Table 2 of Datt (1998) |
| gd_select_lorenz | Select best Lorenz fit |
| gd_select_lorenz_dist | gd_select_lorenz_dist Select best Lorenz fit for... |
| gd_select_lorenz_poverty | gd_select_lorenz_dist Select best Lorenz fit for poverty... |
| get_9010_ratio | Calculate ratio of the top 10% to the bottom 10% of the... |
| get_average_shortfall | Calculate average shortfall for the poor using headcount,... |
| get_bins | Bins |
| get_gini | Gini coefficient |
| get_income_gap_ratio | Calculate income gap ratio from headcount and poverty gap |
| get_lorenz | Lorenz curve |
| get_number_poor | Calculate the number of poor using headcount and population |
| get_palma_ratio | Calculate Palma ratio using decile information |
| get_total_shortfall | Calculate total shortfall from headcount, poverty gap, and... |
| grouped_data_ex1 | A dataset containing fake group data distribution |
| grouped_data_ex2 | A dataset containing fake group data distribution |
| grouped_data_ex3 | A dataset containing fake group data distribution |
| lorenz_alt | lorenz_alt |
| md_ABC_2000_income | ABC 2000 Income (microdata) |
| md_ABC_2010_income | ABC 2010 Income (microdata) |
| md_clean_data | Clean data (micro) |
| md_compute_bins | Compute bins |
| md_compute_cumulative_share | Welfare share by quantile in micro data |
| md_compute_dist_stats | Compute distributional statistics |
| md_compute_fgt | Compute FGT poverty family measures and Watts index for... |
| md_compute_gini | Gini coefficient |
| md_compute_lorenz | Lorenz curve |
| md_compute_median | Compute median for microdata |
| md_compute_mld | Mean Log Deviation |
| md_compute_pip_stats | Compute default PIP statistics |
| md_compute_polarization | Wolfson polarization index |
| md_compute_poverty_stats | Compute Poverty Statistics |
| md_compute_povline_lcu | Compute poverty line in Local Currency Unit (LCU) |
| md_compute_quantiles | Compute quantiles for microdata with lorenz function |
| md_compute_quantiles_c | Compute quantiles for microdata with collapse |
| md_compute_quantiles_share | Compute quantiles share |
| md_DEF_2000_consumption | DEF 2000 Consumption (microdata) |
| md_GHI_2000_consumption | GHI 2000 Consumption (microdata) |
| md_GHI_2000_income | GHI 2000 Income (microdata) |
| md_infer_poverty_line | Infer poverty line |
| predict_request_year_mean | Predict request year mean |
| prod_compute_pip_stats | Compute default PIP statistics (microdata, prod) |
| prod_gd_compute_pip_stats | Computes poverty statistics (grouped, prod) |
| prod_gd_compute_pip_stats_lb | Computes poverty statistics (Lorenz beta) |
| prod_gd_compute_pip_stats_lq | Computes poverty statistics (Lorenz quadratic, prod) |
| prod_gd_estimate_lb | Estimates poverty and inequality stats from beta Lorenz fit |
| prod_gd_estimate_lq | Estimates poverty and inequality stats from Quadratic Lorenz... |
| prod_gd_select_lorenz | Select best Lorenz fit (prod) |
| prod_md_compute_pip_stats | Compute default PIP statistics (prod) |
| regres | Perform linear regression on Lorenz formatted input |
| retrieve_distributional | Algorithm to retrieve correct distributional statistics |
| retrieve_poverty | Algorithm to retrieve correct poverty statistics |
| sd_create_synth_vector | Create synthetic vector based on Lorenz parameters of group... |
| use_lq_for_distributional | Algorithm to decide which Lorenz fit to use for... |
| use_lq_for_poverty | Algorithm to decide which Lorenz fit to use for poverty... |
| value_at_lb | Solves for beta Lorenz curves |
| value_at_lq | Solves for quadratic Lorenz curves |
| wbpip-package | wbpip: What the Package Does (One Line, Title Case) |
| which_na | find unique obs with specific characteristics |
