Package index
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md_ABC_2000_income - ABC 2000 Income (microdata)
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md_ABC_2010_income - ABC 2010 Income (microdata)
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md_DEF_2000_consumption - DEF 2000 Consumption (microdata)
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md_GHI_2000_consumption - GHI 2000 Consumption (microdata)
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md_GHI_2000_income - GHI 2000 Income (microdata)
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grouped_data_ex1 - A dataset containing fake group data distribution
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grouped_data_ex2 - A dataset containing fake group data distribution
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grouped_data_ex3 - A dataset containing fake group data distribution
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gd_GHI_2009_income - GHI 2009 Income (group data)
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gd_clean_data() - Clean data (grouped)
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gd_estimate_distribution() - Estimate distribution (grouped data)
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check_curve_validity_lb() - Check validity of Lorenz beta fit
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check_curve_validity_lq() - Check validity of Lorenz Quadratic fit
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create_functional_form_lb() - create_functional_form_lb
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create_functional_form_lq() - Prepares data for Lorenz Quadratic regression
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derive_lb() - Returns the first derivative of the beta Lorenz- Vectorized
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derive_lq() - Returns the first derivative of the quadratic Lorenz
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value_at_lb() - Solves for beta Lorenz curves
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value_at_lq() - Solves for quadratic Lorenz curves
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get_lorenz() - Lorenz curve
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md_compute_lorenz() - Lorenz curve
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regres() - Perform linear regression on Lorenz formatted input
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use_lq_for_distributional() - Algorithm to decide which Lorenz fit to use for distributional statistics
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use_lq_for_poverty() - Algorithm to decide which Lorenz fit to use for poverty statistics
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gd_compute_fit_lb() - Computes the sum of squares of error Measures the fit of the model to the data.
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gd_compute_fit_lq() - Computes the sum of squares of error
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gd_compute_gini_lb() - Compute gini index from Lorenz beta fit
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gd_compute_gini_lq() - Compute gini index from Lorenz Quadratic fit
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gd_compute_headcount_lb() - Compute the headcount statistic from Lorenz Beta fit
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gd_compute_headcount_lq() - Compute poverty for Quadratic Lorenz
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gd_compute_mld_lb() - Computes MLD from Lorenz beta fit
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gd_compute_mld_lq() - Computes MLD from Lorenz Quadratic fit
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gd_compute_polarization_lb() - Computes polarization index from parametric Lorenz fit
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gd_compute_polarization_lq() - Computes polarization index from parametric Lorenz fit
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gd_compute_pov_gap_lb() - Compute poverty gap for Lorenz Beta fit
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gd_compute_pov_gap_lq() - Compute poverty gap using Lorenz quadratic fit
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gd_compute_pov_severity_lb() - Compute poverty severity for Lorenz Beta fit
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gd_compute_pov_severity_lq() - Compute poverty severity for Lorenz Quadratic fit
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gd_compute_watts_lb() - Computes Watts Index from beta Lorenz fit
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gd_compute_watts_lq() - Computes Watts Index from Quadratic Lorenz fit
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fill_gaps() - Fill gaps
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compute_pip_stats() - Compute default PIP statistics (microdata)
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md_compute_cumulative_share() - Welfare share by quantile in micro data
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md_compute_fgt()md_compute_headcount()md_compute_pov_gap()md_compute_pov_severity()md_compute_watts() - Compute FGT poverty family measures and Watts index for Microdata
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md_compute_mld() - Mean Log Deviation
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md_compute_polarization() - Wolfson polarization index
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md_compute_poverty_stats() - Compute Poverty Statistics
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get_gini() - Gini coefficient
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md_compute_gini() - Gini coefficient
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prod_compute_pip_stats() - Compute default PIP statistics (microdata, prod)
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deflate_welfare_mean() - Deflate welfare mean
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get_bins() - Bins
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predict_request_year_mean() - Predict request year mean
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get_9010_ratio() - Calculate ratio of the top 10% to the bottom 10% of the welfare distribution
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get_average_shortfall() - Calculate average shortfall for the poor using headcount, poverty gap ratio, and poverty line
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get_income_gap_ratio() - Calculate income gap ratio from headcount and poverty gap
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get_number_poor() - Calculate the number of poor using headcount and population
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get_palma_ratio() - Calculate Palma ratio using decile information
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get_total_shortfall() - Calculate total shortfall from headcount, poverty gap, and poverty line