Roy Katayama
Biographic Data
| ID | 6729123 |
|---|---|
| NAME | Roy Katayama |
| GIVEN NAMES | Roy |
| FAMILY NAME | Katayama |
| SIGNATURE | KATAYAMA R |
| AFFILIATIONS | World Bank |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2010 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 1 |
Prospects of Estimating Poverty with Phone Surveys
Telephone surveys enable us to collect \n data in a cost-effective and timely manner, but may not be \n conducive for collecting detailed consumption or income data \n for measuring poverty due to the required length of the \n interview and complexity of the questions. Combining \n telephone surveys with a survey-to-survey imputation \n technique may be a solution, as this technique can produce \n reliable poverty estimates from only 10 to 20 sim…
Too little too late
The authors use regression analysis to \n assess the potential welfare impact of rainfall shocks in \n rural Indonesia. In particular, they consider two shocks: \n (i) a delay in the onset of monsoon and (ii) a significant \n shortfall in the amount of rain in the 90 day post-onset \n period. Focusing on households with family farm businesses, \n the analysis finds that a delay in the monsoon onset does \n not have a significant impact on the wel…
Sources of welfare disparities between and within regions of Brazil
Journal Article Sources of welfare disparities between and within regions of Brazil: evidence from the 2002–2003 household budget survey (POF) Get access Emmanuel Skoufias, Emmanuel Skoufias † The World Bank (MSN: MC4-415), 1818 H Street NW, Washington DC, 20433, USA. †Corresponding author: email Search for other works by this author on: Oxford Academic Google Scholar Roy S. Katayama Roy S. Katayama The World Bank (MSN: MC4-415), 1818 H Street NW…
Too little too late
The authors use regression analysis to \n assess the potential welfare impact of rainfall shocks in \n rural Indonesia. In particular, they consider two shocks: \n (i) a delay in the onset of monsoon and (ii) a significant \n shortfall in the amount of rain in the 90 day post-onset \n period. Focusing on households with family farm businesses, \n the analysis finds that a delay in the monsoon onset does \n not have a significant impact on the wel…
Sources of welfare disparities between and within regions of Brazil
Journal Article Sources of welfare disparities between and within regions of Brazil: evidence from the 2002–2003 household budget survey (POF) Get access Emmanuel Skoufias, Emmanuel Skoufias † The World Bank (MSN: MC4-415), 1818 H Street NW, Washington DC, 20433, USA. †Corresponding author: email Search for other works by this author on: Oxford Academic Google Scholar Roy S. Katayama Roy S. Katayama The World Bank (MSN: MC4-415), 1818 H Street NW…
Sources of welfare disparities between and within regions of Brazil
Journal Article Sources of welfare disparities between and within regions of Brazil: evidence from the 2002–2003 household budget survey (POF) Get access Emmanuel Skoufias, Emmanuel Skoufias † The World Bank (MSN: MC4-415), 1818 H Street NW, Washington DC, 20433, USA. †Corresponding author: email Search for other works by this author on: Oxford Academic Google Scholar Roy S. Katayama Roy S. Katayama The World Bank (MSN: MC4-415), 1818 H Street NW…
Too little too late
The authors use regression analysis to \n assess the potential welfare impact of rainfall shocks in \n rural Indonesia. In particular, they consider two shocks: \n (i) a delay in the onset of monsoon and (ii) a significant \n shortfall in the amount of rain in the 90 day post-onset \n period. Focusing on households with family farm businesses, \n the analysis finds that a delay in the monsoon onset does \n not have a significant impact on the wel…
Prospects of Estimating Poverty with Phone Surveys
Telephone surveys enable us to collect \n data in a cost-effective and timely manner, but may not be \n conducive for collecting detailed consumption or income data \n for measuring poverty due to the required length of the \n interview and complexity of the questions. Combining \n telephone surveys with a survey-to-survey imputation \n technique may be a solution, as this technique can produce \n reliable poverty estimates from only 10 to 20 sim…
Geography (3 works) · Economics (2 works) · Political science (2 works) · Welfare (2 works) · Agricultural risk and resilience (1 works) · Agriculture (1 works) · Climate change (1 works) · Climate change impacts on agriculture (1 works) · Demographic economics (1 works) · Econometrics (1 works)