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PRHSPlymouth Regional High School
PRHSPort Richmond High School (Staten Island, NY)
PRHSPine-Richland High School (Gibsonia, PA)
PRHSPinelands Regional High School (Tuckerton, NJ)
PRHSPine River High School
PRHSPalawan Resort Hotel Systems, Inc. (Philippines)
PRHSPeter Rabbit Home School (New Mexico)
PRHSPoint Reyes Headland South (California)
PRHSPalmetto Ridge High School (Naples, FL)
PRHSPeachtree Ridge High School
PRHSPentucket Regional High School (West Newbury, MA)
PRHSPaso Robles High School (California)
PRHSPearl River High School
PRHSPine Ridge High School (Pine Ridge, South Dakota)
References in periodicals archive ?
In both the approaches, the correlates are from the 2001 round of PRHS, and the difference in selected variables between 2001-2010 have also been included in the analyses.
1700 N 1,349 Source: Authors' estimation from the micro-data of PRHS 2001, PRHS 2004 and PPHS 2010.
Table-A1 Households Covered during the Three Waves of the Panel Survey PRHS 2004 Panel Split Total House- House- PRHS holds holds 2001 Pakistan 2721 1614 293 1907 Punjab 1071 933 146 1079 Sindh 808 681 147 828 KP 447 -- -- -- Balochistan 395 -- -- -- PPHS 2010 Panel Split Total Urban Total House- House- Rural House- Sample holds holds house- holds holds Pakistan 2198 602 2800 1342 4142 Punjab 893 328 1221 657 1878 Sindh 663 189 852 359 1211 KP 377 58 435 166 601 Balochistan 265 27 292 160 452
The 2004 PRHS includes a census of schools within each village.
Balochistan was not part of the IFPRI panel so the PRHS included three districts from Balochistan, namely Loralai, Khuzdar and Gawadar (Table 1).
From the 12 new districts, PRHS selected 98 more PSUs (villages/deh) randomly.
The second notable thing was that only a sub-sample of PRHS data was used.
The IFPRI households visited after 11 years in 2001-02 under the survey of the PRHS.
In the combined panel of IFPRI (1990-91) and PRHS (2001), chronic poor were 35 percent.
Table 2 summarises the PRHS data for average household characteristics according to operated farm size, dividing farms into four separate categories: households without operated agricultural land (but with livestock or land leasing as main income source), small farms (up to 4 acres), medium farms (between 4 and 20 acres), and large farms (more than 20 acres).
Thus, in the simulations, most of the gains in total agricultural labour incomes accrue to farm households (reflecting the average distribution of agricultural labour incomes in the PRHS surveys).
8 percent of land in Pakistan is sharecropped (Table 6), and of this, an estimated 35 percent of tenants are not supervised (based on the PRHS 2001-02 data), the effect on total production of major crops is only 1.