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CPS2073 Alban Çela et al.
               Table 1: Stratification by size of the household/farm based on 14 auxiliary variables

                                               Sampling Design
               Variables  Size 1       Size 2            Size 3          Size 4
               UAA       if B2_09_a>80000  else if B2_09_a>9200  else if B2_09_a>2000  else if B2_09_a<=2000
               Cows      if D1_06_2>20  else if D1_06_2>7  else if D1_06_2>1  else if D1_06_2<=1
               Sheeps    if D2_11>150  else if D2_11>40  else if D2_11>20  else if D2_11<=20
               Goats     if D3_15>150  else if D3_15>40  else if D3_15>14  else if D3_15<=14
               Saws      if D4_17>9    else if D4_17>5   else if D4_17>1  else if D4_17<=1
               Green House if GH>=4000  else if GH>2500  else if GH>1500  else if GH<=1500
               wheat     if C1_10>=25000  else if C1_10>10000  else if C1_10>2000  else if C1_10<=2000
               Root      if root>=2200  else if root>1000  else if root>300  else if root<=300
               Indust    if indust>=7500  else if indust>5000  else if indust>1000  else if indust<=1000
               Dried     if dried>=9000  else if dried>5000  else if dried>300  else if dried<=300
               Harvest   if harvest>=50000  else if harvest>6000  else if harvest>2000  else if harvest<=2000
               Arable Land  if arable_land>=70000 else if arable_land>10000 else if arable_land>2000 else if arable_land<=2000
               Citrus    if Citrus>=10000  else if Citrus>2000  else if Citrus>700  else if Citrus<=700
               Poultry   if Poultry>400  else if Poultry>100  else if Poultry>50  else if Poultry<=50
                   The main idea for calibration is to use ACC data set as a source of the
               household/farm  size  strata  2,  3 and  4 and  form  the  survey  ASS  to use  an
               existing part, household/farm size strata 1. The ACC sampling was based on a
               population census, and the ASS was based on the agricultural census plus data
               from the MARDWA which is collecting from the big farm on monthly bases.
               Analysing coefficients of variances and standard error of the auxiliary variables
               was  chosen  the  most  suitable  methods  for  the  variable  Arable  Land  and
               Number of Farms.
                   Marginal tables were corrected for ratios between coefficients for the two
               most important auxiliary variables.
               Table 2: Ratios between marginal coefficients between Number of Farms and Arable
                                            Land by Prefecture

                                                      Marginal Coefficients
                       Prefecture
                                              Ratio  Number of Farms / Arable Land

                 Total                                                           0.9969
                 Berat                                                                             0.9759
                 Dibër                                                                             0.9826
                 Durrës                                                                            0.9729
                 Ebasan                                                                            1.0542
                 Fier                                                                              1.1041
                 Gjirokastër                                                                       0.6118
                 Korçë                                                                             0.7569
                 Kukës                                                                             0.8031
                 Lezhë                                                                             0.9239
                 Shkodër                                                                           0.7188
                 Tiranë                                                                            1.7382
                 Vlorë                                                                             1.4266



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