### Table 7: Estimates for the preferred model in Table 6. Without With Heterogeneity Heterogeneity

1995

"... In PAGE 25: ... Models 8 and 9 con rm that a change-point in 1959 ts better than one in either 1957 or 1961. Table7 shows the estimates for the preferred model in Table 6. Compositional and Child Mortality E ects Couples that are more educated tend to have less children, and urban women tend to have less children than rural women.... ..."

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### Table 2: Sectoral Export and Import Shares in World Trade (Percent)

"... In PAGE 8: ...PEC Model Regions ....................... 6 Table2 : Sectoral Export and Import Shares in World Trade .... In PAGE 8: ...able 19: Parameters in the APEC CGE Model ............................... 57 Table2 0: Variables in the APEC CGE Model .... In PAGE 8: ...able 20: Variables in the APEC CGE Model ................................ 58 Table2 1: Quantity Equations .... In PAGE 8: ...able 21: Quantity Equations .......................................... 59 Table2 2: Price Equations .... In PAGE 8: ...able 22: Price Equations ............................................. 59 Table2 3: Income and Expenditure Equations .... In PAGE 8: .................................. 60 Table2 4: Export and Externality Equations .... In PAGE 8: ................................... 61 Table2 5: AIDS Import Demand Equations .... In PAGE 8: ...able 25: AIDS Import Demand Equations .................................. 62 Table2 6: Migration Relations .... In PAGE 8: ...able 26: Migration Relations .......................................... 62 Table2 7: Market-Clearing Equations .... In PAGE 16: ...Table2 presents the share of each region apos;s exports and imports in total world trade from the base data used in the model. Aggregation of individual economies into regions for use in the model involved netting out trade among the combined economies, so that these data will not match data from other statistical sources on world trade volumes.... In PAGE 68: ...Table2 0: Variables in the APEC CGE Model Price block Migration block EXR(k) Exchange rate WGDFL(la,k,lb,l) Wage differentials PC(i,k) Consumption price of composite MIGL(la,k) Labor migration flows (within good category) PD(i,k) Domestic prices MIGRU(la,k) Labor migration flows (across PDA(i,k) Processors actual domestic sales category) price including subsidy PE(i,k,ctyl) Domestic price of exports Income and expenditure block PEK(i,k) Average domestic price of exports CDD(i,k) Private consumption demand PINDCON(k) Consumer price index CONTAX(k) Consumption taxes PM(i,k,ctyl) Domestic price of imports ENTSAV(k) Enterprise savings PQ(i,k) Price of composite goods ENTAX(k) Enterprise taxes PREM(i,k) Premium income from import ENTT(k) Government transfers to enterprises rationing ESR(k) Enterprise savings rate PVA(i,k) Value added price including EXPTAX(k) Export tax revenue subsidies FBAL(k) Overall current account balance PVAB(i,k) Value added price net of subsidies FBOR(k) Foreign borrowing by government PWE(i,ctyl,cty2) World price of exports FKAP(k) Foreign capital flow to enterprises PWM(i,ctyl,cty2) World price of imnports FSAV(k,ctyl) Bilateral net foreign savings PWERAT(i,k) Ratio of world export prices FSAVE(k) Foreign savings PWEFX(i) benchmark world export price FTAX(k) Factor taxes PX(i,k) Average output price GD(i,k) Government demand by sector TM2(i,k,ctyl) Import premium rates GDPVA(k) Nominal expenditure GDP GDTOT(k) Government real consumption Production block GOVSAV(k) Government saving D(i,k) Domestic sales of domestic output GOVREV(k) Government revenue E(i.ctyl,cty2) Bilateral exports HHT(k) Government transfers to households EK(i,k) Aggregate sectoral exports HSAV(k) Aggregate household savings INT(i,k) Intermediate demand HTAX(k) Household taxes M(i,cty],cty2) Bilateral imports ID(i,k) Investment demand (by sector of Q(i,k) Composite goods supply origin) SMQ(i,k,ctyl) Import value share in total sectoral INDTAX(k) Indirect tax revenue demand MPS(hh,k) Savings propensities by households X(i,k) Domestic output REMIT(k) Remittance income to households TARIPF(k,ctyl) Tariff revenue Factor block VATAX(k) Value added taxes AVWF(iff,k) Average wage with current weights YH(hh,k) Household income FDSC(i,iff,k) Factor demand by sector YINST(ins,k) Institutional income FPE(k) Total farm program expenditures ZPIX(k) Fixed aggregate real investment FS(iff,k) Factor supply ZTOT(k) Aggregate nominal investment FT(k) Factor tax rate WF(iff,k) Average factor price Externality effects WFDIST(i,iff,k) Factor differential SAD(i,k) Aggregate exports externality YFCTR(iff,k) Factor income parameter SAD2(i,k) Intermediate inputs externality parameter SAC(iff,k) Capital goods externality parameter EKPTL(k) Aggregate exports MKPTL(k) Capital goods imports Lewis, Robinson, and Wang ... In PAGE 69: ...Table2 1: Quantity Equations (1) X(i,k) = SAD(i,k)*SAD2(i,k)*AD2(i,k)*(SUM(iff,ALPHA2(i,iff,k)*FDSC(i,iff,k)**(-RHOP(i,k)))) **(-1IlRH0P(i,k)); (2) (1-ft(k))*WF(iff,k)*WFDIST(i,iff,k) = I - vatr(i,k))*pva(i,k)*SAD(i,k)*SAD2(i,k)*AD2(i,k) * ( SUM(f, ALPHA2(i,f,k) *FDSC(i ,f,k) **(-RHOP(i,k))))**((- I/RHOP(i,k))-I ) *ALPHA2(i,iff,k)*FDSC(i,iff,k)**(-RHOP(i,k)-1); (3) INT(i,k) = SUM(j, Io(i,j,k)*X(,k)); Model Specirication In addition to ten sectors for each country model, the model has four factors of production (two labor types, land, and capital), as identified in Table 18. The output-supply and input-demand equations are shown in Table 21.... In PAGE 69: ... In each economy, factors are not assumed to receive a uniform wage or quot;rental quot; (in the case of capital) across sectors; quot;factor market distortion quot; parameters (the WFDIST that appears in equation 2) are imposed that fix the ratio of the sectoral return to a factor relative to the economywide average return for that factor. Table2 2: Price Equations (4) PM(imi,k,ctyl) = PWM(imi,k,ctyl)*EXR(k) * (I + TM(imi,k,ctyl) + tm2(imi,k,ctyl) ); (5) PE(iei,k.cty1) = PWE(iei,k,c(yI) * (I - te(iei,k))*EXR(k); (6) PEK(ie,k) = SUM(ctyl$pt(k,ctyl), PE(i,k,ctyl) * E(i,k,ctyl) ) / EK(i,k); (7) PDA(i,k) = (1 - TX(i,k)) * PD(i,k); (8) PQ(i,k)*Q(i,k) = PD(i,k)*D(i.... In PAGE 71: ...Table2 3: Income and Expenditure Equations (14) YFCTR(iff,k) = SUM(i, (1 -ft(k))*WF(iff,k)*WFDIST(i,iff,k)*FDSC(i,iff,k)); (15) TARIFF(k,ctyl) = SUM(i$imi(i.k,cty1), TM(i,k,ctyl)*M(i,k,ctyl)*PWM(i,k,ctyl))*EXR(k); (16) PREM(i,k) = SUM(cty1 $imi(i,k,cty1), TM2(i,k,ctyl )*M(i,k,ctyl)*PWM(i,k,ctyl))*EXR(k); (17) INDTAX(k) = SUM(i, TX(i,k)*PD(i,k)*D(i,k)); (18) EXPTAX(k) = SUM((i,ctyl), te(i,k)*PWE(i,k,ctyl)*E(i,k,ctyl )*EXR(k)); (19) YINST( quot;labr quot;,k) = SUM(la, YFCTR(la,k)); (20) YINST( quot;enl quot;,k) = YFCTR(`capital quot;,k) + EXR(k)*FKAP(k) - ENTSAV(k) - ENTAX(k) + ENTT(k) + SUM(i ,( I-sprem(i,k))*PREM(i, k)); (21) YINST( quot;prop quot;.... In PAGE 72: ...Table2 4: Export and Externality Equations (42) X(iel,k) = AT(iel,k)*(GAMMAK(iel,k)*EK(iel,k)**(-RHOT(iel,k)) + (I - GAMMAK(iel,k))*D(iel,k) * apos;(-RHOT(iel ,k)))**(-l/RHOT(iel ,k)); (43) X(ien,k) = D(ien,k); (44) EK(iel,k) = D(ie I ,k)*(PDA(iel ,k)/PEK(iel .k)*GAMMAK(iel,k)/(I-GAMMAK(iel .... In PAGE 72: ... Increased aggregate exports yields a higher value of SAC, which is quot;embodied quot; in the capital stock input into the production process. Table2 5: AIDS Import Demand Equations (56) PM(i,k,k) = PD(i,k). (57) LOG(PQ(i.... In PAGE 73: ... The composite price index, PQ, is defined in equation 57 as a translog price index [Deaton and Muellbauer (1980)].33 Table2 6: Migration Relations (62) (AVWF(la,k)/EXR(k)) = wgdfl(la,k.la,l)*(AVWF(la,l)/EXR(l)) (63) FS(la,k) = FSO(la.... In PAGE 73: ... Domestic labor supply in each skill category in each country is then adjusted by the migrant labor flow (equation 63), while the other two equations insure that workers do not apos;disappear quot; or get quot;created quot; in the migration process. Table2 7: Market-Clearing Equations (66) Q(i,k) = INT(i,k) + CDD(i.k) + GD(i,k) + ID(i.... ..."

### Table 2: Real-World Data Description Soc Kids

"... In PAGE 7: ... Text and meta information were extracted from web pages and the vector space model was applied to represent web pages. Table2 summarizes the two data sets. In order to examine if a predeflned semantics-based hier- archy can provide useful prior knowledge for search, we also compared with the \start from scratch quot; approach: ignore 500 1000 2000 5000 7500 10000 0.... ..."

### Table 2: Real-World Data Description Soc Kids

"... In PAGE 7: ... Text and meta information were extracted from web pages and the vector space model was applied to represent web pages. Table2 summarizes the two data sets. In order to examine if a predefined semantics-based hier- archy can provide useful prior knowledge for search, we also 500 1000 2000 5000 7500 10000 0.... ..."

### Table 9 (Continued) Determinants of Take-Home Pay (in Log) in Urban Areas, Excluding Agriculture Ecuador

"... In PAGE 25: ...4 The remaining industries were defined as those containing at least a hundred and fifty observations in each of the two countries. The list of industries can be found in Table9 . This Table also reports results for earnings functions estimated under two specifications.... ..."

### Table 2: Sectoral Export and Import Shares in World Trade (Percent)

"... In PAGE 9: ...8 With a tremendous range in factor endowments and income levels among the APEC economies, there is ample scope for Heckscher-Ohlin forces (based on different factor endowments) to influence trade. Table2 presents the share of each region apos;s exports and imports in total world trade from the base data used in the model. The OECD economies dominate the machinery and equipment sector, while China and Korea amp; Taiwan are major participants in the textiles and apparel sectors (along with the EU).... ..."

### Table 1. Sample agent assignment to a sequence of rescues

2005

"... In PAGE 5: ... This policy chooses the lifesaver that most agents voted for (in the event of a tie, the top agent in an ordered list of agents is selected). Table1 illustrates the assignment of agents to a sequence of rescues under the major- ity selection policy (the values obtained after each rescue are boldfaced). The first col- umn shows the time of the rescue; the second column lists the observer agents; the third and fourth columns show the agent proposed by each observer agent and the agent se- lected by the majority selection policy, respectively.... In PAGE 5: ... Columns 5-7 contain the observed performance of the lifesaver agents; and columns 8-10 contain the models resulting from these observations (we have listed only the mean of the observed performance). The first two rows in Table1 (for time T0) contain the initial conditions of the collaboration. Columns 8-10 contain the initial values of the models maintained by A1 and A2 for the Internal Resources (rescue performance) of A1, A2 and A3.... In PAGE 8: ... Our measure of task performance for a run is the mean of the IR distribution for the agent on which the observers eventually converged. For instance, in the example in Table1 , this agent is A2, whose IRA2(rescue) has mean 0.... ..."

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### Table 1: Sample agent assignment to a sequence of rescues.

"... In PAGE 4: ... This policy chooses the lifesaver that most agents voted for (in the event of a tie, the top agent in an ordered list of agents is selected). Table1 illustrates the assignment of agents to a sequence of rescues under the majority voting policy (the values ob- tained after each rescue are boldfaced). The first column shows the time of the rescue; the second column lists the ob- server agents; the third and fourth columns show the agent proposed by each observer agent and the agent selected by the majority voting policy, respectively.... In PAGE 4: ... Columns 5-7 con- tain the observed performance of the lifesaver agents; and columns 8-10 contain the models resulting from these ob- servations (we have listed only the mean of the observed performance). The first two rows in Table1 (corresponding to time T0) contain the initial conditions of the collaboration. Columns 8-10 contain the initial values of the models maintained by A1 and A2 for the Internal Resources (rescue performance) of A1, A2 and A3.... ..."

Cited by 4

### Table 1. Sample agent assignment to a sequence of rescues.

"... In PAGE 4: ... This policy chooses the life- saver that most agents voted for (in the event of a tie, the top agent in an ordered list of agents is selected). Table1 illustrates the assignment of agents to a sequence of rescues under the majority voting policy (the values ob- tained after each rescue are boldfaced). The first column shows the time of the rescue; the second column lists the ob- server agents; the third and fourth columns show the agent proposed by each observer agent and the agent selected by the majority voting policy, respectively.... In PAGE 4: ... Columns 5-7 con- tain the observed performance of the lifesaver agents; and columns 8-10 contain the models resulting from these ob- servations (we have listed only the mean of the observed performance). The first two rows in Table1 (corresponding to time T0) contain the initial conditions of the collaboration. Columns 8-10 contain the initial values of the models maintained by A1 and A2 for the Internal Resources (rescue performance) of A1, A2 and A3.... ..."

### Table 1: Sensor Description

1997

"... In PAGE 3: ... The first position is along the X axis of the search area while the other is along the Y axis. A summary of the sensors is provided in Table1 . For comparison purposes, two management schemes were modeled.... ..."

Cited by 1