Quite lazy to type tonight, so for recipe refer here and replace chicken with beef which has been boiled until soften.
Untuk resipi, sila lihat kat sini ya, tapi gantikan ayam dgn daging yg telah di rebus sehingga empuk.
Beef in Kaprau Sauce (Daging Masak ala Kaprau)
Quite lazy to type tonight, so for recipe refer here and replace chicken with beef which has been boiled until soften.
Untuk resipi, sila lihat kat sini ya, tapi gantikan ayam dgn daging yg telah di rebus sehingga empuk.
The Rising Cost of Food Stamps
A recent article in the Economist discusses the rising costs of food stamps in recent years. As the chart (right) indicates, costs have risen from $35 billion in 2008 to $65 billion last year. Participation has also increased, as nearly 45 million (or one in seven) Americans were recipients of food stamps in April 2011. With budget debates continuing, Republican leaders in the House of Representatives have proposed a 20% reduction in spending on the program by 2015 in their budget outline for next year. The author of this article points out, however, that benefits are "far from lavish," the average being $133 a month, and the recipients are the neediest portion of the population. About half of recipients are children and 18% are elderly. To be eligible, recipients must be receiving an income of 130% or less of the poverty line, but 41% of recipients earn half of that amount or less and 18% earn no income at all. The author also discusses the economic benefits of the food stamps program, quoting Jim Weill of the Food Research and Action Centre, who argues that food stamps stimulate the economy more than other forms of government spending because the money is typically spent immediately due to the low income of recipients.BRL cf
Kek Lumut Sarawak II (Sarawak Steamed Green Cake II)
My hubby really loves this cake and he did not stop eating it one by one while complementing the taste. Indeed this is very different than the first Kek Lumut version that I tried earlier here in term of ingredients/texture/taste - it is softer and crumbly and most of all tastier. I will definitely make this again in the future but perhaps should reduce the amount of butter slightly. Thanks so much Nur Cayang & to your kind mum too for sharing a great recipe.
Sorry for keep you waiting. It was passed 1 am when I posted it last night and hence was too tired to type the recipe.
By: Roz@HomeKreation
Source: email from Nur68
Recipe below is half of the original measurement
Size: 8" Round
INGREDIENTS:5 Eggs
1 cup Caster Sugar
8oz Butter
½ cup Sugee Flour
1 cup Nestum
½ cup Ideal Milk
½ cup Tea (2 tsp tea powder + water)
Green Color (I used Pandan Paste)
METHOD:
1. Beat egg until fluffy.
Add in sugar gradually while beating.
2. Beat butter until fluffy & add into egg batter.
Add in sugee flour & nestum until well mixed.
Add in milk, tea & green coloring.
3. Steam for 2 hours until cooked.
**************************
Resipi sumbangan daripada sahabat blogger Nur68. Menurut ibu nya ini ialah resepi dulu2 yg asal & tiada menggunakan tepung. Nur kata kalau cair boleh tambah tepung tapi Along tak tambah pun & ok jer keras tapi mungkin kena kurangkan butter sedikit supaya tidak berminyak. Rasa nya tersangat enak sebab rasa suji & nestum yang harum. Maceh setinggi gunung Sentubong kepada Nur68 sebab sudi kongsikan resepi di sini.
Source: email drpd Nur68
Resepi di bawah ni Along dah separuhkan drpd yg asal.
Saiz: 8" BulatBAHAN2:
5 biji Telur
1 cwn Gula Halus
8oz Mentega
½ cwn Tepung Suji
1 cwn Nestum
½ cwn Susu Ideal
½ cwn Teh (2 st serbuk teh + air)
Pewarna Hijau (Along guna Pes Pandan)
CARA2:
1. Pukul telur sehingga kembang.
Masukkan gula sedikit2 sambil di pukul.
2. Pukul mentega sehingga kembang & campurkan ke dlm adunan telur.
Masukkan tepung suji & nestum & gaul sebati.
Masukkan susu, teh & pewarna hijau.
3. Kukus selama 2 jam sehingga masak.
Are Moderate Republican Governors Going Extinct?
In a recent FiveThirtyEight blog post, Nate Silver rated each governor's political ideology and the ideology of voters in the governor's state on a scale from liberal to conservative. He found that Republican governors--unlike their Democratic counterparts--are abandoning the middle, and are often taking conservative stances that outpace the more moderate views of the voters who elected them to office.Writes Silver: "Unlike for the Democrats, there is almost no ideological diversity within the group: essentially all of the current Republican governors are quite conservative, taking moderate positions on at most one or two issues. Also unlike the Democrats, there is no correlation between the ideology of the governors and the ideology of the states."
This may be a dangerous development for the Republican party, as "Politics 101 would suggest that you need to be at least somewhat responsive to voters in your state." According to Silver, it is also a fairly recent development. He plots the ideological stances of governors in office a year ago--before the 2010 elections--to show that "there were plenty of moderate Republican governors," many of whom have retired since.
Silver argues that Republican governors' distance from their state's ideology has made them unpopular--and may hurt the G.O.P. in the next election. He writes: "Retribution from the electorate is a strong possibility unless there is a change of course."
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Employment in Japan
We continue modeling the evolution of the employment rate in developed countries with Japan. In this study we use the trade-off between the change in unemployment and employment and Okun’s law. Figure 1 compares the change in the rate of employment (the employment/population ratio), de, and the rate of unemployment, du, in Japan. The change in the rate of unemployment is as volatile as that of unemployment and they differ drastically compared to the synchronized evolution of these variables in the U.S. That’s why we have failed to obtain a reasonable Okun’s law for Japan. As before, all data sets on unemployment and employment have been retrieved from the U.S. Bureau of Labor Statistics. The estimates of real GDP per capita have been retrieved from the database provided by the Conference Board.
Figure 1. The (negative) change in the rate of unemployment compared to the change in the rate of employment in Japan.
In this blog, we have already presented several empirical relationships predicting the employment/population ratio from the growth rate of real GDP per capita. This was a natural extension of Okun’s law for unemployment.
Here we estimate an employment/GDP model for Japan similar to Okun’s law. For Japan, the best-fit model has been obtained by the least-squares (applied to the cumulative sums):
det = 0.02dlnGt – 0.53, t<1978
det = 0.14dlnGt – 0.42, t>1977 (1)
where dlnGt is the change rate of real GDP per capita at time t. Figure 2 shows the cumulative curves for the time series in (1). There is a structural break near 1978 which is expressed by a dramatic shift in slope and a slight break in intercept. The employment/population ratio varies between from 64%% in 1970 and 56% in 2010. The agreement is excellent. Figure 3 present results of a linear regression with R2=0.95 for the period between 1971 and 2010. We consider both variables as stationary ones over the long run despite the obviously negative trend since 1970.
Figure 2. The cumulative curves for the observed and predicted change in the employment/population ratio, de.
Figure 3. Linear regression of the measured and predicted curves in Figure 2.
Employment in Australia
There is a trade-off between the change in unemployment and employment. Figure 1 compares the change in the rate of employment (the employment/population ratio), de, and the rate of unemployment, du, in Australia. As expected, the change in the rate of unemployment is more volatile. All data sets on unemployment and employment have been retrieved from the U.S. Bureau of Labor Statistics.
Figure 1. The (negative) change in the rate of unemployment compared to the change in the rate of employment in Australia.
In this blog, we have already presented several empirical relationships predicting the employment/population ratio from the growth rate of real GDP per capita. This was a natural extension of Okun’s law for unemployment.
Here we estimate an employment/GDP model for Australia similar to Okun’s law. For Australia, the best-fit model has been obtained by the least-squares (applied to the cumulative sums):
det = 0.50dlnGt – 0.92, t<1983
det = 0.41dlnGt – 1.08, t>1982 (1)
where dlnGt is the change rate of real GDP per capita at time t. Figure 2 shows the cumulative curves for the time series in (1). There is a structural break near 1994 which is expressed by significant shifts in slope and intercept. The employment/population ratio varies between from 55%% in 1983 and 64% in 2008. The agreement is very good. Figure 3 present results of a linear regression with R2=0.84 for the period between 1971 and 2010.
Figure 2. The cumulative curves for the observed and predicted change in the employment/population ratio, de.
Figure 3. Linear regression of the measured and predicted curves in Figure 2.
Employment in France
There is a trade-off between the change in unemployment and employment. Figure 1 compares the change in the rate of employment (the employment/population ratio), de, and the rate of unemployment, du, in France. As expected, the change in the rate of unemployment is more volatile except the shift in the employment rate near 1982. This is a completely artificial break from 53.2% in 1981 to 55.3% in 1982, and we do not need to model it. All data sets on unemployment and employment have been retrieved from the U.S. Bureau of Labor Statistics.
Figure 1. The (negative) change in the rate of unemployment compared to the change in the rate of employment in France.
In this blog, we have already presented several empirical relationships predicting the employment/population ratio from the growth rate of real GDP per capita. This was a natural extension of Okun’s law for unemployment.
Here we estimate an employment/GDP model for France similar to Okun’s law. For France, the best-fit model has been obtained by the least-squares (applied to the cumulative sums):
de = 0.155dlnG– 0.65, t<1994
de= 0.25dlnG – 0.30, t>1993 (1)
where dlnG is the change rate of real GDP per capita at time t. Figure 2 shows the cumulative curves for the time series in (1). There is a structural break near 1994 which is expressed by significant shifts in slope and intercept. The employment/population ratio varies between from ~56%% in 1970 and 50.4% in 1992. The agreement is very good. Figure 3 present results of a linear regression with R2=0.91 for the period between 1971 and 2010.
Figure 2. The cumulative curves for the observed and predicted change in the employment/population ratio, de.
Figure 3. Linear regression of the measured and predicted curves in Figure 2.
